mirror of https://github.com/alibaba/MNN.git
55 lines
1.8 KiB
C++
55 lines
1.8 KiB
C++
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// ShapePlugin.cpp
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// MNN
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//
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// Created by MNN on 2020/04/05.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifdef MNN_WITH_PLUGIN
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#include "core/SizeComputer.hpp"
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#include "core/TensorUtils.hpp"
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#include "MNN/plugin/PluginShapeInference.hpp"
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namespace MNN {
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static std::shared_ptr<plugin::InferShapeKernel> getInferShapeKernel( // NOLINT
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const std::string& name) { // NOLINT
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return std::shared_ptr<plugin::InferShapeKernel>( // NOLINT
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plugin::InferShapeKernelRegister::get(name));
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}
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class PluginSizeComputer : public SizeComputer {
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public:
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virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) const override {
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// Plugin op should has inputs or outputs, or both.
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MNN_CHECK(inputs.size() > 0 || outputs.size() > 0, // NOLINT
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"Plugin op should has inputs or outputs, or both of them.");
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const Plugin* plugin_param = op->main_as<Plugin>();
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std::shared_ptr<plugin::InferShapeKernel> kernel = // NOLINT
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getInferShapeKernel(plugin_param->type()->str());
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MNN_CHECK(nullptr != kernel.get(), // NOLINT
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"Shape inference kernel has not been registered for plugin op.");
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plugin::InferShapeContext ctx(inputs, outputs);
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for (const Attribute* attr : *(plugin_param->attr())) {
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ctx.setAttr(attr->key()->str(), attr);
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}
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bool status = kernel->compute(&ctx);
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if (!status) {
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MNN_ERROR("Plugin op infer shape failed with false returned.");
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}
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return status;
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}
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};
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REGISTER_SHAPE(PluginSizeComputer, OpType_Plugin);
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} // namespace MNN
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#endif // MNN_WITH_PLUGIN
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