traceback.txt

None
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Traceback (most recent call last):
  File "/home/redkitters/projects/python/keysmashzappies/train.py", line 181, in <module>
    tune()
  File "/home/redkitters/projects/python/keysmashzappies/train.py", line 175, in tune
    hist, _ = train_model(conv_layers, fully_connected_layers, dropout_p)
  File "/home/redkitters/projects/python/keysmashzappies/train.py", line 114, in train_model
    x = MaxPooling1D(pool_size=pooling_size)(x)
  File "/home/redkitters/projects/python/keysmashzappies/venv/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 67, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/redkitters/projects/python/keysmashzappies/venv/lib/python3.10/site-packages/keras/backend.py", line 6106, in pool2d
    x = tf.compat.v1.nn.max_pool(
ValueError: Exception encountered when calling layer "max_pooling1d_18" (type MaxPooling1D).

Negative dimension size caused by subtracting  from  for '{{node max_pooling1d_18/MaxPool}} = MaxPool[T=DT_FLOAT, data_format="NHWC", explicit_paddings=[], ksize=[1, 3, 1, 1], padding="VALID", strides=[1, 3, 1, 1]](max_pooling1d_18/ExpandDims)' with input shapes: [?,1,1,128].

Call arguments received by layer "max_pooling1d_18" (type MaxPooling1D):
  • inputs=tf.Tensor(shape=(None, 1, 128), dtype=float32)