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Fix formatting in the scaled_dot tutorial #3087

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Merged
merged 2 commits into from
Oct 9, 2024
Merged

Fix formatting in the scaled_dot tutorial #3087

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d6de660
Fix formatting in the scaled_dot tutorial
svekars Oct 9, 2024
ed20958
Merge branch 'main' into svekars-patch-29
svekars Oct 9, 2024
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10 changes: 5 additions & 5 deletions intermediate_source/scaled_dot_product_attention_tutorial.py
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Expand Up @@ -244,7 +244,7 @@ def generate_rand_batch(

######################################################################
# Using SDPA with ``torch.compile``
# =================================
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# With the release of PyTorch 2.0, a new feature called
# ``torch.compile()`` has been introduced, which can provide
Expand Down Expand Up @@ -324,9 +324,9 @@ def generate_rand_batch(
#

######################################################################
# Using SDPA with attn_bias subclasses`
# ==========================================
#
# Using SDPA with attn_bias subclasses
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

# As of PyTorch 2.3, we have added a new submodule that contains tensor subclasses.
# Designed to be used with ``torch.nn.functional.scaled_dot_product_attention``.
# The module is named ``torch.nn.attention.bias`` and contains the following two
Expand Down Expand Up @@ -394,7 +394,7 @@ def generate_rand_batch(

######################################################################
# Conclusion
# ==========
# ~~~~~~~~~~~
#
# In this tutorial, we have demonstrated the basic usage of
# ``torch.nn.functional.scaled_dot_product_attention``. We have shown how
Expand Down
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