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Removes deprecated CustomPeriodicEvent #1255

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Removes deprecated CustomPeriodicEvent #1255

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9f65140
Delete test_custom_events.py
Tawishi Aug 27, 2020
c63edcf
Delete custom_events.py
Tawishi Aug 27, 2020
185d228
Removing depriciated CustomPeriodicEvent
Tawishi Aug 27, 2020
da0bfed
Remove deprecated CustomPeriodicEvent
Tawishi Aug 27, 2020
f770b7a
Update test_tqdm_logger.py
Tawishi Aug 28, 2020
d5afae2
Remove deprecated CustomPeriodicEvent
Tawishi Aug 28, 2020
53e460f
Merge branch 'master' into issue-1247
Tawishi Aug 28, 2020
4c24517
Update test_tqdm_logger.py
Tawishi Aug 28, 2020
5dbd6ff
Removing CustomPeriodicEvent
Tawishi Aug 28, 2020
8efeecb
Update handlers.rst
Tawishi Aug 28, 2020
202a980
Removing deprecated CustomPeriodicEvent
Tawishi Aug 29, 2020
abeef13
Merge branch 'master' into issue-1247
vfdev-5 Aug 29, 2020
8de0395
Merge branch 'master' into issue-1247
sdesrozis Aug 31, 2020
a8c3312
Merge branch 'master' into issue-1247
sdesrozis Sep 8, 2020
027c8ae
Merge branch 'master' into issue-1247
sdesrozis Sep 11, 2020
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42 changes: 3 additions & 39 deletions examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1398,7 +1398,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create two evaluators to compute metrics on train/test images and log them to Tensorboard:"
"Let's create an evaluator to compute metrics on train/test images and log them to Tensorboard:"
]
},
{
Expand All @@ -1423,42 +1423,6 @@
" device=device, non_blocking=True)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"from ignite.contrib.handlers import CustomPeriodicEvent\n",
"\n",
"cpe = CustomPeriodicEvent(n_epochs=3)\n",
"cpe.attach(trainer)\n",
"\n",
"\n",
"def run_evaluation(engine):\n",
" train_evaluator.run(eval_train_loader)\n",
" evaluator.run(test_loader)\n",
"\n",
"\n",
"trainer.add_event_handler(cpe.Events.EPOCHS_3_STARTED, run_evaluation)\n",
"trainer.add_event_handler(Events.COMPLETED, run_evaluation)\n",
"\n",
"\n",
"# Log train eval metrics:\n",
"tb_logger.attach(train_evaluator,\n",
" log_handler=OutputHandler(tag=\"training\",\n",
" metric_names=list(metrics.keys()),\n",
" another_engine=trainer),\n",
" event_name=Events.EPOCH_COMPLETED)\n",
"\n",
"# Log val metrics:\n",
"tb_logger.attach(evaluator,\n",
" log_handler=OutputHandler(tag=\"test\",\n",
" metric_names=list(metrics.keys()),\n",
" another_engine=trainer),\n",
" event_name=Events.EPOCH_COMPLETED)"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -1835,9 +1799,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.8.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
}