fix the self_attn module of DecoderLayer #22
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Your paper specifies that the Decoder section performs a stacked multi-head self-attention operation, however I have found in the code that the behavior of the DecoderLayer class is inconsistent with the above description. By printing the attn_output_weights of the self_attn module, I found attention map shaped '([L, 1, 1])', and there is clearly a problem with such an attention computation. I provided a quickfix in this PR.