No module named 'Toolbox'

[Shanyaodedanshen]

File "D:\temp\BS-Nets-master\utility.py", line 5, in
from Toolbox.Preprocessing import Processor
ModuleNotFoundError: No module named 'Toolbox'

Could U tell me how to solve it? Thank you.

[AngryCai]

Change 'from Toolbox.Preprocessing import Processor' to:
from Preprocessing import Processor

[Shanyaodedanshen]

Thanks.

[Shanyaodedanshen]

E:\Anaconda\anaconda\python.exe D:/temp/BS-Nets-master/BS_Net_Conv.py
./Dataset/Indian_pines_corrected.mat
img block shape: (16900, 16, 16, 200)
D:/temp/BS-Nets-master/BS_Net_Conv.py:245: DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead
time_start = time.clock()
2020-01-10 21:53:17.849705: I d:\build\tensorflow\tensorflow-r1.9\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-01-10 21:53:17.855191: I d:\build\tensorflow\tensorflow-r1.9\tensorflow\core\common_runtime\process_util.cc:69] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Traceback (most recent call last):
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1322, in _do_call
return fn(*args)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Inputs to operation gradients/AddN_16 of type _MklAddN must have the same size and shape. Input 0: [1638400] != input 1: [32,16,16,200]
[[Node: gradients/AddN_16 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/attention-1/Conv2D_grad/tuple/control_dependency, gradients/mul_grad/tuple/control_dependency_1, gradients/attention-1/Conv2D_grad/tuple/control_dependency:1, gradients/mul_grad/tuple/control_dependency_1:1)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:/temp/BS-Nets-master/BS_Net_Conv.py", line 247, in
acnn.fit(img_block, img=X_img, gt=gt, N_BAND=N_BAND)
File "D:/temp/BS-Nets-master/BS_Net_Conv.py", line 119, in fit
train_op.run(feed_dict={self.x_placehoder: x_batch, self.is_training: True})
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 2399, in run
_run_using_default_session(self, feed_dict, self.graph, session)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 5248, in _run_using_default_session
session.run(operation, feed_dict)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
run_metadata_ptr)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run
run_metadata)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Inputs to operation gradients/AddN_16 of type _MklAddN must have the same size and shape. Input 0: [1638400] != input 1: [32,16,16,200]
[[Node: gradients/AddN_16 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/attention-1/Conv2D_grad/tuple/control_dependency, gradients/mul_grad/tuple/control_dependency_1, gradients/attention-1/Conv2D_grad/tuple/control_dependency:1, gradients/mul_grad/tuple/control_dependency_1:1)]]

Caused by op 'gradients/AddN_16', defined at:
File "D:/temp/BS-Nets-master/BS_Net_Conv.py", line 247, in
acnn.fit(img_block, img=X_img, gt=gt, N_BAND=N_BAND)
File "D:/temp/BS-Nets-master/BS_Net_Conv.py", line 105, in fit
train_op = tf.train.AdamOptimizer(learning_rate=self.lr).minimize(self.loss_recons)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\training\optimizer.py", line 399, in minimize
grad_loss=grad_loss)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\training\optimizer.py", line 511, in compute_gradients
colocate_gradients_with_ops=colocate_gradients_with_ops)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 532, in gradients
gate_gradients, aggregation_method, stop_gradients)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 633, in _GradientsHelper
aggregation_method)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 1005, in _AggregatedGrads
out_grads[i] = _MultiDeviceAddN(out_grad, gradient_uid)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 891, in _MultiDeviceAddN
summands.append(math_ops.add_n(tensors))
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2125, in add_n
return gen_math_ops.add_n(inputs, name=name)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 368, in add_n
"AddN", inputs=inputs, name=name)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 3414, in create_op
op_def=op_def)
File "E:\Anaconda\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 1740, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Inputs to operation gradients/AddN_16 of type _MklAddN must have the same size and shape. Input 0: [1638400] != input 1: [32,16,16,200]
[[Node: gradients/AddN_16 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/attention-1/Conv2D_grad/tuple/control_dependency, gradients/mul_grad/tuple/control_dependency_1, gradients/attention-1/Conv2D_grad/tuple/control_dependency:1, gradients/mul_grad/tuple/control_dependency_1:1)]]
Process finished with exit code 1

Could U help me?

[ucalyptus]

@Shanyaodedanshen what is ur tf version? Must be above 1.13 .
tf.contrib has been deprecated which is why most functionalities are not working.