forked from mindspore-Ecosystem/mindspore
fix r1.8 release note bugs
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RELEASE.md
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RELEASE.md
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### Major Features and Improvements
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#### OS
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- [STABLE] Support Python 3.8(Linux/Windows/Mac).
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- [STABLE] Installation improved with more detailed install guide and automated shell scripts.
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- [STABLE] Support operator computing with multi-thread under Windows.
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- [STABLE] Compatible with GCC from version 7.3 to 9.x.
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#### FrontEnd
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- [BETA] Add `mindspore.Model.fit` API, add `mindspore.callback.EarlyStopping` and `mindspore.callback.ReduceLROnPlateau` in Callback.
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- [STABLE] Fix a bug where the flat_map method of the Dataset class does not flatten the result.
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- [STABLE] Unify import paths of dataset augmentation APIs to provide more easier way to use, refer to [latest api usages](https://www.mindspore.cn/docs/en/master/api_python/mindspore.dataset.vision.html).
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#### GraphKernel Fusion
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#### Federated Learning
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#### Debug
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### API Change
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#### Backwards Incompatible Change
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##### Python API
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- Deprecated usage: `import mindspore.dataset.engine.datasets as ds`. Use `import mindspore.dataset as ds` instead as recommended in [mindspore doc](https://www.mindspore.cn/docs/api/zh-CN/master/api_python/mindspore.dataset.html).
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- Add `mindspore.ms_class` interface, as class decorator for user-defined classes. It allows MindSpore to identify user-defined classes and access their attributes and methods([!30855](https://gitee.com/mindspore/mindspore/pulls/30855))
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- Deprecate `mindspore.SparseTensor` and use `mindspore.COOTensor` instead. ([!28505]())
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- Add Tensor init arg `internal` for internal use.
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- DVPP simulation algorithm is no longer supported, remove `mindspore.dataset.vision.c_transforms.SoftDvppDecodeRandomCropResizeJpeg` and `mindspore.dataset.vision.c_transforms.SoftDvppDecodeResizeJpeg` interfaces.
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- MindSpore's QAT feature is refactoring, and corresponding interfaces under the `mindspore.compression` package have been removed ([!31364]()). We will re-provide MindSpore's QAT feature based on MindSpore Rewrite in version r1.8, which is currently in the demo state ([!30974]()).
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- Add `on_train_epoch_end` method in LossMonitor to print metric information when LossMonitor is used with `mindspore.Model.fit`.
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- Add "train" or "eval" mode in the print content of TimeMonitor。
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- The input arg `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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@ -174,6 +156,7 @@ Contributions of any kind are welcome!
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- Deprecated usage: `import mindspore.dataset.engine.datasets as ds`. Use `import mindspore.dataset as ds` instead as recommended in [mindspore doc](https://www.mindspore.cn/docs/en/master/api_python/mindspore.dataset.html).
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- Add `mindspore.ms_class` interface, as class decorator for user-defined classes. It allows MindSpore to identify user-defined classes and access their attributes and methods([!30855](https://gitee.com/mindspore/mindspore/pulls/30855))
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- Deprecate `mindspore.SparseTensor` and use `mindspore.COOTensor` instead. ([!28505](https://gitee.com/mindspore/mindspore/pulls/28505))
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- Add Tensor init arg `internal` for internal use.
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## MindSpore Lite
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@ -12,6 +12,7 @@
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- [BETA] 提供`mindspore.Model.fit` API，增加两种callback方法 `mindspore.callback.EarlyStopping` 和 `mindspore.callback.ReduceLROnPlateau`。
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- [BETA] 自定义算子支持Julia算子。
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- [BETA] 自定义算子支持Hybrid DSL算子。
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- [STABLE] export()接口支持自定义加密算法导出模型，load()接口支持自定义解密算法导入模型。
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- [BETA] [动静统一] [易用性] 图编译支持常量类型设置可变(1.8版本支持tuple/list/dict)。
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- [BETA] [动静统一] 常量场景下控制流内支持JIT Fallback功能。
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##### Python API
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- 修改register_backward_hook功能对应hook的梯度返回值类型，将梯度返回值统一改成tuple类型。([!31876](https://gitee.com/mindspore/mindspore/pulls/31876))
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- 弃用的import用法： `import mindspore.dataset.engine.datasets as ds` ，因其import目录过深且过度依赖Python目录结构。推荐使用官方推荐用法 `import mindspore.dataset as ds` ，更多参考详见 [API文档](https://www.mindspore.cn/docs/api/zh-CN/master/api_python/mindspore.dataset.html).
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- 新增`mindspore.ms_class` 接口，作为用户自定义类的类装饰器，使得MindSpore能够识别用户自定义类，并且获取这些类的属性和方法。([!30855](https://gitee.com/mindspore/mindspore/pulls/30855))
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- `mindspore.SparseTensor`接口废弃使用，对应新接口为`mindspore.COOTensor`. ([!28505]())
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- Tensor新增一个入参`internal`，作为框架内部使用。
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- 不再支持DVPP模拟算法，删除 `mindspore.dataset.vision.c_transforms.SoftDvppDecodeRandomCropResizeJpeg` 和 `mindspore.dataset.vision.c_transforms.SoftDvppDecodeResizeJpeg` 接口。
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- LossMonitor中增加`on_train_epoch_end` 方法，实现在 `mindspore.Model.fit` 中使用时，打印epoch级别的metric信息。
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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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