For starters, it looks like your in_channels argument is taking the value 60000. I believe that needs to be 1.
Conv1d expects inputs in the shape (batch_size, n_channels, Seq Length), so your data must be reshaped as (40, 1, 60000)
CN = torch.nn.Conv1d(in_channels=1, out_channels=64, kernel_size=3)
trial = torch.randn((40, 60000))
out = CN(trial.reshape(40, 1, 60000)) 

# out is of shape [40, 64, 59998] , 59998 being the expected number of samples after convolution