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_KERNELS_BROADCAST_TO_OP_H_ 17 #define TENSORFLOW_CORE_KERNELS_BROADCAST_TO_OP_H_ 18 19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 20 #include "tensorflow/core/framework/op_kernel.h" 21 #include "tensorflow/core/framework/tensor.h" 22 #include "tensorflow/core/framework/tensor_shape.h" 23 #include "tensorflow/core/framework/tensor_types.h" 24 #include "tensorflow/core/framework/types.h" 25 #include "tensorflow/core/kernels/fill_functor.h" 26 #include "tensorflow/core/util/bcast.h" 27 28 namespace tensorflow { 29 30 namespace functor { 31 32 template <typename Device, typename T> 33 struct BroadcastTo { 34 template <int NDIMS> DoBCast32BitBroadcastTo35 void DoBCast32Bit(const Device &device, typename TTypes<T, NDIMS>::Tensor out, 36 typename TTypes<T, NDIMS>::ConstTensor in, 37 const typename Eigen::array<int, NDIMS> &bcast) const { 38 To32Bit(out).device(device) = To32Bit(in).broadcast(bcast); 39 } 40 41 template <int NDIMS> DoBCastBroadcastTo42 void DoBCast( 43 const Device &device, typename TTypes<T, NDIMS>::Tensor out, 44 typename TTypes<T, NDIMS>::ConstTensor in, 45 const typename Eigen::array<Eigen::DenseIndex, NDIMS> &bcast) const { 46 out.device(device) = in.broadcast(bcast); 47 } 48 49 template <int NDIMS> ReshapeAndBCastBroadcastTo50 void ReshapeAndBCast(const Device &device, Tensor &output_tensor, 51 const Tensor &input_tensor, const BCast &bcast) const { 52 const bool can_use_32bit = std::is_same<Eigen::GpuDevice, Device>::value && 53 output_tensor.NumElements() < kint32max && 54 input_tensor.NumElements() < kint32max; 55 if (can_use_32bit) { 56 DoBCast32Bit<NDIMS>( 57 device, output_tensor.template shaped<T, NDIMS>(bcast.result_shape()), 58 input_tensor.template shaped<T, NDIMS>(bcast.x_reshape()), 59 BCast::ToIndexArrayType<int, NDIMS>(bcast.x_bcast())); 60 } else { 61 DoBCast<NDIMS>( 62 device, output_tensor.template shaped<T, NDIMS>(bcast.result_shape()), 63 input_tensor.template shaped<T, NDIMS>(bcast.x_reshape()), 64 BCast::ToIndexArrayType<Eigen::DenseIndex, NDIMS>(bcast.x_bcast())); 65 } 66 } 67 68 // PRECONDITION: rank(input_shape) > 0 && 69 // rank(input_shape) <= rank(output_shape) && 70 // output_shape.num_elements() > 0. operatorBroadcastTo71 void operator()(const Device &device, OpKernelContext *ctx, 72 Tensor &output_tensor, const TensorShape &output_shape, 73 const Tensor &input_tensor, const TensorShape &input_shape, 74 const BCast &bcast) const { 75 const int ndims = bcast.y_reshape().size(); 76 switch (ndims) { 77 case 1: 78 ReshapeAndBCast<1>(device, output_tensor, input_tensor, bcast); 79 break; 80 case 2: 81 ReshapeAndBCast<2>(device, output_tensor, input_tensor, bcast); 82 break; 83 case 3: 84 ReshapeAndBCast<3>(device, output_tensor, input_tensor, bcast); 85 break; 86 case 4: 87 ReshapeAndBCast<4>(device, output_tensor, input_tensor, bcast); 88 break; 89 case 5: 90 ReshapeAndBCast<5>(device, output_tensor, input_tensor, bcast); 91 break; 92 default: 93 ctx->SetStatus(errors::Unimplemented( 94 "Broadcast between ", input_shape.DebugString(), " and ", 95 output_shape.DebugString(), " is not supported yet.")); 96 break; 97 } 98 } 99 }; 100 101 } // namespace functor 102 } // namespace tensorflow 103 104 #endif // TENSORFLOW_CORE_KERNELS_BROADCAST_TO_OP_H_ 105