Fix(informer): Correct tensor shape for input_size=1 (#38856)
* Fix(time_series): Correct scaler tensor shape in base model
The create_network_inputs function in TimeSeriesTransformerModel
handled the scaler's loc and scale tensors inconsistently.
When input_size=1, the tensors were not squeezed, leading to
downstream dimension errors for models like Informer.
This commit refactors the logic to unconditionally apply .squeeze(1),
which correctly handles all input_size cases and fixes the bug at its source.
Fixes #38745
* Fix(time_series): Correct scaler tensor shape in base model
The create_network_inputs function in TimeSeriesTransformerModel
handled the scaler's loc and scale tensors inconsistently.
When input_size=1, the tensors were not squeezed, leading to
downstream dimension errors for models like Informer.
This commit refactors the logic to unconditionally apply .squeeze(1),
which correctly handles all input_size cases and fixes the bug at its source.
Fixes #38745
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Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>