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59 lines
1.6 KiB
Python
59 lines
1.6 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 --debug_nans."""
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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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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 jax
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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 numpy as np
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from jax import random
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from jax.config import config
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config.parse_flags_with_absl()
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class DebugNaNsTest(jtu.JaxTestCase):
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def setUp(self):
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self.cfg = config.read("jax_debug_nans")
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config.update("jax_debug_nans", True)
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def tearDown(self):
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config.update("jax_debug_nans", self.cfg)
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def testSingleResultPrimitiveNoNaN(self):
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A = np.array([[1., 2.], [2., 3.]])
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B = np.tanh(A)
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def testMultipleResultPrimitiveNoNaN(self):
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A = np.array([[1., 2.], [2., 3.]])
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D, V = np.linalg.eig(A)
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def testJitComputationNoNaN(self):
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A = np.array([[1., 2.], [2., 3.]])
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B = jax.jit(np.tanh)(A)
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def testSingleResultPrimitiveNaN(self):
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A = np.array(0.)
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with self.assertRaises(FloatingPointError):
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B = 0. / A
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