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Can any one advise how. to solve. this error? I'm using the tensorflow 2.0 branch
The model summaries both for encoder and decoder match exactly what is in the book, but still the following error appears:
202 203 if len(inputs) != len(input_spec):
--> 204 raise ValueError('Layer ' + layer_name + ' expects ' + 205 str(len(input_spec)) + ' input(s), ' 206 'but it received ' + str(len(inputs)) +
ValueError: Layer decoder expects 1 input(s), but it received 3 input tensors. Inputs received: [<tf.Tensor: shape=(32, 200), dtype=float32, numpy= array([[ 0.01030178, -0.04861269, -0.00733997, ..., 0.02568986, -0.05239131, -0.00733766], [-0.00127253, -0.02799501, -0.0425919 , ..., 0.00620324, -0.0299464 , 0.00333741], [ 0.05407003, -0.02429324, -0.05589804, ..., 0.05319941, -0.08304264, 0.07161135], ..., [ 0.08346704, 0.03703439, -0.06609847, ..., 0.01977376, -0.03393014, 0.03309568], [ 0.02445899, -0.0428034 , -0.05705589, ..., -0.00906711, -0.02859434, 0.03962114], [ 0.04257951, 0.03386647, -0.04515634, ..., 0.00611632, -0.02480316, 0.01569294]], dtype=float32)>, <tf.Tensor: shape=(32, 200), dtype=float32, numpy= array([[ 0.03206216, -0.03399059, -0.06497589, ..., -0.06765413, -0.02737037, -0.05021207], [-0.01540099, 0.00128875, -0.03477595, ..., -0.044988 , -0.01605266, -0.06183551], [ 0.03116238, -0.00138427, -0.02849228, ..., -0.0959065 , -0.00479444, -0.1841418 ], ..., [ 0.01189097, 0.05096394, -0.05592664, ..., -0.07456802, 0.04331308, -0.09650087], [ 0.00857047, -0.04397327, -0.02537573, ..., -0.06807566, -0.00480789, -0.0987746 ], [ 0.00909407, 0.04387314, -0.02124518, ..., -0.06648304, -0.03233341, -0.06416956]], dtype=float32)>, <tf.Tensor: shape=(32, 200), dtype=float32, numpy= array([[-0.0837419 , 0.708279 , 0.25303954, ..., -0.15900922, -1.4284643 , -0.8491993 ], [ 0.3428696 , 0.16736755, 1.1209399 , ..., 1.8705027 , 0.61709875, 0.17519997], [-0.7050551 , 0.9497142 , 0.02680028, ..., -0.32644743, -0.28019398, 0.26958627], ..., [-1.0726163 , 0.03182559, -1.1401012 , ..., -0.71741265, -2.19349 , 0.78879917], [ 0.47682956, 0.8727338 , 0.7441382 , ..., -0.49163938, -1.3995049 , 1.3208225 ], [-1.7399087 , -0.2048182 , 0.5106129 , ..., 0.2584384 , 0.7018325 , -0.4878068 ]], dtype=float32)>]
The text was updated successfully, but these errors were encountered:
Hi, I also got the same error and I found the answer in a different question under the same repo: #83 (comment)
Sorry, something went wrong.
i have the same error, #83 can not work!
No branches or pull requests
Can any one advise how. to solve. this error? I'm using the tensorflow 2.0 branch
The model summaries both for encoder and decoder match exactly what is in the book, but still the following error appears:
--> 204 raise ValueError('Layer ' + layer_name + ' expects ' +
205 str(len(input_spec)) + ' input(s), '
206 'but it received ' + str(len(inputs)) +
ValueError: Layer decoder expects 1 input(s), but it received 3 input tensors. Inputs received: [<tf.Tensor: shape=(32, 200), dtype=float32, numpy=
array([[ 0.01030178, -0.04861269, -0.00733997, ..., 0.02568986,
-0.05239131, -0.00733766],
[-0.00127253, -0.02799501, -0.0425919 , ..., 0.00620324,
-0.0299464 , 0.00333741],
[ 0.05407003, -0.02429324, -0.05589804, ..., 0.05319941,
-0.08304264, 0.07161135],
...,
[ 0.08346704, 0.03703439, -0.06609847, ..., 0.01977376,
-0.03393014, 0.03309568],
[ 0.02445899, -0.0428034 , -0.05705589, ..., -0.00906711,
-0.02859434, 0.03962114],
[ 0.04257951, 0.03386647, -0.04515634, ..., 0.00611632,
-0.02480316, 0.01569294]], dtype=float32)>, <tf.Tensor: shape=(32, 200), dtype=float32, numpy=
array([[ 0.03206216, -0.03399059, -0.06497589, ..., -0.06765413,
-0.02737037, -0.05021207],
[-0.01540099, 0.00128875, -0.03477595, ..., -0.044988 ,
-0.01605266, -0.06183551],
[ 0.03116238, -0.00138427, -0.02849228, ..., -0.0959065 ,
-0.00479444, -0.1841418 ],
...,
[ 0.01189097, 0.05096394, -0.05592664, ..., -0.07456802,
0.04331308, -0.09650087],
[ 0.00857047, -0.04397327, -0.02537573, ..., -0.06807566,
-0.00480789, -0.0987746 ],
[ 0.00909407, 0.04387314, -0.02124518, ..., -0.06648304,
-0.03233341, -0.06416956]], dtype=float32)>, <tf.Tensor: shape=(32, 200), dtype=float32, numpy=
array([[-0.0837419 , 0.708279 , 0.25303954, ..., -0.15900922,
-1.4284643 , -0.8491993 ],
[ 0.3428696 , 0.16736755, 1.1209399 , ..., 1.8705027 ,
0.61709875, 0.17519997],
[-0.7050551 , 0.9497142 , 0.02680028, ..., -0.32644743,
-0.28019398, 0.26958627],
...,
[-1.0726163 , 0.03182559, -1.1401012 , ..., -0.71741265,
-2.19349 , 0.78879917],
[ 0.47682956, 0.8727338 , 0.7441382 , ..., -0.49163938,
-1.3995049 , 1.3208225 ],
[-1.7399087 , -0.2048182 , 0.5106129 , ..., 0.2584384 ,
0.7018325 , -0.4878068 ]], dtype=float32)>]
The text was updated successfully, but these errors were encountered: