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WHY. * facepalms *

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Starbeamrainbowlabs 2022-11-28 19:33:42 +00:00
parent 57b8eb93fb
commit dba6cbffcd
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
4 changed files with 5 additions and 3 deletions
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2
aimodel/src/lib/ai/components/LossCrossentropy.py
View file

@ -18,7 +18,7 @@ class LossCrossentropy(tf.keras.losses.Loss):
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)) label_nowater = tf.math.reduce_sum(tf.argmax(y_true, axis=-1))
tf.print("DEBUG:TFPRINT:loss LABEL", y_true.shape, y_true, "LABEL_ARGMAX_COUNT_AXIS0", label_nowater, "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, "LABEL_ARGMAX_COUNT_AXIS0", label_nowater, "PREDICT", y_pred.shape, y_pred, "BEFORE_REDUCE", result.shape, result, "AFTER_REDUCE", result_reduce.shape, result_reduce)
return result return result
def get_config(self): def get_config(self):

2
aimodel/src/lib/dataset/dataset_mono.py
View file

@ -22,6 +22,8 @@ def parse_item(metadata, shape_water_desired=[100,100], water_threshold=0.1, wat
print("DEBUG DATASET:rainfall shape", metadata["rainfallradar"]) print("DEBUG DATASET:rainfall shape", metadata["rainfallradar"])
print("DEBUG DATASET:water shape", metadata["waterdepth"]) print("DEBUG DATASET:water shape", metadata["waterdepth"])
print("DEBUG DATASET:water_threshold", water_threshold)
print("DEBUG DATASET:water_bins", water_bins)
def parse_item_inner(item): def parse_item_inner(item):
parsed = tf.io.parse_single_example(item, features={ parsed = tf.io.parse_single_example(item, features={

2
aimodel/src/subcommands/train.py
View file

@ -33,7 +33,7 @@ def run(args):
if (not hasattr(args, "read_multiplier")) or args.read_multiplier == None: if (not hasattr(args, "read_multiplier")) or args.read_multiplier == None:
args.read_multiplier = 1.5 args.read_multiplier = 1.5
if (not hasattr(args, "water_threshold")) or args.water_threshold == None: if (not hasattr(args, "water_threshold")) or args.water_threshold == None:
args.water_threshold = 1.5 args.water_threshold = 0.1
if (not hasattr(args, "water_size")) or args.water_size == None: if (not hasattr(args, "water_size")) or args.water_size == None:
args.water_size = 1.5 args.water_size = 1.5
if (not hasattr(args, "arch")) or args.arch == None: if (not hasattr(args, "arch")) or args.arch == None:

2
aimodel/src/subcommands/train_mono.py
View file

@ -34,7 +34,7 @@ def run(args):
if (not hasattr(args, "read_multiplier")) or args.read_multiplier == None: if (not hasattr(args, "read_multiplier")) or args.read_multiplier == None:
args.read_multiplier = 1.5 args.read_multiplier = 1.5
if (not hasattr(args, "water_threshold")) or args.water_threshold == None: if (not hasattr(args, "water_threshold")) or args.water_threshold == None:
args.water_threshold = 1.5 args.water_threshold = 0.1
if (not hasattr(args, "water_size")) or args.water_size == None: if (not hasattr(args, "water_size")) or args.water_size == None:
args.water_size = 1.5 args.water_size = 1.5
if (not hasattr(args, "bottleneck")) or args.bottleneck == None: if (not hasattr(args, "bottleneck")) or args.bottleneck == None: