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Development oj #2

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b440625
Fixed issue with loading checkpoint during hyper parameter tuning
olivier-jaubert Apr 8, 2022
7d88469
setting Memory Growth at start of training
olivier-jaubert Oct 25, 2022
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2 changes: 1 addition & 1 deletion keras_declarative/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -312,7 +312,7 @@ def _build_hypermodel(self, hp):

model.load_weights(
self._get_checkpoint_fname(
history_trial.trial_id, history_trial.best_step
history_trial.trial_id #, history_trial.best_step
)
)
return model
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6 changes: 6 additions & 0 deletions keras_declarative/workflows.py
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Expand Up @@ -26,6 +26,12 @@
import numpy as np
import pandas as pd
import tensorflow as tf
try:
physical_devices = tf.config.experimental.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], True)
print('setting Memory Growth (for simultaneous preproc and training OJ)')
except:
print('FAILED: setting Memory Growth (for simultaneous preproc and training OJ)')
import tensorflow_datasets as tfds
import tensorflow_io as tfio

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