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convnext_inverse: kernel_size 4→2

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Starbeamrainbowlabs 2022-11-11 19:29:37 +00:00
parent 0662d0854b
commit 527b34942d
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 1 additions and 1 deletions
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aimodel/src/lib/ai/components/convnext_inverse.py
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@ -41,7 +41,7 @@ def block_upscale(layer_in, block_number, depth, dim):
layer_next = tf.keras.layers.Conv2DTranspose( layer_next = tf.keras.layers.Conv2DTranspose(
name=f"cns.stage{block_number}.end.convtp", name=f"cns.stage{block_number}.end.convtp",
filters=dim, filters=dim,
kernel_size=4, kernel_size=2, # double each time, was 4
strides=2 strides=2
)(layer_next) )(layer_next)
layer_next = tf.keras.layers.LayerNormalization(name=f"cns.stage{block_number}.end.norm", epsilon=1e-6)(layer_next) layer_next = tf.keras.layers.LayerNormalization(name=f"cns.stage{block_number}.end.norm", epsilon=1e-6)(layer_next)