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When I use mask2former_learn_prompt_bs16_10k.yaml to get proposal classification, i got an error "RuntimeError: The size of tensor a (211) must match the size of tensor b (197) at non-singleton dimension 1". I checked the size is (224, 244), but the position embedding is (197, n_dim). Is the predefined size wrong?
The text was updated successfully, but these errors were encountered:
Logically, there will be no problem of predefined size errors. You can provide the specific code location where the error is reported to facilitate locating the problem.
When I use mask2former_learn_prompt_bs16_10k.yaml to get proposal classification, i got an error "RuntimeError: The size of tensor a (211) must match the size of tensor b (197) at non-singleton dimension 1". I checked the size is (224, 244), but the position embedding is (197, n_dim). Is the predefined size wrong?
The text was updated successfully, but these errors were encountered: