43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
/* Copyright 2019 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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#ifndef TENSORFLOW_LITE_KERNELS_CPU_BACKEND_GEMM_EIGEN_H_
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#define TENSORFLOW_LITE_KERNELS_CPU_BACKEND_GEMM_EIGEN_H_
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#ifndef TFLITE_WITH_RUY
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#include "tensorflow/lite/kernels/cpu_backend_context.h"
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#include "tensorflow/lite/kernels/cpu_backend_gemm_params.h"
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namespace tflite {
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namespace cpu_backend_gemm {
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namespace detail {
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struct GemmImplUsingEigen {
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static void Run(const MatrixParams<float>& lhs_params, const float* lhs_data,
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const MatrixParams<float>& rhs_params, const float* rhs_data,
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const MatrixParams<float>& dst_params, float* dst_data,
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const GemmParams<float, float>& params,
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CpuBackendContext* /* context */);
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};
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} // namespace detail
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} // namespace cpu_backend_gemm
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} // namespace tflite
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#endif // not TFLITE_WITH_RUY
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#endif // TENSORFLOW_LITE_KERNELS_CPU_BACKEND_GEMM_EIGEN_H_
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