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[multihost] Integrate expert parallelism to RayExecutor #1282

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[multihost] Integrate expert parallelism to RayExecutor #1282

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2 changes: 1 addition & 1 deletion tpu_inference/executors/ray_distributed_executor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -366,7 +366,7 @@ def sort_by_driver_then_worker_ip(item: RayWorkerMetaData):
for pp_rank in range(self.parallel_config.pipeline_parallel_size):
self.pp_tp_workers.append([])
num_tp_workers = int(
self.parallel_config.tensor_parallel_size //
self.vllm_config.sharding_config.total_devices //
num_tpu_per_worker)
for tp_rank in range(num_tp_workers):
# PP=2, TP=4, num_tpu_per_worker=2
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