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40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
# Copyright 2023 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import jax
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from jax.experimental.array_api._data_type_functions import result_type as _result_type
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def argmax(x, /, *, axis=None, keepdims=False):
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"""Returns the indices of the maximum values along a specified axis."""
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return jax.numpy.argmax(x, axis=axis, keepdims=keepdims)
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def argmin(x, /, *, axis=None, keepdims=False):
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"""Returns the indices of the minimum values along a specified axis."""
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return jax.numpy.argmin(x, axis=axis, keepdims=keepdims)
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def nonzero(x, /):
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"""Returns the indices of the array elements which are non-zero."""
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if jax.numpy.ndim(x) == 0:
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raise ValueError("inputs to nonzero() must have at least one dimension.")
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return jax.numpy.nonzero(x)
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def where(condition, x1, x2, /):
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"""Returns elements chosen from x1 or x2 depending on condition."""
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dtype = _result_type(x1, x2)
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return jax.numpy.where(condition, x1.astype(dtype), x2.astype(dtype))
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