Created
June 29, 2023 09:32
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Exported graph: graph(%d1 : Int(requires_grad=0, device=cpu), | |
%d2 : Int(requires_grad=0, device=cpu), | |
%d3 : Int(requires_grad=0, device=cpu)): | |
%/Cast_output_0 : Long(requires_grad=0, device=cpu) = onnx::Cast[to=7, onnx_name="/Cast"](%d1), scope: __main__.DummyModel:: | |
%/Cast_1_output_0 : Long(requires_grad=0, device=cpu) = onnx::Cast[to=7, onnx_name="/Cast_1"](%d2), scope: __main__.DummyModel:: | |
%/Cast_2_output_0 : Long(requires_grad=0, device=cpu) = onnx::Cast[to=7, onnx_name="/Cast_2"](%d3), scope: __main__.DummyModel:: | |
%onnx::Unsqueeze_6 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}]() | |
%/Unsqueeze_output_0 : Long(1, strides=[1], device=cpu) = onnx::Unsqueeze[onnx_name="/Unsqueeze"](%/Cast_output_0, %onnx::Unsqueeze_6), scope: __main__.DummyModel:: | |
%onnx::Unsqueeze_8 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}]() | |
%/Unsqueeze_1_output_0 : Long(1, strides=[1], device=cpu) = onnx::Unsqueeze[onnx_name="/Unsqueeze_1"](%/Cast_1_output_0, %onnx::Unsqueeze_8), scope: __main__.DummyModel:: | |
%onnx::Unsqueeze_10 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}]() | |
%/Unsqueeze_2_output_0 : Long(1, strides=[1], device=cpu) = onnx::Unsqueeze[onnx_name="/Unsqueeze_2"](%/Cast_2_output_0, %onnx::Unsqueeze_10), scope: __main__.DummyModel:: | |
%/Concat_output_0 : Long(3, strides=[1], device=cpu) = onnx::Concat[axis=0, onnx_name="/Concat"](%/Unsqueeze_output_0, %/Unsqueeze_1_output_0, %/Unsqueeze_2_output_0), scope: __main__.DummyModel:: # /home/nbeneitez/Documentos/work/repos/returnn_pytorch/testtorchonnx.py:25:0 | |
%casted_data : Float(*, *, *, strides=[4, 2, 1], requires_grad=0, device=cpu) = onnx::ConstantOfShape[value={2}, onnx_name="/ConstantOfShape"](%/Concat_output_0), scope: __main__.DummyModel:: # /home/nbeneitez/Documentos/work/repos/returnn_pytorch/testtorchonnx.py:25:0 | |
return (%casted_data) |
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