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109 lines
2.9 KiB
109 lines
2.9 KiB
/* Copyright (c) 2016 PaddlePaddle 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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#pragma once
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <cub/cub.cuh> // NOLINT
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#include "paddle/fluid/platform/device_context.h"
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#include "paddle/fluid/platform/float16.h"
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namespace paddle {
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namespace operators {
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namespace math {
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template <typename T>
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struct CUDATypeTraits;
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#ifdef SUPPORTS_CUDA_FP16
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template <>
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struct CUDATypeTraits<half> {
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typedef platform::float16 TYPE;
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};
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#endif
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template <>
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struct CUDATypeTraits<float> {
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typedef float TYPE;
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};
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#ifdef PADDLE_WITH_CUDA
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// This functor involves a fusion calculation in Ernie or Bert.
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// The fusion mode is as follows:
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//
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// in_var emb in_var emb
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// | | | |
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// lookup_table lookup_table
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// | |
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// lkt_var lkt_var
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// \ /
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// elementwise_add
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// |
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// elt_out_var
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//
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template <typename T>
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class EmbEltwiseLayerNormFunctor {
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public:
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void operator()(int batch, int seq_len, int hidden, const int64_t *ids,
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const float *scale, const float *bias, const int64_t *embs,
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T *output, float eps, int input_num, cudaStream_t stream);
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};
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// This functor involves a fusion calculation in Ernie or Bert.
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// The fusion mode is as follows:
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//
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// | |
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// matmul
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// |
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// eltwise_add
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// |
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// softmax /
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// \ /
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// matmul
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// |
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template <typename T>
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class MultiHeadGPUComputeFunctor {
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public:
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void operator()(const platform::CUDADeviceContext &dev_ctx, int batch,
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int seq_len, int head_num, int head_size, T *qkptr,
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const T *bias_qk_ptr, T *tptr, T alpha, T beta);
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};
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// This functor involves a fusion calculation in Ernie or Bert.
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// The fusion mode is as follows:
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//
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// | |
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// other_op1 other_op2
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// | |
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// |------elementwise_add
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// |
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// layer_norm
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// |
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// other_op3
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// |
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template <typename T>
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class SkipLayerNormFunctor {
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public:
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void operator()(const int num, const int hidden, const T *input1,
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const T *input2, const float *scale, const float *bias,
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T *output, T eps, cudaStream_t stream);
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};
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#endif
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} // namespace math
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} // namespace operators
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} // namespace paddle
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