Modify Display Utils¶

Utilities for collecting/checking fastai user environment

In [ ]:

from fastai.utils.mod_display import *

In [ ]:

from fastai.gen_doc.nbdoc import *
from fastai.utils.collect_env import * 

In [ ]:

show_doc(progress_disabled_ctx)

`class` `progress_disabled_ctx`[source][test]

progress_disabled_ctx(learn:Learner)

Tests found for progress_disabled_ctx:

pytest -sv tests/test_mod_display.py::test_progress_disabled_ctx [source]

To run tests please refer to this guide.

Context manager to disable the progress update bar and Recorder print.

In [ ]:

from fastai.vision import *
path = untar_data(URLs.MNIST_SAMPLE)
data = ImageDataBunch.from_folder(path)
learn = cnn_learner(data, models.resnet18, metrics=accuracy)

learn.fit() will display a progress bar and give the final results once completed:

In [ ]:

learn.fit(1)

Total time: 00:04

epoch	train_loss	valid_loss	accuracy	time
0	0.146324	0.082466	0.971541	00:04

progress_disabled_ctx will remove all that update and only show the total time once completed.

In [ ]:

with progress_disabled_ctx(learn) as learn:
    learn.fit(1)

Total time: 00:03

Undocumented Methods - Methods moved below this line will intentionally be hidden¶

New Methods - Please document or move to the undocumented section¶

In [ ]:

show_doc(progress_disabled_ctx)

`class` `progress_disabled_ctx`[source][test]

progress_disabled_ctx(learn:Learner)

Tests found for progress_disabled_ctx:

pytest -sv tests/test_mod_display.py::test_progress_disabled_ctx [source]

To run tests please refer to this guide.

Context manager to disable the progress update bar and Recorder print.

Modify Display Utils¶

class progress_disabled_ctx[source][test]

Undocumented Methods - Methods moved below this line will intentionally be hidden¶

New Methods - Please document or move to the undocumented section¶

class progress_disabled_ctx[source][test]

`class` `progress_disabled_ctx`[source][test]

`class` `progress_disabled_ctx`[source][test]