-
Notifications
You must be signed in to change notification settings - Fork 0
/
invoke_endpoint_v2.py
61 lines (50 loc) · 2.25 KB
/
invoke_endpoint_v2.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
import json
import os
import argparse
import boto3
from sagemaker.predictor import Predictor
from sagemaker.serializers import JSONSerializer
from sagemaker.deserializers import JSONDeserializer
# https://sagemaker.readthedocs.io/en/stable/api/inference/predictors.html : Refer to the documentation for more params
def invoke_real_time_endpoint(inference_config):
endpoint_name=inference_config.get('endpoint_name')
predictor = Predictor(endpoint_name=endpoint_name,
serializer=JSONSerializer(),
deserializer=JSONDeserializer()
)
payload = json.load(open(inference_config.get("payload_path")))
result = predictor.predict(payload)
print(result)
def invoke_multi_time_endpoint(inference_config):
endpoint_name=inference_config.get('endpoint_name')
predictor = Predictor(endpoint_name=endpoint_name,
serializer=JSONSerializer(),
deserializer=JSONDeserializer()
)
payload = json.load(open(inference_config.get("payload_path")))
result = predictor.predict(payload,target_model=inference_config.get("target_model"))
print(result)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--cfg", type=str, help="inference configuration file path")
parser.add_argument(
"--endpoint-type",
type=str,
help="Supported Endpoint Types : real-time-endpoint, multi-model-endpoint, serverless-endpoint"
)
#multi-model-endpoint","serverless-endpoint",
#TODO : Need to Test for Multi-Model Endpoint
args = parser.parse_args()
config_path = args.cfg
endpoint_type = args.endpoint_type
assert endpoint_type in [
"real-time-endpoint",
"multi-model-endpoint",
"serverless-endpoint"
], f"Supported Endpoint Types are : real-time and multi-model"
assert os.path.exists(config_path), f"{config_path} does not exist"
inference_config = json.load(open(config_path)).get(endpoint_type)
if endpoint_type in ["real-time-endpoint", "serverless-endpoint"]:
invoke_real_time_endpoint(inference_config)
elif endpoint_type == "multi-model-endpoint":
invoke_multi_time_endpoint(inference_config)