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.
94 lines
3.8 KiB
94 lines
3.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
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. */
|
|
|
|
#ifndef HL_WARPCTC_WRAP_H_
|
|
#define HL_WARPCTC_WRAP_H_
|
|
|
|
#include "ctc.h"
|
|
#include "hl_base.h"
|
|
|
|
typedef ctcStatus_t hl_warpctc_status_t;
|
|
typedef ctcOptions hl_warpctc_options_t;
|
|
|
|
/**
|
|
* @brief Init ctc options.
|
|
*
|
|
* @param[in] blank blank label used in ctc loss function.
|
|
* @param[in] useGpu whether use gpu.
|
|
* @param[out] options handle to store cpu or gpu informations.
|
|
*
|
|
*/
|
|
extern void hl_warpctc_init(const size_t blank,
|
|
bool useGpu,
|
|
hl_warpctc_options_t* options);
|
|
|
|
/**
|
|
* @brief Compute the connectionist temporal classification loss,
|
|
* and optionally compute the gradient with respect to the inputs.
|
|
*
|
|
* if batchGrad == nullptr
|
|
*
|
|
* only compute the ctc loss.
|
|
*
|
|
* if batchGrad != nullptr
|
|
*
|
|
* compute both ctc loss and gradient.
|
|
*
|
|
* @param[in] batchInput batch matrix of input probabilities,
|
|
* in maxSequenceLength x numSequence x numClasses
|
|
* (row-major) format.
|
|
* @param[out] batchGrad batch matrix of gradient.
|
|
* @param[in] cpuLabels labels always in CPU memory.
|
|
* @param[in] cpuLabelLengths length of all labels in CPU memory.
|
|
* @param[in] cpuInputLengths length of all sequences in CPU memory.
|
|
* @param[in] numClasses number of possible output symbols.
|
|
* @param[in] numSequences number of sequence.
|
|
* @param[out] cpuCosts cost of each sequence in CPU memory.
|
|
* @param[out] workspace workspace to store some temporary results.
|
|
* @param[in] options handle to store cpu or gpu informations.
|
|
*
|
|
*/
|
|
extern void hl_warpctc_compute_loss(const real* batchInput,
|
|
real* batchGrad,
|
|
const int* cpuLabels,
|
|
const int* cpuLabelLengths,
|
|
const int* cpuInputLengths,
|
|
const size_t numClasses,
|
|
const size_t numSequences,
|
|
real* cpuCosts,
|
|
void* workspace,
|
|
hl_warpctc_options_t* options);
|
|
|
|
/**
|
|
* @brief Compute the required workspace size.
|
|
* There is no memory allocated operations within warp-ctc.
|
|
*
|
|
* @param[in] cpuLabelLengths length of all labels in CPU memory.
|
|
* @param[in] cpuInputLengths length of all sequences in CPU memory.
|
|
* @param[in] numClasses number of possible output symbols.
|
|
* @param[in] numSequences number of sequence.
|
|
* @param[in] options handle to store cpu or gpu informations.
|
|
* @param[out] bytes pointer to a scalar where the memory
|
|
* requirement in bytes will be placed.
|
|
*
|
|
*/
|
|
extern void hl_warpctc_get_workspace_size(const int* cpuLabelLengths,
|
|
const int* cpuInputLengths,
|
|
const size_t numClasses,
|
|
const size_t numSequences,
|
|
hl_warpctc_options_t* options,
|
|
size_t* bytes);
|
|
|
|
#endif // HL_WARPCTC_WRAP_H_
|