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alphabetical order #32

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Merged
samuela merged 1 commit into from
Sep 3, 2025
Merged

alphabetical order #32

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12 changes: 6 additions & 6 deletions torch2jax/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -400,6 +400,12 @@ def flatten(input, start_dim=0, end_dim=-1):
return jnp.reshape(_v(input), input.shape[:start_dim] + (-1,))


@implements(torch.mean, Torchish_member=True, out_kwarg=True)
def mean(input, dim=None, keepdim=False, dtype=None):
dtype = t2j_dtype(dtype) if dtype is not None else None
return jnp.mean(_v(input), axis=dim, keepdims=keepdim, dtype=dtype)


@implements(torch.multinomial, out_kwarg=True, Torchish_member=True)
def multinomial(input, num_samples, replacement=False, generator=None):
assert generator is None, "TODO: implement `generator`"
Expand All @@ -418,12 +424,6 @@ def multinomial(input, num_samples, replacement=False, generator=None):
raise ValueError(f"unsupported shape: {input.shape}")


@implements(torch.mean, Torchish_member=True, out_kwarg=True)
def mean(input, dim=None, keepdim=False, dtype=None):
dtype = t2j_dtype(dtype) if dtype is not None else None
return jnp.mean(_v(input), axis=dim, keepdims=keepdim, dtype=dtype)


@implements(torch.normal, out_kwarg=True)
def normal(*args, **kwargs):
assert kwargs.get("generator", None) is None, "TODO: implement `generator`"
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