Validate exhaustive autotuning for FP8 Inductor templates (#355)

Summary:

X-link: pytorch/pytorch#161442

Validate exhaustive autotuning for FP8 Inductor templates: scaled MM templates require `block_k >= 32`. Before, exhaustive autotuning defaulted to a limited set of autotuning configs, as limitations for exhaustively autotuning on FP8 shapes had not been tested.

Reviewed By: coconutruben

Differential Revision: D80958642

Author: jananisriram

tritonbench/operators/fp8_gemm/fp8_gemm.py

@@ -17,6 +17,10 @@
 
 from .tutorial import matmul as tutorial_matmul
 
+torch._dynamo.config.recompile_limit = (
+    10000  # Set high recompile limit to allow for exhausting autotuning
+)
+
 logger = logging.getLogger(__name__)
 try:
     from .persistent import (