Commit 5cceccdb authored by lucas_miranda's avatar lucas_miranda
Browse files

Added a MirroredStrategy to train models on multiple GPUs if they are available

parent 3559e66c
Pipeline #100307 passed with stages
in 19 minutes and 16 seconds
......@@ -907,7 +907,6 @@ class coordinates:
entropy_knn: int = 100,
input_type: str = False,
run: int = 0,
strategy: tf.distribute.Strategy = tf.distribute.MirroredStrategy(),
) -> Tuple:
"""
Annotates coordinates using an unsupervised autoencoder.
......@@ -975,7 +974,6 @@ class coordinates:
entropy_knn=entropy_knn,
input_type=input_type,
run=run,
strategy=strategy,
)
# returns a list of trained tensorflow models
......
......@@ -306,7 +306,6 @@ def autoencoder_fitting(
entropy_knn: int,
input_type: str,
run: int = 0,
strategy: tf.distribute.Strategy = tf.distribute.MirroredStrategy(),
):
"""Implementation function for deepof.data.coordinates.deep_unsupervised_embedding"""
......@@ -379,7 +378,7 @@ def autoencoder_fitting(
return_list = (encoder, decoder, ae)
else:
with strategy.scope():
(
encoder,
generator,
......@@ -389,7 +388,7 @@ def autoencoder_fitting(
posterior,
) = deepof.models.SEQ_2_SEQ_GMVAE(
architecture_hparams=({} if hparams is None else hparams),
batch_size=batch_size * strategy.num_replicas_in_sync,
batch_size=batch_size,
compile_model=True,
encoding=encoding_size,
kl_annealing_mode=kl_annealing_mode,
......@@ -483,7 +482,7 @@ def autoencoder_fitting(
x=Xs,
y=ys,
epochs=epochs,
batch_size=batch_size * strategy.num_replicas_in_sync,
batch_size=batch_size,
verbose=1,
validation_data=(
Xvals,
......
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