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Set random seed for python/numpy/tf during nn training #236

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merged 2 commits into from
Sep 14, 2023
Merged

Set random seed for python/numpy/tf during nn training #236

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ec2dd8e
Set random seed for python/numpy/tf during nn training
bfhealy Sep 14, 2023
1a1a4ca
Allow random seed to be input to training
bfhealy Sep 14, 2023
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7 changes: 7 additions & 0 deletions nmma/em/create_svdmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,6 +165,12 @@ def main():
default=False,
help="Refresh the list of models available on Zenodo",
)
parser.add_argument(
"--random-seed",
type=int,
default=42,
help="random seed to set during training",
)
args = parser.parse_args()

refresh = False
Expand Down Expand Up @@ -246,6 +252,7 @@ def main():
ncpus=args.ncpus,
univariate_spline=args.use_UnivariateSpline,
univariate_spline_s=args.UnivariateSpline_s,
random_seed=args.random_seed,
)

light_curve_model = SVDLightCurveModel(
Expand Down
6 changes: 4 additions & 2 deletions nmma/em/training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,7 @@ def __init__(
ncpus=1,
univariate_spline=False,
univariate_spline_s=2,
random_seed=42,
):

if interpolation_type not in ["sklearn_gp", "tensorflow", "api_gp"]:
Expand All @@ -82,6 +83,7 @@ def __init__(
self.ncpus = ncpus
self.univariate_spline = univariate_spline
self.univariate_spline_s = univariate_spline_s
self.random_seed = random_seed
if self.univariate_spline:
print("The grid will be interpolated to sample_time with UnivariateSpline")
else:
Expand Down Expand Up @@ -397,10 +399,10 @@ def train_tensorflow_model(self, dropout_rate=0.6):
cAmat.T,
shuffle=True,
test_size=0.1,
random_state=8581,
random_state=self.random_seed,
)

np.random.RandomState(42)
tf.keras.utils.set_random_seed(self.random_seed)
model = Sequential()
# One/few layers of wide NN approximate GP
model.add(
Expand Down
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