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https://github.com/ROCm/jax.git
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bbf8129aa6
* Change test tolerance logic not to choose tolerance values based on flags (in particular, --jax_enable_x64). We would like to move away from having global flags to enable 64-bit mode. We therefore need other methods to select test tolerances. Instead, use a per-type default tolerance, and allow tests to pass per-type dictionaries of tolerances as atol and rtol values. Fix up a number of tolerances to make tests pass. * Fix test tolerances. * Fix dtype canonicalization for test tolerances. * Relax core test_vjp tolerance.
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
# Copyright 2019 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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"""Tests for nn module."""
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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 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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from jax import test_util as jtu
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from jax.test_util import check_grads
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from jax import nn
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from jax import random
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import jax
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from jax.config import config
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config.parse_flags_with_absl()
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class NNFunctionsTest(jtu.JaxTestCase):
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def testSoftplusGrad(self):
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check_grads(nn.softplus, (1e-8,), 4,
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rtol=1e-2 if jtu.device_under_test() == "tpu" else None)
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def testSoftplusValue(self):
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val = nn.softplus(89.)
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self.assertAllClose(val, 89., check_dtypes=False)
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def testEluGrad(self):
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check_grads(nn.elu, (1e4,), 4, eps=1.)
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def testEluValue(self):
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val = nn.elu(1e4)
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self.assertAllClose(val, 1e4, check_dtypes=False)
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InitializerRecord = collections.namedtuple(
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"InitializerRecord",
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["name", "initializer", "shapes"])
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ALL_SHAPES = [(2,), (2, 2), (2, 3), (3, 2), (2, 3, 4), (4, 3, 2), (2, 3, 4, 5)]
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def initializer_record(name, initializer, min_dims=2, max_dims=4):
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shapes = [shape for shape in ALL_SHAPES
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if min_dims <= len(shape) <= max_dims]
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return InitializerRecord(name, initializer, shapes)
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INITIALIZER_RECS = [
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initializer_record("uniform", nn.initializers.uniform(), 1),
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initializer_record("normal", nn.initializers.normal(), 1),
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initializer_record("he_normal", nn.initializers.he_normal()),
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initializer_record("he_uniform", nn.initializers.he_uniform()),
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initializer_record("glorot_normal", nn.initializers.glorot_normal()),
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initializer_record("glorot_uniform", nn.initializers.glorot_uniform()),
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initializer_record("lecun_normal", nn.initializers.lecun_normal()),
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initializer_record("lecun_uniform", nn.initializers.lecun_uniform()),
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initializer_record("orthogonal", nn.initializers.orthogonal(), 2, 2)
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]
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class NNInitializersTest(jtu.JaxTestCase):
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@parameterized.named_parameters(jtu.cases_from_list(
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{"testcase_name":
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"_{}_{}".format(
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rec.name,
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jtu.format_shape_dtype_string(shape, dtype)),
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"initializer": rec.initializer,
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"shape": shape, "dtype": dtype}
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for rec in INITIALIZER_RECS
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for shape in rec.shapes
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for dtype in [onp.float32, onp.float64]))
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def testInitializer(self, initializer, shape, dtype):
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rng = random.PRNGKey(0)
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val = initializer(rng, shape, dtype)
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if __name__ == "__main__":
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absltest.main()
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