/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef CAFFE_OPERATORS_UNIQUE_OPS_H_
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#define CAFFE_OPERATORS_UNIQUE_OPS_H_
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#include <cmath>
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#include "caffe2/core/context.h"
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#include "caffe2/core/logging.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/core/types.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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/**
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* Deduplicates input indices vector and optionally produces reverse remapping.
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* Current implementation produces a sorted list but it's not guaranteed in
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* general.
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*/
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template <class Context>
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class UniqueOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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USE_SIMPLE_CTOR_DTOR(UniqueOp)
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bool RunOnDevice() override {
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return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(this, Input(0));
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}
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template <typename T>
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bool DoRunWithType();
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private:
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vector<int> order_;
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Tensor thrust_unique_buffer_;
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Tensor cuda_order_buffer_{Context::GetDeviceType()};
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Tensor second_order_buffer_{Context::GetDeviceType()};
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public:
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OUTPUT_TAGS(UNIQUE, REMAPPING);
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};
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} // namespace caffe2
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#endif // CAFFE_OPERATORS_UNIQUE_OPS_H_
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