46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
/*
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* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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#pragma once
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#ifndef TENSORFLOW_CORE_KERNELS_MULTIHEADATTR_OP_H_
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#define TENSORFLOW_CORE_KERNELS_MULTIHEADATTR_OP_H_
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#include "fastertransformer/common.h"
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#include "fastertransformer/faster_transformer.h"
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#include "fastertransformer/tf_op/tf_traits.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/framework/types.h"
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#include "tensorflow/core/framework/tensor_types.h"
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#include "tensorflow/core/lib/core/errors.h"
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#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
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#include <cublas_v2.h>
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using namespace fastertransformer;
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namespace tensorflow
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{
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namespace functor
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{
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template <typename Device, typename T>
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struct BertTransformerOpFunctor
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{
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typedef typename TFTraits<T>::DataType DataType_;
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static Status Compute(OpKernelContext *context,
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EncoderInitParam<DataType_ > param,
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BertEncoderTransformer<BertEncoderTransformerTraits< TFTraits<T>::OpType,
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cuda::OpenMultiHeadAttention > > *encoder_transformer);
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};
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} //namespace functor
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} //namespace tensorflow
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#endif
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