argmax_plugin.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 "modules/perception/inference/tensorrt/rt_common.h"
#include "modules/perception/proto/rt.pb.h"

namespace apollo {
namespace perception {
namespace inference {

class ArgMax1Plugin : public nvinfer1::IPlugin {
 public:
  ArgMax1Plugin(const ArgMaxParameter &argmax_param, nvinfer1::Dims in_dims) {
    input_dims_.nbDims = in_dims.nbDims;
    CHECK_GT(input_dims_.nbDims, 0);
    for (int i = 0; i < in_dims.nbDims; i++) {
      input_dims_.d[i] = in_dims.d[i];
      input_dims_.type[i] = in_dims.type[i];
    }
    axis_ = argmax_param.axis();
    out_max_val_ = argmax_param.out_max_val();
    top_k_ = argmax_param.top_k();
    CHECK_GE(top_k_, 1) << "top k must not be less than 1.";
    output_dims_ = input_dims_;
    output_dims_.d[0] = 1;
    if (out_max_val_) {
      // Produces max_ind and max_val
      output_dims_.d[0] = 2;
    }
  }

  virtual int initialize() { return 0; }
  virtual void terminate() {}
  int getNbOutputs() const override { return 1; }
  virtual nvinfer1::Dims getOutputDimensions(int index,
                                             const nvinfer1::Dims *inputs,
                                             int nbInputDims) {
    input_dims_ = inputs[0];
    for (int i = 1; i < input_dims_.nbDims; i++) {
      output_dims_.d[i] = input_dims_.d[i];
    }
    return output_dims_;
  }

  void configure(const nvinfer1::Dims *inputDims, int nbInputs,
                 const nvinfer1::Dims *outputDims, int nbOutputs,
                 int maxBatchSize) override {
    input_dims_ = inputDims[0];
    for (int i = 1; i < input_dims_.nbDims; i++) {
      output_dims_.d[i] = input_dims_.d[i];
    }
  }

  size_t getWorkspaceSize(int maxBatchSize) const override { return 0; }

  virtual int enqueue(int batchSize, const void *const *inputs, void **outputs,
                      void *workspace, cudaStream_t stream);

  size_t getSerializationSize() override { return 0; }

  void serialize(void *buffer) override {
    char *d = reinterpret_cast<char *>(buffer), *a = d;
    size_t size = getSerializationSize();
    CHECK_EQ(d, a + size);
  }

  virtual ~ArgMax1Plugin() {}

 private:
  bool out_max_val_;
  size_t top_k_;
  int axis_;
  nvinfer1::Dims input_dims_;
  nvinfer1::Dims output_dims_;
};

}  // namespace inference
}  // namespace perception
}  // namespace apollo