[https://nvbugs/5832481][test] Add gpt-oss-120b-Eagle3-throughput case on DGX-Spark#11419
[https://nvbugs/5832481][test] Add gpt-oss-120b-Eagle3-throughput case on DGX-Spark#11419JennyLiu-nv merged 3 commits intoNVIDIA:mainfrom
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Signed-off-by: Jenny Liu <JennyLiu-nv+JennyLiu@users.noreply.github.com>
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📝 WalkthroughWalkthroughThese changes update test configurations for GPT-OSS 120B model speculative decoding, replacing the baseline configuration with two Eagle3-specific variants (baseline and throughput-optimized), updating corresponding model path mappings, and refreshing performance test list entries. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes 🚥 Pre-merge checks | ✅ 2 | ❌ 1❌ Failed checks (1 warning)
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tests/integration/defs/perf/pytorch_model_config.py (1)
300-350:⚠️ Potential issue | 🟠 MajorSubstring pattern collision:
gpt_oss_120b_eagle3will matchgpt_oss_120b_eagle3_throughputdue to substring matching.The matching logic at line 399 uses
pattern in model_label.lower(), so when the model label isgpt_oss_120b_eagle3_throughput, the patterngpt_oss_120b_eagle3(line 302) matches first and its config is applied. Then thegpt_oss_120b_eagle3_throughputpattern (line 328) matches and its config is merged on top viarecursive_update.The throughput block does not explicitly set
enable_chunked_prefill, so it silently inheritsenable_chunked_prefill: Truefrom the baseline block (line 309). If this inheritance is unintentional, either:
- Make the baseline pattern more specific to avoid substring collisions (e.g., append a suffix or delimiter), or
- Explicitly set
enable_chunked_prefill: Falsein the throughput block to override.If this inheritance is intentional, add a comment documenting the dependency.
Option A: Add explicit override in the throughput block
# GPT-OSS 120B speculative decoding with Eagle3-throughput (https://nvbugspro.nvidia.com/bug/5832481) { 'patterns': [ 'gpt_oss_120b_eagle3_throughput', ], 'config': { 'enable_attention_dp': False, 'disable_overlap_scheduler': True, 'enable_autotuner': False, + 'enable_chunked_prefill': False, 'cuda_graph_config': { 'enable_padding': True, },Option B: Make baseline pattern more specific
# GPT-OSS 120B speculative decoding with Eagle3 { 'patterns': [ - 'gpt_oss_120b_eagle3', + 'gpt_oss_120b_eagle3-', ],
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…e on DGX-Spark (NVIDIA#11419) Signed-off-by: Jenny Liu <JennyLiu-nv+JennyLiu@users.noreply.github.com> Co-authored-by: Jenny Liu <JennyLiu-nv+JennyLiu@users.noreply.github.com>
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