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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

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Python

# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for Mean operators."""
from tensorflow.python.eager.def_function import function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class MeanOpTest(test.TestCase):
def testReduceMeanOverflow(self):
@function(jit_compile=True)
def tpu_computation():
shape = (4, 32, 512, 512, 96)
dtype = dtypes.float32
test_ones = array_ops.ones(shape=shape, dtype=dtype)
return math_ops.reduce_mean(test_ones)
with ops.device("TPU:0"):
result = tpu_computation()
self.assertAllClose(
result, 1.0, rtol=1e-4, atol=1e-4)
if __name__ == "__main__":
test.main()