Files
alibaba--mnn/source/backend/vulkan/image/execution/VulkanResize.cpp
T
2026-07-13 13:33:03 +08:00

83 lines
3.4 KiB
C++

//
// VulkanResize.cpp
// MNN
//
// Created by MNN on 2019/01/31.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "VulkanResize.hpp"
#include "core/Macro.h"
namespace MNN {
struct GpuParam {
ivec4 inImgSize;
ivec4 outImgSize;
vec4 cord;
};
VulkanResize::VulkanResize(Backend* bn, float xScale, float yScale, int resizeType)
: VulkanBasicExecution(bn), mXScale(xScale), mYScale(yScale) {
std::vector<VkDescriptorType> VulkanResizeTypes{
VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER,
VK_DESCRIPTOR_TYPE_STORAGE_IMAGE,
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER,
};
auto extra = static_cast<VulkanBackend*>(bn);
if (1 == resizeType) {
mVulkanResizePipeline = extra->getPipeline(
"glsl_resizeNearest_comp", VulkanResizeTypes);
} else if (2 == resizeType) {
mVulkanResizePipeline = extra->getPipeline(
"glsl_resizeBilinear_comp", VulkanResizeTypes);
} else {
mVulkanResizePipeline = extra->getPipeline(
"glsl_resizeNearest_NEAREST_ROUND_comp", VulkanResizeTypes);
}
mParamBuffer.reset(
new VulkanBuffer(extra->getMemoryPool(), false, sizeof(GpuParam), nullptr, VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT));
}
VulkanResize::~VulkanResize() {
}
ErrorCode VulkanResize::encodeImpl(Tensor* input, Tensor* output, const float* cords,
const VulkanCommandPool::Buffer* cmdBuffer) {
const int channelDiv4 = UP_DIV(input->channel(), 4);
auto extra = static_cast<VulkanBackend*>(backend());
auto VulkanResizeParam = reinterpret_cast<GpuParam*>(mParamBuffer->map());
::memset(VulkanResizeParam, 0, sizeof(GpuParam));
VulkanResizeParam->inImgSize[0] = input->width();
VulkanResizeParam->inImgSize[1] = input->height();
VulkanResizeParam->inImgSize[2] = channelDiv4;
VulkanResizeParam->inImgSize[3] = input->batch();
VulkanResizeParam->outImgSize[0] = output->width();
VulkanResizeParam->outImgSize[1] = output->height();
VulkanResizeParam->outImgSize[2] = channelDiv4;
VulkanResizeParam->outImgSize[3] = output->batch();
::memcpy(VulkanResizeParam->cord, cords, 4 * sizeof(float));
mParamBuffer->flush(true, 0, sizeof(GpuParam));
mParamBuffer->unmap();
auto vkOutput = reinterpret_cast<VulkanTensor*>(output->deviceId());
auto vkInput = reinterpret_cast<VulkanTensor*>(input->deviceId());
mDescriptorSet.reset(mVulkanResizePipeline->createSet());
mDescriptorSet->writeImage(((VulkanTensor*)input->deviceId())->image()->view(), extra->getCommonSampler()->get(),
VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL, 0);
mDescriptorSet->writeImage(((VulkanTensor*)output->deviceId())->image()->view(), extra->getCommonSampler()->get(),
VK_IMAGE_LAYOUT_GENERAL, 1);
mDescriptorSet->writeBuffer(mParamBuffer->buffer(), 2, mParamBuffer->size());
mVulkanResizePipeline->bind(cmdBuffer->get(), mDescriptorSet->get());
vkInput->image()->barrierRead(cmdBuffer->get());
vkOutput->image()->barrierWrite(cmdBuffer->get());
vkCmdDispatch(cmdBuffer->get(), UP_DIV(output->width(), 16), UP_DIV(output->height(), 16),
channelDiv4 * input->batch());
return NO_ERROR;
}
} // namespace MNN