forked from mindspore-Ecosystem/mindspore
add api import optimization
Signed-off-by: Ting Wang <kathy.wangting@huawei.com>
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RELEASE.md
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RELEASE.md
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- TimeMonitor printing content changes, and the printed content is added to "train" or "eval" to distinguish between training and inference phases.
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- `filter_prefix` of `mindspore.load_checkpoint` interface: empty string ("") is no longer supported, and the matching rules are changed from strong matching to fuzzy matching.
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#### Import Optimization
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APIs in `mindspore.context`, `mindspore.parallel`, `mindspore.profiler` and `mindspore.train` can be directly used in `mindspore`. The original usage can still be supported.
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For examples:
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-`mindspore.context.set_context` can be simplified to `mindspore.set_context`.
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-`mindspore.parallel.set_algo_parameters` can be simplified to `mindspore.set_algo_parameters`.
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-`mindspore.profiler.Profiler` can be simplified to `mindspore.Profiler`.
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-`mindspore.train.callback.Callback` can be simplified to `mindspore.Callback`.
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The API pages are aggregated to <https://www.mindspore.cn/docs/en/master/api_python/mindspore.html>.
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## MindSpore Lite
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### Major Features and Improvements
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- TimeMonitor打印内容变更,打印内容加入"train"或"eval"用于区分训练和推理阶段。
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- load_checkpoint 接口的`filter_prefix`:不再支持空字符串(""),匹配规则由强匹配修改为模糊匹配。
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#### import优化
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mindspore.context、mindspore.parallel、mindspore.profiler、mindspore.train模块的接口可直接在mindspore模块使用。原有用法仍可以继续支持。
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例如:
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-`mindspore.context.set_context`可简化为`mindspore.set_context`。
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-`mindspore.parallel.set_algo_parameters`可简化为`mindspore.set_algo_parameters`。
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-`mindspore.profiler.Profiler`可简化为`mindspore.Profiler`。
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-`mindspore.train.callback.Callback`可简化为`mindspore.Callback`。
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API页面统一汇总至:<https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.html>。
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## MindSpore Lite
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### 主要特性和增强
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