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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 CAFFE_OPERATORS_UNIQUE_OPS_H_
#define CAFFE_OPERATORS_UNIQUE_OPS_H_
#include <cmath>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
/**
* Deduplicates input indices vector and optionally produces reverse remapping.
* Current implementation produces a sorted list but it's not guaranteed in
* general.
*/
template <class Context>
class UniqueOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(UniqueOp)
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(this, Input(0));
}
template <typename T>
bool DoRunWithType();
private:
vector<int> order_;
Tensor thrust_unique_buffer_;
Tensor cuda_order_buffer_{Context::GetDeviceType()};
Tensor second_order_buffer_{Context::GetDeviceType()};
public:
OUTPUT_TAGS(UNIQUE, REMAPPING);
};
} // namespace caffe2
#endif // CAFFE_OPERATORS_UNIQUE_OPS_H_
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