test.py

import tensorflow as tf
physical_devices = tf.config.experimental.list_physical_devices('GPU') 
for physical_device in physical_devices: 
    tf.config.experimental.set_memory_growth(physical_device, True)
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
    # Restrict TensorFlow to only allocate 1GB * 2 of memory on the first GPU
    try:
        tf.config.experimental.set_virtual_device_configuration(
            gpus[0],
            [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=1024 * 2)])
        logical_gpus = tf.config.experimental.list_logical_devices('GPU')
        print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
    except RuntimeError as e:
        # Virtual devices must be set before GPUs have been initialized
        print(e)
        
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.datasets import imdb
from tensorflow.keras.preprocessing import sequence

max_features = 2000
max_len = 500

(X_train, Y_train), (X_test, Y_test) = imdb.load_data(num_words=max_features)

X_train = sequence.pad_sequences(X_train, maxlen=max_len)
X_test = sequence.pad_sequences(X_test, maxlen=max_len)

model = tf.keras.models.Sequential()
model.add(layers.Embedding(max_features,
                           128,
                           input_length=max_len, 
                           name='embed'))
model.add(layers.Conv1D(32, 7, activation='relu'))
model.add(layers.MaxPooling1D(5))
model.add(layers.Conv1D(32, 7, activation='relu'))
model.add(layers.GlobalMaxPooling1D())
model.add(layers.Dense(1))
model.summary()
model.compile(optimizer='rmsprop',
              loss='binary_crossentropy',
              metrics=['acc'])

callbacks = [
    tf.keras.callbacks.TensorBoard(
        log_dir="my-log-dir",
        histogram_freq=1,
        embeddings_freq=1,
    )
]
history = model.fit(X_train, Y_train,
                    epochs=20,
                    batch_size=8,
                    validation_split=0.2,
                    callbacks=callbacks)