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December 21, 2023 00:34
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| ===== Compiled autograd graph ===== | |
| <eval_with_key>.53 class CompiledAutograd(torch.nn.Module): | |
| def forward(self, inputs, sizes, hooks): | |
| # No stacktrace found for following nodes | |
| getitem: "f32[]" = inputs[0] | |
| getitem_1: "f32[s0]" = inputs[1]; inputs = None | |
| getitem_2: "Sym(s1)" = sizes[0] | |
| getitem_3: "Sym(s1)" = sizes[1] | |
| getitem_4: "Sym(s3)" = sizes[2] | |
| getitem_5: "Sym(s4)" = sizes[3] | |
| getitem_6: "Sym(s4)" = sizes[4]; sizes = None | |
| expand: "f32[s1]" = torch.ops.aten.expand.default(getitem, [getitem_2]); getitem = getitem_2 = None | |
| getitem_7 = hooks[0]; hooks = None | |
| call_backward = torch__dynamo_external_utils_call_backward(getitem_7, (getitem_1, getitem_1), expand); getitem_7 = expand = None | |
| getitem_8: "f32[s4]" = call_backward[0]; call_backward = None | |
| accumulate_grad_ = torch.ops.inductor.accumulate_grad_.default(getitem_1, getitem_8); getitem_1 = getitem_8 = None | |
| return [] | |
| ... | |
| # Dynamo graph | |
| ===== __compiled_fn_3 ===== | |
| <eval_with_key>.54 class GraphModule(torch.nn.Module): | |
| def forward(self, L_inputs_0_ : torch.Tensor, s0 : torch.SymInt, L_inputs_1_ : torch.Tensor, L_sizes_0_ : torch.SymInt): | |
| getitem = L_inputs_0_ | |
| x2 = L_inputs_1_ | |
| l_sizes_0_ = L_sizes_0_ | |
| # File: <eval_with_key>.53:12, code: expand = torch.ops.aten.expand.default(getitem, [getitem_2]); getitem = getitem_2 = None | |
| expand = torch.ops.aten.expand.default(getitem, [l_sizes_0_]); getitem = l_sizes_0_ = None | |
| # File: /data/users/xmfan/core/pytorch/test/inductor/test_compiled_autograd.py:435, code: return gO * torch.cos(x1) * torch.cos(x2) | |
| cos = torch.cos(x2) | |
| mul = expand * cos; expand = cos = None | |
| cos_1 = torch.cos(x2) | |
| getitem_8 = mul * cos_1; mul = cos_1 = None | |
| # File: <eval_with_key>.53:16, code: accumulate_grad_ = torch.ops.inductor.accumulate_grad_.default(getitem_1, getitem_8); getitem_1 = getitem_8 = None | |
| accumulate_grad__default = torch.ops.inductor.accumulate_grad_.default(x2, getitem_8); x2 = getitem_8 = None | |
| return () |
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