The validation dataset, deafult is None. If set, the Trainer will execute evaluate function every `save_interval` epochs.
The validation dataset, default is None. If set, the Trainer will execute evaluate function every `save_interval` epochs.
* log_interval(int)
Log the train infomation every `log_interval` steps.
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@@ -106,4 +106,4 @@ evaluate
Number of subprocess to load data, default is 0.
* collate_fn(Callable)
function to generate mini-batch data by merging the sample list. None for only stack each fields of sample in axis 0(same as :attr::`np.stack(..., axis=0)`). Default None.
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function to generate mini-batch data by merging the sample list. None for only stack each fields of sample in axis 0(same as :attr::`np.stack(..., axis=0)`). Default None.