mirror of https://github.com/alibaba/MNN.git
61 lines
2.6 KiB
C++
61 lines
2.6 KiB
C++
//
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// VulkanSqueeze.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 "backend/vulkan/execution/VulkanSqueeze.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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VulkanSqueeze::VulkanSqueeze(Backend* bn) : VulkanBasicExecution(bn) {
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}
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VulkanSqueeze::~VulkanSqueeze() {
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}
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ErrorCode VulkanSqueeze::onEncode(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const VulkanCommandPool::Buffer* cmdBuffer) {
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auto input = inputs[0];
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auto output = outputs[0];
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auto inputFormat = TensorUtils::getDescribe(input)->dimensionFormat;
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if (MNN_DATA_FORMAT_NC4HW4 == inputFormat) {
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VkImageCopy copyRegion;
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::memset(©Region, 0, sizeof(copyRegion));
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copyRegion.srcSubresource.aspectMask = VK_IMAGE_ASPECT_COLOR_BIT;
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copyRegion.srcSubresource.layerCount = 1;
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copyRegion.dstSubresource.aspectMask = VK_IMAGE_ASPECT_COLOR_BIT;
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copyRegion.dstSubresource.layerCount = 1;
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copyRegion.extent.width = input->width();
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copyRegion.extent.height = input->height();
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copyRegion.extent.depth = UP_DIV(input->channel(), 4);
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auto vkBackend = static_cast<VulkanBackend*>(backend());
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auto inputImage = vkBackend->findTensor(input->deviceId())->image();
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auto outputImage = vkBackend->findTensor(output->deviceId())->image();
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vkCmdCopyImage(cmdBuffer->get(), inputImage->get(), VK_IMAGE_LAYOUT_TRANSFER_SRC_OPTIMAL, outputImage->get(),
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VK_IMAGE_LAYOUT_TRANSFER_DST_OPTIMAL, 1, ©Region);
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} else {
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auto inputBuffer = reinterpret_cast<VkBuffer>(input->deviceId());
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auto outputBuffer = reinterpret_cast<VkBuffer>(output->deviceId());
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cmdBuffer->barrierSource(inputBuffer, 0, input->size());
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const VkBufferCopy copyRegion = {0, 0, static_cast<VkDeviceSize>(input->size())};
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vkCmdCopyBuffer(cmdBuffer->get(), inputBuffer, outputBuffer, 1, ©Region);
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}
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return NO_ERROR;
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}
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class VulkanSqueezeCreator : public VulkanBackend::Creator {
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public:
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virtual VulkanBasicExecution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs, const MNN::Op* op, Backend* bn) const override {
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return new VulkanSqueeze(bn);
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}
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};
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static bool gResistor = []() {
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VulkanBackend::addCreator(OpType_Squeeze, new VulkanSqueezeCreator);
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return true;
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}();
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} // namespace MNN
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