Fail fast on invalid model input shapes with centralized validation #195
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Description
This PR adds centralized input validation for model
forward()inputs to ensure that tensors follow the expected[batch, nodes, features]shape.Previously, invalid input shapes could lead to cryptic PyTorch runtime errors or failures deeper in the computation graph. With this change, models fail fast with clear and informative error messages at the API boundary.
Unit tests are included to verify the validation logic without pulling in heavy optional dependencies.
Fixes #190
How Has This Been Tested?