# 框架环境变量
| 环境变量 | 说明 | 默认值 |
|-----------------------------|----------|-------------|
| TI_MODEL_DIR | 模型路径 | /data/model |
| TI_PREPROCESS_NUMS | 预处理进程数 | 0 |
| TI_INFERENCE_NUMS | 推理进程数 | 1 |
| TI_POSTPROCESS_NUMS | 后处理进程数 | 0 |
| TI_INFERENCE_MAX_BATCH_SIZE | 推理Batch数 | 1 |
## 说明
- 当TI_PREPROCESS_NUMS==0且TI_POSTPROCESS_NUMS==0时;
model_service.py 文件中preprocess,postpress,predict 函数在一个进程中执行
- 否则,model_service.py 文件中preprocess, postpress, predict 函数分别处于不同进程中执行,
load 函数与predict 函数处于同一进程;
Raw data
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"requires_python": ">=3.6",
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"keywords": "machine learning,deep learning,model serving",
"author": "hayescao",
"author_email": "Hayescao <hayescao@tencent.com>",
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"description": "# \u6846\u67b6\u73af\u5883\u53d8\u91cf\n\n| \u73af\u5883\u53d8\u91cf | \u8bf4\u660e | \u9ed8\u8ba4\u503c |\n|-----------------------------|----------|-------------|\n| TI_MODEL_DIR | \u6a21\u578b\u8def\u5f84 | /data/model |\n| TI_PREPROCESS_NUMS | \u9884\u5904\u7406\u8fdb\u7a0b\u6570 | 0 |\n| TI_INFERENCE_NUMS | \u63a8\u7406\u8fdb\u7a0b\u6570 | 1 |\n| TI_POSTPROCESS_NUMS | \u540e\u5904\u7406\u8fdb\u7a0b\u6570 | 0 |\n| TI_INFERENCE_MAX_BATCH_SIZE | \u63a8\u7406Batch\u6570 | 1 |\n\n## \u8bf4\u660e\n\n- \u5f53TI_PREPROCESS_NUMS==0\u4e14TI_POSTPROCESS_NUMS==0\u65f6; \n \n model_service.py \u6587\u4ef6\u4e2dpreprocess\uff0cpostpress\uff0cpredict \u51fd\u6570\u5728\u4e00\u4e2a\u8fdb\u7a0b\u4e2d\u6267\u884c\n\n- \u5426\u5219\uff0cmodel_service.py \u6587\u4ef6\u4e2dpreprocess, postpress, predict \u51fd\u6570\u5206\u522b\u5904\u4e8e\u4e0d\u540c\u8fdb\u7a0b\u4e2d\u6267\u884c\uff0c\n\n load \u51fd\u6570\u4e0epredict \u51fd\u6570\u5904\u4e8e\u540c\u4e00\u8fdb\u7a0b; \n",
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"license": "Apache-2.0",
"summary": "Model Serving made Efficient in the Cloud",
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