PyTorch-executorch-issue 3443 terminal.txt

[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_593, %getitem_594, %getitem_595, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_188, %getitem_594, %getitem_595, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_108 : [num_users=1] = get_attr[target=lowered_module_108]
    backend_id: CoreMLBackend
    lowered graph():
      %arg55_1 : [num_users=1] = placeholder[target=arg55_1]
      %_lifted_tensor_constant827 : [num_users=1] = placeholder[target=_lifted_tensor_constant827]
      %quantized_decomposed_dequantize_per_channel_group_default_188 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_188]
      %quantized_decomposed_dequantize_per_token_default_188 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_188]
      %aten_add_tensor_186 : [num_users=1] = placeholder[target=aten_add_tensor_186]
      %aten_permute_copy_default_323 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_188, [1, 0]), kwargs = {})
      %aten_view_copy_default_916 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_188, [1, 11008]), kwargs = {})
      %aten_mm_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_916, %aten_permute_copy_default_323), kwargs = {})
      %aten_view_copy_default_917 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_188, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_188 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_186, %aten_view_copy_default_917), kwargs = {})
      %aten_mul_tensor_432 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_188, %aten_add_tensor_188), kwargs = {})
      %aten_mean_dim_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_432, [-1], True), kwargs = {})
      %aten_add_tensor_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_54, %_lifted_tensor_constant827), kwargs = {})
      %aten_rsqrt_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_189,), kwargs = {})
      %aten_mul_tensor_433 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_188, %aten_rsqrt_default_54), kwargs = {})
      %aten_mul_tensor_434 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_433, %arg55_1), kwargs = {})
      return (aten_add_tensor_188, aten_mul_tensor_434)
  %executorch_call_delegate_108 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_108, %quantized_decomposed_dequantize_per_channel_group_default_188, %quantized_decomposed_dequantize_per_token_default_188, %getitem_587), kwargs = {})
  %getitem_596 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_108, 0), kwargs = {})
  %getitem_597 : [num_users=6] = call_function[target=operator.getitem](args = (%executorch_call_delegate_108, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_189 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_597, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_190 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_597, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_191 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_597, torch.int8), kwargs = {})
  %getitem_598 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_189, 0), kwargs = {})
  %getitem_599 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_189, 1), kwargs = {})
  %getitem_600 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_190, 0), kwargs = {})
  %getitem_601 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_190, 1), kwargs = {})
  %getitem_602 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_191, 0), kwargs = {})
  %getitem_603 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_191, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_597, %getitem_598, %getitem_599, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_597, %getitem_600, %getitem_601, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_597, %getitem_602, %getitem_603, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_189, %getitem_598, %getitem_599, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_190, %getitem_600, %getitem_601, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_191, %getitem_602, %getitem_603, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_109 : [num_users=1] = get_attr[target=lowered_module_109]
    backend_id: CoreMLBackend
    lowered graph():
      %arg727_1 : [num_users=1] = placeholder[target=arg727_1]
      %arg726_1 : [num_users=3] = placeholder[target=arg726_1]
      %arg725_1 : [num_users=3] = placeholder[target=arg725_1]
      %quantized_decomposed_dequantize_per_channel_group_default_189 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_189]
      %quantized_decomposed_dequantize_per_channel_group_default_190 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_190]
      %quantized_decomposed_dequantize_per_channel_group_default_191 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_191]
      %aten_index_tensor : [num_users=1] = placeholder[target=aten_index_tensor]
      %aten_index_tensor_1 : [num_users=1] = placeholder[target=aten_index_tensor_1]
      %quantized_decomposed_dequantize_per_token_default_189 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_189]
      %quantized_decomposed_dequantize_per_token_default_190 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_190]
      %quantized_decomposed_dequantize_per_token_default_191 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_191]
      %arg840_1 : [num_users=3] = placeholder[target=arg840_1]
      %aten_scalar_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.scalar_tensor.default](args = (-inf,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
      %aten_permute_copy_default_324 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_189, [1, 0]), kwargs = {})
      %aten_permute_copy_default_325 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_190, [1, 0]), kwargs = {})
      %aten_permute_copy_default_326 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_191, [1, 0]), kwargs = {})
      %aten_view_copy_default_929 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_930 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_918 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_189, [1, 4096]), kwargs = {})
      %aten_view_copy_default_920 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_190, [1, 4096]), kwargs = {})
      %aten_view_copy_default_922 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_191, [1, 4096]), kwargs = {})
      %aten_unsqueeze_copy_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%arg727_1, 0), kwargs = {})
      %aten_mm_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_918, %aten_permute_copy_default_324), kwargs = {})
      %aten_mm_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_920, %aten_permute_copy_default_325), kwargs = {})
      %aten_mm_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_922, %aten_permute_copy_default_326), kwargs = {})
      %aten_unsqueeze_copy_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_unsqueeze_copy_default_220, 1), kwargs = {})
      %aten_view_copy_default_919 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_189, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_921 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_190, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_923 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_191, [1, 1, 4096]), kwargs = {})
      %aten_index_tensor_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%aten_unsqueeze_copy_default_221, [None, None, %arg840_1]), kwargs = {})
      %aten_view_copy_default_924 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_919, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_925 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_921, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_926 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_923, [1, 1, 32, 128]), kwargs = {})
      %aten_full_like_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.full_like.default](args = (%aten_index_tensor_29, 0), kwargs = {dtype: torch.float32, pin_memory: False, memory_format: torch.preserve_format})
      %aten_logical_not_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.logical_not.default](args = (%aten_index_tensor_29,), kwargs = {})
      %aten_view_copy_default_927 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_924, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_view_copy_default_928 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_925, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_permute_copy_default_329 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_926, [0, 2, 1, 3]), kwargs = {})
      %aten_where_self_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.where.self](args = (%aten_logical_not_default_27, %aten_scalar_tensor_default_27, %aten_full_like_default_27), kwargs = {})
      %aten_slice_copy_tensor_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_927, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_927, 4, 1, 2), kwargs = {})
      %aten_slice_copy_tensor_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_928, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_928, 4, 1, 2), kwargs = {})
      %aten_view_copy_default_934 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_329, [32, 1, 128]), kwargs = {})
      %aten_squeeze_copy_dims_108 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_108, [4]), kwargs = {})
      %aten_squeeze_copy_dims_109 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_109, [4]), kwargs = {})
      %aten_squeeze_copy_dims_110 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_110, [4]), kwargs = {})
      %aten_squeeze_copy_dims_111 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_111, [4]), kwargs = {})
      %aten_index_put_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg726_1, [None, None, %arg840_1], %aten_view_copy_default_934), kwargs = {})
      %aten_mul_tensor_435 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_108, %aten_view_copy_default_929), kwargs = {})
      %aten_mul_tensor_437 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_108, %aten_view_copy_default_930), kwargs = {})
      %aten_mul_tensor_436 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_109, %aten_view_copy_default_930), kwargs = {})
      %aten_mul_tensor_438 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_109, %aten_view_copy_default_929), kwargs = {})
      %aten_mul_tensor_439 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_110, %aten_view_copy_default_929), kwargs = {})
      %aten_mul_tensor_441 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_110, %aten_view_copy_default_930), kwargs = {})
      %aten_mul_tensor_440 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_111, %aten_view_copy_default_930), kwargs = {})
      %aten_mul_tensor_442 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_111, %aten_view_copy_default_929), kwargs = {})
      %aten_slice_scatter_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg726_1, %aten_index_put_default_55, 1, 0, 9223372036854775807), kwargs = {})
      %aten_sub_tensor_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_435, %aten_mul_tensor_436), kwargs = {})
      %aten_add_tensor_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_437, %aten_mul_tensor_438), kwargs = {})
      %aten_sub_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_439, %aten_mul_tensor_440), kwargs = {})
      %aten_add_tensor_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_441, %aten_mul_tensor_442), kwargs = {})
      %aten_slice_scatter_default_111 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg726_1, %aten_slice_scatter_default_110, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_54, 4), kwargs = {})
      %aten_unsqueeze_copy_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_190, 4), kwargs = {})
      %aten_unsqueeze_copy_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_55, 4), kwargs = {})
      %aten_unsqueeze_copy_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_191, 4), kwargs = {})
      %aten_unsqueeze_copy_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_111, 2), kwargs = {})
      %aten_cat_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_216, %aten_unsqueeze_copy_default_217], -1), kwargs = {})
      %aten_cat_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_218, %aten_unsqueeze_copy_default_219], -1), kwargs = {})
      %aten_expand_copy_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_223, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_view_copy_default_931 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_54, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_932 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_55, [1, 1, 32, 128]), kwargs = {})
      %aten_clone_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_163,), kwargs = {memory_format: torch.contiguous_format})
      %aten_permute_copy_default_327 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_931, [0, 2, 1, 3]), kwargs = {})
      %aten_permute_copy_default_328 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_932, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_936 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_55, [1, 32, 128, 128]), kwargs = {})
      %aten_mul_scalar_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_327, 0.29730177875068026), kwargs = {})
      %aten_view_copy_default_933 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_328, [32, 1, 128]), kwargs = {})
      %aten_expand_copy_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_view_copy_default_936, [1, 32, 128, 128]), kwargs = {})
      %aten_expand_copy_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_54, [1, 32, 1, 128]), kwargs = {})
      %aten_index_put_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg725_1, [None, None, %arg840_1], %aten_view_copy_default_933), kwargs = {})
      %aten_view_copy_default_941 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_167, [32, 128, 128]), kwargs = {})
      %aten_view_copy_default_937 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_164, [32, 1, 128]), kwargs = {})
      %aten_slice_scatter_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg725_1, %aten_index_put_default_54, 1, 0, 9223372036854775807), kwargs = {})
      %aten_slice_scatter_default_109 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg725_1, %aten_slice_scatter_default_108, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_109, 2), kwargs = {})
      %aten_expand_copy_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_222, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_clone_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_162,), kwargs = {memory_format: torch.contiguous_format})
      %aten_view_copy_default_935 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_54, [1, 32, 128, 128]), kwargs = {})
      %aten_permute_copy_default_330 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_935, [0, 1, 3, 2]), kwargs = {})
      %aten_mul_scalar_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_330, 0.29730177875068026), kwargs = {})
      %aten_expand_copy_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_55, [1, 32, 128, 128]), kwargs = {})
      %aten_view_copy_default_938 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_165, [32, 128, 128]), kwargs = {})
      %aten_bmm_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_937, %aten_view_copy_default_938), kwargs = {})
      %aten_view_copy_default_939 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_54, [1, 32, 1, 128]), kwargs = {})
      %aten_add_tensor_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_view_copy_default_939, %aten_where_self_27), kwargs = {})
      %aten__softmax_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_192, -1, False), kwargs = {})
      %aten_expand_copy_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten__softmax_default_27, [1, 32, 1, 128]), kwargs = {})
      %aten_view_copy_default_940 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_166, [32, 1, 128]), kwargs = {})
      %aten_bmm_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_940, %aten_view_copy_default_941), kwargs = {})
      %aten_view_copy_default_942 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_55, [1, 32, 1, 128]), kwargs = {})
      %aten_permute_copy_default_331 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_942, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_943 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_331, [1, 1, 4096]), kwargs = {})
      return (aten_slice_scatter_default_111, aten_slice_scatter_default_109, aten_view_copy_default_943)
  %executorch_call_delegate_109 : [num_users=3] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_109, %arg726_1, %arg725_1, %quantized_decomposed_dequantize_per_channel_group_default_189, %quantized_decomposed_dequantize_per_channel_group_default_190, %quantized_decomposed_dequantize_per_channel_group_default_191, %getitem_8, %getitem_9, %quantized_decomposed_dequantize_per_token_default_189, %quantized_decomposed_dequantize_per_token_default_190, %quantized_decomposed_dequantize_per_token_default_191, %arg840_1), kwargs = {})
  %getitem_604 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_109, 0), kwargs = {})
  %getitem_605 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_109, 1), kwargs = {})
  %getitem_606 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_109, 2), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_192 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_606, torch.int8), kwargs = {})
  %getitem_607 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_192, 0), kwargs = {})
  %getitem_608 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_192, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_606, %getitem_607, %getitem_608, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_192, %getitem_607, %getitem_608, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_110 : [num_users=1] = get_attr[target=lowered_module_110]
    backend_id: CoreMLBackend
    lowered graph():
      %arg56_1 : [num_users=1] = placeholder[target=arg56_1]
      %_lifted_tensor_constant828 : [num_users=1] = placeholder[target=_lifted_tensor_constant828]
      %quantized_decomposed_dequantize_per_channel_group_default_192 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_192]
      %quantized_decomposed_dequantize_per_token_default_192 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_192]
      %aten_add_tensor_188 : [num_users=1] = placeholder[target=aten_add_tensor_188]
      %aten_permute_copy_default_332 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_192, [1, 0]), kwargs = {})
      %aten_view_copy_default_944 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_192, [1, 4096]), kwargs = {})
      %aten_mm_default_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_944, %aten_permute_copy_default_332), kwargs = {})
      %aten_view_copy_default_945 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_192, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_193 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_188, %aten_view_copy_default_945), kwargs = {})
      %aten_mul_tensor_443 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_193, %aten_add_tensor_193), kwargs = {})
      %aten_mean_dim_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_443, [-1], True), kwargs = {})
      %aten_add_tensor_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_55, %_lifted_tensor_constant828), kwargs = {})
      %aten_rsqrt_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_194,), kwargs = {})
      %aten_mul_tensor_444 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_193, %aten_rsqrt_default_55), kwargs = {})
      %aten_mul_tensor_445 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_444, %arg56_1), kwargs = {})
      return (aten_add_tensor_193, aten_mul_tensor_445)
  %executorch_call_delegate_110 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_110, %quantized_decomposed_dequantize_per_channel_group_default_192, %quantized_decomposed_dequantize_per_token_default_192, %getitem_596), kwargs = {})
  %getitem_609 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_110, 0), kwargs = {})
  %getitem_610 : [num_users=4] = call_function[target=operator.getitem](args = (%executorch_call_delegate_110, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_193 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_610, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_194 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_610, torch.int8), kwargs = {})
  %getitem_611 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_193, 0), kwargs = {})
  %getitem_612 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_193, 1), kwargs = {})
  %getitem_613 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_194, 0), kwargs = {})
  %getitem_614 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_194, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_610, %getitem_611, %getitem_612, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_610, %getitem_613, %getitem_614, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_193, %getitem_611, %getitem_612, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_194, %getitem_613, %getitem_614, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_111 : [num_users=1] = get_attr[target=lowered_module_111]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_193 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_193]
      %quantized_decomposed_dequantize_per_channel_group_default_194 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_194]
      %quantized_decomposed_dequantize_per_token_default_193 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_193]
      %quantized_decomposed_dequantize_per_token_default_194 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_194]
      %aten_permute_copy_default_333 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_193, [1, 0]), kwargs = {})
      %aten_permute_copy_default_334 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_194, [1, 0]), kwargs = {})
      %aten_view_copy_default_946 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_193, [1, 4096]), kwargs = {})
      %aten_view_copy_default_948 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_194, [1, 4096]), kwargs = {})
      %aten_mm_default_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_946, %aten_permute_copy_default_333), kwargs = {})
      %aten_mm_default_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_948, %aten_permute_copy_default_334), kwargs = {})
      %aten_view_copy_default_947 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_193, [1, 1, 11008]), kwargs = {})
      %aten_view_copy_default_949 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_194, [1, 1, 11008]), kwargs = {})
      %aten_sigmoid_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_947,), kwargs = {})
      %aten_mul_tensor_446 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_947, %aten_sigmoid_default_27), kwargs = {})
      %aten_mul_tensor_447 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_446, %aten_view_copy_default_949), kwargs = {})
      return (aten_mul_tensor_447,)
  %executorch_call_delegate_111 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_111, %quantized_decomposed_dequantize_per_channel_group_default_193, %quantized_decomposed_dequantize_per_channel_group_default_194, %quantized_decomposed_dequantize_per_token_default_193, %quantized_decomposed_dequantize_per_token_default_194), kwargs = {})
  %getitem_615 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_111, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_195 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_615, torch.int8), kwargs = {})
  %getitem_616 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_195, 0), kwargs = {})
  %getitem_617 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_195, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_615, %getitem_616, %getitem_617, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_195, %getitem_616, %getitem_617, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_112 : [num_users=1] = get_attr[target=lowered_module_112]
    backend_id: CoreMLBackend
    lowered graph():
      %arg57_1 : [num_users=1] = placeholder[target=arg57_1]
      %_lifted_tensor_constant829 : [num_users=1] = placeholder[target=_lifted_tensor_constant829]
      %quantized_decomposed_dequantize_per_channel_group_default_195 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_195]
      %quantized_decomposed_dequantize_per_token_default_195 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_195]
      %aten_add_tensor_193 : [num_users=1] = placeholder[target=aten_add_tensor_193]
      %aten_permute_copy_default_335 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_195, [1, 0]), kwargs = {})
      %aten_view_copy_default_950 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_195, [1, 11008]), kwargs = {})
      %aten_mm_default_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_950, %aten_permute_copy_default_335), kwargs = {})
      %aten_view_copy_default_951 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_195, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_195 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_193, %aten_view_copy_default_951), kwargs = {})
      %aten_mul_tensor_448 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_195, %aten_add_tensor_195), kwargs = {})
      %aten_mean_dim_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_448, [-1], True), kwargs = {})
      %aten_add_tensor_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_56, %_lifted_tensor_constant829), kwargs = {})
      %aten_rsqrt_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_196,), kwargs = {})
      %aten_mul_tensor_449 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_195, %aten_rsqrt_default_56), kwargs = {})
      %aten_mul_tensor_450 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_449, %arg57_1), kwargs = {})
      return (aten_add_tensor_195, aten_mul_tensor_450)
  %executorch_call_delegate_112 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_112, %quantized_decomposed_dequantize_per_channel_group_default_195, %quantized_decomposed_dequantize_per_token_default_195, %getitem_609), kwargs = {})
  %getitem_618 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_112, 0), kwargs = {})
  %getitem_619 : [num_users=6] = call_function[target=operator.getitem](args = (%executorch_call_delegate_112, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_196 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_619, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_197 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_619, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_198 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_619, torch.int8), kwargs = {})
  %getitem_620 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_196, 0), kwargs = {})
  %getitem_621 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_196, 1), kwargs = {})
  %getitem_622 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_197, 0), kwargs = {})
  %getitem_623 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_197, 1), kwargs = {})
  %getitem_624 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_198, 0), kwargs = {})
  %getitem_625 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_198, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_619, %getitem_620, %getitem_621, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_619, %getitem_622, %getitem_623, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_619, %getitem_624, %getitem_625, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_196, %getitem_620, %getitem_621, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_197, %getitem_622, %getitem_623, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_198, %getitem_624, %getitem_625, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_113 : [num_users=1] = get_attr[target=lowered_module_113]
    backend_id: CoreMLBackend
    lowered graph():
      %arg751_1 : [num_users=1] = placeholder[target=arg751_1]
      %arg750_1 : [num_users=3] = placeholder[target=arg750_1]
      %arg749_1 : [num_users=3] = placeholder[target=arg749_1]
      %quantized_decomposed_dequantize_per_channel_group_default_196 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_196]
      %quantized_decomposed_dequantize_per_channel_group_default_197 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_197]
      %quantized_decomposed_dequantize_per_channel_group_default_198 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_198]
      %aten_index_tensor : [num_users=1] = placeholder[target=aten_index_tensor]
      %aten_index_tensor_1 : [num_users=1] = placeholder[target=aten_index_tensor_1]
      %quantized_decomposed_dequantize_per_token_default_196 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_196]
      %quantized_decomposed_dequantize_per_token_default_197 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_197]
      %quantized_decomposed_dequantize_per_token_default_198 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_198]
      %arg840_1 : [num_users=3] = placeholder[target=arg840_1]
      %aten_scalar_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.scalar_tensor.default](args = (-inf,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
      %aten_permute_copy_default_336 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_196, [1, 0]), kwargs = {})
      %aten_permute_copy_default_337 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_197, [1, 0]), kwargs = {})
      %aten_permute_copy_default_338 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_198, [1, 0]), kwargs = {})
      %aten_view_copy_default_963 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_964 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_952 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_196, [1, 4096]), kwargs = {})
      %aten_view_copy_default_954 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_197, [1, 4096]), kwargs = {})
      %aten_view_copy_default_956 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_198, [1, 4096]), kwargs = {})
      %aten_unsqueeze_copy_default_228 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%arg751_1, 0), kwargs = {})
      %aten_mm_default_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_952, %aten_permute_copy_default_336), kwargs = {})
      %aten_mm_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_954, %aten_permute_copy_default_337), kwargs = {})
      %aten_mm_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_956, %aten_permute_copy_default_338), kwargs = {})
      %aten_unsqueeze_copy_default_229 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_unsqueeze_copy_default_228, 1), kwargs = {})
      %aten_view_copy_default_953 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_196, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_955 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_197, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_957 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_198, [1, 1, 4096]), kwargs = {})
      %aten_index_tensor_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%aten_unsqueeze_copy_default_229, [None, None, %arg840_1]), kwargs = {})
      %aten_view_copy_default_958 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_953, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_959 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_955, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_960 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_957, [1, 1, 32, 128]), kwargs = {})
      %aten_full_like_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.full_like.default](args = (%aten_index_tensor_30, 0), kwargs = {dtype: torch.float32, pin_memory: False, memory_format: torch.preserve_format})
      %aten_logical_not_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.logical_not.default](args = (%aten_index_tensor_30,), kwargs = {})
      %aten_view_copy_default_961 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_958, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_view_copy_default_962 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_959, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_permute_copy_default_341 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_960, [0, 2, 1, 3]), kwargs = {})
      %aten_where_self_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.where.self](args = (%aten_logical_not_default_28, %aten_scalar_tensor_default_28, %aten_full_like_default_28), kwargs = {})
      %aten_slice_copy_tensor_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_961, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_961, 4, 1, 2), kwargs = {})
      %aten_slice_copy_tensor_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_962, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_962, 4, 1, 2), kwargs = {})
      %aten_view_copy_default_968 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_341, [32, 1, 128]), kwargs = {})
      %aten_squeeze_copy_dims_112 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_112, [4]), kwargs = {})
      %aten_squeeze_copy_dims_113 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_113, [4]), kwargs = {})
      %aten_squeeze_copy_dims_114 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_114, [4]), kwargs = {})
      %aten_squeeze_copy_dims_115 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_115, [4]), kwargs = {})
      %aten_index_put_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg750_1, [None, None, %arg840_1], %aten_view_copy_default_968), kwargs = {})
      %aten_mul_tensor_451 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_112, %aten_view_copy_default_963), kwargs = {})
      %aten_mul_tensor_453 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_112, %aten_view_copy_default_964), kwargs = {})
      %aten_mul_tensor_452 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_964), kwargs = {})
      %aten_mul_tensor_454 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_963), kwargs = {})
      %aten_mul_tensor_455 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_963), kwargs = {})
      %aten_mul_tensor_457 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_964), kwargs = {})
      %aten_mul_tensor_456 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_964), kwargs = {})
      %aten_mul_tensor_458 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_963), kwargs = {})
      %aten_slice_scatter_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg750_1, %aten_index_put_default_57, 1, 0, 9223372036854775807), kwargs = {})
      %aten_sub_tensor_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_451, %aten_mul_tensor_452), kwargs = {})
      %aten_add_tensor_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_453, %aten_mul_tensor_454), kwargs = {})
      %aten_sub_tensor_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_455, %aten_mul_tensor_456), kwargs = {})
      %aten_add_tensor_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_457, %aten_mul_tensor_458), kwargs = {})
      %aten_slice_scatter_default_115 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg750_1, %aten_slice_scatter_default_114, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_56, 4), kwargs = {})
      %aten_unsqueeze_copy_default_225 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_197, 4), kwargs = {})
      %aten_unsqueeze_copy_default_226 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_57, 4), kwargs = {})
      %aten_unsqueeze_copy_default_227 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_198, 4), kwargs = {})
      %aten_unsqueeze_copy_default_231 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_115, 2), kwargs = {})
      %aten_cat_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_224, %aten_unsqueeze_copy_default_225], -1), kwargs = {})
      %aten_cat_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_226, %aten_unsqueeze_copy_default_227], -1), kwargs = {})
      %aten_expand_copy_default_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_231, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_view_copy_default_965 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_56, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_966 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_57, [1, 1, 32, 128]), kwargs = {})
      %aten_clone_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_169,), kwargs = {memory_format: torch.contiguous_format})
      %aten_permute_copy_default_339 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_965, [0, 2, 1, 3]), kwargs = {})
      %aten_permute_copy_default_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_966, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_970 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_57, [1, 32, 128, 128]), kwargs = {})
      %aten_mul_scalar_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_339, 0.29730177875068026), kwargs = {})
      %aten_view_copy_default_967 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_340, [32, 1, 128]), kwargs = {})
      %aten_expand_copy_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_view_copy_default_970, [1, 32, 128, 128]), kwargs = {})
      %aten_expand_copy_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_56, [1, 32, 1, 128]), kwargs = {})
      %aten_index_put_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg749_1, [None, None, %arg840_1], %aten_view_copy_default_967), kwargs = {})
      %aten_view_copy_default_975 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_173, [32, 128, 128]), kwargs = {})
      %aten_view_copy_default_971 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_170, [32, 1, 128]), kwargs = {})
      %aten_slice_scatter_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg749_1, %aten_index_put_default_56, 1, 0, 9223372036854775807), kwargs = {})
      %aten_slice_scatter_default_113 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg749_1, %aten_slice_scatter_default_112, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_230 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_113, 2), kwargs = {})
      %aten_expand_copy_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_230, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_clone_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_168,), kwargs = {memory_format: torch.contiguous_format})
      %aten_view_copy_default_969 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_56, [1, 32, 128, 128]), kwargs = {})
      %aten_permute_copy_default_342 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_969, [0, 1, 3, 2]), kwargs = {})
      %aten_mul_scalar_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_342, 0.29730177875068026), kwargs = {})
      %aten_expand_copy_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_57, [1, 32, 128, 128]), kwargs = {})
      %aten_view_copy_default_972 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_171, [32, 128, 128]), kwargs = {})
      %aten_bmm_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_971, %aten_view_copy_default_972), kwargs = {})
      %aten_view_copy_default_973 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_56, [1, 32, 1, 128]), kwargs = {})
      %aten_add_tensor_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_view_copy_default_973, %aten_where_self_28), kwargs = {})
      %aten__softmax_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_199, -1, False), kwargs = {})
      %aten_expand_copy_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten__softmax_default_28, [1, 32, 1, 128]), kwargs = {})
      %aten_view_copy_default_974 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_172, [32, 1, 128]), kwargs = {})
      %aten_bmm_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_974, %aten_view_copy_default_975), kwargs = {})
      %aten_view_copy_default_976 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_57, [1, 32, 1, 128]), kwargs = {})
      %aten_permute_copy_default_343 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_976, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_977 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_343, [1, 1, 4096]), kwargs = {})
      return (aten_slice_scatter_default_115, aten_slice_scatter_default_113, aten_view_copy_default_977)
  %executorch_call_delegate_113 : [num_users=3] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_113, %arg750_1, %arg749_1, %quantized_decomposed_dequantize_per_channel_group_default_196, %quantized_decomposed_dequantize_per_channel_group_default_197, %quantized_decomposed_dequantize_per_channel_group_default_198, %getitem_8, %getitem_9, %quantized_decomposed_dequantize_per_token_default_196, %quantized_decomposed_dequantize_per_token_default_197, %quantized_decomposed_dequantize_per_token_default_198, %arg840_1), kwargs = {})
  %getitem_626 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_113, 0), kwargs = {})
  %getitem_627 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_113, 1), kwargs = {})
  %getitem_628 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_113, 2), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_199 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_628, torch.int8), kwargs = {})
  %getitem_629 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_199, 0), kwargs = {})
  %getitem_630 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_199, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_628, %getitem_629, %getitem_630, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_199, %getitem_629, %getitem_630, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_114 : [num_users=1] = get_attr[target=lowered_module_114]
    backend_id: CoreMLBackend
    lowered graph():
      %arg58_1 : [num_users=1] = placeholder[target=arg58_1]
      %_lifted_tensor_constant830 : [num_users=1] = placeholder[target=_lifted_tensor_constant830]
      %quantized_decomposed_dequantize_per_channel_group_default_199 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_199]
      %quantized_decomposed_dequantize_per_token_default_199 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_199]
      %aten_add_tensor_195 : [num_users=1] = placeholder[target=aten_add_tensor_195]
      %aten_permute_copy_default_344 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_199, [1, 0]), kwargs = {})
      %aten_view_copy_default_978 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_199, [1, 4096]), kwargs = {})
      %aten_mm_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_978, %aten_permute_copy_default_344), kwargs = {})
      %aten_view_copy_default_979 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_199, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_200 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_195, %aten_view_copy_default_979), kwargs = {})
      %aten_mul_tensor_459 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_200, %aten_add_tensor_200), kwargs = {})
      %aten_mean_dim_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_459, [-1], True), kwargs = {})
      %aten_add_tensor_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_57, %_lifted_tensor_constant830), kwargs = {})
      %aten_rsqrt_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_201,), kwargs = {})
      %aten_mul_tensor_460 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_200, %aten_rsqrt_default_57), kwargs = {})
      %aten_mul_tensor_461 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_460, %arg58_1), kwargs = {})
      return (aten_add_tensor_200, aten_mul_tensor_461)
  %executorch_call_delegate_114 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_114, %quantized_decomposed_dequantize_per_channel_group_default_199, %quantized_decomposed_dequantize_per_token_default_199, %getitem_618), kwargs = {})
  %getitem_631 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_114, 0), kwargs = {})
  %getitem_632 : [num_users=4] = call_function[target=operator.getitem](args = (%executorch_call_delegate_114, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_200 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_632, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_201 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_632, torch.int8), kwargs = {})
  %getitem_633 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_200, 0), kwargs = {})
  %getitem_634 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_200, 1), kwargs = {})
  %getitem_635 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_201, 0), kwargs = {})
  %getitem_636 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_201, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_632, %getitem_633, %getitem_634, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_632, %getitem_635, %getitem_636, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_200, %getitem_633, %getitem_634, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_201, %getitem_635, %getitem_636, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_115 : [num_users=1] = get_attr[target=lowered_module_115]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_200 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_200]
      %quantized_decomposed_dequantize_per_channel_group_default_201 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_201]
      %quantized_decomposed_dequantize_per_token_default_200 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_200]
      %quantized_decomposed_dequantize_per_token_default_201 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_201]
      %aten_permute_copy_default_345 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_200, [1, 0]), kwargs = {})
      %aten_permute_copy_default_346 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_201, [1, 0]), kwargs = {})
      %aten_view_copy_default_980 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_200, [1, 4096]), kwargs = {})
      %aten_view_copy_default_982 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_201, [1, 4096]), kwargs = {})
      %aten_mm_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_980, %aten_permute_copy_default_345), kwargs = {})
      %aten_mm_default_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_982, %aten_permute_copy_default_346), kwargs = {})
      %aten_view_copy_default_981 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_200, [1, 1, 11008]), kwargs = {})
      %aten_view_copy_default_983 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_201, [1, 1, 11008]), kwargs = {})
      %aten_sigmoid_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_981,), kwargs = {})
      %aten_mul_tensor_462 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_981, %aten_sigmoid_default_28), kwargs = {})
      %aten_mul_tensor_463 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_462, %aten_view_copy_default_983), kwargs = {})
      return (aten_mul_tensor_463,)
  %executorch_call_delegate_115 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_115, %quantized_decomposed_dequantize_per_channel_group_default_200, %quantized_decomposed_dequantize_per_channel_group_default_201, %quantized_decomposed_dequantize_per_token_default_200, %quantized_decomposed_dequantize_per_token_default_201), kwargs = {})
  %getitem_637 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_115, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_202 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_637, torch.int8), kwargs = {})
  %getitem_638 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_202, 0), kwargs = {})
  %getitem_639 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_202, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_637, %getitem_638, %getitem_639, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_202, %getitem_638, %getitem_639, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_116 : [num_users=1] = get_attr[target=lowered_module_116]
    backend_id: CoreMLBackend
    lowered graph():
      %arg59_1 : [num_users=1] = placeholder[target=arg59_1]
      %_lifted_tensor_constant831 : [num_users=1] = placeholder[target=_lifted_tensor_constant831]
      %quantized_decomposed_dequantize_per_channel_group_default_202 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_202]
      %quantized_decomposed_dequantize_per_token_default_202 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_202]
      %aten_add_tensor_200 : [num_users=1] = placeholder[target=aten_add_tensor_200]
      %aten_permute_copy_default_347 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_202, [1, 0]), kwargs = {})
      %aten_view_copy_default_984 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_202, [1, 11008]), kwargs = {})
      %aten_mm_default_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_984, %aten_permute_copy_default_347), kwargs = {})
      %aten_view_copy_default_985 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_202, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_202 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_200, %aten_view_copy_default_985), kwargs = {})
      %aten_mul_tensor_464 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_202, %aten_add_tensor_202), kwargs = {})
      %aten_mean_dim_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_464, [-1], True), kwargs = {})
      %aten_add_tensor_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_58, %_lifted_tensor_constant831), kwargs = {})
      %aten_rsqrt_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_203,), kwargs = {})
      %aten_mul_tensor_465 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_202, %aten_rsqrt_default_58), kwargs = {})
      %aten_mul_tensor_466 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_465, %arg59_1), kwargs = {})
      return (aten_add_tensor_202, aten_mul_tensor_466)
  %executorch_call_delegate_116 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_116, %quantized_decomposed_dequantize_per_channel_group_default_202, %quantized_decomposed_dequantize_per_token_default_202, %getitem_631), kwargs = {})
  %getitem_640 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_116, 0), kwargs = {})
  %getitem_641 : [num_users=6] = call_function[target=operator.getitem](args = (%executorch_call_delegate_116, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_203 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_641, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_204 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_641, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_205 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_641, torch.int8), kwargs = {})
  %getitem_642 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_203, 0), kwargs = {})
  %getitem_643 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_203, 1), kwargs = {})
  %getitem_644 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_204, 0), kwargs = {})
  %getitem_645 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_204, 1), kwargs = {})
  %getitem_646 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_205, 0), kwargs = {})
  %getitem_647 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_205, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_641, %getitem_642, %getitem_643, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_641, %getitem_644, %getitem_645, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_641, %getitem_646, %getitem_647, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_203, %getitem_642, %getitem_643, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_204, %getitem_644, %getitem_645, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_205, %getitem_646, %getitem_647, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_117 : [num_users=1] = get_attr[target=lowered_module_117]
    backend_id: CoreMLBackend
    lowered graph():
      %arg775_1 : [num_users=1] = placeholder[target=arg775_1]
      %arg774_1 : [num_users=3] = placeholder[target=arg774_1]
      %arg773_1 : [num_users=3] = placeholder[target=arg773_1]
      %quantized_decomposed_dequantize_per_channel_group_default_203 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_203]
      %quantized_decomposed_dequantize_per_channel_group_default_204 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_204]
      %quantized_decomposed_dequantize_per_channel_group_default_205 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_205]
      %aten_index_tensor : [num_users=1] = placeholder[target=aten_index_tensor]
      %aten_index_tensor_1 : [num_users=1] = placeholder[target=aten_index_tensor_1]
      %quantized_decomposed_dequantize_per_token_default_203 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_203]
      %quantized_decomposed_dequantize_per_token_default_204 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_204]
      %quantized_decomposed_dequantize_per_token_default_205 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_205]
      %arg840_1 : [num_users=3] = placeholder[target=arg840_1]
      %aten_scalar_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.scalar_tensor.default](args = (-inf,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
      %aten_permute_copy_default_348 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_203, [1, 0]), kwargs = {})
      %aten_permute_copy_default_349 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_204, [1, 0]), kwargs = {})
      %aten_permute_copy_default_350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_205, [1, 0]), kwargs = {})
      %aten_view_copy_default_997 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_998 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_986 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_203, [1, 4096]), kwargs = {})
      %aten_view_copy_default_988 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_204, [1, 4096]), kwargs = {})
      %aten_view_copy_default_990 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_205, [1, 4096]), kwargs = {})
      %aten_unsqueeze_copy_default_236 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%arg775_1, 0), kwargs = {})
      %aten_mm_default_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_986, %aten_permute_copy_default_348), kwargs = {})
      %aten_mm_default_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_988, %aten_permute_copy_default_349), kwargs = {})
      %aten_mm_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_990, %aten_permute_copy_default_350), kwargs = {})
      %aten_unsqueeze_copy_default_237 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_unsqueeze_copy_default_236, 1), kwargs = {})
      %aten_view_copy_default_987 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_203, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_989 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_204, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_991 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_205, [1, 1, 4096]), kwargs = {})
      %aten_index_tensor_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%aten_unsqueeze_copy_default_237, [None, None, %arg840_1]), kwargs = {})
      %aten_view_copy_default_992 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_987, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_993 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_989, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_994 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_991, [1, 1, 32, 128]), kwargs = {})
      %aten_full_like_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.full_like.default](args = (%aten_index_tensor_31, 0), kwargs = {dtype: torch.float32, pin_memory: False, memory_format: torch.preserve_format})
      %aten_logical_not_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.logical_not.default](args = (%aten_index_tensor_31,), kwargs = {})
      %aten_view_copy_default_995 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_992, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_view_copy_default_996 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_993, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_permute_copy_default_353 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_994, [0, 2, 1, 3]), kwargs = {})
      %aten_where_self_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.where.self](args = (%aten_logical_not_default_29, %aten_scalar_tensor_default_29, %aten_full_like_default_29), kwargs = {})
      %aten_slice_copy_tensor_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_995, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_995, 4, 1, 2), kwargs = {})
      %aten_slice_copy_tensor_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_996, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_996, 4, 1, 2), kwargs = {})
      %aten_view_copy_default_1002 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_353, [32, 1, 128]), kwargs = {})
      %aten_squeeze_copy_dims_116 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_116, [4]), kwargs = {})
      %aten_squeeze_copy_dims_117 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_117, [4]), kwargs = {})
      %aten_squeeze_copy_dims_118 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_118, [4]), kwargs = {})
      %aten_squeeze_copy_dims_119 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_119, [4]), kwargs = {})
      %aten_index_put_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg774_1, [None, None, %arg840_1], %aten_view_copy_default_1002), kwargs = {})
      %aten_mul_tensor_467 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_997), kwargs = {})
      %aten_mul_tensor_469 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_998), kwargs = {})
      %aten_mul_tensor_468 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_117, %aten_view_copy_default_998), kwargs = {})
      %aten_mul_tensor_470 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_117, %aten_view_copy_default_997), kwargs = {})
      %aten_mul_tensor_471 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_118, %aten_view_copy_default_997), kwargs = {})
      %aten_mul_tensor_473 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_118, %aten_view_copy_default_998), kwargs = {})
      %aten_mul_tensor_472 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_119, %aten_view_copy_default_998), kwargs = {})
      %aten_mul_tensor_474 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_119, %aten_view_copy_default_997), kwargs = {})
      %aten_slice_scatter_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg774_1, %aten_index_put_default_59, 1, 0, 9223372036854775807), kwargs = {})
      %aten_sub_tensor_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_467, %aten_mul_tensor_468), kwargs = {})
      %aten_add_tensor_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_469, %aten_mul_tensor_470), kwargs = {})
      %aten_sub_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_471, %aten_mul_tensor_472), kwargs = {})
      %aten_add_tensor_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_473, %aten_mul_tensor_474), kwargs = {})
      %aten_slice_scatter_default_119 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg774_1, %aten_slice_scatter_default_118, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_232 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_58, 4), kwargs = {})
      %aten_unsqueeze_copy_default_233 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_204, 4), kwargs = {})
      %aten_unsqueeze_copy_default_234 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_59, 4), kwargs = {})
      %aten_unsqueeze_copy_default_235 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_205, 4), kwargs = {})
      %aten_unsqueeze_copy_default_239 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_119, 2), kwargs = {})
      %aten_cat_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_232, %aten_unsqueeze_copy_default_233], -1), kwargs = {})
      %aten_cat_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_234, %aten_unsqueeze_copy_default_235], -1), kwargs = {})
      %aten_expand_copy_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_239, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_view_copy_default_999 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_58, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1000 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_59, [1, 1, 32, 128]), kwargs = {})
      %aten_clone_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_175,), kwargs = {memory_format: torch.contiguous_format})
      %aten_permute_copy_default_351 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_999, [0, 2, 1, 3]), kwargs = {})
      %aten_permute_copy_default_352 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1000, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1004 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_59, [1, 32, 128, 128]), kwargs = {})
      %aten_mul_scalar_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_351, 0.29730177875068026), kwargs = {})
      %aten_view_copy_default_1001 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_352, [32, 1, 128]), kwargs = {})
      %aten_expand_copy_default_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_view_copy_default_1004, [1, 32, 128, 128]), kwargs = {})
      %aten_expand_copy_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_58, [1, 32, 1, 128]), kwargs = {})
      %aten_index_put_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg773_1, [None, None, %arg840_1], %aten_view_copy_default_1001), kwargs = {})
      %aten_view_copy_default_1009 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_179, [32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1005 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_176, [32, 1, 128]), kwargs = {})
      %aten_slice_scatter_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg773_1, %aten_index_put_default_58, 1, 0, 9223372036854775807), kwargs = {})
      %aten_slice_scatter_default_117 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg773_1, %aten_slice_scatter_default_116, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_238 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_117, 2), kwargs = {})
      %aten_expand_copy_default_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_238, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_clone_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_174,), kwargs = {memory_format: torch.contiguous_format})
      %aten_view_copy_default_1003 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_58, [1, 32, 128, 128]), kwargs = {})
      %aten_permute_copy_default_354 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1003, [0, 1, 3, 2]), kwargs = {})
      %aten_mul_scalar_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_354, 0.29730177875068026), kwargs = {})
      %aten_expand_copy_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_59, [1, 32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1006 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_177, [32, 128, 128]), kwargs = {})
      %aten_bmm_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1005, %aten_view_copy_default_1006), kwargs = {})
      %aten_view_copy_default_1007 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_58, [1, 32, 1, 128]), kwargs = {})
      %aten_add_tensor_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_view_copy_default_1007, %aten_where_self_29), kwargs = {})
      %aten__softmax_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_206, -1, False), kwargs = {})
      %aten_expand_copy_default_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten__softmax_default_29, [1, 32, 1, 128]), kwargs = {})
      %aten_view_copy_default_1008 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_178, [32, 1, 128]), kwargs = {})
      %aten_bmm_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1008, %aten_view_copy_default_1009), kwargs = {})
      %aten_view_copy_default_1010 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_59, [1, 32, 1, 128]), kwargs = {})
      %aten_permute_copy_default_355 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1010, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1011 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_355, [1, 1, 4096]), kwargs = {})
      return (aten_slice_scatter_default_119, aten_slice_scatter_default_117, aten_view_copy_default_1011)
  %executorch_call_delegate_117 : [num_users=3] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_117, %arg774_1, %arg773_1, %quantized_decomposed_dequantize_per_channel_group_default_203, %quantized_decomposed_dequantize_per_channel_group_default_204, %quantized_decomposed_dequantize_per_channel_group_default_205, %getitem_8, %getitem_9, %quantized_decomposed_dequantize_per_token_default_203, %quantized_decomposed_dequantize_per_token_default_204, %quantized_decomposed_dequantize_per_token_default_205, %arg840_1), kwargs = {})
  %getitem_648 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_117, 0), kwargs = {})
  %getitem_649 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_117, 1), kwargs = {})
  %getitem_650 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_117, 2), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_206 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_650, torch.int8), kwargs = {})
  %getitem_651 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_206, 0), kwargs = {})
  %getitem_652 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_206, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_650, %getitem_651, %getitem_652, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_206, %getitem_651, %getitem_652, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_118 : [num_users=1] = get_attr[target=lowered_module_118]
    backend_id: CoreMLBackend
    lowered graph():
      %arg60_1 : [num_users=1] = placeholder[target=arg60_1]
      %_lifted_tensor_constant832 : [num_users=1] = placeholder[target=_lifted_tensor_constant832]
      %quantized_decomposed_dequantize_per_channel_group_default_206 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_206]
      %quantized_decomposed_dequantize_per_token_default_206 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_206]
      %aten_add_tensor_202 : [num_users=1] = placeholder[target=aten_add_tensor_202]
      %aten_permute_copy_default_356 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_206, [1, 0]), kwargs = {})
      %aten_view_copy_default_1012 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_206, [1, 4096]), kwargs = {})
      %aten_mm_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1012, %aten_permute_copy_default_356), kwargs = {})
      %aten_view_copy_default_1013 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_206, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_207 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_202, %aten_view_copy_default_1013), kwargs = {})
      %aten_mul_tensor_475 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_207, %aten_add_tensor_207), kwargs = {})
      %aten_mean_dim_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_475, [-1], True), kwargs = {})
      %aten_add_tensor_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_59, %_lifted_tensor_constant832), kwargs = {})
      %aten_rsqrt_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_208,), kwargs = {})
      %aten_mul_tensor_476 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_207, %aten_rsqrt_default_59), kwargs = {})
      %aten_mul_tensor_477 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_476, %arg60_1), kwargs = {})
      return (aten_add_tensor_207, aten_mul_tensor_477)
  %executorch_call_delegate_118 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_118, %quantized_decomposed_dequantize_per_channel_group_default_206, %quantized_decomposed_dequantize_per_token_default_206, %getitem_640), kwargs = {})
  %getitem_653 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_118, 0), kwargs = {})
  %getitem_654 : [num_users=4] = call_function[target=operator.getitem](args = (%executorch_call_delegate_118, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_207 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_654, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_208 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_654, torch.int8), kwargs = {})
  %getitem_655 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_207, 0), kwargs = {})
  %getitem_656 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_207, 1), kwargs = {})
  %getitem_657 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_208, 0), kwargs = {})
  %getitem_658 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_208, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_654, %getitem_655, %getitem_656, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_654, %getitem_657, %getitem_658, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_207, %getitem_655, %getitem_656, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_208, %getitem_657, %getitem_658, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_119 : [num_users=1] = get_attr[target=lowered_module_119]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_207 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_207]
      %quantized_decomposed_dequantize_per_channel_group_default_208 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_208]
      %quantized_decomposed_dequantize_per_token_default_207 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_207]
      %quantized_decomposed_dequantize_per_token_default_208 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_208]
      %aten_permute_copy_default_357 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_207, [1, 0]), kwargs = {})
      %aten_permute_copy_default_358 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_208, [1, 0]), kwargs = {})
      %aten_view_copy_default_1014 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_207, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1016 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_208, [1, 4096]), kwargs = {})
      %aten_mm_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1014, %aten_permute_copy_default_357), kwargs = {})
      %aten_mm_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1016, %aten_permute_copy_default_358), kwargs = {})
      %aten_view_copy_default_1015 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_207, [1, 1, 11008]), kwargs = {})
      %aten_view_copy_default_1017 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_208, [1, 1, 11008]), kwargs = {})
      %aten_sigmoid_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_1015,), kwargs = {})
      %aten_mul_tensor_478 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_1015, %aten_sigmoid_default_29), kwargs = {})
      %aten_mul_tensor_479 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_478, %aten_view_copy_default_1017), kwargs = {})
      return (aten_mul_tensor_479,)
  %executorch_call_delegate_119 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_119, %quantized_decomposed_dequantize_per_channel_group_default_207, %quantized_decomposed_dequantize_per_channel_group_default_208, %quantized_decomposed_dequantize_per_token_default_207, %quantized_decomposed_dequantize_per_token_default_208), kwargs = {})
  %getitem_659 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_119, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_209 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_659, torch.int8), kwargs = {})
  %getitem_660 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_209, 0), kwargs = {})
  %getitem_661 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_209, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_659, %getitem_660, %getitem_661, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_209, %getitem_660, %getitem_661, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_120 : [num_users=1] = get_attr[target=lowered_module_120]
    backend_id: CoreMLBackend
    lowered graph():
      %arg61_1 : [num_users=1] = placeholder[target=arg61_1]
      %_lifted_tensor_constant833 : [num_users=1] = placeholder[target=_lifted_tensor_constant833]
      %quantized_decomposed_dequantize_per_channel_group_default_209 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_209]
      %quantized_decomposed_dequantize_per_token_default_209 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_209]
      %aten_add_tensor_207 : [num_users=1] = placeholder[target=aten_add_tensor_207]
      %aten_permute_copy_default_359 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_209, [1, 0]), kwargs = {})
      %aten_view_copy_default_1018 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_209, [1, 11008]), kwargs = {})
      %aten_mm_default_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1018, %aten_permute_copy_default_359), kwargs = {})
      %aten_view_copy_default_1019 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_209, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_209 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_207, %aten_view_copy_default_1019), kwargs = {})
      %aten_mul_tensor_480 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_209, %aten_add_tensor_209), kwargs = {})
      %aten_mean_dim_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_480, [-1], True), kwargs = {})
      %aten_add_tensor_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_60, %_lifted_tensor_constant833), kwargs = {})
      %aten_rsqrt_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_210,), kwargs = {})
      %aten_mul_tensor_481 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_209, %aten_rsqrt_default_60), kwargs = {})
      %aten_mul_tensor_482 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_481, %arg61_1), kwargs = {})
      return (aten_add_tensor_209, aten_mul_tensor_482)
  %executorch_call_delegate_120 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_120, %quantized_decomposed_dequantize_per_channel_group_default_209, %quantized_decomposed_dequantize_per_token_default_209, %getitem_653), kwargs = {})
  %getitem_662 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_120, 0), kwargs = {})
  %getitem_663 : [num_users=6] = call_function[target=operator.getitem](args = (%executorch_call_delegate_120, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_210 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_663, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_211 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_663, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_212 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_663, torch.int8), kwargs = {})
  %getitem_664 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_210, 0), kwargs = {})
  %getitem_665 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_210, 1), kwargs = {})
  %getitem_666 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_211, 0), kwargs = {})
  %getitem_667 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_211, 1), kwargs = {})
  %getitem_668 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_212, 0), kwargs = {})
  %getitem_669 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_212, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_663, %getitem_664, %getitem_665, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_663, %getitem_666, %getitem_667, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_663, %getitem_668, %getitem_669, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_210, %getitem_664, %getitem_665, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_211, %getitem_666, %getitem_667, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_212, %getitem_668, %getitem_669, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_121 : [num_users=1] = get_attr[target=lowered_module_121]
    backend_id: CoreMLBackend
    lowered graph():
      %arg799_1 : [num_users=1] = placeholder[target=arg799_1]
      %arg798_1 : [num_users=3] = placeholder[target=arg798_1]
      %arg797_1 : [num_users=3] = placeholder[target=arg797_1]
      %quantized_decomposed_dequantize_per_channel_group_default_210 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_210]
      %quantized_decomposed_dequantize_per_channel_group_default_211 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_211]
      %quantized_decomposed_dequantize_per_channel_group_default_212 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_212]
      %aten_index_tensor : [num_users=1] = placeholder[target=aten_index_tensor]
      %aten_index_tensor_1 : [num_users=1] = placeholder[target=aten_index_tensor_1]
      %quantized_decomposed_dequantize_per_token_default_210 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_210]
      %quantized_decomposed_dequantize_per_token_default_211 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_211]
      %quantized_decomposed_dequantize_per_token_default_212 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_212]
      %arg840_1 : [num_users=3] = placeholder[target=arg840_1]
      %aten_scalar_tensor_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.scalar_tensor.default](args = (-inf,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
      %aten_permute_copy_default_360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_210, [1, 0]), kwargs = {})
      %aten_permute_copy_default_361 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_211, [1, 0]), kwargs = {})
      %aten_permute_copy_default_362 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_212, [1, 0]), kwargs = {})
      %aten_view_copy_default_1031 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_1032 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_1020 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_210, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1022 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_211, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1024 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_212, [1, 4096]), kwargs = {})
      %aten_unsqueeze_copy_default_244 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%arg799_1, 0), kwargs = {})
      %aten_mm_default_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1020, %aten_permute_copy_default_360), kwargs = {})
      %aten_mm_default_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1022, %aten_permute_copy_default_361), kwargs = {})
      %aten_mm_default_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1024, %aten_permute_copy_default_362), kwargs = {})
      %aten_unsqueeze_copy_default_245 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_unsqueeze_copy_default_244, 1), kwargs = {})
      %aten_view_copy_default_1021 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_210, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_1023 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_211, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_1025 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_212, [1, 1, 4096]), kwargs = {})
      %aten_index_tensor_32 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%aten_unsqueeze_copy_default_245, [None, None, %arg840_1]), kwargs = {})
      %aten_view_copy_default_1026 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1021, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1027 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1023, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1028 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1025, [1, 1, 32, 128]), kwargs = {})
      %aten_full_like_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.full_like.default](args = (%aten_index_tensor_32, 0), kwargs = {dtype: torch.float32, pin_memory: False, memory_format: torch.preserve_format})
      %aten_logical_not_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.logical_not.default](args = (%aten_index_tensor_32,), kwargs = {})
      %aten_view_copy_default_1029 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1026, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_view_copy_default_1030 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1027, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_permute_copy_default_365 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1028, [0, 2, 1, 3]), kwargs = {})
      %aten_where_self_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.where.self](args = (%aten_logical_not_default_30, %aten_scalar_tensor_default_30, %aten_full_like_default_30), kwargs = {})
      %aten_slice_copy_tensor_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1029, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1029, 4, 1, 2), kwargs = {})
      %aten_slice_copy_tensor_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1030, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1030, 4, 1, 2), kwargs = {})
      %aten_view_copy_default_1036 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_365, [32, 1, 128]), kwargs = {})
      %aten_squeeze_copy_dims_120 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_120, [4]), kwargs = {})
      %aten_squeeze_copy_dims_121 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_121, [4]), kwargs = {})
      %aten_squeeze_copy_dims_122 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_122, [4]), kwargs = {})
      %aten_squeeze_copy_dims_123 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_123, [4]), kwargs = {})
      %aten_index_put_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg798_1, [None, None, %arg840_1], %aten_view_copy_default_1036), kwargs = {})
      %aten_mul_tensor_483 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_120, %aten_view_copy_default_1031), kwargs = {})
      %aten_mul_tensor_485 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_120, %aten_view_copy_default_1032), kwargs = {})
      %aten_mul_tensor_484 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_121, %aten_view_copy_default_1032), kwargs = {})
      %aten_mul_tensor_486 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_121, %aten_view_copy_default_1031), kwargs = {})
      %aten_mul_tensor_487 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_122, %aten_view_copy_default_1031), kwargs = {})
      %aten_mul_tensor_489 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_122, %aten_view_copy_default_1032), kwargs = {})
      %aten_mul_tensor_488 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_123, %aten_view_copy_default_1032), kwargs = {})
      %aten_mul_tensor_490 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_123, %aten_view_copy_default_1031), kwargs = {})
      %aten_slice_scatter_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg798_1, %aten_index_put_default_61, 1, 0, 9223372036854775807), kwargs = {})
      %aten_sub_tensor_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_483, %aten_mul_tensor_484), kwargs = {})
      %aten_add_tensor_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_485, %aten_mul_tensor_486), kwargs = {})
      %aten_sub_tensor_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_487, %aten_mul_tensor_488), kwargs = {})
      %aten_add_tensor_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_489, %aten_mul_tensor_490), kwargs = {})
      %aten_slice_scatter_default_123 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg798_1, %aten_slice_scatter_default_122, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_240 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_60, 4), kwargs = {})
      %aten_unsqueeze_copy_default_241 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_211, 4), kwargs = {})
      %aten_unsqueeze_copy_default_242 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_61, 4), kwargs = {})
      %aten_unsqueeze_copy_default_243 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_212, 4), kwargs = {})
      %aten_unsqueeze_copy_default_247 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_123, 2), kwargs = {})
      %aten_cat_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_240, %aten_unsqueeze_copy_default_241], -1), kwargs = {})
      %aten_cat_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_242, %aten_unsqueeze_copy_default_243], -1), kwargs = {})
      %aten_expand_copy_default_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_247, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_view_copy_default_1033 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_60, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1034 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_61, [1, 1, 32, 128]), kwargs = {})
      %aten_clone_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_181,), kwargs = {memory_format: torch.contiguous_format})
      %aten_permute_copy_default_363 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1033, [0, 2, 1, 3]), kwargs = {})
      %aten_permute_copy_default_364 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1034, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1038 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_61, [1, 32, 128, 128]), kwargs = {})
      %aten_mul_scalar_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_363, 0.29730177875068026), kwargs = {})
      %aten_view_copy_default_1035 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_364, [32, 1, 128]), kwargs = {})
      %aten_expand_copy_default_185 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_view_copy_default_1038, [1, 32, 128, 128]), kwargs = {})
      %aten_expand_copy_default_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_60, [1, 32, 1, 128]), kwargs = {})
      %aten_index_put_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg797_1, [None, None, %arg840_1], %aten_view_copy_default_1035), kwargs = {})
      %aten_view_copy_default_1043 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_185, [32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1039 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_182, [32, 1, 128]), kwargs = {})
      %aten_slice_scatter_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg797_1, %aten_index_put_default_60, 1, 0, 9223372036854775807), kwargs = {})
      %aten_slice_scatter_default_121 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg797_1, %aten_slice_scatter_default_120, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_246 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_121, 2), kwargs = {})
      %aten_expand_copy_default_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_246, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_clone_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_180,), kwargs = {memory_format: torch.contiguous_format})
      %aten_view_copy_default_1037 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_60, [1, 32, 128, 128]), kwargs = {})
      %aten_permute_copy_default_366 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1037, [0, 1, 3, 2]), kwargs = {})
      %aten_mul_scalar_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_366, 0.29730177875068026), kwargs = {})
      %aten_expand_copy_default_183 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_61, [1, 32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1040 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_183, [32, 128, 128]), kwargs = {})
      %aten_bmm_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1039, %aten_view_copy_default_1040), kwargs = {})
      %aten_view_copy_default_1041 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_60, [1, 32, 1, 128]), kwargs = {})
      %aten_add_tensor_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_view_copy_default_1041, %aten_where_self_30), kwargs = {})
      %aten__softmax_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_213, -1, False), kwargs = {})
      %aten_expand_copy_default_184 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten__softmax_default_30, [1, 32, 1, 128]), kwargs = {})
      %aten_view_copy_default_1042 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_184, [32, 1, 128]), kwargs = {})
      %aten_bmm_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1042, %aten_view_copy_default_1043), kwargs = {})
      %aten_view_copy_default_1044 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_61, [1, 32, 1, 128]), kwargs = {})
      %aten_permute_copy_default_367 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1044, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1045 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_367, [1, 1, 4096]), kwargs = {})
      return (aten_slice_scatter_default_123, aten_slice_scatter_default_121, aten_view_copy_default_1045)
  %executorch_call_delegate_121 : [num_users=3] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_121, %arg798_1, %arg797_1, %quantized_decomposed_dequantize_per_channel_group_default_210, %quantized_decomposed_dequantize_per_channel_group_default_211, %quantized_decomposed_dequantize_per_channel_group_default_212, %getitem_8, %getitem_9, %quantized_decomposed_dequantize_per_token_default_210, %quantized_decomposed_dequantize_per_token_default_211, %quantized_decomposed_dequantize_per_token_default_212, %arg840_1), kwargs = {})
  %getitem_670 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_121, 0), kwargs = {})
  %getitem_671 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_121, 1), kwargs = {})
  %getitem_672 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_121, 2), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_213 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_672, torch.int8), kwargs = {})
  %getitem_673 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_213, 0), kwargs = {})
  %getitem_674 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_213, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_672, %getitem_673, %getitem_674, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_213, %getitem_673, %getitem_674, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_122 : [num_users=1] = get_attr[target=lowered_module_122]
    backend_id: CoreMLBackend
    lowered graph():
      %arg62_1 : [num_users=1] = placeholder[target=arg62_1]
      %_lifted_tensor_constant834 : [num_users=1] = placeholder[target=_lifted_tensor_constant834]
      %quantized_decomposed_dequantize_per_channel_group_default_213 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_213]
      %quantized_decomposed_dequantize_per_token_default_213 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_213]
      %aten_add_tensor_209 : [num_users=1] = placeholder[target=aten_add_tensor_209]
      %aten_permute_copy_default_368 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_213, [1, 0]), kwargs = {})
      %aten_view_copy_default_1046 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_213, [1, 4096]), kwargs = {})
      %aten_mm_default_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1046, %aten_permute_copy_default_368), kwargs = {})
      %aten_view_copy_default_1047 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_213, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_214 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_209, %aten_view_copy_default_1047), kwargs = {})
      %aten_mul_tensor_491 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_214, %aten_add_tensor_214), kwargs = {})
      %aten_mean_dim_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_491, [-1], True), kwargs = {})
      %aten_add_tensor_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_61, %_lifted_tensor_constant834), kwargs = {})
      %aten_rsqrt_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_215,), kwargs = {})
      %aten_mul_tensor_492 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_214, %aten_rsqrt_default_61), kwargs = {})
      %aten_mul_tensor_493 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_492, %arg62_1), kwargs = {})
      return (aten_add_tensor_214, aten_mul_tensor_493)
  %executorch_call_delegate_122 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_122, %quantized_decomposed_dequantize_per_channel_group_default_213, %quantized_decomposed_dequantize_per_token_default_213, %getitem_662), kwargs = {})
  %getitem_675 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_122, 0), kwargs = {})
  %getitem_676 : [num_users=4] = call_function[target=operator.getitem](args = (%executorch_call_delegate_122, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_214 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_676, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_215 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_676, torch.int8), kwargs = {})
  %getitem_677 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_214, 0), kwargs = {})
  %getitem_678 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_214, 1), kwargs = {})
  %getitem_679 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_215, 0), kwargs = {})
  %getitem_680 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_215, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_676, %getitem_677, %getitem_678, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_676, %getitem_679, %getitem_680, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_214, %getitem_677, %getitem_678, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_215, %getitem_679, %getitem_680, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_123 : [num_users=1] = get_attr[target=lowered_module_123]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_214 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_214]
      %quantized_decomposed_dequantize_per_channel_group_default_215 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_215]
      %quantized_decomposed_dequantize_per_token_default_214 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_214]
      %quantized_decomposed_dequantize_per_token_default_215 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_215]
      %aten_permute_copy_default_369 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_214, [1, 0]), kwargs = {})
      %aten_permute_copy_default_370 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_215, [1, 0]), kwargs = {})
      %aten_view_copy_default_1048 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_214, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1050 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_215, [1, 4096]), kwargs = {})
      %aten_mm_default_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1048, %aten_permute_copy_default_369), kwargs = {})
      %aten_mm_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1050, %aten_permute_copy_default_370), kwargs = {})
      %aten_view_copy_default_1049 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_214, [1, 1, 11008]), kwargs = {})
      %aten_view_copy_default_1051 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_215, [1, 1, 11008]), kwargs = {})
      %aten_sigmoid_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_1049,), kwargs = {})
      %aten_mul_tensor_494 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_1049, %aten_sigmoid_default_30), kwargs = {})
      %aten_mul_tensor_495 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_494, %aten_view_copy_default_1051), kwargs = {})
      return (aten_mul_tensor_495,)
  %executorch_call_delegate_123 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_123, %quantized_decomposed_dequantize_per_channel_group_default_214, %quantized_decomposed_dequantize_per_channel_group_default_215, %quantized_decomposed_dequantize_per_token_default_214, %quantized_decomposed_dequantize_per_token_default_215), kwargs = {})
  %getitem_681 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_123, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_216 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_681, torch.int8), kwargs = {})
  %getitem_682 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_216, 0), kwargs = {})
  %getitem_683 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_216, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_681, %getitem_682, %getitem_683, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_216, %getitem_682, %getitem_683, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_124 : [num_users=1] = get_attr[target=lowered_module_124]
    backend_id: CoreMLBackend
    lowered graph():
      %arg63_1 : [num_users=1] = placeholder[target=arg63_1]
      %_lifted_tensor_constant835 : [num_users=1] = placeholder[target=_lifted_tensor_constant835]
      %quantized_decomposed_dequantize_per_channel_group_default_216 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_216]
      %quantized_decomposed_dequantize_per_token_default_216 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_216]
      %aten_add_tensor_214 : [num_users=1] = placeholder[target=aten_add_tensor_214]
      %aten_permute_copy_default_371 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_216, [1, 0]), kwargs = {})
      %aten_view_copy_default_1052 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_216, [1, 11008]), kwargs = {})
      %aten_mm_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1052, %aten_permute_copy_default_371), kwargs = {})
      %aten_view_copy_default_1053 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_216, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_216 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_214, %aten_view_copy_default_1053), kwargs = {})
      %aten_mul_tensor_496 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_216, %aten_add_tensor_216), kwargs = {})
      %aten_mean_dim_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_496, [-1], True), kwargs = {})
      %aten_add_tensor_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_62, %_lifted_tensor_constant835), kwargs = {})
      %aten_rsqrt_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_217,), kwargs = {})
      %aten_mul_tensor_497 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_216, %aten_rsqrt_default_62), kwargs = {})
      %aten_mul_tensor_498 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_497, %arg63_1), kwargs = {})
      return (aten_add_tensor_216, aten_mul_tensor_498)
  %executorch_call_delegate_124 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_124, %quantized_decomposed_dequantize_per_channel_group_default_216, %quantized_decomposed_dequantize_per_token_default_216, %getitem_675), kwargs = {})
  %getitem_684 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_124, 0), kwargs = {})
  %getitem_685 : [num_users=6] = call_function[target=operator.getitem](args = (%executorch_call_delegate_124, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_217 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_685, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_218 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_685, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_219 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_685, torch.int8), kwargs = {})
  %getitem_686 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_217, 0), kwargs = {})
  %getitem_687 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_217, 1), kwargs = {})
  %getitem_688 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_218, 0), kwargs = {})
  %getitem_689 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_218, 1), kwargs = {})
  %getitem_690 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_219, 0), kwargs = {})
  %getitem_691 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_219, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_685, %getitem_686, %getitem_687, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_685, %getitem_688, %getitem_689, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_685, %getitem_690, %getitem_691, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_217, %getitem_686, %getitem_687, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_218, %getitem_688, %getitem_689, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_219, %getitem_690, %getitem_691, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_125 : [num_users=1] = get_attr[target=lowered_module_125]
    backend_id: CoreMLBackend
    lowered graph():
      %arg823_1 : [num_users=1] = placeholder[target=arg823_1]
      %arg822_1 : [num_users=3] = placeholder[target=arg822_1]
      %arg821_1 : [num_users=3] = placeholder[target=arg821_1]
      %quantized_decomposed_dequantize_per_channel_group_default_217 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_217]
      %quantized_decomposed_dequantize_per_channel_group_default_218 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_218]
      %quantized_decomposed_dequantize_per_channel_group_default_219 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_219]
      %aten_index_tensor : [num_users=1] = placeholder[target=aten_index_tensor]
      %aten_index_tensor_1 : [num_users=1] = placeholder[target=aten_index_tensor_1]
      %quantized_decomposed_dequantize_per_token_default_217 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_217]
      %quantized_decomposed_dequantize_per_token_default_218 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_218]
      %quantized_decomposed_dequantize_per_token_default_219 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_219]
      %arg840_1 : [num_users=3] = placeholder[target=arg840_1]
      %aten_scalar_tensor_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.scalar_tensor.default](args = (-inf,), kwargs = {dtype: torch.float32, layout: torch.strided, device: cpu})
      %aten_permute_copy_default_372 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_217, [1, 0]), kwargs = {})
      %aten_permute_copy_default_373 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_218, [1, 0]), kwargs = {})
      %aten_permute_copy_default_374 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_219, [1, 0]), kwargs = {})
      %aten_view_copy_default_1065 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_1066 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 64]), kwargs = {})
      %aten_view_copy_default_1054 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_217, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1056 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_218, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1058 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_219, [1, 4096]), kwargs = {})
      %aten_unsqueeze_copy_default_252 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%arg823_1, 0), kwargs = {})
      %aten_mm_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1054, %aten_permute_copy_default_372), kwargs = {})
      %aten_mm_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1056, %aten_permute_copy_default_373), kwargs = {})
      %aten_mm_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1058, %aten_permute_copy_default_374), kwargs = {})
      %aten_unsqueeze_copy_default_253 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_unsqueeze_copy_default_252, 1), kwargs = {})
      %aten_view_copy_default_1055 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_217, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_1057 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_218, [1, 1, 4096]), kwargs = {})
      %aten_view_copy_default_1059 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_219, [1, 1, 4096]), kwargs = {})
      %aten_index_tensor_33 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%aten_unsqueeze_copy_default_253, [None, None, %arg840_1]), kwargs = {})
      %aten_view_copy_default_1060 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1055, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1061 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1057, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1062 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1059, [1, 1, 32, 128]), kwargs = {})
      %aten_full_like_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.full_like.default](args = (%aten_index_tensor_33, 0), kwargs = {dtype: torch.float32, pin_memory: False, memory_format: torch.preserve_format})
      %aten_logical_not_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.logical_not.default](args = (%aten_index_tensor_33,), kwargs = {})
      %aten_view_copy_default_1063 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1060, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_view_copy_default_1064 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1061, [1, 1, 32, -1, 2]), kwargs = {})
      %aten_permute_copy_default_377 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1062, [0, 2, 1, 3]), kwargs = {})
      %aten_where_self_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.where.self](args = (%aten_logical_not_default_31, %aten_scalar_tensor_default_31, %aten_full_like_default_31), kwargs = {})
      %aten_slice_copy_tensor_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1063, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1063, 4, 1, 2), kwargs = {})
      %aten_slice_copy_tensor_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1064, 4, 0, 1), kwargs = {})
      %aten_slice_copy_tensor_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_1064, 4, 1, 2), kwargs = {})
      %aten_view_copy_default_1070 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_377, [32, 1, 128]), kwargs = {})
      %aten_squeeze_copy_dims_124 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_124, [4]), kwargs = {})
      %aten_squeeze_copy_dims_125 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_125, [4]), kwargs = {})
      %aten_squeeze_copy_dims_126 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_126, [4]), kwargs = {})
      %aten_squeeze_copy_dims_127 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_127, [4]), kwargs = {})
      %aten_index_put_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg822_1, [None, None, %arg840_1], %aten_view_copy_default_1070), kwargs = {})
      %aten_mul_tensor_499 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_1065), kwargs = {})
      %aten_mul_tensor_501 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_1066), kwargs = {})
      %aten_mul_tensor_500 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_1066), kwargs = {})
      %aten_mul_tensor_502 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_1065), kwargs = {})
      %aten_mul_tensor_503 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_1065), kwargs = {})
      %aten_mul_tensor_505 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_1066), kwargs = {})
      %aten_mul_tensor_504 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_1066), kwargs = {})
      %aten_mul_tensor_506 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_1065), kwargs = {})
      %aten_slice_scatter_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg822_1, %aten_index_put_default_63, 1, 0, 9223372036854775807), kwargs = {})
      %aten_sub_tensor_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_499, %aten_mul_tensor_500), kwargs = {})
      %aten_add_tensor_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_501, %aten_mul_tensor_502), kwargs = {})
      %aten_sub_tensor_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_503, %aten_mul_tensor_504), kwargs = {})
      %aten_add_tensor_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_505, %aten_mul_tensor_506), kwargs = {})
      %aten_slice_scatter_default_127 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg822_1, %aten_slice_scatter_default_126, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_248 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_62, 4), kwargs = {})
      %aten_unsqueeze_copy_default_249 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_218, 4), kwargs = {})
      %aten_unsqueeze_copy_default_250 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_63, 4), kwargs = {})
      %aten_unsqueeze_copy_default_251 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_219, 4), kwargs = {})
      %aten_unsqueeze_copy_default_255 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_127, 2), kwargs = {})
      %aten_cat_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_248, %aten_unsqueeze_copy_default_249], -1), kwargs = {})
      %aten_cat_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_250, %aten_unsqueeze_copy_default_251], -1), kwargs = {})
      %aten_expand_copy_default_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_255, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_view_copy_default_1067 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_62, [1, 1, 32, 128]), kwargs = {})
      %aten_view_copy_default_1068 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_63, [1, 1, 32, 128]), kwargs = {})
      %aten_clone_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_187,), kwargs = {memory_format: torch.contiguous_format})
      %aten_permute_copy_default_375 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1067, [0, 2, 1, 3]), kwargs = {})
      %aten_permute_copy_default_376 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1068, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1072 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_63, [1, 32, 128, 128]), kwargs = {})
      %aten_mul_scalar_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_375, 0.29730177875068026), kwargs = {})
      %aten_view_copy_default_1069 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_376, [32, 1, 128]), kwargs = {})
      %aten_expand_copy_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_view_copy_default_1072, [1, 32, 128, 128]), kwargs = {})
      %aten_expand_copy_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_62, [1, 32, 1, 128]), kwargs = {})
      %aten_index_put_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%arg821_1, [None, None, %arg840_1], %aten_view_copy_default_1069), kwargs = {})
      %aten_view_copy_default_1077 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_191, [32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1073 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_188, [32, 1, 128]), kwargs = {})
      %aten_slice_scatter_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg821_1, %aten_index_put_default_62, 1, 0, 9223372036854775807), kwargs = {})
      %aten_slice_scatter_default_125 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_scatter.default](args = (%arg821_1, %aten_slice_scatter_default_124, 0, 0, 9223372036854775807), kwargs = {})
      %aten_unsqueeze_copy_default_254 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_slice_scatter_default_125, 2), kwargs = {})
      %aten_expand_copy_default_186 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_unsqueeze_copy_default_254, [1, 32, 1, 128, 128]), kwargs = {})
      %aten_clone_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.clone.default](args = (%aten_expand_copy_default_186,), kwargs = {memory_format: torch.contiguous_format})
      %aten_view_copy_default_1071 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_clone_default_62, [1, 32, 128, 128]), kwargs = {})
      %aten_permute_copy_default_378 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1071, [0, 1, 3, 2]), kwargs = {})
      %aten_mul_scalar_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Scalar](args = (%aten_permute_copy_default_378, 0.29730177875068026), kwargs = {})
      %aten_expand_copy_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten_mul_scalar_63, [1, 32, 128, 128]), kwargs = {})
      %aten_view_copy_default_1074 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_189, [32, 128, 128]), kwargs = {})
      %aten_bmm_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1073, %aten_view_copy_default_1074), kwargs = {})
      %aten_view_copy_default_1075 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_62, [1, 32, 1, 128]), kwargs = {})
      %aten_add_tensor_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_view_copy_default_1075, %aten_where_self_31), kwargs = {})
      %aten__softmax_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_220, -1, False), kwargs = {})
      %aten_expand_copy_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.expand_copy.default](args = (%aten__softmax_default_31, [1, 32, 1, 128]), kwargs = {})
      %aten_view_copy_default_1076 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_expand_copy_default_190, [32, 1, 128]), kwargs = {})
      %aten_bmm_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.bmm.default](args = (%aten_view_copy_default_1076, %aten_view_copy_default_1077), kwargs = {})
      %aten_view_copy_default_1078 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_bmm_default_63, [1, 32, 1, 128]), kwargs = {})
      %aten_permute_copy_default_379 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_1078, [0, 2, 1, 3]), kwargs = {})
      %aten_view_copy_default_1079 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_379, [1, 1, 4096]), kwargs = {})
      return (aten_slice_scatter_default_127, aten_slice_scatter_default_125, aten_view_copy_default_1079)
  %executorch_call_delegate_125 : [num_users=3] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_125, %arg822_1, %arg821_1, %quantized_decomposed_dequantize_per_channel_group_default_217, %quantized_decomposed_dequantize_per_channel_group_default_218, %quantized_decomposed_dequantize_per_channel_group_default_219, %getitem_8, %getitem_9, %quantized_decomposed_dequantize_per_token_default_217, %quantized_decomposed_dequantize_per_token_default_218, %quantized_decomposed_dequantize_per_token_default_219, %arg840_1), kwargs = {})
  %getitem_692 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_125, 0), kwargs = {})
  %getitem_693 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_125, 1), kwargs = {})
  %getitem_694 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_125, 2), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_220 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_694, torch.int8), kwargs = {})
  %getitem_695 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_220, 0), kwargs = {})
  %getitem_696 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_220, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_694, %getitem_695, %getitem_696, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_220, %getitem_695, %getitem_696, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_126 : [num_users=1] = get_attr[target=lowered_module_126]
    backend_id: CoreMLBackend
    lowered graph():
      %arg64_1 : [num_users=1] = placeholder[target=arg64_1]
      %_lifted_tensor_constant836 : [num_users=1] = placeholder[target=_lifted_tensor_constant836]
      %quantized_decomposed_dequantize_per_channel_group_default_220 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_220]
      %quantized_decomposed_dequantize_per_token_default_220 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_220]
      %aten_add_tensor_216 : [num_users=1] = placeholder[target=aten_add_tensor_216]
      %aten_permute_copy_default_380 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_220, [1, 0]), kwargs = {})
      %aten_view_copy_default_1080 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_220, [1, 4096]), kwargs = {})
      %aten_mm_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1080, %aten_permute_copy_default_380), kwargs = {})
      %aten_view_copy_default_1081 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_220, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_221 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_216, %aten_view_copy_default_1081), kwargs = {})
      %aten_mul_tensor_507 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_221, %aten_add_tensor_221), kwargs = {})
      %aten_mean_dim_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_507, [-1], True), kwargs = {})
      %aten_add_tensor_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_63, %_lifted_tensor_constant836), kwargs = {})
      %aten_rsqrt_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_222,), kwargs = {})
      %aten_mul_tensor_508 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_221, %aten_rsqrt_default_63), kwargs = {})
      %aten_mul_tensor_509 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_508, %arg64_1), kwargs = {})
      return (aten_add_tensor_221, aten_mul_tensor_509)
  %executorch_call_delegate_126 : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_126, %quantized_decomposed_dequantize_per_channel_group_default_220, %quantized_decomposed_dequantize_per_token_default_220, %getitem_684), kwargs = {})
  %getitem_697 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_126, 0), kwargs = {})
  %getitem_698 : [num_users=4] = call_function[target=operator.getitem](args = (%executorch_call_delegate_126, 1), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_221 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_698, torch.int8), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_222 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_698, torch.int8), kwargs = {})
  %getitem_699 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_221, 0), kwargs = {})
  %getitem_700 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_221, 1), kwargs = {})
  %getitem_701 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_222, 0), kwargs = {})
  %getitem_702 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_222, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_698, %getitem_699, %getitem_700, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_698, %getitem_701, %getitem_702, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_221, %getitem_699, %getitem_700, -128, 127, torch.int8, torch.float32), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_222, %getitem_701, %getitem_702, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_127 : [num_users=1] = get_attr[target=lowered_module_127]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_221 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_221]
      %quantized_decomposed_dequantize_per_channel_group_default_222 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_222]
      %quantized_decomposed_dequantize_per_token_default_221 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_221]
      %quantized_decomposed_dequantize_per_token_default_222 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_222]
      %aten_permute_copy_default_381 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_221, [1, 0]), kwargs = {})
      %aten_permute_copy_default_382 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_222, [1, 0]), kwargs = {})
      %aten_view_copy_default_1082 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_221, [1, 4096]), kwargs = {})
      %aten_view_copy_default_1084 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_222, [1, 4096]), kwargs = {})
      %aten_mm_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1082, %aten_permute_copy_default_381), kwargs = {})
      %aten_mm_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1084, %aten_permute_copy_default_382), kwargs = {})
      %aten_view_copy_default_1083 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_221, [1, 1, 11008]), kwargs = {})
      %aten_view_copy_default_1085 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_222, [1, 1, 11008]), kwargs = {})
      %aten_sigmoid_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_1083,), kwargs = {})
      %aten_mul_tensor_510 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_1083, %aten_sigmoid_default_31), kwargs = {})
      %aten_mul_tensor_511 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_510, %aten_view_copy_default_1085), kwargs = {})
      return (aten_mul_tensor_511,)
  %executorch_call_delegate_127 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_127, %quantized_decomposed_dequantize_per_channel_group_default_221, %quantized_decomposed_dequantize_per_channel_group_default_222, %quantized_decomposed_dequantize_per_token_default_221, %quantized_decomposed_dequantize_per_token_default_222), kwargs = {})
  %getitem_703 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_127, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_223 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_703, torch.int8), kwargs = {})
  %getitem_704 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_223, 0), kwargs = {})
  %getitem_705 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_223, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_703, %getitem_704, %getitem_705, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_223, %getitem_704, %getitem_705, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_128 : [num_users=1] = get_attr[target=lowered_module_128]
    backend_id: CoreMLBackend
    lowered graph():
      %arg65_1 : [num_users=1] = placeholder[target=arg65_1]
      %_lifted_tensor_constant837 : [num_users=1] = placeholder[target=_lifted_tensor_constant837]
      %quantized_decomposed_dequantize_per_channel_group_default_223 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_223]
      %quantized_decomposed_dequantize_per_token_default_223 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_223]
      %aten_add_tensor_221 : [num_users=1] = placeholder[target=aten_add_tensor_221]
      %aten_permute_copy_default_383 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_223, [1, 0]), kwargs = {})
      %aten_view_copy_default_1086 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_223, [1, 11008]), kwargs = {})
      %aten_mm_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1086, %aten_permute_copy_default_383), kwargs = {})
      %aten_view_copy_default_1087 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_223, [1, 1, 4096]), kwargs = {})
      %aten_add_tensor_223 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_221, %aten_view_copy_default_1087), kwargs = {})
      %aten_mul_tensor_512 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_223, %aten_add_tensor_223), kwargs = {})
      %aten_mean_dim_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_512, [-1], True), kwargs = {})
      %aten_add_tensor_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_64, %_lifted_tensor_constant837), kwargs = {})
      %aten_rsqrt_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_224,), kwargs = {})
      %aten_mul_tensor_513 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_223, %aten_rsqrt_default_64), kwargs = {})
      %aten_mul_tensor_514 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_513, %arg65_1), kwargs = {})
      return (aten_mul_tensor_514,)
  %executorch_call_delegate_128 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_128, %quantized_decomposed_dequantize_per_channel_group_default_223, %quantized_decomposed_dequantize_per_token_default_223, %getitem_697), kwargs = {})
  %getitem_706 : [num_users=2] = call_function[target=operator.getitem](args = (%executorch_call_delegate_128, 0), kwargs = {})
  %quantized_decomposed_choose_qparams_per_token_asymmetric_default_224 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%getitem_706, torch.int8), kwargs = {})
  %getitem_707 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_224, 0), kwargs = {})
  %getitem_708 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_224, 1), kwargs = {})
  %quantized_decomposed_quantize_per_token_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%getitem_706, %getitem_707, %getitem_708, -128, 127, torch.int8), kwargs = {})
  %quantized_decomposed_dequantize_per_token_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_224, %getitem_707, %getitem_708, -128, 127, torch.int8, torch.float32), kwargs = {})
  %lowered_module_129 : [num_users=1] = get_attr[target=lowered_module_129]
    backend_id: CoreMLBackend
    lowered graph():
      %quantized_decomposed_dequantize_per_channel_group_default_224 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_channel_group_default_224]
      %quantized_decomposed_dequantize_per_token_default_224 : [num_users=1] = placeholder[target=quantized_decomposed_dequantize_per_token_default_224]
      %aten_permute_copy_default_384 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_224, [1, 0]), kwargs = {})
      %aten_view_copy_default_1088 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_224, [1, 4096]), kwargs = {})
      %aten_mm_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_1088, %aten_permute_copy_default_384), kwargs = {})
      %aten_view_copy_default_1089 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_224, [1, 1, 32000]), kwargs = {})
      return (aten_view_copy_default_1089,)
  %executorch_call_delegate_129 : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_129, %quantized_decomposed_dequantize_per_channel_group_default_224, %quantized_decomposed_dequantize_per_token_default_224), kwargs = {})
  %getitem_709 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate_129, 0), kwargs = {})
  return (getitem_11, getitem_10, getitem_33, getitem_32, getitem_55, getitem_54, getitem_77, getitem_76, getitem_99, getitem_98, getitem_121, getitem_120, getitem_143, getitem_142, getitem_165, getitem_164, getitem_187, getitem_186, getitem_209, getitem_208, getitem_231, getitem_230, getitem_253, getitem_252, getitem_275, getitem_274, getitem_297, getitem_296, getitem_319, getitem_318, getitem_341, getitem_340, getitem_363, getitem_362, getitem_385, getitem_384, getitem_407, getitem_406, getitem_429, getitem_428, getitem_451, getitem_450, getitem_473, getitem_472, getitem_495, getitem_494, getitem_517, getitem_516, getitem_539, getitem_538, getitem_561, getitem_560, getitem_583, getitem_582, getitem_605, getitem_604, getitem_627, getitem_626, getitem_649, getitem_648, getitem_671, getitem_670, getitem_693, getitem_692, getitem_709)

INFO:root:Applied partitioners: <executorch.backends.apple.coreml.partition.coreml_partitioner.CoreMLPartitioner object at 0x3b30bbf10>
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_channel_group.default>: schema = quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_channel_group can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_channel_group(Tensor input, Tensor scales, Tensor? zero_points, int quant_min, int quant_max, ScalarType dtype, int group_size, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.choose_qparams_per_token_asymmetric.default>: schema = quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::choose_qparams_per_token_asymmetric can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::choose_qparams_per_token_asymmetric(Tensor input, ScalarType dtype) -> (Tensor, Tensor)']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.quantize_per_token.default>: schema = quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::quantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::quantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype) -> Tensor']'
INFO:root:Failed converting '<EdgeOpOverload: quantized_decomposed.dequantize_per_token.default>: schema = quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor' to its out variant with error: 'SchemaKind.out variant of operator quantized_decomposed::dequantize_per_token can't be found. We've found the schemas of all the overloads: ['quantized_decomposed::dequantize_per_token(Tensor input, Tensor scales, Tensor zero_points, int quant_min, int quant_max, ScalarType dtype, ScalarType output_dtype) -> Tensor']'
Traceback (most recent call last):
  File "/opt/anaconda3/envs/executorch/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/opt/anaconda3/envs/executorch/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/Users/anthonymikinka/executorch/examples/models/llama2/export_llama.py", line 30, in <module>
    main()  # pragma: no cover
  File "/Users/anthonymikinka/executorch/examples/models/llama2/export_llama.py", line 26, in main
    export_llama(modelname, args)
  File "/Users/anthonymikinka/executorch/examples/models/llama2/export_llama_lib.py", line 545, in export_llama
    return _export_llama(modelname, args)
  File "/Users/anthonymikinka/executorch/examples/models/llama2/export_llama_lib.py", line 869, in _export_llama
    builder = builder_exported_to_edge.to_backend(partitioners).to_executorch()
  File "/Users/anthonymikinka/executorch/examples/models/llama2/builder.py", line 319, in to_executorch
    self.export_program = self.edge_manager.to_executorch(
  File "/opt/anaconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/program/_program.py", line 842, in to_executorch
    new_gm_res = p(new_gm)
  File "/opt/anaconda3/envs/executorch/lib/python3.10/site-packages/torch/fx/passes/infra/pass_base.py", line 40, in __call__
    res = self.call(graph_module)
  File "/opt/anaconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/passes/__init__.py", line 422, in call
    raise RuntimeError(f"Missing out variants: {missing_out_vars}")
RuntimeError: Missing out variants: {'quantized_decomposed::dequantize_per_token', 'quantized_decomposed::dequantize_per_channel_group', 'quantized_decomposed::choose_qparams_per_token_asymmetric', 'quantized_decomposed::quantize_per_token'}

 ~/executorch  #v0.2.0-rc5 !5 ?57     1 ✘  8m 46s  executorch   04:23:43 AM 