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sayakpaul/float_16_32.py

Created May 2, 2020 02:39
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float_16_32.py
policy = tf.keras.mixed_precision.experimental.Policy('mixed_float16')
model = tf.keras.models.Sequential(
tf.keras.layers.Input((100,)),
tf.keras.layers.Dense(10, dtype=policy),
# Softmax should be done in float32 for numeric stability.
tf.keras.layers.Activation('Softmax', dtype='float32')
)
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