Pytorch's TransformerEncoder anomaly

Hello, I have recently experienced an anomaly related to TransformerEncoder. To be more concrete, here is my model:

```
class SOTC(nn.Module):
def __init__(self, n_seq, n_features, d_model=256, n_head=2, n_enc_layers=1, kernel_size=3, dropout=0.05):
"""
Arguments:
n_seq: int, number of distinct time series (e.g. individual metrics)
n_features: int, amount of data points per time series
d_model: int, transformer encoder dimension
n_head: int, number of attention heads
n_enc_layers: int, number of transformer encoder layers
kernel_size: int, size of the 1D convolutional kernel
dropout: float, dropout …

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