mirror of https://github.com/alibaba/MNN.git
48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
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//
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// VulkanBasicExecution.cpp
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// MNN
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//
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// Created by MNN on 2019/01/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "VulkanBasicExecution.hpp"
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#include "VulkanBackend.hpp"
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namespace MNN {
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VulkanBasicExecution::VulkanBasicExecution(Backend *bn) : Execution(bn) {
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auto extra = static_cast<VulkanBackend *>(bn);
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mCmdBuffer.reset(const_cast<VulkanCommandPool::Buffer *>(extra->getPool().allocBuffer()));
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}
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VulkanBasicExecution::~VulkanBasicExecution() {
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}
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ErrorCode VulkanBasicExecution::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto extra = static_cast<VulkanBackend *>(backend());
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extra->pushCommand(mCmdBuffer->get());
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return NO_ERROR;
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}
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ErrorCode VulkanBasicExecution::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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mCmdBuffer->begin(0);
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auto extra = static_cast<VulkanBackend *>(backend());
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for (auto input : inputs) {
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auto vkTensor = extra->findTensor(input->deviceId());
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if (nullptr == vkTensor) {
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// The case occured if we don't need the content of input
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continue;
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}
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if (nullptr != vkTensor->image()) {
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mCmdBuffer->barrierImage(vkTensor->image()->get(), VK_IMAGE_LAYOUT_GENERAL,
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VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL);
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} else {
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MNN_ASSERT(vkTensor->buffer() != nullptr);
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mCmdBuffer->barrierSource(vkTensor->buffer()->buffer(), 0, vkTensor->buffer()->size());
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}
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}
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auto code = this->onEncode(inputs, outputs, mCmdBuffer.get());
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mCmdBuffer->end();
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return code;
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}
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} // namespace MNN
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