During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:/Users/s01syed/PycharmProjects/ENet/train.py", line 27, in
batch_size=batch_size)
File "C:\Users\s01syed\PycharmProjects\ENet\model.py", line 42, in init
self.add_loss_op()
File "C:\Users\s01syed\PycharmProjects\ENet\model.py", line 237, in add_loss_op
weights = self.onehot_labels_ph*self.class_weights
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 979, in binary_op_wrapper
return func(x, y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1211, in _mul_dispatch
return gen_math_ops.mul(x, y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5066, in mul
"Mul", x=x, y=y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op
op_def=op_def)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1734, in init
control_input_ops)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1570, in _create_c_op
raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 20 and 3 for 'mul_254' (op: 'Mul') with input shapes: [4,512,1024,20], [3].
Process finished with exit code 1
I saw a similar error for Keras, which was caused due to the version upgrade https://github.com/datalogue/keras-attention/issues/1.
I really want to implement this code but im stuck, could you please have a look.
Thanks :)
UPDATE: Solved the Error, it was due to passing a wrong input to class_weights
Hello,
When i try to compile the code (Python3.6.4 & TensorFlow 1.8.0) during training i get the following error.
C:/Users/s01syed/PycharmProjects/ENet/train.py [4, 256, 512, 16] [4, 128, 256, 64] [4, 128, 256, 64] [4, 128, 256, 64] [4, 128, 256, 64] [4, 128, 256, 64] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 64, 128, 128] [4, 128, 256, 64] [4, 128, 256, 64] [4, 128, 256, 64] [4, 256, 512, 16] [4, 256, 512, 16] [4, 512, 1024, 20] Traceback (most recent call last): File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1567, in _create_c_op c_op = c_api.TF_FinishOperation(op_desc) tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 20 and 3 for 'mul_254' (op: 'Mul') with input shapes: [4,512,1024,20], [3].
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "C:/Users/s01syed/PycharmProjects/ENet/train.py", line 27, in
batch_size=batch_size)
File "C:\Users\s01syed\PycharmProjects\ENet\model.py", line 42, in init
self.add_loss_op()
File "C:\Users\s01syed\PycharmProjects\ENet\model.py", line 237, in add_loss_op
weights = self.onehot_labels_ph*self.class_weights
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 979, in binary_op_wrapper
return func(x, y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1211, in _mul_dispatch
return gen_math_ops.mul(x, y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5066, in mul
"Mul", x=x, y=y, name=name)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op
op_def=op_def)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1734, in init
control_input_ops)
File "C:\Users\s01syed\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1570, in _create_c_op
raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 20 and 3 for 'mul_254' (op: 'Mul') with input shapes: [4,512,1024,20], [3].
Process finished with exit code 1
I saw a similar error for Keras, which was caused due to the version upgrade https://github.com/datalogue/keras-attention/issues/1. I really want to implement this code but im stuck, could you please have a look.
Thanks :)
UPDATE: Solved the Error, it was due to passing a wrong input to class_weights