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76 lines
2.4 KiB
C++
76 lines
2.4 KiB
C++
/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// TWML modified to optimize binary features
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#ifndef TENSORFLOW_CORE_KERNELS_BINARY_SPARSE_TENSOR_DENSE_MATMUL_OP_H_
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#define TENSORFLOW_CORE_KERNELS_BINARY_SPARSE_TENSOR_DENSE_MATMUL_OP_H_
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#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
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#include "tensorflow/core/framework/tensor_types.h"
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#include "tensorflow/core/framework/types.h"
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#include "tensorflow/core/lib/core/errors.h"
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namespace tensorflow {
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namespace functor {
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template <typename Device, typename T, typename Tindices, bool ADJ_A,
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bool ADJ_B>
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struct SparseTensorDenseMatMulFunctor {
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static EIGEN_ALWAYS_INLINE Status Compute(
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const Device& d, typename TTypes<T>::Matrix out,
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typename TTypes<Tindices>::ConstMatrix a_indices,
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typename TTypes<T>::ConstVec a_values, typename TTypes<T>::ConstMatrix b);
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};
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template <typename MATRIX, bool ADJ>
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class MaybeAdjoint;
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template <typename MATRIX>
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class MaybeAdjoint<MATRIX, false> {
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public:
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE MaybeAdjoint(MATRIX m) : m_(m) {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename MATRIX::Scalar operator()(
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const typename MATRIX::Index i, const typename MATRIX::Index j) const {
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return m_(i, j);
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}
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private:
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const MATRIX m_;
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};
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template <typename T>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T MaybeConj(T v) {
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return v;
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}
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template <typename MATRIX>
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class MaybeAdjoint<MATRIX, true> {
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public:
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE MaybeAdjoint(MATRIX m) : m_(m) {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename MATRIX::Scalar operator()(
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const typename MATRIX::Index i, const typename MATRIX::Index j) const {
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return Eigen::numext::conj(m_(j, i));
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}
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private:
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const MATRIX m_;
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};
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} // end namespace functor
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} // end namespace tensorflow
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#endif // TENSORFLOW_CORE_KERNELS_BINARY_SPARSE_TENSOR_DENSE_MATMUL_OP_H_
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