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Adding GPU automatic mixed precision training support #129

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23 changes: 21 additions & 2 deletions gcn/models.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import os

from gcn.layers import *
from gcn.metrics import *

Expand Down Expand Up @@ -93,7 +95,16 @@ def __init__(self, placeholders, input_dim, **kwargs):
self.placeholders = placeholders

self.optimizer = tf.train.AdamOptimizer(learning_rate=FLAGS.learning_rate)


if os.environ.get('TF_ENABLE_AUTO_MIXED_PRECISION', default='0') == '1' or \
('gpu_auto_mixed_precision' in FLAGS and FLAGS.gpu_auto_mixed_precision):
tf_version_list = tf.__version__.split(".")
if int(tf_version_list[0]) < 2:
if int(tf_version_list[1]) < 14:
raise RuntimeError("TensorFlow>=1.14 is required for automatic precision.")
print("=============Enabling GPU Automatic Mixed Precision=============")
self.optimizer = tf.train.experimental.enable_mixed_precision_graph_rewrite(self.optimizer)

self.build()

def _loss(self):
Expand Down Expand Up @@ -140,7 +151,15 @@ def __init__(self, placeholders, input_dim, **kwargs):
self.placeholders = placeholders

self.optimizer = tf.train.AdamOptimizer(learning_rate=FLAGS.learning_rate)

if os.environ.get('TF_ENABLE_AUTO_MIXED_PRECISION', default='0') == '1' or \
('gpu_auto_mixed_precision' in FLAGS and FLAGS.gpu_auto_mixed_precision):
tf_version_list = tf.__version__.split(".")
if int(tf_version_list[0]) < 2:
if int(tf_version_list[1]) < 14:
raise RuntimeError("TensorFlow>=1.14 is required for automatic precision.")
print("=============Enabling GPU Automatic Mixed Precision=============")
self.optimizer = tf.train.experimental.enable_mixed_precision_graph_rewrite(self.optimizer)

self.build()

def _loss(self):
Expand Down
2 changes: 2 additions & 0 deletions gcn/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,8 @@
flags.DEFINE_float('weight_decay', 5e-4, 'Weight for L2 loss on embedding matrix.')
flags.DEFINE_integer('early_stopping', 10, 'Tolerance for early stopping (# of epochs).')
flags.DEFINE_integer('max_degree', 3, 'Maximum Chebyshev polynomial degree.')
flags.DEFINE_bool("gpu_auto_mixed_precision", default=False,
help="Enabling GPU automatic mixed precision training.")

# Load data
adj, features, y_train, y_val, y_test, train_mask, val_mask, test_mask = load_data(FLAGS.dataset)
Expand Down