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 #define EIGEN_USE_THREADS 17 #include "tensorflow/core/kernels/tensor_array.h" 18 19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 20 #include "tensorflow/core/framework/register_types.h" 21 #include "tensorflow/core/kernels/aggregate_ops_cpu.h" 22 23 namespace tensorflow { 24 25 typedef Eigen::ThreadPoolDevice CPUDevice; 26 typedef Eigen::GpuDevice GPUDevice; 27 28 namespace tensor_array { 29 30 #define TENSOR_ARRAY_WRITE_OR_ADD(Device, T) \ 31 template <> \ 32 Status AddToTensor<Device, T>(OpKernelContext * ctx, Tensor * sum, \ 33 const Tensor* current, const Tensor* add) { \ 34 functor::Add2Functor<Device, T> add_functor; \ 35 add_functor(ctx->template eigen_device<Device>(), sum->flat<T>(), \ 36 current->flat<T>(), add->flat<T>()); \ 37 return Status::OK(); \ 38 } 39 40 #define TENSOR_ARRAY_WRITE_OR_ADD_CPU(T) TENSOR_ARRAY_WRITE_OR_ADD(CPUDevice, T) 41 TF_CALL_NUMBER_TYPES(TENSOR_ARRAY_WRITE_OR_ADD_CPU) 42 #undef TENSOR_ARRAY_WRITE_OR_ADD_CPU 43 44 #if GOOGLE_CUDA 45 46 #define TENSOR_ARRAY_WRITE_OR_ADD_GPU(T) TENSOR_ARRAY_WRITE_OR_ADD(GPUDevice, T) 47 TF_CALL_GPU_NUMBER_TYPES(TENSOR_ARRAY_WRITE_OR_ADD_GPU); 48 TF_CALL_complex64(TENSOR_ARRAY_WRITE_OR_ADD_GPU); 49 TF_CALL_complex128(TENSOR_ARRAY_WRITE_OR_ADD_GPU); 50 #undef TENSOR_ARRAY_WRITE_OR_ADD_GPU 51 52 #endif // GOOGLE_CUDA 53 54 #undef TENSOR_ARRAY_WRITE_OR_ADD 55 56 #define TENSOR_ARRAY_SET_ZERO(Device, T) \ 57 template <> \ 58 Status TensorSetZero<Device, T>(OpKernelContext * ctx, Tensor * value) { \ 59 functor::SetZeroFunctor<Device, T> set_zero_functor; \ 60 set_zero_functor(ctx->template eigen_device<Device>(), value->flat<T>()); \ 61 return Status::OK(); \ 62 } 63 64 #define TENSOR_ARRAY_SET_ZERO_CPU(T) TENSOR_ARRAY_SET_ZERO(CPUDevice, T) 65 TF_CALL_NUMBER_TYPES(TENSOR_ARRAY_SET_ZERO_CPU) 66 #undef TENSOR_ARRAY_SET_ZERO_CPU 67 68 #if GOOGLE_CUDA 69 70 #define TENSOR_ARRAY_SET_ZERO_GPU(T) TENSOR_ARRAY_SET_ZERO(GPUDevice, T) 71 TF_CALL_GPU_NUMBER_TYPES(TENSOR_ARRAY_SET_ZERO_GPU); 72 TF_CALL_complex64(TENSOR_ARRAY_SET_ZERO_GPU); 73 TF_CALL_complex128(TENSOR_ARRAY_SET_ZERO_GPU); 74 #undef TENSOR_ARRAY_SET_ZERO_GPU 75 76 #endif // GOOGLE_CUDA 77 78 #undef TENSOR_ARRAY_SET_ZERO 79 80 } // namespace tensor_array 81 82 std::atomic<int64> TensorArray::tensor_array_counter{0}; 83 84 Status TensorArray::CopyShapesFrom(TensorArray* rhs) { 85 mutex_lock l(mu_); 86 mutex_lock l_rhs(rhs->mu_); 87 TF_RETURN_IF_ERROR(LockedReturnIfClosed()); 88 TF_RETURN_IF_ERROR(rhs->LockedReturnIfClosed()); 89 if (tensors_.size() != rhs->tensors_.size()) { 90 return errors::InvalidArgument( 91 "TensorArray sizes do not match during CopyShapesFrom: ", 92 handle_.vec<string>()(1), " has size ", tensors_.size(), " but rhs ", 93 rhs->handle_.vec<string>()(1), " has size ", rhs->tensors_.size()); 94 } 95 for (std::size_t i = 0; i < tensors_.size(); ++i) { 96 // Skip "soft copy" of indices which have not been written. 97 if (!rhs->tensors_[i].written) continue; 98 99 // Copy the shape over. 100 tensors_[i].shape = rhs->tensors_[i].shape; 101 // Mark as written. Reads will know that if written is true and 102 // read is false, and cleared is false, to return zeros of the 103 // appropriate shape. Future aggregating writes will only use the shape 104 // for validation. 105 tensors_[i].written = true; 106 } 107 108 return Status::OK(); 109 } 110 111 } // namespace tensorflow 112
