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model_contrastive: make water encoder significantly shallower

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Starbeamrainbowlabs 2022-10-24 20:52:31 +01:00
parent a6b07a49cb
commit f2e2ca1484
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
2 changed files with 2 additions and 1 deletions
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1
aimodel/src/lib/ai/components/convnext.py
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@ -11,6 +11,7 @@ kernel_initial = tf.keras.initializers.TruncatedNormal(stddev=0.2)
bias_initial = tf.keras.initializers.Constant(value=0) bias_initial = tf.keras.initializers.Constant(value=0)
depths_dims = dict( depths_dims = dict(
convnext_shallow= (dict(depths=[1, 3, 1], dims=[66, 132, 192])),
convnext_xtiny = (dict(depths=[3, 3, 6, 3], dims=[66, 132, 264, 528])), convnext_xtiny = (dict(depths=[3, 3, 6, 3], dims=[66, 132, 264, 528])),
# architectures from: https://github.com/facebookresearch/ConvNeXt # architectures from: https://github.com/facebookresearch/ConvNeXt
# A ConvNet for the 2020s: https://arxiv.org/abs/2201.03545 # A ConvNet for the 2020s: https://arxiv.org/abs/2201.03545

2
aimodel/src/lib/ai/model_rainfallwater_contrastive.py
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@ -44,7 +44,7 @@ def model_rainfallwater_contrastive(metadata, shape_water, batch_size=64, featur
input_height=water_height, input_height=water_height,
input_channels=water_channels, input_channels=water_channels,
feature_dim=feature_dim, feature_dim=feature_dim,
arch_name="convnext_xtiny", arch_name="convnext_shallow",
summary_file=summary_file summary_file=summary_file
)(input_water) )(input_water)