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cqu-isse / CARLCS-CNN

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ValueError: logits and labels must have the same shape #1

Open claudiovaliense opened 3 years ago

claudiovaliense commented 3 years ago

I have the following problem when I run the solution for this job, can you help me?

Traceback (most recent call last): File "main.py", line 330, in model.compile(optimizer=optimizer) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/models.py", line 244, in compile self._sim_model.compile(loss='binary_crossentropy', optimizer=optimizer, **kwargs) File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 899, in compile sample_weight, mask) File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 430, in weighted score_array = fn(y_true, y_pred) File "/usr/local/lib/python2.7/dist-packages/keras/losses.py", line 45, in binary_crossentropy return K.mean(K.binary_crossentropy(y_pred, y_true), axis=-1) File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 2617, in binary_crossentropy logits=output) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_impl.py", line 168, in sigmoid_cross_entropy_with_logits (logits.get_shape(), labels.get_shape())) ValueError: logits and labels must have the same shape ((?, 100, 100) vs (?, ?))

claudiovaliense commented 3 years ago

Same thing happens for python version 3.6

Traceback (most recent call last): File "main.py", line 330, in model.compile(optimizer=optimizer) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/models.py", line 244, in compile self._sim_model.compile(loss='binary_crossentropy', optimizer=optimizer, **kwargs) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/virtualenv/lib/python3.6/site-packages/keras/engine/training.py", line 899, in compile sample_weight, mask) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/virtualenv/lib/python3.6/site-packages/keras/engine/training.py", line 430, in weighted score_array = fn(y_true, y_pred) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/virtualenv/lib/python3.6/site-packages/keras/losses.py", line 45, in binary_crossentropy return K.mean(K.binary_crossentropy(y_pred, y_true), axis=-1) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/virtualenv/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2617, in binary_crossentropy logits=output) File "/home/usuario/projetos/CARLCS-CNN/CARLCS-CNN/virtualenv/lib/python3.6/site-packages/tensorflow/python/ops/nn_impl.py", line 168, in sigmoid_cross_entropy_with_logits (logits.get_shape(), labels.get_shape())) ValueError: logits and labels must have the same shape ((?, 100, 100) vs (?, ?))