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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>
81 lines
2.3 KiB
C++
81 lines
2.3 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 "onnx/defs/tensor_util.h"
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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 EliminateNopPad final : public PredicateBasedPass {
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explicit EliminateNopPad()
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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_pad";
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}
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static bool is_nop_pad(Node* node, Graph& graph) {
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if (node->hasAttribute(kpads)) {
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// opset 10 and below
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const auto& pads = node->is(kpads);
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for (size_t i = 0; i < pads.size(); i++) {
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// if pad constant_value is non-zero, this is not a nop pad
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if (pads[i] != 0) {
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return false;
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}
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}
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return true;
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} else {
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// opset 11 and above
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const auto& pads_name = node->inputs()[1]->uniqueName();
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const auto pads_initializer = graph.getInitializer(pads_name);
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// 'pad' node has the 'pads' input which has not been initialized -
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// can't proceed with elimination
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if (pads_initializer == graph.initializers().end())
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return false;
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// validate values within 'pads'
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if (pads_initializer->elem_type() == TensorProto::INT64) {
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const auto& pads = ParseData<int64_t>(&*pads_initializer);
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for (const auto& val : pads) {
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// if pad constant_value is non-zero, this is not a nop pad
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if (val != 0) {
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return false;
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}
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}
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return true;
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}
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}
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return false;
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}
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bool patternMatchPredicate(Node* node) override {
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return node->kind() == kPad;
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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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if (!is_nop_pad(node, graph))
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return false;
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const bool replacing_success =
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tryReplacingAllUsesWith(node->output(), node->inputs()[0]);
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if (!replacing_success) {
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return false;
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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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