The Definitive Guide to https://mindtorch.org/
The Definitive Guide to https://mindtorch.org/
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torch to realize that the design can help education on ascending. The support status of the higher-buy APIs Employed in the model can be found below Supported Record.
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自动并行：融合了数据并行、算子级模型并行的分布式并行模式，可以自动建立代价模型，找到训练时间较短的并行策略，为用户选择合适的并行模式。仅支持在图模式下使用。
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TorchVision interface assistance: MindTorch TorchVision is a computer eyesight Software library migrated from PyTorch's official implementation. It proceeds to employ PyTorch's Formal api structure, and phone calls MindSpore operators for calculations to accomplish the exact same features as the original torchvision library.
PyTorch interface support: MindTorch aims to aid the initial expression of PyTorch syntax, consumers just require to interchange import torch in PyTorch supply code with import mindtorch.
数据并行：对数据进行切分的并行模式，一般按照batch维度切分，将数据分配到各个计算单元中，进行模型计算。
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MSAdapter can be a MindSpore ecological adaptation Resource, which promptly migrates a few-bash framework code such as PyTorch/JAX to the MindSpore ecosystem without the need of switching the consumer's first utilization habits, serving to end users proficiently utilize the Ascend computing electricity from the China Computing Web.