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Diffstat (limited to 'tensorflow/compiler/xla/service/cpu/runtime_conv2d_impl.h')
| -rw-r--r-- | tensorflow/compiler/xla/service/cpu/runtime_conv2d_impl.h | 87 |
1 files changed, 87 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/service/cpu/runtime_conv2d_impl.h b/tensorflow/compiler/xla/service/cpu/runtime_conv2d_impl.h new file mode 100644 index 0000000000..02f45fee0f --- /dev/null +++ b/tensorflow/compiler/xla/service/cpu/runtime_conv2d_impl.h @@ -0,0 +1,87 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +==============================================================================*/ +#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_CPU_RUNTIME_CONV2D_IMPL_H_ +#define TENSORFLOW_COMPILER_XLA_SERVICE_CPU_RUNTIME_CONV2D_IMPL_H_ + +#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" +#include "tensorflow/core/kernels/eigen_spatial_convolutions.h" +#include "tensorflow/core/platform/types.h" + +// 'tensorflow' namespace is used so that int64 and other types don't require +// qualification. +namespace tensorflow { +namespace xla { + +template <typename EigenDevice> +void EigenConvF32Impl(const EigenDevice& device, float* out, float* lhs, + float* rhs, int64 input_batch, int64 input_rows, + int64 input_cols, int64 input_channels, int64 kernel_rows, + int64 kernel_cols, int64 kernel_channels, + int64 kernel_filters, int64 output_rows, + int64 output_cols, int64 row_stride, int64 col_stride, + int64 padding_top, int64 padding_bottom, + int64 padding_left, int64 padding_right, + int64 lhs_row_dilation, int64 lhs_col_dilation, + int64 rhs_row_dilation, int64 rhs_col_dilation) { + const Eigen::TensorMap<Eigen::Tensor<const float, 4, Eigen::RowMajor>, + Eigen::Aligned> + input(lhs, input_batch, input_rows, input_cols, input_channels); + + const Eigen::TensorMap<Eigen::Tensor<const float, 4, Eigen::RowMajor>, + Eigen::Aligned> + kernel(rhs, kernel_rows, kernel_cols, kernel_channels, kernel_filters); + + Eigen::TensorMap<Eigen::Tensor<float, 4, Eigen::RowMajor>, Eigen::Aligned> + output(out, input_batch, output_rows, output_cols, kernel_filters); + + Eigen::array<Eigen::IndexPair<int64>, 1> contract_dims; + contract_dims[0] = Eigen::IndexPair<int64>(1, 0); + + // Molds the output of the patch extraction code into a 2d tensor: + // - the first dimension (dims[0]): the patch values to be multiplied with the + // kernels + // - the second dimension (dims[1]): everything else + Eigen::DSizes<int64, 2> pre_contract_dims; + pre_contract_dims[0] = output_cols * output_rows * input_batch; + pre_contract_dims[1] = kernel_channels * kernel_cols * kernel_rows; + + // Molds the output of the contraction into the shape expected by the user: + Eigen::DSizes<int64, 4> post_contract_dims; + post_contract_dims[0] = input_batch; + post_contract_dims[1] = output_rows; + post_contract_dims[2] = output_cols; + post_contract_dims[3] = kernel_filters; + + Eigen::DSizes<int64, 2> kernel_dims; + kernel_dims[0] = kernel_channels * kernel_cols * kernel_rows; + kernel_dims[1] = kernel_filters; + + // The row and column dimensions must be flipped when passed to Eigen. + output.device(device) = + input + .extract_image_patches(kernel_cols, kernel_rows, col_stride, + row_stride, rhs_col_dilation, rhs_row_dilation, + lhs_col_dilation, lhs_row_dilation, + padding_left, padding_right, padding_top, + padding_bottom, 0.0f) + .reshape(pre_contract_dims) + .contract(kernel.reshape(kernel_dims), contract_dims) + .reshape(post_contract_dims); +} + +} // namespace xla +} // namespace tensorflow + +#endif // TENSORFLOW_COMPILER_XLA_SERVICE_CPU_RUNTIME_CONV2D_IMPL_H_ |