sbrl-github/research-rainfallradar
1
0
Fork 0
mirror of https://github.com/sbrl/research-rainfallradar synced 2024-11-22 09:13:01 +00:00
Code Issues Projects Releases Packages Wiki Activity

fix debug logging

Browse source
This commit is contained in:
Starbeamrainbowlabs 2022-11-11 19:08:38 +00:00
parent 9da059d738
commit 73acda6d9a
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 2 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
aimodel/src/lib/ai/model_rainfallwater_mono.py
View file

@ -38,7 +38,7 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
arch_name = model_arch_enc
)(layer_input)
print("DEBUG:model ENCODER output_shape", layer_next.shape)
print("DEBUG:model ENCODER output_shape", layer_next.output_shape)
# BOTTLENECK
layer_next = tf.keras.layers.Dense(name="cns.stage.bottleneck.dense2", units=feature_dim)(layer_input)
@ -50,7 +50,7 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
layer_next = LayerStack2Image(target_width=4, target_height=4)(layer_next)
# layer_next = tf.keras.layers.Reshape((4, 4, math.floor(feature_dim_in/(4*4))), name="cns.stable_begin.reshape")(layer_next)
print("DEBUG:model BOTTLENECK:stack2image output_shape", layer_next.shape)
print("DEBUG:model BOTTLENECK:stack2image output_shape", layer_next.output_shape)
layer_next = tf.keras.layers.Dense(name="cns.stage.begin.dense2", units=feature_dim)(layer_next)
layer_next = tf.keras.layers.Activation(name="cns.stage_begin.relu2", activation="gelu")(layer_next)