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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54462 Unclean files during sync - Sat Mar 20 04:00:02 PDT 2021 Unclean files during sync - Sun Mar 21 04:00:01 PDT 2021 ghstack-source-id: 124585992 Test Plan: ``` buck run xplat/caffe2/fb/test/delegate:interpreter_test -- --model_file_path=/path/to/mobile_model.ptl ``` Reviewed By: raziel Differential Revision: D27232309 fbshipit-source-id: 8504a3185339d73bfa6e924485c4745acf269cec
60 lines
1.9 KiB
C++
60 lines
1.9 KiB
C++
#include <torch/csrc/jit/backends/backend.h>
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#include <torch/csrc/jit/backends/backend_preprocess.h>
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namespace torch {
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namespace jit {
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namespace {
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// For this backend, the actual compilation happens in preprocess function AOT.
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// Put here for demonstration of backend
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// as a whole piece. It's used when compilation is required. A dummy function
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// can be passed when there's no usage of compilation in runtime backend lib.
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c10::IValue preprocess(
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const Module& mod,
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const c10::Dict<IValue, IValue>& method_compile_spec) {
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// The output of this process would produce a dictionary
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// Key: method name.
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// Val: compiled blob (represented by a string).
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c10::Dict<IValue, IValue> compiled(StringType::get(), StringType::get());
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for (const auto& method : mod.get_methods()) {
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const auto graph = method.function().graph()->copy();
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auto key = method.name();
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std::stringstream ss;
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for (const auto& node : graph->nodes()) {
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switch (node->kind()) {
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case prim::Constant:
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ss << node->kind().toDisplayString() << "#"
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<< toIValue(node->output()).value();
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break;
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case aten::add:
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ss << node->kind().toQualString();
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break;
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case aten::sub:
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ss << node->kind().toQualString();
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break;
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default:
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TORCH_CHECK(
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false,
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"The node of ",
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node->kind().toQualString(),
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" is not supported in this compiler. Source code: ",
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node->sourceRange().str());
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break;
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}
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ss << ",";
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}
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std::string blob = ss.str();
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if (!blob.empty()) {
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blob.pop_back();
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}
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compiled.insert(method.name(), blob);
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}
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return compiled;
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}
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constexpr auto backend_name = "backend_with_compiler_demo";
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static auto pre_reg = backend_preprocess_register(backend_name, preprocess);
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} // namespace
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} // namespace jit
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} // namespace torch
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