Fix TBE v2 forward kernel for embedding dim > 1024 (#5326)#5569
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Fix TBE v2 forward kernel for embedding dim > 1024 (#5326)#5569cyyever wants to merge 1 commit intopytorch:mainfrom
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…torch#5569) Summary: Pull Request resolved: pytorch#5569 Test Plan: ## Test Commands buck2 test fbcode//deeplearning/fbgemm/fbgemm_gpu/test/tbe:forward -- ForwardTest.test_forward_gpu_no_cache_fp16 buck2 test fbcode//deeplearning/fbgemm/fbgemm_gpu/test/tbe:forward -- ForwardTest.test_forward_gpu_no_cache_fp32 ## What Is Tested 1. **test_forward_gpu_no_cache_fp16** - Exercises the v2 forward kernel (when use_experimental_tbe=True, generated by Hypothesis) with D in {2..256 step 16, 1024, 1280, 1536, 2048}. Validates FP16 forward correctness for both the small-L and large-L paths with the dynamic early exit fix. T, B, L are capped (T<=2, B<=16, L<=4) for D > 256 to prevent OOM. 2. **test_forward_gpu_no_cache_fp32** - Same D range as above with FP32 weights. Uses proportional max_TBL = max(1, 2048/D) scaling for large D to prevent OOM while still exercising the v2 kernel max_num_warps_per_row computation. Both tests use Hypothesis-generated use_experimental_tbe in {True, False}, covering both the v1 (legacy) and v2 (experimental) kernel paths. BUCK target: fbcode//deeplearning/fbgemm/fbgemm_gpu/test/tbe:forward Reviewed By: henrylhtsang Differential Revision: D99746894 Pulled By: q10
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