From 68940020d322388d2e3fa2b2bb911e9b98a38fdd Mon Sep 17 00:00:00 2001 From: barrierye Date: Fri, 19 Jun 2020 15:34:25 +0800 Subject: [PATCH] add doc --- doc/GRPC_IMPL_CN.md | 52 ++++++++++++++++++ doc/grpc_impl.png | Bin 0 -> 116510 bytes .../test_asyn_client.py} | 0 .../test_server.py} | 0 4 files changed, 52 insertions(+) create mode 100644 doc/GRPC_IMPL_CN.md create mode 100644 doc/grpc_impl.png rename python/examples/{fit_a_line/test_multilang_client.py => grpc_impl_example/test_asyn_client.py} (100%) rename python/examples/{fit_a_line/test_multilang_server.py => grpc_impl_example/test_server.py} (100%) diff --git a/doc/GRPC_IMPL_CN.md b/doc/GRPC_IMPL_CN.md new file mode 100644 index 00000000..f80e0f52 --- /dev/null +++ b/doc/GRPC_IMPL_CN.md @@ -0,0 +1,52 @@ +# gRPC临时接口 + +gRPC 接口实现形式类似 Web Service: + +![](grpc_impl.png) + +## 与bRPC接口对比 + +1. gRPC Server 端 `load_model_config` 函数添加 `client_config_path` 参数: + + ```python + def load_model_config(self, server_config_paths, client_config_path=None) + ``` + + 在一些例子中 bRPC Server 端与 bRPC Client 端的配置文件可能是不同的(如 cube local 例子中,Client 端的数据先交给 cube,经过 cube 处理后再交给预测库),所以 gRPC Server 端需要获取 gRPC Client 端的配置;同时为了取消 gRPC Client 端手动加载配置文件的过程,所以设计 gRPC Server 端同时加载两个配置文件。`client_config_path` 默认为 `server_config_path/serving_server_conf.prototxt`。 + +2. gRPC Client 端取消 `load_client_config` 步骤: + + 在 `connect` 步骤通过 RPC 获取相应的 prototxt(从任意一个 endpoint 获取即可)。 + +3. gRPC Client 需要通过 RPC 方式设置 timeout 时间(调用形式与 bRPC Client保持一致) + + 因为 bRPC Client 在 `connect` 后无法更改 timeout 时间,所以当 gRPC Server 收到变更 timeout 的调用请求时会重新创建 bRPC Client 示例以变更 bRPC Client timeout时间,同时 gRPC Client 会设置 gRPC 的 timeout 时间。 + + 同时,设置 timeout 接口和 Inference 接口不能同时调用(非线程安全),出于性能考虑暂时不加锁。 + +4. gRPC Client 端 `predict` 函数添加 `asyn` 和 `is_python` 参数: + + ```python + def predict(self, feed, fetch, need_variant_tag=False, asyn=False, is_python=True) + ``` + + 其中,`asyn` 为异步调用选项。当 `asyn=True` 时为异步调用,返回 `MultiLangPredictFuture` 对象,通过 `MultiLangPredictFuture.result()` 阻塞获取预测值;当 `asyn=Fasle` 为同步调用。 + + `is_python` 为 proto 格式选项。当 `is_python=True` 时,基于 numpy bytes 格式进行数据传输,目前只适用于 Python;当 `is_python=False` 时,以普通数据格式传输,更加通用。使用 numpy bytes 格式传输耗时比普通数据格式小很多(详见 [#654](https://github.com/PaddlePaddle/Serving/pull/654))。 + +5. 当 gRPC Server 端的 bRPC Client 预测失败(返回 `None`)时,gRPC Client 端同样返回None。其他错误会抛出 gRPC 自带的异常。 + +6. 由于 gRPC 只支持 pick_first 和 round_robin 负载均衡策略,ABTEST 特性还未打齐。 + +7. 经测试,gRPC 版本可以在 Windows、macOS 平台使用。 + +8. 计划支持的客户端语言: + + - [x] Python + - [ ] Java + - [ ] Go + - [ ] JavaScript + +## Python 端的一些例子 + +详见 `python/examples/grpc_impl_example` 下的示例文件。 diff --git a/doc/grpc_impl.png b/doc/grpc_impl.png new file mode 100644 index 0000000000000000000000000000000000000000..05b1a67e815efae5f4b7b81758444bff48cfe59d GIT binary patch literal 116510 zcmeFZcTiK&*Y8bHkPaff7eN7~7ij@Oiin8x8hUSnAUz_zcMwn_qJUKCok;JX(m{GJ z0tpZZDd)!L_dNIh@&5D9yfg1#clKoF%sD$bCp&wu^sR23wJe5HE$1ZUjrXodq+)2FGpWj``b0$QOHwC5L$ml6kIewJVOtp=TdY 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