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