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August 16, 2024 19:45
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| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] failed while attempting to run meta for aten.group_norm.default | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] Traceback (most recent call last): | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1971, in _dispatch_impl | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] r = func(*args, **kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] return self._op(*args, **kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 134, in _register_cia_to_meta | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] return kernel._op_dk( | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 3154, in native_group_norm | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] out, mean, rstd = _normalize(input_reshaped, reduction_dims, eps) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 3112, in _normalize | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] biased_var, mean = torch.var_mean( | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_decomp/__init__.py", line 88, in _fn | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] return f(*args, **kwargs, out=None if is_none else out_kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 269, in _fn | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] result = fn(*args, **kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 2545, in var_mean | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] m = mean(a, dim, keepdim) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 2497, in mean | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] result = true_divide(result, nelem) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 269, in _fn | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] result = fn(*args, **kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 141, in _fn | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] result = fn(**bound.arguments) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 1050, in _ref | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] output = prim(a, b) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 1753, in true_divide | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] return prims.div(a, b) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] return self._op(*args, **kwargs) | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 130, in _register_cia_to_meta | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] assert torch._C._dispatch_has_kernel_for_dispatch_key( | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| E0816 19:43:22.023000 57436 torch/_subclasses/fake_tensor.py:1975] AssertionError | |
| [torch.onnx] Translate the graph into ONNX... ❌ | |
| Traceback (most recent call last): | |
| File "/home/justinchu/dev/torch-onnx/src/torch_onnx/_core.py", line 1077, in export | |
| decomposed_program = _prepare_exported_program_for_export( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/dev/torch-onnx/src/torch_onnx/_core.py", line 714, in _prepare_exported_program_for_export | |
| exported_program = _fx_passes.decompose_with_registry(exported_program, registry) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/dev/torch-onnx/src/torch_onnx/_fx_passes.py", line 45, in decompose_with_registry | |
| return exported_program.run_decompositions( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 96, in wrapper | |
| return fn(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 1023, in run_decompositions | |
| return _decompose_exported_program( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 640, in _decompose_exported_program | |
| gm, new_graph_signature = _decompose_and_get_gm_with_new_signature_constants( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 487, in _decompose_and_get_gm_with_new_signature_constants | |
| gm, graph_signature = aot_export_module( | |
| ^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in aot_export_module | |
| fx_g, metadata, in_spec, out_spec = _aot_export_function( | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1475, in _aot_export_function | |
| fx_g, meta = create_aot_dispatcher_function( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 521, in create_aot_dispatcher_function | |
| return _create_aot_dispatcher_function( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 622, in _create_aot_dispatcher_function | |
| fw_metadata = run_functionalized_fw_and_collect_metadata( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/collect_metadata_analysis.py", line 168, in inner | |
| flat_f_outs = f(*flat_f_args) | |
| ^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 179, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/traced_function_transforms.py", line 805, in functional_call | |
| out = PropagateUnbackedSymInts(mod).run( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/fx/interpreter.py", line 147, in run | |
| self.env[node] = self.run_node(node) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/fx/experimental/symbolic_shapes.py", line 5592, in run_node | |
| result = super().run_node(n) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/fx/interpreter.py", line 204, in run_node | |
| return getattr(self, n.op)(n.target, args, kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/fx/interpreter.py", line 276, in call_function | |
| return target(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| return self._op(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_higher_order_ops/utils.py", line 64, in inner | |
| return autograd_not_implemented_inner(op, deferred_error, *args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_higher_order_ops/utils.py", line 37, in autograd_not_implemented_inner | |
| result = operator(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| return self._op(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/functional_tensor.py", line 480, in __torch_dispatch__ | |
| outs_unwrapped = func._op_dk( | |
| ^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/utils/_stats.py", line 21, in wrapper | |
| return fn(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1201, in __torch_dispatch__ | |
| return self.dispatch(func, types, args, kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1653, in dispatch | |
| return self._cached_dispatch_impl(func, types, args, kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1300, in _cached_dispatch_impl | |
| output = self._dispatch_impl(func, types, args, kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1971, in _dispatch_impl | |
| r = func(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| return self._op(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 134, in _register_cia_to_meta | |
| return kernel._op_dk( | |
| ^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 3154, in native_group_norm | |
| out, mean, rstd = _normalize(input_reshaped, reduction_dims, eps) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 3112, in _normalize | |
| biased_var, mean = torch.var_mean( | |
| ^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_decomp/__init__.py", line 88, in _fn | |
| return f(*args, **kwargs, out=None if is_none else out_kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 269, in _fn | |
| result = fn(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 2545, in var_mean | |
| m = mean(a, dim, keepdim) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 2497, in mean | |
| result = true_divide(result, nelem) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 269, in _fn | |
| result = fn(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_prims_common/wrappers.py", line 141, in _fn | |
| result = fn(**bound.arguments) | |
| ^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 1050, in _ref | |
| output = prim(a, b) | |
| ^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_refs/__init__.py", line 1753, in true_divide | |
| return prims.div(a, b) | |
| ^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/_ops.py", line 713, in __call__ | |
| return self._op(*args, **kwargs) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/torch/export/exported_program.py", line 130, in _register_cia_to_meta | |
| assert torch._C._dispatch_has_kernel_for_dispatch_key( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| AssertionError: While executing %group_norm : [num_users=1] = call_function[target=torch.ops.aten.group_norm.default](args = (%conv3d, 8, %p_getattr_l__self___down_layers_0___1___norm1_weight, %p_getattr_l__self___down_layers_0___1___norm1_bias), kwargs = {}) | |
| Original traceback: | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/nets/segresnet.py", line 180, in forward | |
| x, down_x = self.encode(x) | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/nets/segresnet.py", line 164, in encode | |
| x = down(x) | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/blocks/segresnet_block.py", line 86, in forward | |
| x = self.norm1(x) | |
| The above exception was the direct cause of the following exception: | |
| Traceback (most recent call last): | |
| File "/home/justinchu/dev/torch-onnx/tests/models/upsample.py", line 26, in <module> | |
| main() | |
| File "/home/justinchu/dev/torch-onnx/tests/models/upsample.py", line 21, in main | |
| program = torch.onnx.export(model, (data,)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/justinchu/dev/torch-onnx/src/torch_onnx/_patch.py", line 167, in _torch_onnx_export | |
| onnx_program = _core.export( | |
| ^^^^^^^^^^^^^ | |
| File "/home/justinchu/dev/torch-onnx/src/torch_onnx/_core.py", line 1105, in export | |
| raise errors.OnnxConversionError( | |
| torch_onnx.errors.OnnxConversionError: Failed to convert the exported program to an ONNX model. This is step 2/2 of exporting the model to ONNX. Next steps: | |
| - If there is a missing ONNX function, implement it and register it to the registry. | |
| - If there is an internal error during ONNX conversion, debug the error and summit a PR to PyTorch. | |
| - Save the ExportedProgram as a pt2 file and create an error report with `export(..., report=True)`. Create an issue in the PyTorch GitHub repository against the *onnx* component. Attach the pt2 model and the error report. | |
| Error report has been saved to 'onnx_export_2024-08-16_19-43-19-065144_conversion.md'. | |
| ## Exception summary | |
| <class 'AssertionError'>: While executing %group_norm : [num_users=1] = call_function[target=torch.ops.aten.group_norm.default](args = (%conv3d, 8, %p_getattr_l__self___down_layers_0___1___norm1_weight, %p_getattr_l__self___down_layers_0___1___norm1_bias), kwargs = {}) | |
| Original traceback: | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/nets/segresnet.py", line 180, in forward | |
| x, down_x = self.encode(x) | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/nets/segresnet.py", line 164, in encode | |
| x = down(x) | |
| File "/home/justinchu/anaconda3/envs/onnx/lib/python3.11/site-packages/monai/networks/blocks/segresnet_block.py", line 86, in forward | |
| x = self.norm1(x) |
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