You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
116 lines
3.1 KiB
116 lines
3.1 KiB
/* Copyright (c) 2016 PaddlePaddle 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. */
|
|
|
|
#pragma once
|
|
|
|
#ifdef PADDLE_WITH_CUDA
|
|
#include <cuda.h>
|
|
#include <cuda_runtime.h>
|
|
#include <cub/cub.cuh> // NOLINT
|
|
#endif
|
|
#ifdef PADDLE_WITH_HIP
|
|
#include <hip/hip_runtime.h>
|
|
#include <hipcub/hipcub.hpp>
|
|
namespace cub = hipcub;
|
|
#endif
|
|
|
|
#include "paddle/fluid/platform/device_context.h"
|
|
#include "paddle/fluid/platform/float16.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
namespace math {
|
|
|
|
template <typename T>
|
|
struct CUDATypeTraits;
|
|
|
|
template <>
|
|
struct CUDATypeTraits<half> {
|
|
typedef platform::float16 TYPE;
|
|
};
|
|
|
|
template <>
|
|
struct CUDATypeTraits<float> {
|
|
typedef float TYPE;
|
|
};
|
|
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
// This functor involves a fusion calculation in Ernie or Bert.
|
|
// The fusion mode is as follows:
|
|
//
|
|
// in_var emb in_var emb
|
|
// | | | |
|
|
// lookup_table lookup_table
|
|
// | |
|
|
// lkt_var lkt_var
|
|
// \ /
|
|
// elementwise_add
|
|
// |
|
|
// elt_out_var
|
|
//
|
|
template <typename T>
|
|
class EmbEltwiseLayerNormFunctor {
|
|
public:
|
|
void operator()(int batch, int seq_len, int hidden, const int64_t *ids,
|
|
const float *scale, const float *bias, const int64_t *embs,
|
|
T *output, float eps, int input_num, gpuStream_t stream);
|
|
};
|
|
|
|
// This functor involves a fusion calculation in Ernie or Bert.
|
|
// The fusion mode is as follows:
|
|
//
|
|
// | |
|
|
// matmul
|
|
// |
|
|
// eltwise_add
|
|
// |
|
|
// softmax /
|
|
// \ /
|
|
// matmul
|
|
// |
|
|
|
|
template <typename T>
|
|
class MultiHeadGPUComputeFunctor {
|
|
public:
|
|
void operator()(const platform::CUDADeviceContext &dev_ctx, int batch,
|
|
int seq_len, int head_num, int head_size, T *qkptr,
|
|
const T *bias_qk_ptr, T *tptr, T alpha, T beta);
|
|
};
|
|
|
|
// This functor involves a fusion calculation in Ernie or Bert.
|
|
// The fusion mode is as follows:
|
|
//
|
|
// | |
|
|
// other_op1 other_op2
|
|
// | |
|
|
// |------elementwise_add
|
|
// |
|
|
// layer_norm
|
|
// |
|
|
// other_op3
|
|
// |
|
|
|
|
template <typename T>
|
|
class SkipLayerNormFunctor {
|
|
public:
|
|
void operator()(const int num, const int hidden, const T *input1,
|
|
const T *input2, const float *scale, const float *bias,
|
|
T *output, T eps, gpuStream_t stream);
|
|
};
|
|
#endif
|
|
|
|
} // namespace math
|
|
} // namespace operators
|
|
} // namespace paddle
|