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wavenet-classifier's Issues

Kernel size error

Ihello
I get this error ---> ValueError: The kernel_size argument must be a tuple of 1 integers. Received: 0 including {0} that does not satisfy the requirement > 0.
when I run this ---> wnc = WaveNetClassifier((320,), (2,),kernel_size = 2, dilation_depth = 9, n_filters = 40, task = 'classification')

ValueError: Exception encountered when calling layer 'reshaped_input' (type Reshape).

i am training with data.Dataset from tensorflow and it appears the following error:

ValueError: Exception encountered when calling layer 'reshaped_input' (type Reshape).

total size of new array must be unchanged, input_shape = [], output_shape = [48000, 1]

Call arguments received by layer 'reshaped_input' (type Reshape):
  • inputs=tf.Tensor(shape=(None,), dtype=float32)

error using wavenet code

I am getting the following error-

File "/media/eee/AA70975870972A59/Monthwise_experiments/april2019/wavenet-classifier-master/WaveNetClassifier.py", line 154, in fit
if self.task == 'classification':

AttributeError: 'WaveNetClassifier' object has no attribute 'task'

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