47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
# Copyright 2022 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 operator
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import scipy.cluster.vq
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import textwrap
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from jax import vmap
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import jax.numpy as jnp
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from jax._src.numpy.util import _wraps, check_arraylike, promote_dtypes_inexact
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_no_chkfinite_doc = textwrap.dedent("""
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Does not support the Scipy argument ``check_finite=True``,
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because compiled JAX code cannot perform checks of array values at runtime
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""")
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@_wraps(scipy.cluster.vq.vq, lax_description=_no_chkfinite_doc, skip_params=('check_finite',))
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def vq(obs, code_book, check_finite=True):
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check_arraylike("scipy.cluster.vq.vq", obs, code_book)
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if obs.ndim != code_book.ndim:
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raise ValueError("Observation and code_book should have the same rank")
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obs, code_book = promote_dtypes_inexact(obs, code_book)
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if obs.ndim == 1:
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obs, code_book = obs[..., None], code_book[..., None]
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if obs.ndim != 2:
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raise ValueError("ndim different than 1 or 2 are not supported")
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# explicitly rank promotion
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dist = vmap(lambda ob: jnp.linalg.norm(ob[None] - code_book, axis=-1))(obs)
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code = jnp.argmin(dist, axis=-1)
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dist_min = vmap(operator.getitem)(dist, code)
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return code, dist_min
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