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docs: Remove optimizer from manual_backward args #6267

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Mar 1, 2021
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docs: Remove optimizer from manual_backward args #6267

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8 changes: 4 additions & 4 deletions docs/source/common/lightning_module.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -946,7 +946,7 @@ When set to ``False``, Lightning does not automate the optimization process. Thi
opt = self.optimizers(use_pl_optimizer=True)
loss = ...
self.manual_backward(loss, opt)
self.manual_backward(loss)
opt.step()
opt.zero_grad()
Expand All @@ -961,16 +961,16 @@ In the multi-optimizer case, ignore the ``optimizer_idx`` argument and use the o
def training_step(self, batch, batch_idx, optimizer_idx):
# access your optimizers with use_pl_optimizer=False. Default is True
(opt_a, opt_b) = self.optimizers(use_pl_optimizer=True)
opt_a, opt_b = self.optimizers(use_pl_optimizer=True)
gen_loss = ...
opt_a.zero_grad()
self.manual_backward(gen_loss, opt_a)
self.manual_backward(gen_loss)
opt_a.step()
disc_loss = ...
opt_b.zero_grad()
self.manual_backward(disc_loss, opt_b)
self.manual_backward(disc_loss)
opt_b.step()
--------------
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4 changes: 2 additions & 2 deletions pytorch_lightning/core/lightning.py
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Expand Up @@ -1211,10 +1211,10 @@ def manual_backward(self, loss: Tensor, optimizer: Optional[Optimizer] = None, *
Example::

def training_step(...):
(opt_a, opt_b) = self.optimizers()
opt_a, opt_b = self.optimizers()
loss = ...
# automatically applies scaling, etc...
self.manual_backward(loss, opt_a)
self.manual_backward(loss)
opt_a.step()
"""
if optimizer is not None:
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