Google ColaboratoryのTPUでKerasを動かす
※公式ページを参考にしました．
準備
%tensorflow_version 2.x
import tensorflow as tf
print("Tensorflow version " + tf.__version__)
try:
tpu = tf.distribute.cluster_resolver.TPUClusterResolver() # TPU detection
print('Running on TPU ', tpu.cluster_spec().as_dict()['worker'])
except ValueError:
raise BaseException('ERROR: Not connected to a TPU runtime; please see the previous cell in this notebook for instructions!')
tf.config.experimental_connect_to_cluster(tpu)
tf.tpu.experimental.initialize_tpu_system(tpu)
tpu_strategy = tf.distribute.TPUStrategy(tpu)
def create_model():
#model定義
return model
with tpu_strategy.scope():
model = create_model()
学習部分
%tensorflow_version 2.x
import tensorflow as tf
print("Tensorflow version " + tf.__version__)
try:
tpu = tf.distribute.cluster_resolver.TPUClusterResolver() # TPU detection
print('Running on TPU ', tpu.cluster_spec().as_dict()['worker'])
except ValueError:
raise BaseException('ERROR: Not connected to a TPU runtime; please see the previous cell in this notebook for instructions!')
tf.config.experimental_connect_to_cluster(tpu)
tf.tpu.experimental.initialize_tpu_system(tpu)
tpu_strategy = tf.distribute.TPUStrategy(tpu)
def create_model():
#model定義
return model
with tpu_strategy.scope():
model = create_model()
通常通り，学習を行う．
history = model.fit( x_train, y_train, epochs = 50, batch_size = 2048, validation_data=(x_test, y_test))
Author And Source
この問題について(Google ColaboratoryのTPUでKerasを動かす), 我々は、より多くの情報をここで見つけました https://qiita.com/y-s-y-s/items/cf51b21f9b354e409c85著者帰属：元の著者の情報は、元のURLに含まれています。著作権は原作者に属する。
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