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https://github.com/PaddlePaddle/FastDeploy.git
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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
1.4 KiB
C++
49 lines
1.4 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 FuseTransposeIntoGemm final : public PredicateBasedPass {
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explicit FuseTransposeIntoGemm()
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: PredicateBasedPass(PassType::Fuse, PassEfficiency::Complete,
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PassOptimizationType::Compute) {}
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std::string getPassName() const override {
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return "fuse_transpose_into_gemm";
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}
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bool patternMatchPredicate(Node* node) override {
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return node->kind() == kGemm;
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}
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bool runTransform(Node* n, Graph&,
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NodeDestroyType& destroy_current) override {
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const std::vector<int64_t> simple_trans_perm({1, 0});
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destroy_current = NodeDestroyType::DestroyZero;
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bool ret_val = false;
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for (size_t i : {0, 1}) {
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auto inp = n->inputs()[i];
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auto trans = i == 0 ? ktransA : ktransB;
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if (inp->node()->kind() == kTranspose &&
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inp->node()->is(kperm) == simple_trans_perm) {
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n->replaceInput(i, inp->node()->input());
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n->i_(trans, n->hasAttribute(trans) ? !n->i(trans) : 1);
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if (inp->uses().size() == 0) {
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inp->node()->destroy();
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ret_val = true;
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}
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}
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}
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return ret_val;
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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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