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chunk.cu
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#include <cmath>
#include <stdio.h>
#include <cassert>
#include <iostream>
#include "chunk.h"
#include <cuda_runtime.h>
#define NV_CUDA_CHECK(status) \
{ \
if (status != 0) \
{ \
std::cout << "Cuda failure: " << cudaGetErrorString(status) << " in file " << __FILE__ \
<< " at line " << __LINE__ << std::endl; \
abort(); \
} \
}
namespace nvinfer1
{
Chunk::Chunk(const void* buffer, size_t size)
{
assert(size == sizeof(_n_size_split));
_n_size_split = *reinterpret_cast<const int*>(buffer);
}
int Chunk::getNbOutputs() const noexcept
{
return 2;
}
Dims Chunk::getOutputDimensions(int index, const Dims* inputs, int nbInputDims)noexcept
{
assert(nbInputDims == 1);
assert(index == 0 || index == 1);
return Dims3(inputs[0].d[0] / 2, inputs[0].d[1], inputs[0].d[2]);
}
int Chunk::initialize() noexcept
{
return 0;
}
void Chunk::terminate() noexcept
{
}
size_t Chunk::getWorkspaceSize(int maxBatchSize) const noexcept
{
return 0;
}
int Chunk::enqueue(int batchSize,
const void* const* inputs,
void** outputs,
void* workspace,
cudaStream_t stream)noexcept
{
return enqueue(batchSize, inputs, (void* const*)outputs, workspace, stream);
}
int Chunk::enqueue(int batchSize,
const void* const* inputs,
void* const* outputs,
void* workspace,
cudaStream_t stream) noexcept
{
//batch
for (int b = 0; b < batchSize; ++b)
{
NV_CUDA_CHECK(cudaMemcpyAsync((char*)outputs[0] + b * _n_size_split, (char*)inputs[0] + b * 2 * _n_size_split, _n_size_split, cudaMemcpyDeviceToDevice, stream));
NV_CUDA_CHECK(cudaMemcpyAsync((char*)outputs[1] + b * _n_size_split, (char*)inputs[0] + b * 2 * _n_size_split + _n_size_split, _n_size_split, cudaMemcpyDeviceToDevice, stream));
}
return 0;
}
size_t Chunk::getSerializationSize() const noexcept
{
return sizeof(_n_size_split);
}
void Chunk::serialize(void *buffer)const noexcept
{
*reinterpret_cast<int*>(buffer) = _n_size_split;
}
const char* Chunk::getPluginType()const noexcept
{
return "CHUNK_TRT";
}
const char* Chunk::getPluginVersion() const noexcept
{
return "1.0";
}
void Chunk::destroy() noexcept
{
delete this;
}
void Chunk::setPluginNamespace(const char* pluginNamespace) noexcept
{
_s_plugin_namespace = pluginNamespace;
}
const char* Chunk::getPluginNamespace() const noexcept
{
return _s_plugin_namespace.c_str();
}
DataType Chunk::getOutputDataType(int index,
const nvinfer1::DataType* inputTypes,
int nbInputs) const noexcept
{
assert(index == 0 || index == 1);
return DataType::kFLOAT;
}
bool Chunk::isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const noexcept
{
return false;
}
bool Chunk::canBroadcastInputAcrossBatch(int inputIndex) const noexcept
{
return false;
}
void Chunk::attachToContext(cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator)
{
}
void Chunk::configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput)
{
_n_size_split = in->dims.d[0] / 2 * in->dims.d[1] * in->dims.d[2] *sizeof(float);
}
void Chunk::detachFromContext()
{
}
bool Chunk::supportsFormat(DataType type, PluginFormat format) const noexcept
{
return (type == DataType::kFLOAT && format == PluginFormat::kLINEAR);
}
void Chunk::configureWithFormat(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, DataType type, PluginFormat format, int maxBatchSize) noexcept
{
size_t typeSize = sizeof(float);
switch (type)
{
case DataType::kFLOAT:
typeSize = sizeof(float);
break;
case DataType::kHALF:
typeSize = sizeof(float) / 2;
break;
case DataType::kINT8:
typeSize = 1;
break;
case DataType::kINT32:
typeSize = 4;
break;
case DataType::kBOOL:
typeSize = 1;
break;
}
_n_size_split = inputDims->d[0] / 2 * inputDims->d[1] * inputDims->d[2] * typeSize;
}
// Clone the plugin
IPluginV2* Chunk::clone() const noexcept
{
Chunk *p = new Chunk();
p->_n_size_split = _n_size_split;
p->setPluginNamespace(_s_plugin_namespace.c_str());
return p;
}
//----------------------------
PluginFieldCollection ChunkPluginCreator::_fc{};
std::vector<PluginField> ChunkPluginCreator::_vec_plugin_attributes;
ChunkPluginCreator::ChunkPluginCreator()
{
_vec_plugin_attributes.clear();
_fc.nbFields = _vec_plugin_attributes.size();
_fc.fields = _vec_plugin_attributes.data();
}
const char* ChunkPluginCreator::getPluginName() const noexcept
{
return "CHUNK_TRT";
}
const char* ChunkPluginCreator::getPluginVersion() const noexcept
{
return "1.0";
}
const PluginFieldCollection* ChunkPluginCreator::getFieldNames()noexcept
{
return &_fc;
}
IPluginV2* ChunkPluginCreator::createPlugin(const char* name, const PluginFieldCollection* fc)noexcept
{
Chunk* obj = new Chunk();
obj->setPluginNamespace(_s_name_space.c_str());
return obj;
}
IPluginV2* ChunkPluginCreator::deserializePlugin(const char* name, const void* serialData, size_t serialLength)noexcept
{
Chunk* obj = new Chunk(serialData,serialLength);
obj->setPluginNamespace(_s_name_space.c_str());
return obj;
}
void ChunkPluginCreator::setPluginNamespace(const char* libNamespace)noexcept
{
_s_name_space = libNamespace;
}
const char* ChunkPluginCreator::getPluginNamespace() const noexcept
{
return _s_name_space.c_str();
}
}//namespace nvinfer1