1 /** 2 * Copyright 2020-2023 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_DATA_RANDOM_APPLY_OP_ 18 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_DATA_RANDOM_APPLY_OP_ 19 20 #include <memory> 21 #include <random> 22 #include <string> 23 #include <utility> 24 #include <vector> 25 26 #include "minddata/dataset/core/tensor.h" 27 #include "minddata/dataset/kernels/data/compose_op.h" 28 #include "minddata/dataset/kernels/tensor_op.h" 29 #include "minddata/dataset/util/random.h" 30 31 namespace mindspore { 32 namespace dataset { 33 class RandomApplyOp : public RandomTensorOp { 34 public: 35 /// constructor 36 /// \param[in] ops the list of TensorOps to apply with prob likelihood 37 /// \param[in] prob probability whether the list of TensorOps will be applied 38 RandomApplyOp(const std::vector<std::shared_ptr<TensorOp>> &ops, double prob); 39 40 /// default destructor 41 ~RandomApplyOp() override = default; 42 43 /// return the number of inputs the first tensorOp in compose takes 44 /// \return number of input tensors NumInput()45 uint32_t NumInput() override { return compose_->NumInput(); } 46 47 /// return the number of outputs 48 /// \return number of output tensors 49 uint32_t NumOutput() override; 50 51 /// return output shape if randomApply won't affect the output shape, otherwise return unknown shape 52 /// \param[in] inputs 53 /// \param[out] outputs 54 /// \return Status code 55 Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override; 56 57 /// return output type if randomApply won't affect the output type, otherwise return unknown type 58 /// \param[in] inputs 59 /// \param[out] outputs 60 /// \return Status code 61 Status OutputType(const std::vector<DataType> &inputs, std::vector<DataType> &outputs) override; 62 63 /// \param[in] input 64 /// \param[out] output 65 /// \return Status code 66 Status Compute(const TensorRow &input, TensorRow *output) override; 67 Name()68 std::string Name() const override { return kRandomApplyOp; } 69 70 private: 71 double prob_; 72 std::shared_ptr<TensorOp> compose_; 73 std::uniform_real_distribution<double> rand_double_; 74 }; 75 } // namespace dataset 76 } // namespace mindspore 77 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_DATA_RANDOM_APPLY_OP_ 78