| /** |
| * 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_ |