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RFC.md
@@ -107,8 +107,6 @@ that utility flag, similar to
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[`torch.set_default_dtype`](https://pytorch.org/docs/stable/generated/torch.set_default_dtype.html).
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Perhaps call it `torch_np.use_torch_defaults()` and then add a way for users
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to be able to set their own int/float/complex defaults.
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-**TODO(Lezcano)**: Do we just use them just in factory functions, or do we also
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-use them anywhere else -> Check
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**NumPy scalars**. NumPy's type system is tricky. At first sight, it looks
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like PyTorch's, but with few more dtypes like `np.uint16` or `np.longdouble`.
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