wehub-resource-sync
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""DeepSeek V4 model — hardware-isolated entry point.
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The actual implementation lives under ``nvidia/`` and ``amd/``; this module
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picks the right one for the current platform and re-exports the public
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classes used by the model registry and quantization config lookup.
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"""
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from vllm.platforms import current_platform
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from .quant_config import DeepseekV4FP8Config
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# Pick the per-platform implementation. The NVIDIA branch is the static
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# default that mypy sees; the ROCm/XPU branches override at runtime and are
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# kept type-compatible via ``# type: ignore[assignment]``.
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if current_platform.is_rocm():
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from .amd.dspark import ( # type: ignore[assignment]
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DSparkDeepseekV4ForCausalLM,
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)
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from .amd.model import DeepseekV4ForCausalLM
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from .amd.mtp import DeepSeekV4MTP
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elif current_platform.is_xpu():
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from .xpu.model import DeepseekV4ForCausalLM # type: ignore[assignment]
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from .xpu.mtp import DeepSeekV4MTP # type: ignore[assignment]
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DSparkDeepseekV4ForCausalLM = None # type: ignore[assignment, misc]
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else:
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from .nvidia.dspark import ( # type: ignore[assignment]
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DSparkDeepseekV4ForCausalLM,
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)
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from .nvidia.model import DeepseekV4ForCausalLM # type: ignore[assignment]
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from .nvidia.mtp import DeepSeekV4MTP # type: ignore[assignment]
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__all__ = [
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"DSparkDeepseekV4ForCausalLM",
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"DeepSeekV4MTP",
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"DeepseekV4FP8Config",
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"DeepseekV4ForCausalLM",
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]
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