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- [STABLE] Add `mindspore.callback.History` and `mindspore.callback.LambdaCallback` in Callback.
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- [BETA] Support custom operator implemented by Julia operator.
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- [STABLE] Support accessing attributes and methods of user-defined classes through `mindspore.ms_class` class decorator.
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- [STABLE] Support training when a network has side effect operations and control flow statements at the same time.
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- [STABLE] Support training when a network has side effect operations and control flow statements at the same time.
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- [STABLE] Support for more complex control flow syntax, such as a for loop statement in the body of a while loop.
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- [STABLE] Improve the performance of networks with complex syntax control flow statements by decreasing the num of subgraphs.
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- [STABLE] Support AdaSum optimizer in the parallel mode.
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- [STABLE] Support automatic optimizer state parallel.
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- [STABLE] Support AlltoAll configurable. Support automatically add virtualdataset cell.
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- [STABLE] Support automatically infer trainable parameters in pipeline parallel training.
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- [STABLE] Support automatically inference trainable parameters in pipeline parallel training.
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- [STABLE] Support clusters where the device number is not the power of 2.
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- [STABLE] Support sharding propagation in auto parallel mode.
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- [STABLE] Support sharding propagation in auto-parallel mode.
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- [STABLE] Support optimizer offload under the unified runtime.
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- [STABLE] Support Adafactor operator on CPU.
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- [STABLE] Support sharding at H/W axis for Conv2d/Conv2DTranspose operator. Support operators such as ResizeBilinear,ROIAlign, CropAndResize, BoundingBoxEncode, IOU and RandomChoiceWithMask.
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[View English](./RELEASE.md)
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# MindSpore Release Notes
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# MindSpore 1.7.0
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[View English](./RELEASE.md)
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## MindSpore 1.7.0 Release Notes
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