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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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.
*/
#ifndef CAFFE2_MAP_OP_H_
#define CAFFE2_MAP_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T, class Context>
class APMeterOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
APMeterOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
buffer_size_(
OperatorBase::GetSingleArgument<int32_t>("buffer_size", 1000)),
buffer_used_(0) {}
bool RunOnDevice() override;
protected:
using BufferDataType = std::pair<float, int>;
// Buffer the predictions for each class
std::vector<std::vector<BufferDataType>> buffers_;
// Capacity of the buffer
int buffer_size_;
// Used buffer
int buffer_used_;
INPUT_TAGS(PREDICTION, LABEL);
protected:
// Buffer predictions for N sample and D classes
void
BufferPredictions(const float* Xdata, const int* labelData, int N, int D);
};
} // namespace caffe2
#endif // CAFFE2_MAP_OP_H_