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fmassa avatar fmassa commented on July 2, 2024

@Trami1995 parallel decoding is done in

hs = self.transformer(self.input_proj(src), mask, self.query_embed.weight, pos[-1])[0]

As you can see, self.query_embed.weight is fed to the Transformer and used as the query_pos in
pos=pos_embed, query_pos=query_embed)
, which performs all the computations in parallel.

For information, self.query_embed.weight is a 100x256tensor, so all the 100 object queries are processed in parallel inside the decoder.

from detr.

fmassa avatar fmassa commented on July 2, 2024

I believe I have answered your question, and as such I'm closing the issue, but please let us know if you have follow-up questions.

from detr.

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