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Add missing highlighting for Python snippets (#8411) 

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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Aslı Sabancı 2021-07-27 04:22:05 -07:00 committed by GitHub
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docs/source/common/trainer.rst
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@ -335,7 +335,7 @@ auto_scale_batch_size
Automatically tries to find the largest batch size that fits into memory, Automatically tries to find the largest batch size that fits into memory,
before any training. before any training.
.. code-block:: .. code-block:: python
# default used by the Trainer (no scaling of batch size) # default used by the Trainer (no scaling of batch size)
trainer = Trainer(auto_scale_batch_size=None) trainer = Trainer(auto_scale_batch_size=None)
@ -1353,7 +1353,6 @@ By setting to False, you have to add your own distributed sampler:
.. code-block:: python .. code-block:: python
# in your LightningModule or LightningDataModule # in your LightningModule or LightningDataModule
def train_dataloader(self): def train_dataloader(self):
# default used by the Trainer # default used by the Trainer
@ -1575,7 +1574,7 @@ Can specify as float or int.
trainer = Trainer(val_check_interval=1000) trainer = Trainer(val_check_interval=1000)
.. code-block:: .. code-block:: python
# Here is the computation to estimate the total number of batches seen within an epoch. # Here is the computation to estimate the total number of batches seen within an epoch.