ValueError: No such layer: clustering.

[CoasterJX]

This is what I encountered when running the script. Can anyone help me resolving this issue?

---

Layer (type) Output Shape Param # Connected to

input (InputLayer) [(None, 784)] 0 []

encoder_0 (Dense) (None, 500) 392500 ['input[0][0]']

encoder_1 (Dense) (None, 500) 250500 ['encoder_0[0][0]']

encoder_2 (Dense) (None, 2000) 1002000 ['encoder_1[0][0]']

encoder_3 (Dense) (None, 10) 20010 ['encoder_2[0][0]']

tf.expand_dims (TFOpLambda) (None, 1, 10) 0 ['encoder_3[0][0]']

tf.math.subtract (TFOpLambda) (None, 10, 10) 0 ['tf.expand_dims[0][0]']

tf.math.square (TFOpLambda) (None, 10, 10) 0 ['tf.math.subtract[0][0]']

tf.math.reduce_sum (TFOpLambda (None, 10) 0 ['tf.math.square[0][0]']
)

tf.math.truediv (TFOpLambda) (None, 10) 0 ['tf.math.reduce_sum[0][0]']

tf.operators.add (TFOpLamb (None, 10) 0 ['tf.math.truediv[0][0]']
da)

tf.math.truediv_1 (TFOpLambda) (None, 10) 0 ['tf.operators.add[0][0]']

tf.math.pow (TFOpLambda) (None, 10) 0 ['tf.math.truediv_1[0][0]']

tf.compat.v1.transpose (TFOpLa (10, None) 0 ['tf.math.pow[0][0]']
mbda)

tf.math.reduce_sum_1 (TFOpLamb (None,) 0 ['tf.math.pow[0][0]']
da)

tf.math.truediv_2 (TFOpLambda) (10, None) 0 ['tf.compat.v1.transpose[0][0]', 'tf.math.reduce_sum_1[0][0]']

tf.compat.v1.transpose_1 (TFOp (None, 10) 0 ['tf.math.truediv_2[0][0]']
Lambda)

================================================================================================== Total params: 1,665,010 Trainable params: 1,665,010 Non-trainable params: 0

---

Update interval 140 Save interval 1365 Initializing cluster centers with k-means. 2188/2188 [==============================] - 10s 4ms/step Traceback (most recent call last): File "DEC.py", line 335, in y_pred = dec.fit(x, y=y, tol=args.tol, maxiter=args.maxiter, batch_size=args.batch_size, File "DEC.py", line 210, in fit self.model.get_layer(name='clustering').set_weights([kmeans.clustercenters]) File "/research/DEC_Pytorch_tutorial/dec_venv/lib/python3.8/site-packages/keras/engine/training.py", line 3353, in get_layer raise ValueError( ValueError: No such layer: clustering. Existing layers are: ['input', 'encoder_0', 'encoder_1', 'encoder_2', 'encoder_3', 'tf.expand_dims', 'tf.math.subtract', 'tf.math.square', 'tf.math.reduce_sum', 'tf.math.truediv', 'tf.operators.add', 'tf.math.truediv_1', 'tf.math.pow', 'tf.compat.v1.transpose', 'tf.math.reduce_sum_1', 'tf.math.truediv_2', 'tf.compat.v1.transpose_1'].

[ykai16]

Hi, @CoasterJX did you solve this issue? Having this same error now. Really Hope the author can chime in and provide a solution. Thanks.

[ykai16]

@XifengGuo Hi Xifeng, could you help take a look at this issue? Much appreciated!