Delete 'mindspore2022/ccsrc/minddata/mindrecord/include/meta/shard_sequential_sample.cc'

This commit is contained in:
saltyfish 2022-10-17 21:57:31 +08:00
parent 893d492d65
commit 32ebd95cd0
1 changed files with 0 additions and 71 deletions

View File

@ -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