experiments/STT-tensorflow
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Use the correct device ordinal to check whether the device the executable was

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built for is equivalent to the device the it will run on.

Before this patch, if the device to run on was provided via a stream without
setting the device ordinal in the ExecutableRunOptions, we would check the
default device against the device the executable was built for.

PiperOrigin-RevId: 206892902
This commit is contained in:
A. Unique TensorFlower 2018-08-01 01:02:45 -07:00 committed by TensorFlower Gardener
parent 26ba623dcc
commit abd645085b
1 changed files with 8 additions and 5 deletions
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13
tensorflow/compiler/xla/client/local_client.cc
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@ -101,11 +101,14 @@ Status LocalExecutable::ValidateExecutionOptions(
}
}
// Verify that the device the executable was built for is equivalent to the
// device it will run on.
int run_device_ordinal = run_options.device_ordinal() == -1
? backend_->default_device_ordinal()
: run_options.device_ordinal();
// Verify that the device the executable was built for is equivalent
// to the device it will run on.
int run_device_ordinal = run_options.device_ordinal();
if (run_device_ordinal == -1) {
run_device_ordinal = run_options.stream() != nullptr
? run_options.stream()->parent()->device_ordinal()
: backend_->default_device_ordinal();
}
TF_ASSIGN_OR_RETURN(bool devices_equivalent,
backend_->devices_equivalent(
run_device_ordinal, build_options_.device_ordinal()));