Apurba Bose

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Hi @narendasan I tested this locally and the test passes now.

I am not sure exactly, but should not these test cases be included in the test_dynamic_fallback.cpp in the TensorRT/tests/cpp tests?

Closing the issue as it has been tested.

The `harness.py` file is changed in this for the cases in which the index is passed in the `forward` function. torch scatter function takes only int64 inputs for index Couple...

Thanks for pointing this out and the above changes! Couple of points- 1. `grid_sampler_2d `would require some additional changes 2. As pointed out by you (thanks!), `upsample` cases do not...

Had a doubt on this PR. Suppose we feed in int64 ITensor for the test case directly as below, the TRTInterpretor would complain saying int64 inputs are not allowed. Meanwhile...

@gs-olive int32 in the test case leads to this error- RuntimeError: gather(): Expected dtype int64 for index