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Traceback (most recent call last):
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 173, in
tf.compat.v1.app.run()
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "D:\python\lib\site-packages\absl\app.py", line 303, in run
_run_main(main, args)
File "D:\python\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 169, in main
my_train()
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 91, in my_train
true_label_features_64, false_label_features_64, FLAGS.fea_layer_name, age_label)
File "C:\Users\happy\PycharmProjects\Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master\models.py", line 186, in train_age_lsgan_transfer
self.face_age_alexnet(source_img_227, if_age=True)
File "C:\Users\happy\PycharmProjects\Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master\models.py", line 71, in face_age_alexnet
conv1 = conv(x, 11, 11, 96, 4, 4, padding='VALID', name='conv1')
File "./tools\ops.py", line 57, in conv
weights = tf.get_variable('weights', shape=[filter_height, filter_width, input_channels / groups, num_filters])
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 1573, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 1316, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 568, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 520, in _true_getter
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 851, in _get_single_variable
shape = tensor_shape.as_shape(shape)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 1218, in as_shape
return TensorShape(shape)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 771, in init
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 771, in
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 716, in as_dimension
return Dimension(value)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 200, in init
None)
File "", line 3, in raise_from
TypeError: Dimension value must be integer or None or have an index method, got 3.0
Process finished with exit code 1 @dawei6875797 How to solve this problem when training the model please!!!
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last):
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 173, in
tf.compat.v1.app.run()
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "D:\python\lib\site-packages\absl\app.py", line 303, in run
_run_main(main, args)
File "D:\python\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 169, in main
my_train()
File "C:/Users/happy/PycharmProjects/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/age_lsgan_transfer.py", line 91, in my_train
true_label_features_64, false_label_features_64, FLAGS.fea_layer_name, age_label)
File "C:\Users\happy\PycharmProjects\Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master\models.py", line 186, in train_age_lsgan_transfer
self.face_age_alexnet(source_img_227, if_age=True)
File "C:\Users\happy\PycharmProjects\Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master\models.py", line 71, in face_age_alexnet
conv1 = conv(x, 11, 11, 96, 4, 4, padding='VALID', name='conv1')
File "./tools\ops.py", line 57, in conv
weights = tf.get_variable('weights', shape=[filter_height, filter_width, input_channels / groups, num_filters])
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 1573, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 1316, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 568, in get_variable
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 520, in _true_getter
aggregation=aggregation)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 851, in _get_single_variable
shape = tensor_shape.as_shape(shape)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 1218, in as_shape
return TensorShape(shape)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 771, in init
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 771, in
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 716, in as_dimension
return Dimension(value)
File "C:\Users\happy\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\tensor_shape.py", line 200, in init
None)
File "", line 3, in raise_from
TypeError: Dimension value must be integer or None or have an index method, got 3.0
Process finished with exit code 1
@dawei6875797 How to solve this problem when training the model please!!!
The text was updated successfully, but these errors were encountered: