Delete 'mindspore2022/ccsrc/minddata/mindrecord/include/meta/shard_sequential_sample.cc'
This commit is contained in:
parent
893d492d65
commit
32ebd95cd0
|
|
@ -1,71 +0,0 @@
|
|||
/**
|
||||
* Copyright 2020-2021 Huawei Technologies Co., Ltd
|
||||
*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
#include "minddata/mindrecord/include/shard_sequential_sample.h"
|
||||
|
||||
using mindspore::LogStream;
|
||||
using mindspore::ExceptionType::NoExceptionType;
|
||||
using mindspore::MsLogLevel::ERROR;
|
||||
|
||||
namespace mindspore {
|
||||
namespace mindrecord {
|
||||
ShardSequentialSample::ShardSequentialSample(int64_t n, int64_t offset)
|
||||
: ShardSample(n), offset_(offset), per_(0.0f), per_offset_(0.0f) {}
|
||||
|
||||
ShardSequentialSample::ShardSequentialSample(float per, float per_offset)
|
||||
: ShardSample(0), offset_(0), per_(per), per_offset_(per_offset) {}
|
||||
|
||||
int64_t ShardSequentialSample::GetNumSamples(int64_t dataset_size, int64_t num_classes) {
|
||||
if (no_of_samples_ == 0 && (per_ >= -kEpsilon && per_ <= kEpsilon)) {
|
||||
return dataset_size;
|
||||
}
|
||||
if (per_ > kEpsilon && per_ <= 1.0f) {
|
||||
return dataset_size * kEpsilon;
|
||||
}
|
||||
return std::min(static_cast<int64_t>(no_of_samples_), dataset_size);
|
||||
}
|
||||
|
||||
Status ShardSequentialSample::Execute(ShardTaskList &tasks) {
|
||||
int64_t taking;
|
||||
int64_t total_no = static_cast<int64_t>(tasks.sample_ids_.size());
|
||||
if (no_of_samples_ == 0 && (per_ >= -kEpsilon && per_ <= kEpsilon)) {
|
||||
taking = total_no;
|
||||
} else if (per_ > kEpsilon && per_ <= 1.0f) {
|
||||
taking = total_no * kEpsilon;
|
||||
} else {
|
||||
taking = std::min(static_cast<int64_t>(no_of_samples_), total_no);
|
||||
}
|
||||
|
||||
if (tasks.permutation_.empty()) {
|
||||
ShardTaskList new_tasks;
|
||||
total_no = static_cast<int64_t>(tasks.Size());
|
||||
for (int64_t i = offset_; i < taking + offset_; ++i) {
|
||||
new_tasks.AssignTask(tasks, i % total_no);
|
||||
}
|
||||
ShardTaskList::TaskListSwap(tasks, new_tasks);
|
||||
} else { // shuffled
|
||||
ShardTaskList new_tasks;
|
||||
total_no = static_cast<int64_t>(tasks.permutation_.size());
|
||||
for (int64_t i = offset_; i < taking + offset_; ++i) {
|
||||
new_tasks.AssignTask(tasks, tasks.permutation_[i % total_no]);
|
||||
}
|
||||
ShardTaskList::TaskListSwap(tasks, new_tasks);
|
||||
}
|
||||
return Status::OK();
|
||||
}
|
||||
|
||||
} // namespace mindrecord
|
||||
} // namespace mindspore
|
||||
Loading…
Reference in New Issue