docker-compose, models.config, http 테스트 호출
인공지능,AI,학습,ML,Tensorflow, Cafee2,MLFlow/Tensorflow반응형
docker-compose.yml
tfsservice:
build:
context: .
dockerfile: Dockerfile.tfs
image: tensorflow/serving
container_name: tfs
hostname: tfs
command:
- '--model_config_file=/models/models.config'
- '--model_config_file_poll_wait_seconds=60'
volumes:
- ./volume.tfs/models:/models/
ports:
- 8500:8500
- 8501:8501
networks:
- backend
models.config
git clone https://github.com/tensorflow/serving
model_config_list:
{
config:
{
name:"serving"
base_path:"/models/serving/tensorflow_serving/servables/tensorflow/testdata/saved_model_half_plus_two_cpu"
model_platform: "tensorflow"
}
}
command line >
curl -d '{"instances": [1.0, 2.0, 5.0]}' -X POST http://localhost:8501/v1/models/serving:predict
{
"predictions": [2.5, 3.0, 4.5
]
}
v1/models 는 디폴트로 입력
serving 은 models.config 의 name
반응형
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