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Adding GPU automatic mixed precision training #200

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Adding GPU automatic mixed precision training #200

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558493f
adding GPU automatic mixed precision training
vinhngx Aug 1, 2019
4b43d18
remove os flag
vinhngx Aug 27, 2019
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7 changes: 7 additions & 0 deletions model_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -141,6 +141,13 @@ def get_train_op(FLAGS, total_loss, grads_and_vars=None):
if FLAGS.use_tpu:
optimizer = tf.contrib.tpu.CrossShardOptimizer(optimizer)

if 'gpu_auto_mixed_precision' in FLAGS and FLAGS.gpu_auto_mixed_precision:
if FLAGS.use_tpu:
raise(RuntimeError("GPU auto mixed precision cannot be used with TPU"))
else:
print("=============Enabling GPU Automatic Mixed Precision=============")
optimizer = tf.train.experimental.enable_mixed_precision_graph_rewrite(optimizer)

if grads_and_vars is None:
grads_and_vars = optimizer.compute_gradients(total_loss)
gradients, variables = zip(*grads_and_vars)
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2 changes: 2 additions & 0 deletions run_classifier.py
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Expand Up @@ -137,6 +137,8 @@
help="Classifier layer scope.")
flags.DEFINE_bool("is_regression", default=False,
help="Whether it's a regression task.")
flags.DEFINE_bool("gpu_auto_mixed_precision", default=False,
help="Enabling GPU automatic mixed precision training.")

FLAGS = flags.FLAGS

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