I trained the model according to the usage instructions, and also downloaded the given data set, but the following error will occur during training. Can anyone help me?
Using Theano backend.
E:\anaconda\lib\site-packages\theano\gpuarray\dnn.py:184: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to a version >= v5 and <= v7.
warnings.warn("Your cuDNN version is more recent than "
Using cuDNN version 7401 on context None
Mapped name None to device cuda: GeForce GTX 1060 (0000:01:00.0)
Traceback (most recent call last):
File "main.py", line 169, in
main()
File "main.py", line 165, in main
inference(config, cla)
File "main.py", line 108, in inference
load_checkpoint=cla.load_checkpoint, print_model_summary=cla.print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 67, in init
self.model = self.setup_model(load_checkpoint, print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 76, in setup_model
model = self.build_model()
File "E:\speech-denoising-wavenet-master\models.py", line 220, in build_model
name='data_input_target_field_length')(data_expanded)
File "E:\anaconda\lib\site-packages\keras\engine\base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "E:\speech-denoising-wavenet-master\layers.py", line 47, in call
x = keras.backend.permute_dimensions(x, [0, 2, 1])
File "E:\anaconda\lib\site-packages\keras\backend\theano_backend.py", line 936, in permute_dimensions
y._keras_shape = tuple(np.asarray(x._keras_shape)[list(pattern)])
IndexError: index 2 is out of bounds for axis 0 with size 2
@drethage
I trained the model according to the usage instructions, and also downloaded the given data set, but the following error will occur during training. Can anyone help me? Using Theano backend. E:\anaconda\lib\site-packages\theano\gpuarray\dnn.py:184: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to a version >= v5 and <= v7. warnings.warn("Your cuDNN version is more recent than " Using cuDNN version 7401 on context None Mapped name None to device cuda: GeForce GTX 1060 (0000:01:00.0) Traceback (most recent call last): File "main.py", line 169, in
main()
File "main.py", line 165, in main
inference(config, cla)
File "main.py", line 108, in inference
load_checkpoint=cla.load_checkpoint, print_model_summary=cla.print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 67, in init
self.model = self.setup_model(load_checkpoint, print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 76, in setup_model
model = self.build_model()
File "E:\speech-denoising-wavenet-master\models.py", line 220, in build_model
name='data_input_target_field_length')(data_expanded)
File "E:\anaconda\lib\site-packages\keras\engine\base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "E:\speech-denoising-wavenet-master\layers.py", line 47, in call
x = keras.backend.permute_dimensions(x, [0, 2, 1])
File "E:\anaconda\lib\site-packages\keras\backend\theano_backend.py", line 936, in permute_dimensions
y._keras_shape = tuple(np.asarray(x._keras_shape)[list(pattern)])
IndexError: index 2 is out of bounds for axis 0 with size 2
@drethage