1 /* Copyright 2015 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_CORE_FRAMEWORK_NUMERIC_OP_H_ 17 #define TENSORFLOW_CORE_FRAMEWORK_NUMERIC_OP_H_ 18 19 #include "tensorflow/core/framework/op_kernel.h" 20 #include "tensorflow/core/framework/tensor.h" 21 #include "tensorflow/core/framework/types.h" 22 #include "tensorflow/core/framework/types.pb.h" 23 #include "tensorflow/core/lib/core/errors.h" 24 #include "tensorflow/core/lib/core/status.h" 25 26 namespace tensorflow { 27 28 // One input and one output, both the same type. 29 template <class T> 30 class UnaryOp : public OpKernel { 31 public: UnaryOp(OpKernelConstruction * context)32 explicit UnaryOp(OpKernelConstruction* context) : OpKernel(context) { 33 const DataType dt = DataTypeToEnum<T>::v(); 34 OP_REQUIRES_OK(context, context->MatchSignature({dt}, {dt})); 35 } 36 }; 37 38 // Two inputs and one output, all the same type. 39 template <class T> 40 class BinaryOp : public OpKernel { 41 public: BinaryOp(OpKernelConstruction * context)42 explicit BinaryOp(OpKernelConstruction* context) : OpKernel(context) { 43 const DataType dt = DataTypeToEnum<T>::v(); 44 OP_REQUIRES_OK(context, context->MatchSignature({dt, dt}, {dt})); 45 } 46 }; 47 48 // For operations where the input and output are the same shape. 49 // 50 // For usage, see ../framework/elementwise_ops.cc. 51 template <class T, class CHILD> 52 class UnaryElementWiseOp : public UnaryOp<T> { 53 public: 54 using UnaryOp<T>::UnaryOp; 55 Compute(OpKernelContext * context)56 void Compute(OpKernelContext* context) override { 57 // Output shape is the same as input shape. 58 const Tensor& input = context->input(0); 59 Tensor* output = nullptr; 60 OP_REQUIRES_OK(context, context->forward_input_or_allocate_output( 61 {0}, 0, input.shape(), &output)); 62 static_cast<CHILD*>(this)->Operate(context, input, output); 63 } 64 }; 65 66 // For binary elementwise operations. 67 template <class T, class CHILD> 68 class BinaryElementWiseOp : public BinaryOp<T> { 69 public: 70 using BinaryOp<T>::BinaryOp; 71 Compute(OpKernelContext * context)72 void Compute(OpKernelContext* context) override { 73 const Tensor& a = context->input(0); 74 const Tensor& b = context->input(1); 75 76 if (!context->ValidateInputsAreSameShape(this)) { 77 return; 78 } 79 80 Tensor* output = nullptr; 81 OP_REQUIRES_OK(context, context->forward_input_or_allocate_output( 82 {0, 1}, 0, a.shape(), &output)); 83 84 // Dispatch to the descendant's Operate() function. 85 switch (a.dims()) { 86 #define NDIM_CASE(NDIMS) \ 87 case NDIMS: { \ 88 static_cast<CHILD*>(this)->template Operate<NDIMS>(context, a, b, output); \ 89 break; \ 90 } 91 92 NDIM_CASE(0); 93 NDIM_CASE(1); 94 NDIM_CASE(2); 95 NDIM_CASE(3); 96 NDIM_CASE(4); 97 NDIM_CASE(5); 98 NDIM_CASE(6); 99 NDIM_CASE(7); 100 NDIM_CASE(8); 101 #undef NDIM_CASE 102 103 default: 104 context->SetStatus(errors::InvalidArgument( 105 "We only handle up to Tensor::dims() up to 8, not ", a.dims())); 106 break; 107 } 108 } 109 }; 110 111 } // namespace tensorflow 112 113 #endif // TENSORFLOW_CORE_FRAMEWORK_NUMERIC_OP_H_ 114