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 #if GOOGLE_CUDA 17 18 #define EIGEN_USE_GPU 19 20 #include "tensorflow/core/kernels/quantize_and_dequantize_op.h" 21 22 #include "tensorflow/core/framework/tensor_types.h" 23 #include "tensorflow/core/platform/types.h" 24 25 namespace tensorflow { 26 27 typedef Eigen::GpuDevice GPUDevice; 28 29 namespace functor { 30 template <typename T> 31 struct QuantizeAndDequantizeOneScaleFunctor<GPUDevice, T> { 32 void operator()(const GPUDevice& d, typename TTypes<T>::ConstVec input, 33 bool signed_input, int num_bits, bool range_given, 34 Tensor* input_min_tensor, Tensor* input_max_tensor, 35 typename TTypes<T>::Vec out) { 36 QuantizeAndDequantizeOneScaleImpl<GPUDevice, T>::Compute( 37 d, input, signed_input, num_bits, range_given, input_min_tensor, 38 input_max_tensor, out); 39 } 40 }; 41 } // end namespace functor 42 43 // Instantiate the GPU implementation for float and double. 44 template struct functor::QuantizeAndDequantizeOneScaleFunctor<GPUDevice, float>; 45 template struct functor::QuantizeAndDequantizeOneScaleFunctor<GPUDevice, 46 double>; 47 48 } // end namespace tensorflow 49 50 #endif // GOOGLE_CUDA 51