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Fix formatting issues in torch.tensor_split documentation #46328

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Fix formatting issues in torch.tensor_split documentation #46328

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9 changes: 3 additions & 6 deletions torch/_torch_docs.py
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Expand Up @@ -1223,7 +1223,7 @@ def merge_dicts(*dicts):

Splits a tensor into multiple sub-tensors, all of which are views of :attr:`input`,
along dimension :attr:`dim` according to the indices or number of sections specified
by :attr:`indices_or_sections. This function is based on NumPy's
by :attr:`indices_or_sections`. This function is based on NumPy's
:func:`numpy.array_split`.

Args:
Expand All @@ -1239,11 +1239,8 @@ def merge_dicts(*dicts):

If :attr:`indices_or_sections` is a list of ints, :attr:`input` is split along
dimension :attr:`dim` at each of the indices in the list. For instance,
:code:`[2, 3]` and :code:`dim=0` would result in the following tensors:

- :code:`input[:2]`
- :code:`input[2:3]`
- :code:`input[3:]`
:code:`indices_or_sections=[2, 3]` and :code:`dim=0` would result in the tensors
:code:`input[:2]`, :code:`input[2:3]`, and :code:`input[3:]`.

dim (int, optional): dimension along which to split the tensor. Default: ``0``

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