rt_common.h

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/******************************************************************************
 * Copyright 2018 The Apollo Authors. All Rights Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *****************************************************************************/
 
#pragma once
 
#include <NvInferVersion.h>
 
#ifdef NV_TENSORRT_MAJOR
    #if NV_TENSORRT_MAJOR == 8
    #include "modules/perception/common/inference/tensorrt/rt_legacy.h"
    #endif
#endif
 
#include <map>
#include <string>
#include <vector>
 
#include "NvCaffeParser.h"
#include "NvInfer.h"
#if GPU_PLATFORM == NVIDIA
  #include <cudnn.h>
#elif GPU_PLATFORM == AMD
  #include <miopen/miopen.h>
  #define CUDNN_DATA_FLOAT miopenFloat
  #define CUDNN_SOFTMAX_ACCURATE MIOPEN_SOFTMAX_ACCURATE
  #define CUDNN_SOFTMAX_MODE_CHANNEL MIOPEN_SOFTMAX_MODE_CHANNEL
  #define cudnnCreate miopenCreate
  #define cudnnCreateTensorDescriptor miopenCreateTensorDescriptor
  #define cudnnDestroy miopenDestroy
  #define cudnnDestroyTensorDescriptor miopenDestroyTensorDescriptor
  #define cudnnHandle_t miopenHandle_t
  #define cudnnSetStream miopenSetStream
  #define cudnnSetTensor4dDescriptorEx miopenSet4dTensorDescriptorEx
  #define cudnnTensorDescriptor_t miopenTensorDescriptor_t
#endif
 
#include "modules/perception/common/proto/rt.pb.h"
 
#include "cyber/common/log.h"
#include "modules/perception/common/base/common.h"
 
namespace apollo {
namespace perception {
namespace inference {
 
typedef std::map<std::string, std::vector<nvinfer1::Weights>> WeightMap;
typedef std::map<std::string, nvinfer1::ITensor *> TensorMap;
typedef std::map<std::string, nvinfer1::DimsCHW> TensorDimsMap;
 
nvinfer1::DimsCHW ReshapeDims(const nvinfer1::DimsCHW &dims,
                              const nvinfer1::DimsCHW &inputDims);
void ParseNetParam(const NetParameter &net_param,
                   TensorDimsMap *tensor_dims_map,
                   std::map<std::string, std::string> *tensor_modify_map,
                   std::vector<LayerParameter> *order);
 
bool modify_pool_param(PoolingParameter *pool_param);
 
struct ConvParam {
  int kernel_h;
  int kernel_w;
  int padding_h;
  int padding_w;
  int stride_h;
  int stride_w;
  int group;
  int dilation;
};
 
bool ParserConvParam(const ConvolutionParameter &conv, ConvParam *param);
 
inline nvinfer1::DimsCHW getCHW(const nvinfer1::Dims &d) {
  assert(d.nbDims >= 3);
  return nvinfer1::DimsCHW(d.d[d.nbDims - 3], d.d[d.nbDims - 2],
                           d.d[d.nbDims - 1]);
}
 
}  // namespace inference
}  // namespace perception
}  // namespace apollo