130 lines
4.5 KiB
C++
130 lines
4.5 KiB
C++
//
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// VulkanArgMax.cpp
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// MNN
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//
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// Created by MNN on 2024/08/20.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "VulkanArgMax.hpp"
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namespace MNN {
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struct GpuArgMaxParam {
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ivec4 size; // inside, mid, outside, 0
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};
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VulkanArgMax::VulkanArgMax(const Op* op, Backend* bn) : VulkanBasicExecution(bn) {
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auto vkBn = (VulkanBackend *)backend();
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mAxis = op->main_as_ArgMax()->axis();
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std::vector<VkDescriptorType> types{
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VK_DESCRIPTOR_TYPE_STORAGE_BUFFER,
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VK_DESCRIPTOR_TYPE_STORAGE_BUFFER,
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VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER,
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};
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if (op->type() == OpType_ArgMax) {
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mArgMaxPipeline =
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vkBn->getPipeline("glsl_argmax_comp", types);
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} else {
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MNN_ASSERT(op->type() == OpType_ArgMin);
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mArgMaxPipeline =
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vkBn->getPipeline("glsl_argmax_ARGMIN_comp", types);
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}
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mGpuArgMaxParam.reset(new VulkanBuffer(vkBn->getMemoryPool(), false, sizeof(GpuArgMaxParam), nullptr, VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT));
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mDescriptorSet.reset(mArgMaxPipeline->createSet());
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}
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VulkanArgMax::~VulkanArgMax() {
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}
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// set descriptorSet, including output, input and GPU param
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ErrorCode VulkanArgMax::onEncode(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const VulkanCommandPool::Buffer* cmdBuffer) {
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auto vkBn = (VulkanBackend*)backend();
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auto input = inputs[0];
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auto output = outputs[0];
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// set GPU param
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auto axis = mAxis;
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if (axis < 0) {
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axis = input->dimensions() + axis;
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}
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int inside = 1;
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int outside = 1;
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int mid = input->length(axis);
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for (int i=0; i<axis; ++i) {
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outside *= input->length(i);
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}
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for (int i=axis+1; i<input->dimensions(); ++i) {
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inside *= input->length(i);
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}
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auto total = outside * inside;
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auto Argmax = reinterpret_cast<GpuArgMaxParam *>(mGpuArgMaxParam->map());
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Argmax->size[0] = inside;
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Argmax->size[1] = mid;
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Argmax->size[2] = outside;
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Argmax->size[3] = 0;
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mGpuArgMaxParam->unmap();
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// set necessary storages, set descriptorSet and bind commandBuffer
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{
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int bufferSizeSource = sizeof(float);
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for (int i=0; i<input->dimensions(); ++i) {
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bufferSizeSource *= input->length(i);
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}
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mSource.buffer.reset(new VulkanBuffer(vkBn->getDynamicMemoryPool(), false, bufferSizeSource, nullptr, VK_BUFFER_USAGE_STORAGE_BUFFER_BIT));
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mSource.convert.reset(new VulkanImageConverter(vkBn));
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}
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{
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int bufferSizeOutput = sizeof(float);
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for (int i=0; i<output->dimensions(); ++i) {
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bufferSizeOutput *= output->length(i);
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}
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mOutput.convert.reset(new VulkanImageConverter(vkBn));
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mOutput.buffer.reset(new VulkanBuffer(vkBn->getDynamicMemoryPool(), false, bufferSizeOutput, nullptr, VK_BUFFER_USAGE_STORAGE_BUFFER_BIT));
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}
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mSource.convert->encodeTensorToBuffer(input, mSource.buffer->buffer(), mSource.buffer->size(), 0, VulkanImageConverter::getTensorLinearFormat(input), cmdBuffer);
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mDescriptorSet->writeBuffer(mOutput.buffer->buffer(), 0, mOutput.buffer->size());
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mDescriptorSet->writeBuffer(mSource.buffer->buffer(), 1, mSource.buffer->size());
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mDescriptorSet->writeBuffer(mGpuArgMaxParam->buffer(), 2, mGpuArgMaxParam->size());
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cmdBuffer->barrierSource(mSource.buffer->buffer(), 0, mSource.buffer->size());
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mArgMaxPipeline->bind(cmdBuffer->get(), mDescriptorSet->get());
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vkCmdDispatch(cmdBuffer->get(), UP_DIV(total, 256), 1, 1);
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cmdBuffer->barrierSource(mOutput.buffer->buffer(), 0, mOutput.buffer->size());
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mOutput.convert->encodeBufferToTensor(mOutput.buffer->buffer(), output, mOutput.buffer->size(), 0, VulkanImageConverter::getTensorLinearFormat(output), cmdBuffer);
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{
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mSource.buffer->release();
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mOutput.buffer->release();
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}
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return NO_ERROR;
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}
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class VulkanArgMaxCreator : 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,
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Backend* backend) const override {
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if (TensorUtils::getDescribe(inputs[0])->dimensionFormat == MNN_DATA_FORMAT_NC4HW4) {
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// Don't support legency version
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return nullptr;
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}
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return new VulkanArgMax(op, backend);
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}
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};
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static bool gResistor = []() {
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VulkanBackend::addCreator(OpType_ArgMax, new VulkanArgMaxCreator);
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VulkanBackend::addCreator(OpType_ArgMin, new VulkanArgMaxCreator);
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return true;
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}();
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}
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