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38 lines
1.7 KiB
Python
38 lines
1.7 KiB
Python
# Copyright 2023-2026 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Per-forward metadata for decode context parallel (DCP)."""
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from dataclasses import dataclass
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from typing import Optional
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import torch
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# NOTE: This is intentionally a standalone dataclass, NOT a subclass of
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# layers.cp.base.BaseContextParallelMetadata. It is preserved verbatim from #14194
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# and is stored in its own ForwardBatch field (attn_dcp_metadata), separate from the
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# prefill-CP attn_cp_metadata, so it never participates in the CP-v2 build_metadata
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# contract today. Whether the decode metadata should re-parent onto
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# BaseContextParallelMetadata is deferred to P2 (DecodeContextParallelStrategy); decide
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# it there rather than coupling this relocation to the CP-v2 ABC.
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@dataclass
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class DecodeContextParallelMetadata:
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# For decode context parallel
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dcp_kv_indptr: Optional[torch.Tensor] = None
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dcp_kv_buffer: Optional[torch.Tensor] = None
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dcp_kv_indices: Optional[torch.Tensor] = None
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dcp_local_prefix_kv_indices: Optional[torch.Tensor] = None
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dcp_extend_prefix_lens_sum: Optional[int] = None
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