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95483c76e9
scipy.misc.logsumexp is deprecated and appears slated to be removed entirely in scipy 1.3.
124 lines
4.8 KiB
Python
124 lines
4.8 KiB
Python
# Copyright 2018 Google LLC
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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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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import collections
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import functools
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import itertools
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from absl.testing import absltest
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from absl.testing import parameterized
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import numpy as onp
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import scipy.misc as osp_misc
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import scipy.special as osp_special
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import scipy.stats as osp_stats
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from jax import api
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from jax import test_util as jtu
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from jax.scipy import misc as lsp_misc
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from jax.scipy import special as lsp_special
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from jax.scipy import stats as lsp_stats
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from jax.config import config
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config.parse_flags_with_absl()
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FLAGS = config.FLAGS
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all_shapes = [(), (4,), (3, 4), (3, 1), (1, 4), (2, 1, 4)]
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float_dtypes = [onp.float32, onp.float64]
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complex_dtypes = [onp.complex64]
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int_dtypes = [onp.int32, onp.int64]
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bool_dtypes = [onp.bool_]
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default_dtypes = float_dtypes + int_dtypes
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numeric_dtypes = float_dtypes + complex_dtypes + int_dtypes
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OpRecord = collections.namedtuple("OpRecord", ["name", "nargs", "dtypes", "rng",
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"diff_modes", "test_name"])
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def op_record(name, nargs, dtypes, rng, diff_modes, test_name=None):
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test_name = test_name or name
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return OpRecord(name, nargs, dtypes, rng, diff_modes, test_name)
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JAX_SPECIAL_FUNCTION_RECORDS = [
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op_record("gammaln", 1, float_dtypes, jtu.rand_positive(), ["rev"]),
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op_record("digamma", 1, float_dtypes, jtu.rand_positive(), []),
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op_record("erf", 1, float_dtypes, jtu.rand_small_positive(), ["rev"]),
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op_record("erfc", 1, float_dtypes, jtu.rand_small_positive(), ["rev"]),
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op_record("erfinv", 1, float_dtypes, jtu.rand_small_positive(), ["rev"]),
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op_record("logit", 1, float_dtypes, jtu.rand_small_positive(), ["rev"]),
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op_record("expit", 1, float_dtypes, jtu.rand_small_positive(), ["rev"]),
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]
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CombosWithReplacement = itertools.combinations_with_replacement
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class LaxBackedScipyTests(jtu.JaxTestCase):
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"""Tests for LAX-backed Scipy implementation."""
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def _GetArgsMaker(self, rng, shapes, dtypes):
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return lambda: [rng(shape, dtype) for shape, dtype in zip(shapes, dtypes)]
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@parameterized.named_parameters(jtu.cases_from_list(
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{"testcase_name": "_inshape={}_axis={}_keepdims={}".format(
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jtu.format_shape_dtype_string(shape, dtype), axis, keepdims),
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"rng": jtu.rand_default(), "shape": shape, "dtype": dtype,
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"axis": axis, "keepdims": keepdims}
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for shape in all_shapes for dtype in float_dtypes
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for axis in range(-len(shape), len(shape))
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for keepdims in [False, True]))
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@jtu.skip_on_flag("jax_xla_backend", "xrt")
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def testLogSumExp(self, rng, shape, dtype, axis, keepdims):
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# TODO(mattjj): test autodiff
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def scipy_fun(array_to_reduce):
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return osp_special.logsumexp(array_to_reduce, axis, keepdims=keepdims)
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def lax_fun(array_to_reduce):
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return lsp_special.logsumexp(array_to_reduce, axis, keepdims=keepdims)
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args_maker = lambda: [rng(shape, dtype)]
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self._CheckAgainstNumpy(scipy_fun, lax_fun, args_maker, check_dtypes=True)
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self._CompileAndCheck(lax_fun, args_maker, check_dtypes=True)
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@parameterized.named_parameters(jtu.cases_from_list(
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{"testcase_name": jtu.format_test_name_suffix(
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rec.test_name, shapes, dtypes),
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"rng": rec.rng, "shapes": shapes, "dtypes": dtypes,
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"modes": rec.diff_modes,
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"scipy_op": getattr(osp_special, rec.name),
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"lax_op": getattr(lsp_special, rec.name)}
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for rec in JAX_SPECIAL_FUNCTION_RECORDS
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for shapes in CombosWithReplacement(all_shapes, rec.nargs)
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for dtypes in CombosWithReplacement(rec.dtypes, rec.nargs)))
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def testScipySpecialFun(self, scipy_op, lax_op, rng, shapes, dtypes, modes):
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# TODO(mattjj): unskip this test combination when real() on tpu is improved
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# TODO(mattjj): test autodiff
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if (FLAGS.jax_test_dut and FLAGS.jax_test_dut.startswith("tpu")
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and not shapes[0]):
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return absltest.unittest.skip("real() on scalar not supported on tpu")
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args_maker = self._GetArgsMaker(rng, shapes, dtypes)
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args = args_maker()
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self.assertAllClose(scipy_op(*args), lax_op(*args), atol=1e-3, rtol=1e-3,
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check_dtypes=False)
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self._CompileAndCheck(lax_op, args_maker, check_dtypes=True)
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if __name__ == "__main__":
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absltest.main()
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