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* Copyright (c) 2019-2023, NVIDIA CORPORATION. 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
#include "gpt_kernels.h"
#include <cuda_fp16.h>
#include <cuda_runtime.h>
namespace turbomind {
// get token from all_ids at step, then lookup from the embedding table
// by the token
template<typename T>
void invokeEmbeddingLookupPosEncodingPadCount(T* from_tensor,
const T* embedding_table,
const T* position_encoding,
const int* all_ids,
const int* padding_count,
pPromptTuningParam<T> prompt_param,
const int local_token_num,
const int hidden_units,
const T scale,
const int step,
const int token_num,
const int ite,
const int seq_len,
cudaStream_t stream);
template<typename T>
void invokeEmbeddingLookupPosEncodingPadCount(T* from_tensor,
const T* embedding_table,
const T* position_encoding,
const int* all_ids,
const int* padding_count,
const int local_token_num,
const int hidden_units,
const T scale,
const int step,
const int token_num,
const int ite,
cudaStream_t stream)
{
invokeEmbeddingLookupPosEncodingPadCount(from_tensor,
embedding_table,
position_encoding,
all_ids,
padding_count,
{(const T**)nullptr, 0, 0, false, nullptr},
local_token_num,
hidden_units,
scale,
step,
token_num,
ite,
0,
stream);
}
template<typename T>
void invokePaddingEmbedding(T* padded_embedding_kernel,
T* padded_embedding_bias,
const T* embedding_kernel,
const T* embedding_bias,
const int hidden_unit,
const int vocab_size,
const int vocab_size_padded,
cudaStream_t stream);
template<typename T>
void invokePaddingEmbeddingKernel(T* padded_embedding_kernel,
const T* embedding_kernel,
const int hidden_unit,
const int vocab_size,
const int vocab_size_padded,
cudaStream_t stream);
template<typename T>
void invokePlusScalar(T* buf, const T val, const int size, cudaStream_t stream);
} // namespace turbomind
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