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6343b0db47
* Add notes for tensors * Optimize some apis * move some warnings * Support build with Paddle2ONNX * Add protobuf support * Fix compile on mac * add clearn package script * Add paddle2onnx code * remove submodule * Add onnx ocde * remove softlink * add onnx code * fix error * Add cmake file * fix patchelf * update paddle2onnx * Delete .gitmodules --------- Co-authored-by: PaddleCI <paddle_ci@example.com> Co-authored-by: pangyoki <pangyoki@126.com> Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
49 lines
1.5 KiB
C++
49 lines
1.5 KiB
C++
/*
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* SPDX-License-Identifier: Apache-2.0
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*/
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// ATTENTION: The code in this file is highly EXPERIMENTAL.
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// Adventurous users should note that the APIs will probably change.
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#pragma once
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#include "onnxoptimizer/pass.h"
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namespace ONNX_NAMESPACE {
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namespace optimization {
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struct EliminateNopDropout final : public PredicateBasedPass {
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explicit EliminateNopDropout()
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: PredicateBasedPass(PassType::Nop, PassEfficiency::Complete,
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PassOptimizationType::Compute) {}
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std::string getPassName() const override {
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return "eliminate_nop_dropout";
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}
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bool patternMatchPredicate(Node* node) override {
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// in opset 12, ratio is an input of Dropout rather than an attribute,
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// however we don't want to to remove Dropout fro opset 12+, since it
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// supports training-friendly models, for which the Dropout ops are required
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return (node->kind() == kDropout && node->hasAttribute(kratio)) &&
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node->f(kratio) == 0.0;
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}
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bool runTransform(Node* node, Graph& graph,
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NodeDestroyType& destroy_current) override {
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// Don't assume that theres only one output.
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for (size_t i = 0; i < node->outputs().size(); ++i) {
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const bool replacing_success =
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tryReplacingAllUsesWith(node->outputs()[i], node->input());
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if (!replacing_success) {
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return false;
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}
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}
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destroy_current = NodeDestroyType::DestroyOne;
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return true;
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}
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};
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} // namespace optimization
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} // namespace ONNX_NAMESPACE
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