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[array api] use jnp.astype directly

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This commit is contained in:
Jake VanderPlas 2024-07-31 11:52:46 -07:00
parent 6870d37822
commit c24f20968b
2 changed files with 1 additions and 41 deletions
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5
jax/experimental/array_api/__init__.py
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@ -58,6 +58,7 @@ from jax.numpy import (
asarray as asarray,
asin as asin,
asinh as asinh,
astype as astype,
atan as atan,
atan2 as atan2,
atanh as atanh,
@ -190,7 +191,3 @@ from jax.numpy import (
zeros as zeros,
zeros_like as zeros_like,
)
from jax.experimental.array_api._data_type_functions import (
astype as astype,
)

37
jax/experimental/array_api/_data_type_functions.py
View File

@ -1,37 +0,0 @@
# Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
import jax.numpy as jnp
from jax._src.lib import xla_client as xc
from jax._src.sharding import Sharding
from jax._src import dtypes as _dtypes
# TODO(micky774): Remove when jax.numpy.astype is deprecation is completed
def astype(x, dtype, /, *, copy: bool = True, device: xc.Device | Sharding | None = None):
src_dtype = x.dtype if hasattr(x, "dtype") else _dtypes.dtype(x)
if (
src_dtype is not None
and _dtypes.isdtype(src_dtype, "complex floating")
and _dtypes.isdtype(dtype, ("integral", "real floating"))
):
raise ValueError(
"Casting from complex to non-complex dtypes is not permitted. Please "
"first use jnp.real or jnp.imag to take the real/imaginary component of "
"your input."
)
return jnp.astype(x, dtype, copy=copy, device=device)