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Hi, this is very good repo. I try to run vector_capsule, matrix_capsule, and alexnet but I have errors :
during running alexnet, there is problem in self.inference() Traceback (most recent call last): File "main.py", line 42, in <module> tf.app.run() File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run _run_main(main, args) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main sys.exit(main(argv)) File "main.py", line 26, in main model = SiameseNet(tf.Session(), args, HammingSet) File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\AlexNet\Siamese.py", line 29, in __init__ self.inference() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\AlexNet\Siamese.py", line 45, in inference Siamese_out.append(AlexNet(x[i], self.keep_prob, self.is_train)) TypeError: 'module' object is not callable
during running vector_capsule I got an error from self.configure_network()
`Errors may have originated from an input operation.
Input Source operations connected to node Optimizer/Siamese/fc_caps/W_0:
Optimizer/gradients/Siamese/fc_caps/map/while/MatMul/Enter_grad/b_acc_3 (defined at D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py:160)
Original stack trace for 'Optimizer/Siamese/fc_caps/W_0':
File "main.py", line 42, in
tf.app.run()
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run
_run_main(main, args)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main
sys.exit(main(argv))
File "main.py", line 26, in main
model = SiameseNet(tf.Session(), args, HammingSet)
File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 33, in init
self.configure_network()
File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 169, in configure_network
self.summary_list.append(tf.summary.histogram(var.name, grad))
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\summary\summary.py", line 179, in histogram
tag=tag, values=values, name=scope)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\ops\gen_logging_ops.py", line 329, in histogram_summary
"HistogramSummary", tag=tag, values=values, name=name)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op
op_def=op_def)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()`
during running matrix_capsule I got an error from self.configure_network()
Traceback (most recent call last): File "main.py", line 42, in <module> tf.app.run() File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run _run_main(main, args) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main sys.exit(main(argv)) File "main.py", line 26, in main model = SiameseNet(tf.Session(), args, HammingSet) File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 33, in __init__ self.configure_network() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 146, in configure_network self.loss_func() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 105, in loss_func loss = margin_loss(self.y, self.v_length, self.conf) AttributeError: 'SiameseCapsNet' object has no attribute 'v_length'
The text was updated successfully, but these errors were encountered:
Hi, this is very good repo. I try to run vector_capsule, matrix_capsule, and alexnet but I have errors :
during running alexnet, there is problem in self.inference()
Traceback (most recent call last): File "main.py", line 42, in <module> tf.app.run() File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run _run_main(main, args) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main sys.exit(main(argv)) File "main.py", line 26, in main model = SiameseNet(tf.Session(), args, HammingSet) File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\AlexNet\Siamese.py", line 29, in __init__ self.inference() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\AlexNet\Siamese.py", line 45, in inference Siamese_out.append(AlexNet(x[i], self.keep_prob, self.is_train)) TypeError: 'module' object is not callable
during running vector_capsule I got an error from self.configure_network()
`Errors may have originated from an input operation.
Input Source operations connected to node Optimizer/Siamese/fc_caps/W_0:
Optimizer/gradients/Siamese/fc_caps/map/while/MatMul/Enter_grad/b_acc_3 (defined at D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py:160)
Original stack trace for 'Optimizer/Siamese/fc_caps/W_0':
File "main.py", line 42, in
tf.app.run()
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run
_run_main(main, args)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main
sys.exit(main(argv))
File "main.py", line 26, in main
model = SiameseNet(tf.Session(), args, HammingSet)
File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 33, in init
self.configure_network()
File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 169, in configure_network
self.summary_list.append(tf.summary.histogram(var.name, grad))
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\summary\summary.py", line 179, in histogram
tag=tag, values=values, name=scope)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\ops\gen_logging_ops.py", line 329, in histogram_summary
"HistogramSummary", tag=tag, values=values, name=name)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op
op_def=op_def)
File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()`
during running matrix_capsule I got an error from self.configure_network()
Traceback (most recent call last): File "main.py", line 42, in <module> tf.app.run() File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 299, in run _run_main(main, args) File "C:\Users\Owner\Anaconda3\envs\segmentation_model_keras\lib\site-packages\absl\app.py", line 250, in _run_main sys.exit(main(argv)) File "main.py", line 26, in main model = SiameseNet(tf.Session(), args, HammingSet) File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 33, in __init__ self.configure_network() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 146, in configure_network self.loss_func() File "D:\Ramdhan\SSL\Self-Supervised_Jigsaw_Puzzle-master\models\CapsNet\Siamese.py", line 105, in loss_func loss = margin_loss(self.y, self.v_length, self.conf) AttributeError: 'SiameseCapsNet' object has no attribute 'v_length'
The text was updated successfully, but these errors were encountered: