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verbose=4 #140

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Jan 18, 2021
Merged

verbose=4 #140

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verbose=4
alexander-g Dec 28, 2020
c6ee8b1
docstrings for verbose=4
alexander-g Jan 17, 2021
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3 changes: 3 additions & 0 deletions elegy/callbacks/progbar_logger.py
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Original file line number Diff line number Diff line change
Expand Up @@ -331,6 +331,9 @@ def update(self, current, values=None, finalize=None):
elif self.verbose == 3:
self.compact_table_progress(current, finalize)

elif self.verbose == 4 and finalize:
self.compact_table_progress(current, finalize)

self._last_update = now

def add(self, n, values=None):
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19 changes: 12 additions & 7 deletions elegy/model/model.py
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Expand Up @@ -222,10 +222,12 @@ def fit(
The model is not trained for a number of iterations
given by `epochs`, but merely until the epoch
of index `epochs` is reached.
verbose: 0, 1, 2 or 3. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch 3 = table.
Note that the progress bar is not particularly useful when
logged to a file, so verbose=2 is recommended when not running
verbose: 0, 1, 2, 3 or 4. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch,
3 = table with updates per step, 4 = table with updates per epoch.
Note: verbosity options 1 and 3 may slow down training
Note: the progress bar is not particularly useful when
logged to a file, so verbose=2 or verbose=4 is recommended when not running
interactively (eg, in a production environment).
callbacks: List of [elegy.callbacks.callback.Callback][] instances.
List of callbacks to apply during training.
Expand Down Expand Up @@ -475,8 +477,9 @@ def evaluate(
it could be either Numpy or Jax array(s).
It should be consistent with `x`. If `x` is a generator,
`y` should not be specified (since targets will be obtained from `x`).
verbose: 0, 1, or 2. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch.
verbose: 0, 1, 2, 3 or 4. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch
3 = table with updates per step, 4 = table with updates per epoch.
batch_size: Integer or `None`.
Number of samples per gradient update.
If unspecified, `batch_size` will default to 32.
Expand Down Expand Up @@ -588,7 +591,9 @@ def predict(
If unspecified, `batch_size` will default to 32.
Do not specify the `batch_size` if your data is in the
form of generators (since they generate batches).
verbose: Verbosity mode, 0 or 1.
verbose: Verbosity mode, 0, 1, 2, 3 or 4.
0 = silent, 1 = progress bar, 2 = one line per epoch
3 = table with updates per step, 4 = table with updates per epoch.
steps: Total number of steps (batches of samples)
before declaring the prediction round finished.
Ignored with the default value of `None`.
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