1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_LITE_DELEGATES_GPU_COMMON_TENSOR_H_ 17 #define TENSORFLOW_LITE_DELEGATES_GPU_COMMON_TENSOR_H_ 18 19 #include <stdint.h> 20 21 #include <vector> 22 23 #include "tensorflow/lite/delegates/gpu/common/data_type.h" 24 #include "tensorflow/lite/delegates/gpu/common/shape.h" 25 26 namespace tflite { 27 namespace gpu { 28 namespace internal_tensor { 29 30 // Meta function given element type returns a type for Tensor data container. 31 template <DataType Type> 32 struct StorageType; 33 34 template <> 35 struct StorageType<DataType::FLOAT32> { 36 using value = std::vector<float>; 37 }; 38 39 template <> 40 struct StorageType<DataType::INT32> { 41 using value = std::vector<int32_t>; 42 }; 43 44 template <> 45 struct StorageType<DataType::INT16> { 46 using value = std::vector<int16_t>; 47 }; 48 49 template <> 50 struct StorageType<DataType::INT8> { 51 using value = std::vector<int8_t>; 52 }; 53 54 template <> 55 struct StorageType<DataType::UINT32> { 56 using value = std::vector<uint32_t>; 57 }; 58 59 template <> 60 struct StorageType<DataType::UINT16> { 61 using value = std::vector<uint16_t>; 62 }; 63 64 template <> 65 struct StorageType<DataType::UINT8> { 66 using value = std::vector<uint8_t>; 67 }; 68 69 template <> 70 struct StorageType<DataType::BOOL> { 71 using value = std::vector<uint8_t>; 72 }; 73 74 } // namespace internal_tensor 75 76 template <typename ShapeT, DataType Type> 77 struct Tensor { 78 using ShapeType = ShapeT; 79 80 constexpr static DataType kType = Type; 81 82 using TensorStorageType = typename internal_tensor::StorageType<Type>::value; 83 84 // Opaque id of a tensor. 85 int64_t id = -1; 86 87 ShapeType shape; 88 89 TensorStorageType data; 90 }; 91 92 // TensorRef is a reference to another tensor. If an object should never hold 93 // tensor data, then TensorRef should be used instead. 94 template <typename ShapeT> 95 struct TensorRef { 96 using ShapeType = ShapeT; 97 98 DataType type = DataType::UNKNOWN; 99 100 ShapeT shape; 101 102 // Opaque reference to a tensor. Upstream component is responsible for 103 // resolving this reference into an actual tensor. 104 int64_t ref = -1; 105 106 // Specifies if the tensor should be a variable input tensor that must be an 107 // output as well as an input to the graph. 108 bool is_variable_input = false; 109 }; 110 111 template <typename ShapeT, DataType Type> 112 constexpr DataType Tensor<ShapeT, Type>::kType; 113 114 template <typename ShapeT, DataType Type> 115 Tensor<ShapeT, Type> MakeZeroTensor(const ShapeT& shape) { 116 Tensor<ShapeT, Type> tensor; 117 tensor.shape = shape; 118 tensor.data = typename Tensor<ShapeT, Type>::TensorStorageType( 119 shape.DimensionsProduct(), 0); 120 return tensor; 121 } 122 123 using TensorFloat32 = Tensor<BHWC, DataType::FLOAT32>; 124 using Tensor5DFloat32 = Tensor<BHWDC, DataType::FLOAT32>; 125 126 } // namespace gpu 127 } // namespace tflite 128 129 #endif // TENSORFLOW_LITE_DELEGATES_GPU_COMMON_TENSOR_H_ 130