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Use INFO logging for device deprecation, for easier filtering.

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PiperOrigin-RevId: 313414703
Change-Id: I2d496e7ae3381b469d7da8eda55a8886a9936a24
This commit is contained in:
Davide Libenzi 2020-05-27 10:23:22 -07:00 committed by TensorFlower Gardener
parent a67ee929f5
commit 624390fc19
1 changed files with 5 additions and 6 deletions
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11
tensorflow/compiler/jit/xla_device.cc
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@ -395,12 +395,11 @@ static void ShowXlaDeviceDeprecationWarning(
if (absl::StrContains(compilation_device_name, "CPU") || if (absl::StrContains(compilation_device_name, "CPU") ||
absl::StrContains(compilation_device_name, "GPU")) { absl::StrContains(compilation_device_name, "GPU")) {
absl::call_once(once, [] { absl::call_once(once, [] {
LOG(WARNING) LOG(INFO) << "XLA_GPU and XLA_CPU devices are deprecated and will be "
<< "XLA_GPU and XLA_CPU devices are deprecated and will be " "removed in subsequent releases. Instead, use either "
"removed in subsequent releases. Instead, use either " "@tf.function(experimental_compile=True) for must-compile "
"@tf.function(experimental_compile=True) for must-compile " "semantics, or run with TF_XLA_FLAGS=--tf_xla_auto_jit=2 "
"semantics, or run with TF_XLA_FLAGS=--tf_xla_auto_jit=2 " "for auto-clustering best-effort compilation.";
"for auto-clustering best-effort compilation.";
}); });
} }
} }