tensorflow
启动脚本:
apiVersion: "serving.kserve.io/v1beta1" kind: "InferenceService" metadata: labels: predict-phantom.amh-group.com/modelName: "lgb-test" predict-phantom.amh-group.com/modelVersion: "v1.2" name: "t" spec: predictor: maxReplicas: 1 minReplicas: 1 canaryTrafficPercent: 100 tensorflow: resources: limits: memory: "4Gi" cpu: "8" requests: memory: "4Gi" cpu: "8" runtimeVersion: 2.3.0 storageUri: "http://10.13.68.11/nfs/t-model.zip"
模型信息接口:
跟tensorflow-serving一致,地址为http://kf01:30000/v1/models/t/metadata
host:t.default.amh-group.com
预测接口:
http://kf01:30000/v1/models/t:predict
参数:
{ "inputs":{ "x_k1":[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 405, 405, 405, 430, 430, 430, 430, 430, 430, 430, 430, 430, 430, 462, 462, 462, 462, 462, 462, 462, 462, 462, 462, 679, 679, 679, 679, 679]], "x_k2":[[75, 76, 74, 75, 0, 0, 1, 0, 0, 171, 188, 261, 2, 405, 405, 33, 430, 430, 679, 679, 679]], "x_k3":[[0, 0, 405, 430, 462, 679, 679, 679]], "x_v1":[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], "x_v2":[[100.0999984741211, 4.199999809265137, 0, 0]], "x_v3":[[0.0, 0.0, 0.0, 0.0, -1.0]], "is_training":false } }
模型格式:
- 1
- saved_model.pb
- variables
d2ff1c30b800 8 月前
06c548a1f49b 8 月前