forked from mindspore-Ecosystem/mindspore
fix: aclFinalize repeat
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@ -14,7 +14,7 @@
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#### DataSet
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- The TFRecordDataset API can directly read TFRecord files compressed by GZIP or ZLIB.
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- The NumpySliceDataset API can process data of different dimensions at the same time.
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- The NumpySlicesDataset API can process data of different dimensions at the same time.
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- Optimize the structure of error log to display more clear call stack information for debugging.
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- Fixed `mindspore.dataset.config.set_seed` does not take effect for random seeds in distributed training scenarios.
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@ -14,7 +14,7 @@
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#### DataSet
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- TFRecordDataset API支持直接读取通过GZIP或ZLIB压缩后的TFRecord文件。
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- NumpySliceDataset API支持同时处理不同维度的数据。
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- NumpySlicesDataset API支持同时处理不同维度的数据。
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- 优化错误日志信息的结构,展示更清晰的调用栈信息便于调试、定位问题。
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- 修复分布式训练场景下 `mindspore.dataset.config.set_seed` 对随机种子设置不生效的问题。
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@ -66,7 +66,7 @@ void ResourceManager::Release() {
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}
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// finalize the acl when the process exit
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ret = mindspore::AclInitAdapter::GetInstance().ForceFinalize();
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ret = mindspore::AclInitAdapter::GetInstance().AclFinalize();
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if (ret != APP_ERR_OK) {
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MS_LOG(DEBUG) << "Failed to finalize acl, ret = " << ret << ".";
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}
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