mindspore.dataset.config.get_error_samples_mode

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mindspore.dataset.config.get_error_samples_mode()

Get the current strategy for processing erroneous samples in a dataset pipeline. If set_error_samples_mode has never called before, the default setting is ErrorSamplesMode.RETURN.

Returns:

ErrorSamplesMode. The method in which erroneous samples should be processed in a dataset pipeline.

  • ErrorSamplesMode.RETURN: means an erroneous sample results in an error being raised and returned.

  • ErrorSamplesMode.REPLACE: means an erroneous sample is replaced with an internally determined sample.

  • ErrorSamplesMode.SKIP: means an erroneous sample is skipped.

Examples

>>> import mindspore.dataset as ds
>>> error_samples_mode = ds.config.get_error_samples_mode()