Issue while running

[zxcve]

Hi ,
I keep getting this error:
Traceback (most recent call last):
File "fl_client.py", line 214, in
FederatedClient("127.0.0.1", 5000, datasource.Mnist)
File "fl_client.py", line 92, in init
self.sio.wait()
File "C:\Users\zxcve\Anaconda3\lib\site-packages\socketIO_client_init_.py", line 251, in wait
self.process_packets()
File "C:\Users\zxcve\Anaconda3\lib\site-packages\socketIO_client_init.py", line 278, in _process_packets
self.process_packet(engineIO_packet)
File "C:\Users\zxcve\Anaconda3\lib\site-packages\socketIO_client_init.py", line 491, in process_packet
delegate(parse_socketIO_packet_data(socketIO_packet_data), namespace)
File "C:\Users\zxcve\Anaconda3\lib\site-packages\socketIO_client_init.py", line 513, in _on_event
namespace._find_packet_callback(event)(*args)
File "fl_client.py", line 139, in on_request_update
my_weights, train_loss, train_accuracy = self.local_model.train_one_round()
File "fl_client.py", line 57, in train_one_round
validation_data=(self.x_valid, self.y_valid))
File "C:\Users\zxcve\Anaconda3\lib\site-packages\keras\models.py", line 893, in fit
initial_epoch=initial_epoch)
File "C:\Users\zxcve\Anaconda3\lib\site-packages\keras\engine\training.py", line 1555, in fit
batch_size=batch_size)
File "C:\Users\zxcve\Anaconda3\lib\site-packages\keras\engine\training.py", line 1413, in _standardize_user_data
exception_prefix='target')
File "C:\Users\zxcve\Anaconda3\lib\site-packages\keras\engine\training.py", line 142, in _standardize_input_data
str(array.shape))
ValueError: Error when checking target: expected dense_2 to have 2 dimensions, but got array with shape (1200, 1, 10)
disconnect

Do you know fix for this?

[DockerBB]

    self.x_train = self.x[0:num_train]
    self.x_test = self.x[num_train:num_train + num_test]
    self.x_valid = self.x[num_train + num_test:]
    self.y_train = self.y[0:num_train]
    self.y_train = self.y_train.reshape(self.y_train.shape[0])
    self.y_test = self.y[num_train:num_train + num_test]
    self.y_test = self.y_test.reshape(self.y_test.shape[0])
    self.y_valid = self.y[num_train + num_test:]
    self.y_valid = self.y_valid.reshape(self.y_valid.shape[0])

need reshape