mirror of https://github.com/tqdm/tqdm.git
fix keras display, expose initial bar(s) `**tqdm_kwargs`
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410c136b49
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@ -28,7 +28,7 @@ class TqdmCallback(keras.callbacks.Callback):
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return callback
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return callback
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def __init__(self, epochs=None, data_size=None, batch_size=None, verbose=1,
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def __init__(self, epochs=None, data_size=None, batch_size=None, verbose=1,
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tqdm_class=tqdm_auto):
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tqdm_class=tqdm_auto, **tqdm_kwargs):
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"""
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"""
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Parameters
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Parameters
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----------
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----------
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@ -43,9 +43,13 @@ class TqdmCallback(keras.callbacks.Callback):
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are given.
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are given.
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tqdm_class : optional
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tqdm_class : optional
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`tqdm` class to use for bars [default: `tqdm.auto.tqdm`].
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`tqdm` class to use for bars [default: `tqdm.auto.tqdm`].
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tqdm_kwargs : optional
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Any other arguments used for initial bars.
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Instead, for passing arguments to all bars, create a custom
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`tqdm_class`.
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"""
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"""
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self.tqdm_class = tqdm_class
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self.tqdm_class = tqdm_class
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self.epoch_bar = tqdm_class(total=epochs, unit='epoch')
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self.epoch_bar = tqdm_class(total=epochs, unit='epoch', **tqdm_kwargs)
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self.on_epoch_end = self.bar2callback(self.epoch_bar)
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self.on_epoch_end = self.bar2callback(self.epoch_bar)
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if data_size and batch_size:
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if data_size and batch_size:
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self.batches = batches = (data_size + batch_size - 1) // batch_size
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self.batches = batches = (data_size + batch_size - 1) // batch_size
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@ -54,7 +58,7 @@ class TqdmCallback(keras.callbacks.Callback):
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self.verbose = verbose
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self.verbose = verbose
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if verbose == 1:
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if verbose == 1:
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self.batch_bar = tqdm_class(total=batches, unit='batch',
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self.batch_bar = tqdm_class(total=batches, unit='batch',
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leave=False)
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leave=False, **tqdm_kwargs)
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self.on_batch_end = self.bar2callback(
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self.on_batch_end = self.bar2callback(
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self.batch_bar,
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self.batch_bar,
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pop=['batch', 'size'],
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pop=['batch', 'size'],
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