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

almost got it....? it's not what I expected....!

Browse source
This commit is contained in:
Starbeamrainbowlabs 2022-11-28 19:08:50 +00:00
parent f48473b703
commit 6640a41bb7
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 1 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

1
aimodel/src/lib/ai/components/LossCrossentropy.py
View file

@ -17,6 +17,7 @@ class LossCrossentropy(tf.keras.losses.Loss):
def call(self, y_true, y_pred): def call(self, y_true, y_pred):
result = tf.keras.metrics.categorical_crossentropy(y_true, y_pred) result = tf.keras.metrics.categorical_crossentropy(y_true, y_pred)
result_reduce = tf.math.reduce_sum(result) result_reduce = tf.math.reduce_sum(result)
label_nowater = tf.math.reduce_sum(tf.argmax(y_true, axis=-1))
tf.print("DEBUG:TFPRINT:loss LABEL", y_true.shape, y_true, "PREDICT", y_pred.shape, y_pred, "BEFORE_REDUCE", result.shape, result, "AFTER_REDUCE", result_reduce.shape, result_reduce) tf.print("DEBUG:TFPRINT:loss LABEL", y_true.shape, y_true, "PREDICT", y_pred.shape, y_pred, "BEFORE_REDUCE", result.shape, result, "AFTER_REDUCE", result_reduce.shape, result_reduce)
return result return result