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docs: clarify NumPy to tensor conversion semantics #3733

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2 changes: 2 additions & 0 deletions beginner_source/basics/tensorqs_tutorial.py
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Expand Up @@ -44,6 +44,8 @@
# Tensors can be created from NumPy arrays (and vice versa - see :ref:`bridge-to-np-label`).
np_array = np.array(data)
x_np = torch.from_numpy(np_array)
# Note: torch.from_numpy shares memory with the NumPy array when possible. If you want a copy, use torch.tensor(np_array).
# torch.as_tensor(np_array) also avoids a copy when possible.


###############################################################
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