mirror of https://github.com/alibaba/MNN.git
67 lines
2.6 KiB
C++
67 lines
2.6 KiB
C++
|
//
|
||
|
|
// VulkanBasicExecution.cpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2019/01/31.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#include "VulkanBasicExecution.hpp"
|
||
|
|
#include "VulkanBackend.hpp"
|
||
|
|
#include "core/TensorUtils.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 vkBn = static_cast<VulkanBackend*>(backend());
|
||
|
|
for (auto input : inputs) {
|
||
|
|
auto des = TensorUtils::getDescribe(input);
|
||
|
|
if (0 == input->deviceId()) {
|
||
|
|
continue;
|
||
|
|
}
|
||
|
|
auto vkTensor = (VulkanBuffer*)(input->deviceId());
|
||
|
|
if (nullptr == vkTensor) {
|
||
|
|
// The case occured if we don't need the content of input
|
||
|
|
continue;
|
||
|
|
}
|
||
|
|
auto offset = des->extra.offset;
|
||
|
|
mCmdBuffer->barrierSource(vkTensor->buffer(), offset, vkBn->getTensorSize(input));
|
||
|
|
}
|
||
|
|
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();
|
||
|
|
auto vkBn = static_cast<VulkanBackend*>(backend());
|
||
|
|
for (auto input : inputs) {
|
||
|
|
auto vkTensor = (VulkanBuffer*)(input->deviceId());
|
||
|
|
auto des = TensorUtils::getDescribe(input);
|
||
|
|
if (nullptr == vkTensor) {
|
||
|
|
// The case occured if we don't need the content of input
|
||
|
|
continue;
|
||
|
|
}
|
||
|
|
auto offset = des->extra.offset;
|
||
|
|
mCmdBuffer->barrierSource(vkTensor->buffer(), offset, vkBn->getTensorSize(input));
|
||
|
|
}
|
||
|
|
auto code = mEncoder->onEncode(inputs, outputs, mCmdBuffer.get());
|
||
|
|
return code;
|
||
|
|
}
|
||
|
|
} // namespace MNN
|