@@ -24,7 +24,7 @@ The result is a complete serving solution.
- Node: An Op operator instance composed of an Op operator class combined with parameter configuration, which is also an execution unit in Workflow
- Workflow: executes the inference interface of each OP in order according to the topology described by DAG
- DAG/Workflow: consists of several interdependent Nodes. Each Node can obtain the Request object through a specific interface. The node Op obtains the output object of its pre-op through the dependency relationship. The output of the last Node is the Response object by default.
- Service: encapsulates a pv request, can configure several Workflows, reuse the current PV's Request object with each other, and then execute each in parallel / serial execution, and finally write the Response to the corresponding output slot; a Paddle-serving process Multiple sets of Service interfaces can be configured. The upstream determines the Service interface currently accessed based on the ServiceName.
- Service: encapsulates a pv request, can configure several Workflows, reuse the current PV's Request object with each other, and then execute each in parallel/serial execution, and finally write the Response to the corresponding output slot; a Paddle-serving process Multiple sets of Service interfaces can be configured. The upstream determines the Service interface currently accessed based on the ServiceName.
## 3. Python Interface Design
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@@ -104,7 +104,7 @@ With reference to the abstract idea of model calculation of the TensorFlow frame
Regarding the dependencies between OPs, and the establishment of workflows through OPs, you can refer to [从零开始写一个预测服务](CREATING.md)(simplified Chinese Version)
Regarding the dependencies between OPs, and the establishment of workflows through OPs, you can refer to [从零开始写一个预测服务](./deprecated/CREATING.md)(simplified Chinese Version)
Paddle Serving instances can load multiple models at the same time, and each model uses a Service (and its configured workflow) to undertake services. You can refer to [service configuration file in Demo example](../demo-serving/conf/service.prototxt) to learn how to configure multiple services for the serving instance
Paddle Serving instances can load multiple models at the same time, and each model uses a Service (and its configured workflow) to undertake services. You can refer to [service configuration file in Demo example](../tools/cpp_examples/demo-serving/conf/service.prototxt) to learn how to configure multiple services for the serving instance
#### 4.2.3 Hierarchical relationship of business scheduling
