Replace 'pytorch-labs' with 'meta-pytorch' in 4 files

Author: ZainRizvi

intermediate_source/transformer_building_blocks.py

@@ -62,7 +62,7 @@
 
 If you are only interested in performant attention score modifications, please
 check out the `FlexAttention blog <https://pytorch.org/blog/flexattention/>`_ that
-contains a `gym of masks <https://github.com/pytorch-labs/attention-gym>`_.
+contains a `gym of masks <https://github.com/meta-pytorch/attention-gym>`_.
 
 """
 
@@ -675,7 +675,7 @@ def benchmark(func, *args, **kwargs):
 # of the ``MultiheadAttention`` layer that allows for arbitrary modifications
 # to the attention score. The example below takes the ``alibi_mod``
 # that implements `ALiBi <https://arxiv.org/abs/2108.12409>`_ from
-# `attention gym <https://github.com/pytorch-labs/attention-gym>`_ and uses it
+# `attention gym <https://github.com/meta-pytorch/attention-gym>`_ and uses it
 # with nested input tensors.
 
 from torch.nn.attention.flex_attention import flex_attention
@@ -892,8 +892,8 @@ def forward(self, x):
 # etc. Further, there are several good examples of using various performant building blocks to
 # implement various transformer architectures. Some examples include
 #
-# * `gpt-fast <https://github.com/pytorch-labs/gpt-fast>`_
-# * `segment-anything-fast <https://github.com/pytorch-labs/segment-anything-fast>`_
+# * `gpt-fast <https://github.com/meta-pytorch/gpt-fast>`_
+# * `segment-anything-fast <https://github.com/meta-pytorch/segment-anything-fast>`_
 # * `lucidrains implementation of NaViT with nested tensors <https://github.com/lucidrains/vit-pytorch/blob/73199ab486e0fad9eced2e3350a11681db08b61b/vit_pytorch/na_vit_nested_tensor.py>`_
 # * `torchtune's implementation of VisionTransformer <https://github.com/pytorch/torchtune/blob/a8a64ec6a99a6ea2be4fdaf0cd5797b03a2567cf/torchtune/modules/vision_transformer.py#L16>`_