wehub-resource-sync
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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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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# http://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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# ==============================================================================
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"""Tests for bincount using the XLA JIT."""
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.compat import v2_compat
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import errors
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import gen_math_ops
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from tensorflow.python.platform import googletest
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class BincountTest(xla_test.XLATestCase):
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def testInputRank0(self):
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with self.session():
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with self.test_scope():
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bincount = gen_math_ops.bincount(arr=6, size=804, weights=[52, 351])
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with self.assertRaisesRegex(
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errors.InvalidArgumentError,
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(
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"`weights` must be the same shape as `arr` or a length-0"
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" `Tensor`, in which case it acts as all weights equal to 1."
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),
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):
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self.evaluate(bincount)
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def testNegativeInputConstant(self):
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with self.session():
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with self.test_scope():
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@def_function.function(jit_compile=True)
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def f():
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return gen_math_ops.dense_bincount(
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input=array_ops.constant([0, -1, 2]), size=3, weights=[]
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)
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with self.assertRaisesRegex(
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errors.InvalidArgumentError, "Input arr must be non-negative!"
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):
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self.evaluate(f())
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def testNegativeInputConstantBincount(self):
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with self.session():
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with self.test_scope():
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@def_function.function(jit_compile=True)
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def f():
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return gen_math_ops.bincount(
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arr=array_ops.constant([0, -1, 2]), size=3, weights=[]
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)
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with self.assertRaisesRegex(
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errors.InvalidArgumentError, "Input arr must be non-negative!"
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):
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self.evaluate(f())
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if __name__ == "__main__":
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v2_compat.enable_v2_behavior()
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googletest.main()
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