MNN/source/backend/vulkan/execution/VulkanBasicExecution.cpp

71 lines
2.9 KiB
C++

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