pytorch

cd7e6d4a - [ONNX] New symbolic function registry (#84382)

[ONNX] New symbolic function registry (#84382) ## Summary The change brings the new registry for symbolic functions in ONNX. The `SymbolicRegistry` class in `torch.onnx._internal.registration` replaces the dictionary and various functions defined in `torch.onnx.symbolic_registry`. The new registry - Has faster lookup by storing only functions in the opset version they are defined in - Is easier to manage and interact with due to its class design - Builds the foundation for the more flexible registration process detailed in #83787 Implementation changes - **Breaking**: Remove `torch.onnx.symbolic_registry` - `register_custom_op_symbolic` and `unregister_custom_op_symbolic` in utils maintain their api for compatibility - Update _onnx_supported_ops.py for doc generation to include quantized ops. - Update code to register python ops in `torch/csrc/jit/passes/onnx.cpp` ## Profiling results -0.1 seconds in execution time. -34% time spent in `_run_symbolic_function`. Tested on the alexnet example in public doc. ### After ``` └─ 1.641 export <@beartype(torch.onnx.utils.export) at 0x7f19be17f790>:1 └─ 1.641 export torch/onnx/utils.py:185 └─ 1.640 _export torch/onnx/utils.py:1331 ├─ 0.889 _model_to_graph torch/onnx/utils.py:1005 │ ├─ 0.478 _optimize_graph torch/onnx/utils.py:535 │ │ ├─ 0.214 PyCapsule._jit_pass_onnx_graph_shape_type_inference <built-in>:0 │ │ │ [2 frames hidden] <built-in> │ │ ├─ 0.190 _run_symbolic_function torch/onnx/utils.py:1670 │ │ │ └─ 0.145 Constant torch/onnx/symbolic_opset9.py:5782 │ │ │ └─ 0.139 _graph_op torch/onnx/_patch_torch.py:18 │ │ │ └─ 0.134 PyCapsule._jit_pass_onnx_node_shape_type_inference <built-in>:0 │ │ │ [2 frames hidden] <built-in> │ │ └─ 0.033 [self] ``` ### Before  ### Start up time The startup process takes 0.03 seconds. Calls to `inspect` will be eliminated when we switch to using decorators for registration in #84448  Pull Request resolved: https://github.com/pytorch/pytorch/pull/84382 Approved by: https://github.com/AllenTiTaiWang, https://github.com/BowenBao