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fix assert error num_tokens_across_dp is None

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or num_tokens_across_dp[dp_rank] == batchsize

Signed-off-by: yewentao256 <zhyanwentao@126.com>
This commit is contained in:
yewentao256 2025-08-11 13:31:27 -07:00
parent e526b1c091
commit dd2a94fd9d
1 changed files with 11 additions and 3 deletions
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14
vllm/v1/worker/gpu_model_runner.py
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@ -2031,10 +2031,17 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
# Run the model.
# Use persistent buffers for CUDA graphs.
# when DBO is enabled, `num_tokens_after_padding`
# represents the per-ubatch DP token count.
dp_tokens_for_forward = num_tokens_after_padding
if ubatch_slices is not None and num_tokens_after_padding is not None:
dp_tokens_for_forward = num_tokens_after_padding * len(
ubatch_slices)
with set_forward_context(attn_metadata,
vllm_config=self.vllm_config,
num_tokens=num_input_tokens or 1,
num_tokens_across_dp=num_tokens_after_padding,
num_tokens_across_dp=dp_tokens_for_forward,
skip_cuda_graphs=skip_cuda_graphs):
self.maybe_setup_kv_connector(scheduler_output)
model_output = self._run_model(
@ -2693,8 +2700,9 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
assert num_tokens % 2 == 0
num_tokens_per_ubatch = num_tokens // 2
dp_size = self.vllm_config.parallel_config.data_parallel_size
num_tokens_across_dp = torch.tensor([num_tokens_per_ubatch] * dp_size,
device="cpu",
num_tokens_across_dp = torch.tensor([num_tokens_per_ubatch] *
dp_size,
device="cpu",
dtype=torch.int32)
ubatch_slices = [(slice(0,
num_reqs // 2), slice(0, num_tokens // 2)),