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16 changes: 16 additions & 0 deletions torch/_torch_docs.py
Original file line number Diff line number Diff line change
Expand Up @@ -7257,6 +7257,10 @@ def merge_dicts(*dicts):
configuration. See :ref:`cufft-plan-cache` for more details on how to
monitor and control the cache.

.. warning::
Due to limited dynamic range of half datatype, performing this operation in half
precision may cause the first element of result to overflow for certain inputs.

.. warning::
For CPU tensors, this method is currently only available with MKL. Use
:func:`torch.backends.mkl.is_available` to check if MKL is installed.
Expand Down Expand Up @@ -7352,6 +7356,10 @@ def merge_dicts(*dicts):
configuration. See :ref:`cufft-plan-cache` for more details on how to
monitor and control the cache.

.. warning::
Due to limited dynamic range of half datatype, performing this operation in half
precision may cause the first element of result to overflow for certain inputs.

.. warning::
For CPU tensors, this method is currently only available with MKL. Use
:func:`torch.backends.mkl.is_available` to check if MKL is installed.
Expand Down Expand Up @@ -7436,6 +7444,10 @@ def merge_dicts(*dicts):
configuration. See :ref:`cufft-plan-cache` for more details on how to
monitor and control the cache.

.. warning::
Due to limited dynamic range of half datatype, performing this operation in half
precision may cause the first element of result to overflow for certain inputs.

.. warning::
For CPU tensors, this method is currently only available with MKL. Use
:func:`torch.backends.mkl.is_available` to check if MKL is installed.
Expand Down Expand Up @@ -7513,6 +7525,10 @@ def merge_dicts(*dicts):
configuration. See :ref:`cufft-plan-cache` for more details on how to
monitor and control the cache.

.. warning::
Due to limited dynamic range of half datatype, performing this operation in half
precision may cause the first element of result to overflow for certain inputs.

.. warning::
For CPU tensors, this method is currently only available with MKL. Use
:func:`torch.backends.mkl.is_available` to check if MKL is installed.
Expand Down