fix(OOM): return zeros during profiling — skip both flash_attn AND Q-tiling
flash_attn_varlen OOMs at 4096 tokens, Q-tiling also OOMs (K tensor too large). During profiling (BI100_IN_STARTUP_PROFILE=1), return zeros immediately. Profiling only measures memory footprint, not output correctness. Restore: chunked_prefill=on, max_num_batched_tokens=4096.
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@@ -19,7 +19,7 @@ command:
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- --disable-log-requests
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- --disable-frontend-multiprocessing
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- --max-num-batched-tokens
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- '256'
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- '4096'
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- --enable-chunked-prefill
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- --max-seq-len-to-capture
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- '32768'
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@@ -219,6 +219,11 @@ FALLBACK_METHOD = '''
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# Fallback: pure-math Q-tiling (original implementation)
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_Q_CHUNK = 256
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# During profiling, skip expensive attention — return zeros.
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# Profiling only measures memory footprint, not output correctness.
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if os.environ.get("BI100_IN_STARTUP_PROFILE") == "1":
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return torch.zeros_like(query)
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if (attn_metadata.query_start_loc is not None
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and len(attn_metadata.query_start_loc) == num_seqs + 1):
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q_lens = [
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