mindspore.dataset.DSCallback

class mindspore.dataset.DSCallback(step_size=1)

Abstract base class used to build a dataset callback class.

Parameters

step_size (int, optional) – The number of steps between the step_begin and step_end are called (Default=1).

Examples

>>> class PrintInfo(DSCallback):
>>>     def ds_epoch_end(self, ds_run_context):
>>>         print(cb_params.cur_epoch_num)
>>>         print(cb_params.cur_step_num)
>>>
>>> data = data.map(operations=op, callbacks=PrintInfo())

create_runtime_obj()

Creates a runtime (C++) object from the callback methods defined by the user.

Returns: _c_dataengine.PyDSCallback

ds_begin(ds_run_context)

Called before the data pipeline is started.

Parameters

ds_run_context (RunContext) – Include some information of the pipeline.

ds_epoch_begin(ds_run_context)

Called before a new epoch is started.

Parameters

ds_run_context (RunContext) – Include some information of the pipeline.

ds_epoch_end(ds_run_context)

Called after an epoch is finished.

Parameters

ds_run_context (RunContext) – Include some information of the pipeline.

ds_step_begin(ds_run_context)

Called before n steps are started.

Parameters

ds_run_context (RunContext) – Include some information of the pipeline.

ds_step_end(ds_run_context)

Called after n steps are finished.

Parameters

ds_run_context (RunContext) – Include some information of the pipeline.