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Starbeamrainbowlabs 2022-11-24 18:25:32 +00:00
parent d55a13f536
commit 3131b4f7b3
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
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aimodel/src/subcommands/train_mono_predict.py
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@ -152,12 +152,12 @@ def do_jsonl(args, ai, dataset, model_params, do_argmax=False):
print("DEBUG:do_jsonl rainfall_actual_batch", rainfall_actual_batch.shape) print("DEBUG:do_jsonl rainfall_actual_batch", rainfall_actual_batch.shape)
print("DEBUG:do_jsonl water_actual_batch", water_actual_batch.shape) print("DEBUG:do_jsonl water_actual_batch", water_actual_batch.shape)
water_predict_batch = ai.embed(rainfall_actual_batch) water_predict_batch = ai.embed(rainfall_actual_batch)
print("DEBUG:do_jsonl water_actual_batch", water_predict_batch.shape)
water_actual_batch = tf.unstack(water_actual_batch, axis=0) water_actual_batch = tf.unstack(water_actual_batch, axis=0)
rainfall_actual_batch = tf.unstack(rainfall_actual_batch, axis=0) rainfall_actual_batch = tf.unstack(rainfall_actual_batch, axis=0)
i_batch = 0 i_batch = 0
for water_predict in water_predict_batch: for water_predict in water_predict_batch:
print("DEBUG:do_jsonl water_predict", water_predict.shape)
# [ width, height, softmax_probabilities ] → [ batch, width, height ] # [ width, height, softmax_probabilities ] → [ batch, width, height ]
if do_argmax: if do_argmax:
water_predict = tf.math.argmax(water_predict, axis=-1) water_predict = tf.math.argmax(water_predict, axis=-1)