[HotFix]: Add missing SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL env var (#12776)
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@@ -215,6 +215,7 @@ class Envs:
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SGLANG_EXPERT_LOCATION_UPDATER_LOG_METRICS = EnvBool(False)
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SGLANG_LOG_EXPERT_LOCATION_METADATA = EnvBool(False)
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SGLANG_EXPERT_DISTRIBUTION_RECORDER_DIR = EnvStr("/tmp")
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SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL = EnvInt(0)
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# TBO
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SGLANG_TBO_DEBUG = EnvBool(False)
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@@ -31,7 +31,7 @@ from sglang.srt.environ import envs
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from sglang.srt.metrics.collector import ExpertDispatchCollector
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from sglang.srt.model_executor.forward_batch_info import ForwardBatch
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from sglang.srt.server_args import ServerArgs
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from sglang.srt.utils import Withable, is_npu
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from sglang.srt.utils import Withable, get_int_env_var, is_npu
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_is_npu = is_npu()
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@@ -716,11 +716,8 @@ class _UtilizationRateAccumulatorMixin(_Accumulator):
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def _collect_metrics_if_needed(self, gpu_physical_count: torch.Tensor):
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# sglang:eplb_gpu_physical_count metric is disabled if SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL <= 0
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if (
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envs.SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL > 0
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and self._collection_counter % envs.SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL
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== 0
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):
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interval = get_int_env_var("SGLANG_EPLB_HEATMAP_COLLECTION_INTERVAL", 0)
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if interval > 0 and self._collection_counter % interval == 0:
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for layer_idx in range(self._expert_location_metadata.num_layers):
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count_of_layer = (
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self._expert_dispatch_collector.eplb_gpu_physical_count.labels(
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