stop DropBlock

Example: from functools import partial apply_drop_prob = partial(reset_dropblock, 0, epochs*iters_per_epoch, 0.0, 0.1) ne

r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args

r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args:

Set the target GPU id to profile memory Because of the lack of output space, only one GPU's memory usage is shown in line profiler. However y

Returns the state of the scheduler as a :class:`dict`. It contains an entry for every variable in self.__dict__ which is not the opti

Performs a single Lookahead optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Trace the execution of python line-by-line