Error while running TSMixer.ipynb

TypeError Traceback (most recent call last) Cell In[12], line 1 ----> 1 model = build_model( 2 input_shape=(512, data_loader.n_feature), 3 pred_len=96, 4 n_block=8, 5 ff_dim=64, 6 target_slice=data_loader.target_slice 7 )

Cell In[11], line 12, in build_model(input_shape, pred_len, n_block, ff_dim, targetslice) 10 x = inputs # [Batch, Input Length, Channel] 11 for in range(n_block): ---> 12 x = res_block(x, ff_dim) 14 if target_slice: 15 x = x[:, :, target_slice]

Cell In[7], line 8, in res_block(inputs, ff_dim) 5 norm = layers.BatchNormalization 7 # Time mixing ----> 8 x = norm(axis=[-2, -1])(inputs) 9 x = tf.transpose(x, perm=[0, 2, 1]) # [Batch, Channel, Input Length] 10 x = layers.Dense(x.shape[-1], activation='relu')(x)

File ~/.local/lib/python3.10/site-packages/keras/src/layers/normalization/batch_normalization.py:144, in BatchNormalization.init(self, axis, momentum, epsilon, center, scale, beta_initializer, gamma_initializer, moving_mean_initializer, moving_variance_initializer, beta_regularizer, gamma_regularizer, beta_constraint, gamma_constraint, synchronized, kwargs) 125 def init( 126 self, 127 axis=-1, (...) 141 kwargs, 142 ): 143 super().init(**kwargs) --> 144 self.axis = int(axis) 146 if synchronized and backend.backend() != "tensorflow": 147 raise ValueError( 148 "Argument synchronized=True is only supported " 149 "with the TensorFlow backend." 150 )

TypeError: int() argument must be a string, a bytes-like object or a real number, not 'list'

marcopeix / time-series-analysis

Error while running TSMixer.ipynb #11