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MNN/source/backend/opencl/execution/buffer/RasterBufExecution.cpp

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//
// RasterBufExecution.cpp
// MNN
//
// Created by MNN on 2020/05/12.
// Copyright © 2018, Alibaba Group Holding Limited
//
#ifndef MNN_OPENCL_BUFFER_CLOSED
#include "backend/opencl/execution/buffer/RasterBufExecution.hpp"
#include "core/Macro.h"
#include "core/TensorUtils.hpp"
#include "core/OpCommonUtils.hpp"
#include "backend/opencl/core/OpenCLBackend.hpp"
namespace MNN {
namespace OpenCL {
RasterBufExecution::RasterBufExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend)
: CommonExecution(backend, op) {
mOpenCLBackend = (OpenCLBackend *)backend;
//nothing to do
}
ErrorCode RasterBufExecution::onEncode(const std::vector<Tensor *> &____inputs, const std::vector<Tensor *> &outputs) {
#ifdef LOG_VERBOSE
MNN_PRINT("start RasterBufExecution onResize !\n");
#endif
mTempInput.clear();
mTempOutput = nullptr;
MNN_ASSERT(outputs.size() == 1);
auto output = outputs[0];
if (!____inputs.empty()) {
OpCommonUtils::rasterInputReset(____inputs, outputs[0]);
}
auto des = TensorUtils::getDescribe(output);
auto outputDes = TensorUtils::getDescribe(output);
auto regionNum = des->regions.size();
auto mOpenCLBackend = static_cast<OpenCLBackend*>(backend());
auto runtime = mOpenCLBackend->getOpenCLRuntime();
int kernel_idx = 0;
auto outputShape = tensorShapeFormat(output);
mFast = false;
if (outputDes->dimensionFormat == MNN_DATA_FORMAT_NC4HW4) {
mFast = true;
for (int i=0; i< des->regions.size(); ++i) {
auto& slice = des->regions[i];
if (TensorUtils::getDescribe(slice.origin)->dimensionFormat != MNN_DATA_FORMAT_NC4HW4) {
mFast = false;
break;
}
if (!OpCommonUtils::canBlitFast(slice, output, 4, true)) {
mFast = false;
break;
}
}
}
mNeedZero = !TensorUtils::regionIsFull(output);
mNeedZero = mNeedZero || ((outputShape[3] % 4) != 0 && MNN_DATA_FORMAT_NC4HW4 == outputDes->dimensionFormat && !mFast);
if(mFast == false){
CanCombine(outputs);
regionNum = mCombineInfo.size();
}
mUnits.resize(regionNum);
if(mNeedZero)
{
mUnits.resize(regionNum + 1);
int region[] = {outputShape[0], outputShape[3], outputShape[1], outputShape[2]};//nchw
if(MNN_DATA_FORMAT_NC4HW4 == outputDes->dimensionFormat){
region[1] = ROUND_UP(outputShape[3], 4);
}
Unit &unit = mUnits[kernel_idx++];
unit.kernel = runtime->buildKernel("raster_buf", "buffer_set_zero", {}, mOpenCLBackend->getPrecision(), output, output);
unit.localWorkSize = {8, 8};
unit.globalWorkSize = {(uint32_t)UP_DIV((region[2] * region[3]), 8)*8,
(uint32_t)UP_DIV((region[0] * region[1]), 8)*8};
int global_dim0 = region[2] * region[3];
int global_dim1 = region[0] * region[1];
uint32_t idx = 0;
cl_int ret = CL_SUCCESS;
ret |= unit.kernel->get().setArg(idx++, global_dim0);
ret |= unit.kernel->get().setArg(idx++, global_dim1);
ret |= unit.kernel->get().setArg(idx++, openCLBuffer(output));
if(ret != CL_SUCCESS)
{
MNN_PRINT("setArg err %d\n", (int)ret);
}
mOpenCLBackend->recordKernel2d(unit.kernel, {(uint32_t)UP_DIV((region[2] * region[3]), 8)*8,
(uint32_t)UP_DIV((region[0] * region[1]), 8)*8}, {8, 8});
}
if(mFast)
{
// nc4hw4 buffer raster
for (auto& slice : des->regions)
{
auto origin = slice.origin;
auto inputShape = tensorShapeFormat(origin);
Tensor::InsideDescribe::Region C4Region;
OpCommonUtils::turnToPackRegion(slice, C4Region, output, 4, true);
Unit &unit = mUnits[kernel_idx++];
unit.kernel = runtime->buildKernel("raster_buf", "raster_nc4hw4_buffer", {}, mOpenCLBackend->getPrecision(), origin, output);
const std::vector<uint32_t> gws = {(uint32_t)C4Region.size[2],
(uint32_t)C4Region.size[1],
(uint32_t)C4Region.size[0]};
uint32_t mMaxWorkGroupSize = static_cast<uint32_t>(runtime->getMaxWorkGroupSize(unit.kernel));
auto outputShape = tensorShapeFormat(output);
auto sliceShape = tensorShapeFormat(slice.origin);
uint32_t idx = 0;
cl_int ret = CL_SUCCESS;
ret |= unit.kernel->get().setArg(idx++, gws[0]);
ret |= unit.kernel->get().setArg(idx++, gws[1]);
ret |= unit.kernel->get().setArg(idx++, gws[2]);
ret |= unit.kernel->get().setArg(idx++, openCLBuffer(slice.origin));
ret |= unit.kernel->get().setArg(idx++, C4Region.src.offset);
ret |= unit.kernel->get().setArg(idx++, C4Region.src.stride[0]);
ret |= unit.kernel->get().setArg(idx++, C4Region.src.stride[1]);
ret |= unit.kernel->get().setArg(idx++, C4Region.src.stride[2]);
ret |= unit.kernel->get().setArg(idx++, sliceShape[1]);
ret |= unit.kernel->get().setArg(idx++, sliceShape[2]);
ret |= unit.kernel->get().setArg(idx++, sliceShape[3]);
ret |= unit.kernel->get().setArg(idx++, openCLBuffer(output));
ret |= unit.kernel->get().setArg(idx++, C4Region.dst.offset);
ret |= unit.kernel->get().setArg(idx++, C4Region.dst.stride[0]);
ret |= unit.kernel->get().setArg(idx++, C4Region.dst.stride[1]);
ret |= unit.kernel->get().setArg(idx++, C4Region.dst.stride[2]);
ret |= unit.kernel->get().setArg(idx++, outputShape[1]);
ret |= unit.kernel->get().setArg(idx++, outputShape[2]);
ret |= unit.kernel->get().setArg(idx++, outputShape[3]);
if(ret != CL_SUCCESS)
{
MNN_PRINT("setArg err %d\n", (int)ret);
}
std::string name = "raster_nc4hw4_buffer";
const std::vector<uint32_t> lws = localWS3DDefault(gws, mMaxWorkGroupSize, mOpenCLBackend->getOpenCLRuntime(), name, unit.kernel, mOpenCLBackend->getCLTuneLevel(), "raster_buf").first;
unit.localWorkSize = {lws[0], lws[1], lws[2]};
unit.globalWorkSize = {ROUND_UP(gws[0], std::max((uint32_t)1, lws[0])),
ROUND_UP(gws[1], std::max((uint32_t)1, lws[1])),
ROUND_UP(gws[2], std::max((uint32_t)1, lws[2]))};
mOpenCLBackend->recordKernel3d(unit.kernel, gws, lws);
}
return NO_ERROR;
}
for(auto& info : mCombineInfo){
auto slice = info.mRegion;
int nums = info.mCanCombineNum;
int src_offset = info.mSrc_offset;
int dst_offset = info.mDst_offset;
std::set<std::string> buildOptions;
auto origin = slice.origin;
auto inputShape = tensorShapeFormat(origin);
buildOptions.emplace("-DINPUT_FORMAT=" + std::to_string(TensorUtils::getDescribe(origin)->dimensionFormat));
buildOptions.emplace("-DOUTPUT_FORMAT=" + std::to_string(outputDes->dimensionFormat));
Unit &unit = mUnits[kernel_idx++];
unit.kernel = runtime->buildKernel("raster_buf", "raster_direct_buffer", buildOptions, mOpenCLBackend->getPrecision(), origin, output);
const std::vector<uint32_t> gws = {(uint32_t)slice.size[2] * nums,
(uint32_t)slice.size[1],
(uint32_t)slice.size[0]};
uint32_t mMaxWorkGroupSize = static_cast<uint32_t>(runtime->getMaxWorkGroupSize(unit.kernel));
uint32_t idx = 0;
cl_int ret = CL_SUCCESS;
ret |= unit.kernel->get().setArg(idx++, gws[0]);
ret |= unit.kernel->get().setArg(idx++, gws[1]);
ret |= unit.kernel->get().setArg(idx++, gws[2]);
ret |= unit.kernel->get().setArg(idx++, slice.size[2]);
ret |= unit.kernel->get().setArg(idx++, openCLBuffer(origin));
ret |= unit.kernel->get().setArg(idx++, slice.src.offset);
ret |= unit.kernel->get().setArg(idx++, src_offset);
ret |= unit.kernel->get().setArg(idx++, slice.src.stride[0]);
ret |= unit.kernel->get().setArg(idx++, slice.src.stride[1]);
ret |= unit.kernel->get().setArg(idx++, slice.src.stride[2]);
ret |= unit.kernel->get().setArg(idx++, inputShape[2]);
ret |= unit.kernel->get().setArg(idx++, inputShape[1]);
ret |= unit.kernel->get().setArg(idx++, inputShape[3]);
ret |= unit.kernel->get().setArg(idx++, inputShape[0]);
ret |= unit.kernel->get().setArg(idx++, openCLBuffer(output));
ret |= unit.kernel->get().setArg(idx++, slice.dst.offset);
ret |= unit.kernel->get().setArg(idx++, dst_offset);
ret |= unit.kernel->get().setArg(idx++, slice.dst.stride[0]);
ret |= unit.kernel->get().setArg(idx++, slice.dst.stride[1]);
ret |= unit.kernel->get().setArg(idx++, slice.dst.stride[2]);
ret |= unit.kernel->get().setArg(idx++, outputShape[2]);
ret |= unit.kernel->get().setArg(idx++, outputShape[1]);
ret |= unit.kernel->get().setArg(idx++, outputShape[3]);
ret |= unit.kernel->get().setArg(idx++, outputShape[0]);
if(ret != CL_SUCCESS)
{
MNN_PRINT("setArg err %d\n", (int)ret);
}
std::string name = "raster_buffer";
const std::vector<uint32_t> lws = localWS3DDefault(gws, mMaxWorkGroupSize, mOpenCLBackend->getOpenCLRuntime(), name, unit.kernel, mOpenCLBackend->getCLTuneLevel(), "raster_buf").first;
unit.localWorkSize = {lws[0], lws[1], lws[2]};
unit.globalWorkSize = {gws[0], gws[1], gws[2]};
mOpenCLBackend->recordKernel3d(unit.kernel, gws, lws);
}
#ifdef LOG_VERBOSE
MNN_PRINT("end RasterBufExecution onResize !\n");
#endif
return NO_ERROR;
}
class RasterBufCreator : public OpenCLBackend::Creator {
public:
virtual ~RasterBufCreator() = default;
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, const MNN::Op *op,
Backend *backend) const override {
for (int i = 0; i < inputs.size(); ++i) {
TensorUtils::setTensorSupportPack(inputs[i], false);
}
for (int i = 0; i < outputs.size(); ++i) {
TensorUtils::setTensorSupportPack(outputs[i], false);
}
return new RasterBufExecution(inputs, op, backend);
}
};
void RasterBufExecution::CanCombine(const std::vector<Tensor *> &outputs){
auto des = TensorUtils::getDescribe(outputs[0]);
auto regions = des->regions;
Tensor* origin;
int size0, size1, size2, src_offset, dst_offset, last_src_offset, last_dst_offset, src_sride0, src_sride1, src_sride2, dst_sride0, dst_sride1, dst_sride2;
int canCombineNum = 0;
for(auto& slice : des->regions){
bool res = true;
if(canCombineNum == 0){
origin = slice.origin;
size0 = slice.size[0];
size1 = slice.size[1];
size2 = slice.size[2];
src_sride0 = slice.src.stride[0];
src_sride1 = slice.src.stride[1];
src_sride2 = slice.src.stride[2];
dst_sride0 = slice.dst.stride[0];
dst_sride1 = slice.dst.stride[1];
dst_sride2 = slice.dst.stride[2];
canCombineNum++;
// push back
mCombineInfo.push_back(CanCombineInfo(slice, 0, 0, 1));
} else if(canCombineNum == 1){
res &= slice.origin == origin;
res &= slice.size[0] == size0;
res &= slice.size[1] == size1;
res &= slice.size[2] == size2;
res &= slice.src.stride[0] == src_sride0;
res &= slice.src.stride[1] == src_sride1;
res &= slice.src.stride[2] == src_sride2;
res &= slice.dst.stride[0] == dst_sride0;
res &= slice.dst.stride[1] == dst_sride1;
res &= slice.dst.stride[2] == dst_sride2;
if(res){
src_offset = slice.src.offset - last_src_offset;
dst_offset = slice.dst.offset - last_dst_offset;
canCombineNum++;
// change canCombineNum
mCombineInfo.back().mSrc_offset = src_offset;
mCombineInfo.back().mDst_offset = dst_offset;
mCombineInfo.back().mCanCombineNum = canCombineNum;
} else{
origin = slice.origin;
size0 = slice.size[0];
size1 = slice.size[1];
size2 = slice.size[2];
src_sride0 = slice.src.stride[0];
src_sride1 = slice.src.stride[1];
src_sride2 = slice.src.stride[2];
dst_sride0 = slice.dst.stride[0];
dst_sride1 = slice.dst.stride[1];
dst_sride2 = slice.dst.stride[2];
// recover
canCombineNum = 1;
// push back
mCombineInfo.push_back(CanCombineInfo(slice, 0, 0, 1));
}
} else{
res &= slice.origin == origin;
res &= slice.size[0] == size0;
res &= slice.size[1] == size1;
res &= slice.size[2] == size2;
res &= slice.src.stride[0] == src_sride0;
res &= slice.src.stride[1] == src_sride1;
res &= slice.src.stride[2] == src_sride2;
res &= slice.dst.stride[0] == dst_sride0;
res &= slice.dst.stride[1] == dst_sride1;
res &= slice.dst.stride[2] == dst_sride2;
res &= slice.src.offset - last_src_offset == src_offset;
res &= slice.dst.offset - last_dst_offset == dst_offset;
if(res){
canCombineNum++;
// change canCombineNum
mCombineInfo.back().mSrc_offset = src_offset;
mCombineInfo.back().mDst_offset = dst_offset;
mCombineInfo.back().mCanCombineNum = canCombineNum;
} else{
origin = slice.origin;
size0 = slice.size[0];
size1 = slice.size[1];
size2 = slice.size[2];
src_sride0 = slice.src.stride[0];
src_sride1 = slice.src.stride[1];
src_sride2 = slice.src.stride[2];
dst_sride0 = slice.dst.stride[0];
dst_sride1 = slice.dst.stride[1];
dst_sride2 = slice.dst.stride[2];
// recover
canCombineNum = 1;
// push back
mCombineInfo.push_back(CanCombineInfo(slice, 0, 0, 1));
}
}
last_src_offset = slice.src.offset;
last_dst_offset = slice.dst.offset;
}
}
REGISTER_OPENCL_OP_CREATOR(RasterBufCreator, OpType_Raster, BUFFER);
} // namespace OpenCL
} // namespace MNN
#endif /* MNN_OPENCL_BUFFER_CLOSED */
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