Add new model: simple_gpt_tp_manual #1969
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Similar to simple_gpt, but instead of using the DTensor API to apply Tensor Parallelism (TP), we use the manual weights sharding implementation and directly functional collectives. 2 main reasons it is beneficial to add this:
Tests:
in benchmark/
python test.py -k "test_simple_gpt_manual_tp_"
in pytorch/
PYTHONPATH=benchmark/ python pytorch/benchmarks/dynamo/torchbench.py --float16 -dcuda --inference --backend=inductor --multiprocess --performance --only simple_gpt_tp_manual