modify PenalizedMCObjective
to support non-batch eval
#2073
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Summary:
To match penalty term with MC objective, we current unsqueeze the first dim which corresponds to the dimension of MC samples. However, when a
qxd
-dim X tensor is evaluated e.g. computing feasibility, it causes shape mismatch. As one would expectq
-dim tensor returned, it will return1xq
-dim tensor instead.To fix, we check the dims of obj; if it is non-mc samples, we will sequeeze the first dim back.
Differential Revision: D49305807