Error in train_flickr_word2_1_pool.m

Hi I was following your instructions from Readme but while executing train_flickr_word2_1_pool.m appeared an error and I have no idea how to deal with it. Can you please help me?
Error description:

>> train_flickr_word2_1_pool
cnn_train_dag: resetting GPU

ans = 

  CUDADevice with properties:

                      Name: 'GeForce RTX 2060'
                     Index: 1
         ComputeCapability: '7.5'
            SupportsDouble: 1
             DriverVersion: 10.1000
            ToolkitVersion: 8
        MaxThreadsPerBlock: 1024
          MaxShmemPerBlock: 49152
        MaxThreadBlockSize: [1024 1024 64]
               MaxGridSize: [2.1475e+09 65535 65535]
                 SIMDWidth: 32
               TotalMemory: 6.2228e+09
           AvailableMemory: 5.5524e+09
       MultiprocessorCount: 30
              ClockRateKHz: 1200000
               ComputeMode: 'Default'
      GPUOverlapsTransfers: 1
    KernelExecutionTimeout: 1
          CanMapHostMemory: 1
           DeviceSupported: 1
            DeviceSelected: 1

train: epoch 01:   1/253:Error using vl_nnconv
The FILTERS depth does not divide the DATA depth.

Error in dagnn.Conv/forward (line 12)
      outputs{1} = vl_nnconv(...

Error in dagnn.Layer/forwardAdvanced (line 85)
      outputs = obj.forward(inputs, {net.params(par).value}) ;

Error in dagnn.DagNN/eval (line 91)
  obj.layers(l).block.forwardAdvanced(obj.layers(l)) ;

Error in cnn_train_dag>processEpoch (line 222)
      net.eval(inputs, params.derOutputs, 'holdOn', s < params.numSubBatches) ;

Error in cnn_train_dag (line 90)
    [net, state] = processEpoch(net, state, params, 'train',opts) ;

Error in train_flickr_word2_1_pool (line 39)
[net,info] = cnn_train_dag(net, imdb, @getBatch,opts) ;

Reproduce the failure from train_flickr_word2_1_pool.m and inspect the call path through cnn_train_dag, dagnn.Conv/forward, and vl_nnconv. Compare the filter and data depths at the failing convolution and verify the MATLAB, GPU, and MatConvNet setup. Done means identifying the compatibility or configuration cause and documenting a reproducible fix or required versions.