Revert "[V1][Core] Fix memory issue with logits & sampling" (#13775)

vllm/v1/worker/gpu_worker.py

@@ -211,16 +211,6 @@ class Worker(WorkerBase):
             self.model_runner._dummy_run(size)
         if not self.model_config.enforce_eager:
             self.model_runner.capture_model()
-
-        # Warm up sampler and preallocate memory buffer for logits and other
-        # sampling related tensors of max possible shape to avoid memory
-        # fragmentation issue.
-        # NOTE: This is called after `capture_model` on purpose to prevent
-        # memory buffers from being cleared by `torch.cuda.empty_cache`.
-        self.model_runner._dummy_sampler_run(
-            hidden_states=self.model_runner._dummy_run(
-                num_tokens=self.scheduler_config.max_num_seqs))
-
         # Reset the seed to ensure that the random state is not affected by
         # the model initialization and profiling.
         set_random_seed(self.model_config.seed)