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82 lines
2.7 KiB
Markdown
82 lines
2.7 KiB
Markdown
# FastDeploy 环境变量说明
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FastDeploy 的环境变量保存在了代码库根目录下 fastdeploy/envs.py 文件中，以下是其对应的中文版说明：
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```python
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environment_variables: dict[str, Callable[[], Any]] = {
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# 构建 FastDeploy 时使用的 CUDA 架构版本，这是一个字符串列表，例如[80,90]
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"FD_BUILDING_ARCS":
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lambda: os.getenv("FD_BUILDING_ARCS", "[]"),
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# 日志目录
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"FD_LOG_DIR":
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lambda: os.getenv("FD_LOG_DIR", "log"),
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# 是否启用调试模式，可设置为 0 或 1
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"FD_DEBUG":
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lambda: os.getenv("FD_DEBUG", "0"),
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# FastDeploy 日志保留天数
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"FD_LOG_BACKUP_COUNT":
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lambda: os.getenv("FD_LOG_BACKUP_COUNT", "7"),
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# 模型下载缓存目录
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"FD_MODEL_CACHE":
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lambda: os.getenv("FD_MODEL_CACHE", None),
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# 停止序列的最大数量
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"FD_MAX_STOP_SEQS_NUM":
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lambda: os.getenv("FD_MAX_STOP_SEQS_NUM", "5"),
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# 停止序列的最大长度
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"FD_STOP_SEQS_MAX_LEN":
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lambda: os.getenv("FD_STOP_SEQS_MAX_LEN", "8"),
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# 将要使用的GPU设备，这是一个用逗号分隔的字符串，例如 0,1,2
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"CUDA_VISIBLE_DEVICES":
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lambda: os.getenv("CUDA_VISIBLE_DEVICES", None),
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# 是否使用 HuggingFace 分词器
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"FD_USE_HF_TOKENIZER":
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lambda: bool(int(os.getenv("FD_USE_HF_TOKENIZER", 0))),
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# 设置 ZMQ 初始化期间接收数据的高水位标记（HWM）
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"FD_ZMQ_SNDHWM":
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lambda: os.getenv("FD_ZMQ_SNDHWM", 10000),
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# 缓存 KV 量化参数的目录
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"FD_CACHE_PARAMS":
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lambda: os.getenv("FD_CACHE_PARAMS", "none"),
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# 设置注意力机制后端，当前可设置为 "NATIVE_ATTN"、"APPEND_ATTN" 或 "MLA_ATTN"
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"FD_ATTENTION_BACKEND":
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lambda: os.getenv("FD_ATTENTION_BACKEND", "APPEND_ATTN"),
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# 设置采样类别，当前可设置为 "base"、"base_non_truncated"、"air" 或 "rejection"
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"FD_SAMPLING_CLASS":
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lambda: os.getenv("FD_SAMPLING_CLASS", "base"),
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# 设置MoE后端，当前可设置为 "cutlass"、"marlin" 或 "triton"
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"FD_MOE_BACKEND":
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lambda: os.getenv("FD_MOE_BACKEND", "cutlass"),
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# 设置 Triton 内核 JIT 编译目录
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"FD_TRITON_KERNEL_CACHE_DIR":
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lambda: os.getenv("FD_TRITON_KERNEL_CACHE_DIR", None),
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# 是否从单机 PD 分离转换为集中式推理
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"FD_PD_CHANGEABLE":
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lambda: os.getenv("FD_PD_CHANGEABLE", "1"),
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# 是否使用DeepGemm后端的FP8 blockwise MoE.
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"FD_USE_DEEP_GEMM":
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lambda: bool(int(os.getenv("FD_USE_DEEP_GEMM", "0"))),
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# 是否启用模型权重缓存功能
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"FD_ENABLE_MODEL_LOAD_CACHE": lambda: bool(int(os.getenv("FD_ENABLE_MODEL_LOAD_CACHE", "0"))),
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# 是否使用 Machete 后端的 wint4 GEMM.
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"FD_USE_MACHETE": lambda: os.getenv("FD_USE_MACHETE", "0"),
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}
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```
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