You only have 6 samples?
What I mean is that you need to define which dimension is corresponding to temporal dim. Based on your explanation, it seems you have only 1 timestamp with 3 features for each sample (=6). In this case, your input data has length of 1, but you have defined kernel size = 2, so it’s not valid.
Can you elaborate your data? Because if in_channel=3 and len=1, then you can only define kernel size =1.
In the reference I provided, notice the permute of channels where temporal dimension is moved to last channel.