Add mxfp8_blackwell_attentions benchmark to TritonBench#1012
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Add mxfp8_blackwell_attentions benchmark to TritonBench#1012
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Summary: The non-persistent fwd-only TLX benchmark is redundant now that the persistent variant (tlx_blackwell_ws_pipelined_persistent) supports both fwd and bwd. Remove the benchmark method, metadata entries, and documentation references. Differential Revision: D100629607
Summary: Add a new OSS TritonBench operator for benchmarking the TLX MXFP8 Flash Attention kernel on Blackwell GPUs. The operator imports the kernel directly from the TLX tutorials (blackwell_fa_ws_pipelined_persistent_mxfp8.py) and generates quantized MXFP8 inputs with proper scale tensors. Differential Revision: D100634593
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Summary: Add a new OSS TritonBench operator for benchmarking the TLX MXFP8 Flash Attention kernel on Blackwell GPUs. The operator imports the kernel directly from the TLX tutorials (blackwell_fa_ws_pipelined_persistent_mxfp8.py) and generates quantized MXFP8 inputs with proper scale tensors.
Differential Revision: D100634593