40 lines
1.4 KiB
Python
40 lines
1.4 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 Mean operators."""
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from tensorflow.python.eager.def_function import function
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import test
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class MeanOpTest(test.TestCase):
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def testReduceMeanOverflow(self):
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@function(jit_compile=True)
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def tpu_computation():
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shape = (4, 32, 512, 512, 96)
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dtype = dtypes.float32
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test_ones = array_ops.ones(shape=shape, dtype=dtype)
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return math_ops.reduce_mean(test_ones)
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with ops.device("TPU:0"):
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result = tpu_computation()
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self.assertAllClose(
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result, 1.0, rtol=1e-4, atol=1e-4)
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if __name__ == "__main__":
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test.main()
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