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살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
book

살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화

by 송호연, 하네스 하프케, 캐서린 넬슨
October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Hanbit Media, Inc.
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
222
살아 움직이는 머신러닝 파이프라인 설계
},
“metadata”
: {
“signature_def”
: {
“signature_def”
: {
“classification”
: {
“inputs”
: {
“inputs”
: {
“dtype”
: “DT_STRING”,
“tensor_shape”
: {
...
8.13.2
모델 메타데이터에 대한
gRPC
요청
gRPC
모델 메타데이터를 요청하는 작업은
REST
API
만큼 쉽습니다.
gRPC
에서
GetModelMetadataRequest
로 파일화하고 사양에 모델 이름을 추가한 다음
stub
GetModelMetadata
메서드로 요청을 제출합니다.
from
tensorflow_serving.apis
import
get_model_metadata_pb2
def
get_model_version(model_name, stub):
request = get_model_metadata_pb2.GetModelMetadataRequest()
request.model_spec.name = model_name
request.metadata_field.append(“signature_def”)
response = stub.GetModelMetadata(request, 5)
return
response.model_spec ...
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Publisher Resources

ISBN: 9791162244814