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10fc58620e
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/60384 Currently inlining module graph will drop module hierarchy info on Python side. Here we retrieve the module hierarchy from cpp side and expose it to a new Python API on Node called `moduleHierarchy()`. Test Plan: Usage: ``` torch._C._jit_pass_inline(module.graph) torch._C._jit_pass_propagate_shapes_on_graph(module.graph) node = module.graph.findNode("quantized::conv2d_relu") 'top(' + module.original_name + ').' + node.moduleHierarchy() + '.' + node.kind() ``` Output: ``` 'top(QuantWrapper).module(FBNetHR).0(Sequential).xif0_0(ConvBNRelu).conv(ConvReLU2d).quantized::conv2d_relu' ``` Reviewed By: kimishpatel Differential Revision: D29252169 fbshipit-source-id: 74163a87f919e061e5e75dfebc4c5cdbe8489d93
56 lines
1.8 KiB
C++
56 lines
1.8 KiB
C++
#pragma once
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#include <torch/csrc/jit/ir/ir.h>
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#include <torch/csrc/utils/object_ptr.h>
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namespace torch {
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namespace jit {
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constexpr size_t kModuleInstanceInfo = 2;
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void initPythonIRBindings(PyObject* module);
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// execute a Python function, used for Ops we can't optimize but that we want to
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// optimize around
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struct ConcretePythonOp : public PythonOp {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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static Symbol Kind;
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ConcretePythonOp(Graph* graph) : PythonOp(graph, ::c10::prim::PythonOp) {}
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ConcretePythonOp* init(
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THPObjectPtr&& pyobj,
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const std::string& cconv,
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pyobj_list&& scalar_args) {
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this->pyobj = std::move(pyobj);
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this->scalar_args = std::move(scalar_args);
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this->cconv = cconv;
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return this;
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}
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// The Python object which contains the implementation of this function.
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// This is either a class (non-legacy) or an object (legacy). See
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// TraceInterpreterState for execution semantics.
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THPObjectPtr pyobj;
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// The calling convention for the Python function.
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// 'c' -- constant argument
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// 'd' -- dynamic argument
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std::string cconv;
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// Scalar arguments to the Python function. Not necessarily passed to
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// the function in this order; see cconv for the correct order.
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std::vector<THPObjectPtr> scalar_args;
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std::string name() const override;
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void cloneFrom(Node* other_) override;
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Node* allocNewInstance(Graph* g) override {
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return new ConcretePythonOp(g);
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}
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// recover the autograd.Function instance, if this PythonOp's function
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// was originally SomeFunction.apply
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// used in ONNX for discovering symbolics
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c10::optional<THPObjectPtr> autogradFunction() const override;
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void writeScalars(std::ostream& out) const override;
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void lint_python() const override;
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};
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} // namespace jit
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} // namespace torch
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