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LinkDecoder Aug 24, 2025
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390 changes: 195 additions & 195 deletions CUDA-Optimized/FastSpeech/fastspeech/model/fastspeech.py
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280 changes: 140 additions & 140 deletions CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/add_pos_enc/AddPosEncPlugin.h
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Original file line number Diff line number Diff line change
@@ -1,140 +1,140 @@
// Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of the NVIDIA CORPORATION nor the
// names of its contributors may be used to endorse or promote products
// derived from this software without specific prior written permission.
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "NvInfer.h"
#include "NvInferRuntimeCommon.h"
#include <iostream>
#include <cstring>
#include <assert.h>
using namespace std;
using namespace nvinfer1;
class AddPosEncPlugin: public IPluginV2IOExt {
public:
AddPosEncPlugin() {};
AddPosEncPlugin(const void *buffer, size_t length) {
memcpy(&m, buffer, sizeof(m));
}
virtual size_t getSerializationSize() const override {
return sizeof(m);
}
virtual void serialize(void *buffer) const override {
memcpy(buffer, &m, sizeof(m));
}
nvinfer1::IPluginV2Ext* clone() const override {
return new AddPosEncPlugin(&m, sizeof(m));
}
int getNbOutputs() const override {
return 1;
}
nvinfer1::Dims getOutputDimensions(int index, const nvinfer1::Dims* pInputDim, int nInputDim) override {
return pInputDim[0];
}
size_t getWorkspaceSize(int nBatch) const override {return 0;}
int enqueue(int nBatch, const void * const *inputs, void **outputs, void* workspace, cudaStream_t stream) override;
int initialize() override {return 0;}
void terminate() override {}
void destroy() override { delete this; }
void setPluginNamespace(const char* szNamespace) override {}
const char* getPluginNamespace() const override {return "";}
const char* getPluginType() const override {return "AddPosEncPlugin";}
const char* getPluginVersion() const override {return "0.0.1";}
void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) override
{
m.inputDim = in[0].dims;
m.dataType = in[0].type;
}
bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const override
{
assert(nbInputs == 1 && nbOutputs == 1 && pos < nbInputs + nbOutputs);
bool condition = inOut[pos].format == TensorFormat::kLINEAR;
condition &= ((inOut[pos].type == DataType::kFLOAT)
// || (inOut[pos].type == DataType::kHALF)
);
switch (pos) {
case 0: // input
condition &= ((inOut[pos].type == DataType::kFLOAT) // for seq in fp32
|| (inOut[pos].type == DataType::kHALF)); // for seq in fp16
break;
case 1: // output
condition &= ((inOut[pos].type == inOut[0].type)); // the same type as the input
break;
}
return condition;
}
DataType getOutputDataType(int index, const DataType* inputTypes, int nbInputs) const override
{
return inputTypes[0];
}
bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const override
{
return false;
}
bool canBroadcastInputAcrossBatch(int inputIndex) const override
{
return false;
}
private:
struct {
Dims inputDim;
DataType dataType;
} m;
};
class AddPosEncPluginCreator : public nvinfer1::IPluginCreator {
public:
nvinfer1::IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override {
return new AddPosEncPlugin(serialData, serialLength);
}
const char* getPluginName() const override {return "AddPosEncPlugin";}
const char* getPluginVersion() const override {return "0.0.1";}
void setPluginNamespace(const char* szNamespace) override {}
const char* getPluginNamespace() const override {return "";}
const nvinfer1::PluginFieldCollection* getFieldNames() override {
std::cout << __FUNCTION__ << std::endl;
return nullptr;
}
nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) override {
return new AddPosEncPlugin();
}
};
// Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.

// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of the NVIDIA CORPORATION nor the
// names of its contributors may be used to endorse or promote products
// derived from this software without specific prior written permission.

// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

#include "NvInfer.h"
#include "NvInferRuntimeCommon.h"
#include <iostream>
#include <cstring>
#include <assert.h>

using namespace std;
using namespace nvinfer1;

class AddPosEncPlugin: public IPluginV2IOExt {
public:
AddPosEncPlugin() {};

AddPosEncPlugin(const void *buffer, size_t length) {
memcpy(&m, buffer, sizeof(m));
}

virtual size_t getSerializationSize() const override {
return sizeof(m);
}
virtual void serialize(void *buffer) const override {
memcpy(buffer, &m, sizeof(m));
}

nvinfer1::IPluginV2Ext* clone() const override {
return new AddPosEncPlugin(&m, sizeof(m));
}

int getNbOutputs() const override {
return 1;
}
nvinfer1::Dims getOutputDimensions(int index, const nvinfer1::Dims* pInputDim, int nInputDim) override {
return pInputDim[0];
}

size_t getWorkspaceSize(int nBatch) const override {return 0;}
int enqueue(int nBatch, const void * const *inputs, void **outputs, void* workspace, cudaStream_t stream) override;

int initialize() override {return 0;}
void terminate() override {}
void destroy() override { delete this; }
void setPluginNamespace(const char* szNamespace) override {}
const char* getPluginNamespace() const override {return "";}
const char* getPluginType() const override {return "AddPosEncPlugin";}
const char* getPluginVersion() const override {return "0.0.1";}

void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) override
{
m.inputDim = in[0].dims;
m.dataType = in[0].type;
}

bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const override
{
assert(nbInputs == 1 && nbOutputs == 1 && pos < nbInputs + nbOutputs);

bool condition = inOut[pos].format == TensorFormat::kLINEAR;
condition &= ((inOut[pos].type == DataType::kFLOAT)
// || (inOut[pos].type == DataType::kHALF)
);

switch (pos) {
case 0: // input
condition &= ((inOut[pos].type == DataType::kFLOAT) // for seq in fp32
|| (inOut[pos].type == DataType::kHALF)); // for seq in fp16
break;
case 1: // output
condition &= ((inOut[pos].type == inOut[0].type)); // the same type as the input
break;
}

return condition;
}

DataType getOutputDataType(int index, const DataType* inputTypes, int nbInputs) const override
{
return inputTypes[0];
}

bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const override
{
return false;
}

bool canBroadcastInputAcrossBatch(int inputIndex) const override
{
return false;
}

private:
struct {
Dims inputDim;
DataType dataType;
} m;
};

class AddPosEncPluginCreator : public nvinfer1::IPluginCreator {
public:
nvinfer1::IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override {
return new AddPosEncPlugin(serialData, serialLength);
}

const char* getPluginName() const override {return "AddPosEncPlugin";}
const char* getPluginVersion() const override {return "0.0.1";}

void setPluginNamespace(const char* szNamespace) override {}
const char* getPluginNamespace() const override {return "";}

const nvinfer1::PluginFieldCollection* getFieldNames() override {
std::cout << __FUNCTION__ << std::endl;
return nullptr;
}
nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) override {
return new AddPosEncPlugin();
}
};
Empty file modified CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/add_pos_enc/AddPosEncPlugin.so
100755 → 100644
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