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doctest for .rst files (#1511)

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* add doctest to circleci

* Revert "add doctest to circleci"

This reverts commit c45b34ea911a81f87989f6c3a832b1e8d8c471c6.

* Revert "Revert "add doctest to circleci""

This reverts commit 41fca97fdcfe1cf4f6bdb3bbba75d25fa3b11f70.

* doctest docs rst files

* Revert "doctest docs rst files"

This reverts commit b4a2e83e3da5ed1909de500ec14b6b614527c07f.

* doctest only rst

* doctest debugging.rst

* doctest apex

* doctest callbacks

* doctest early stopping

* doctest for child modules

* doctest experiment reporting

* indentation

* doctest fast training

* doctest for hyperparams

* doctests for lr_finder

* doctests multi-gpu

* more doctest

* make doctest drone

* fix label build error

* update fast training

* update invalid imports

* fix problem with int device count

* rebase stuff

* wip

* wip

* wip

* intro guide

* add missing code block

* circleci

* logger import for doctest

* test if doctest runs on drone

* fix mnist download

* also run install deps for building docs

* install cmake

* try sudo

* hide output

* try pip stuff

* try to mock horovod

* Tranfer -> Transfer

* add torchvision to extras

* revert pip stuff

* mlflow file location

* do not mock torch

* torchvision

* drone extra req.

* try higher sphinx version

* Revert "try higher sphinx version"

This reverts commit 490ac28e46d6fd52352640dfdf0d765befa56988.

* try coverage command

* try coverage command

* try undoc flag

* newline

* undo drone

* report coverage

* review

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* remove torchvision from extras

* skip tests only if torchvision not available

* fix testoutput torchvision

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
This commit is contained in:
Adrian Wälchli
2020-05-04 22:16:54 -04:00
committed by GitHub
co-authored by Jirka Borovec
parent 48e808c20e
commit a6de1b8d75
25 changed files with 798 additions and 637 deletions
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docs/source/optimizers.rst
+4 -4
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@@ -5,7 +5,7 @@ Learning rate scheduling
-------------------------------------
Every optimizer you use can be paired with any `LearningRateScheduler <https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate>`_.
.. code-block:: python
.. testcode::
# no LR scheduler
def configure_optimizers(self):
@@ -44,7 +44,7 @@ Use multiple optimizers (like GANs)
-------------------------------------
To use multiple optimizers return > 1 optimizers from :meth:`pytorch_lightning.core.LightningModule.configure_optimizers`
.. code-block:: python
.. testcode::
# one optimizer
def configure_optimizers(self):
@@ -79,7 +79,7 @@ override the :meth:`optimizer_step` function.
For example, here step optimizer A every 2 batches and optimizer B every 4 batches
.. code-block:: python
.. testcode::
def optimizer_step(self, current_epoch, batch_nb, optimizer, optimizer_i, second_order_closure=None):
optimizer.step()
@@ -104,7 +104,7 @@ For example, here step optimizer A every 2 batches and optimizer B every 4 batch
Here we add a learning-rate warm up
.. code-block:: python
.. testcode::
# learning rate warm-up
def optimizer_step(self, current_epoch, batch_nb, optimizer, optimizer_i, second_order_closure=None):