49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
# Copyright 2017 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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"""Test cases for XLA devices."""
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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 tensorflow.python.client import session as session_lib
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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.platform import test
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class XlaDeviceGpuTest(test.TestCase):
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def testCopiesToAndFromGpuWork(self):
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"""Tests that copies between GPU and XLA devices work."""
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if not test.is_gpu_available():
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return
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with session_lib.Session() as sess:
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x = array_ops.placeholder(dtypes.float32, [2])
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with ops.device("GPU"):
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y = x * 2
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with ops.device("device:XLA_CPU:0"):
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z = y * y
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with ops.device("GPU"):
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w = y + z
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result = sess.run(w, {x: [1.5, 0.5]})
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self.assertAllClose(result, [12., 2.], rtol=1e-3)
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if __name__ == "__main__":
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test.main()
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