[DP Attn] Fix crash for no token all-gather case (#39899)
Co-authored-by: Byron Hsu <byron+per@periodiclabs.ai>
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@@ -15,6 +15,7 @@ from unittest.mock import MagicMock
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import torch
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from sglang.srt.layers.logits_processor import LogitsMetadata, LogitsProcessor
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from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMode
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from sglang.srt.model_executor.runner.decode_cuda_graph_runner import (
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DecodeCudaGraphRunner,
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@@ -40,6 +41,31 @@ def _logits_output(num_rows: int) -> SimpleNamespace:
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class TestMlpSyncPadUnpad(CustomTestCase):
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def test_idle_rank_does_not_index_dummy_last_token(self):
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# MLP-sync turns an idle rank into a dummy zero-token EXTEND batch.
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empty = torch.empty(0, dtype=torch.int64)
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batch = ForwardBatch(
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forward_mode=ForwardMode.EXTEND,
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batch_size=1,
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input_ids=empty,
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req_pool_indices=torch.tensor([0]),
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seq_lens=torch.tensor([0]),
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out_cache_loc=empty,
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seq_lens_sum=0,
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positions=empty,
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extend_seq_lens=torch.tensor([0]),
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extend_seq_lens_cpu=[0],
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_original_forward_mode=ForwardMode.IDLE,
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_original_batch_size=0,
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)
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hidden = torch.empty(0, 4)
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pruned, *_ = LogitsProcessor._get_pruned_states(
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None, hidden, None, None, LogitsMetadata.from_forward_batch(batch)
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)
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self.assertEqual(pruned.shape, (0, 4))
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# Attention and MLP execution still use the padded mode.
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self.assertEqual(batch.forward_mode, ForwardMode.EXTEND)
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def test_init_mlp_sync_metadata_scales_speculative_request_width(self):
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spec_info = SimpleNamespace(
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num_tokens_per_req=4,
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