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_COMPOSE_OP_ 18 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_DATA_COMPOSE_OP_ 19 20 #include <memory> 21 #include <string> 22 #include <utility> 23 #include <vector> 24 25 #include "minddata/dataset/core/tensor.h" 26 #include "minddata/dataset/kernels/tensor_op.h" 27 28 namespace mindspore { 29 namespace dataset { 30 class ComposeOp : public TensorOp { 31 public: 32 /// constructor 33 /// \param[in] ops list of TensorOps to compose into 1 TensorOp 34 explicit ComposeOp(const std::vector<std::shared_ptr<TensorOp>> &ops); 35 36 /// default destructor 37 ~ComposeOp() override = default; 38 39 /// return the number of inputs the first tensorOp in compose takes 40 /// \return number of input tensors NumInput()41 uint32_t NumInput() override { return ops_.front()->NumInput(); } 42 43 /// return the number of outputs the last tensorOp in compose produces 44 /// \return number of output tensors NumOutput()45 uint32_t NumOutput() override { return ops_.back()->NumOutput(); } 46 47 /// \param[in] inputs 48 /// \param[out] outputs 49 /// \return Status code 50 Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override; 51 52 /// \param[in] inputs 53 /// \param[out] outputs 54 /// \return Status code 55 Status OutputType(const std::vector<DataType> &inputs, std::vector<DataType> &outputs) override; 56 57 /// \param[in] input 58 /// \param[out] output 59 /// \return Status code 60 Status Compute(const TensorRow &input, TensorRow *output) override; 61 Name()62 std::string Name() const override { return kComposeOp; } 63 64 // Currently maybe 910b dvpp ops & cpu ops mixed used IsMixedOps()65 bool IsMixedOps() { 66 bool have_dvpp = false; 67 bool have_cpu = false; 68 for (auto &item : ops_) { 69 if (item->IsDvppOp()) { 70 have_dvpp = true; 71 } else { 72 have_cpu = true; 73 } 74 } 75 76 if (have_dvpp && have_cpu) { 77 MS_LOG(ERROR) << "Currently, it is not supported to mix DVPP transforms with CPU transforms in Compose."; 78 return true; 79 } 80 return false; 81 } 82 83 // Check whether compose contains dvpp ops. IsDvppOp()84 virtual bool IsDvppOp() { 85 bool have_dvpp = false; 86 for (auto &item : ops_) { 87 if (item->IsDvppOp()) { 88 have_dvpp = true; 89 break; 90 } 91 } 92 93 if (have_dvpp) { 94 return true; 95 } 96 return false; 97 } 98 GetOps()99 std::vector<std::shared_ptr<TensorOp>> GetOps() { return ops_; } 100 101 private: 102 std::vector<std::shared_ptr<TensorOp>> ops_; 103 }; 104 } // namespace dataset 105 } // namespace mindspore 106 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_DATA_COMPOSE_OP_ 107