profile_example.py

## keras example imports
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.layers import Embedding
from keras.layers import LSTM

## extra imports to set GPU options
import tensorflow as tf
from keras import backend as k

###################################
# TensorFlow wizardry
config = tf.ConfigProto()

# Don't pre-allocate memory; allocate as-needed
config.gpu_options.allow_growth = True

# Only allow a total of half the GPU memory to be allocated
config.gpu_options.per_process_gpu_memory_fraction = 0.5

# Create a session with the above options specified.
k.tensorflow_backend.set_session(tf.Session(config=config))
###################################

max_features = 3
model = Sequential()
model.add(Embedding(max_features, output_dim=256))
model.add(LSTM(128))
model.add(Dropout(0.5))
model.add(Dense(1, activation='sigmoid'))

model.compile(loss='binary_crossentropy',
              optimizer='rmsprop',
              metrics=['accuracy'])

model.fit(x_train, y_train, batch_size=16, epochs=10)
score = model.evaluate(x_test, y_test, batch_size=16)