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MethodNotImplemented: 501 Received http2 header with status: 404 #3738

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Asha-12502 opened this issue Nov 29, 2024 · 1 comment
Open

MethodNotImplemented: 501 Received http2 header with status: 404 #3738

Asha-12502 opened this issue Nov 29, 2024 · 1 comment

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@Asha-12502
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I have deployed triton docker container in vertex ai and here is my code to send request to vertex ai using python aiplatform_v1.
Code:

import numpy as np
import json
import time
import cv2
import os
import base64
import matplotlib.pyplot as plt
from google.cloud import aiplatform_v1
import traceback
from google.api.httpbody_pb2 import HttpBody


project = "my-project-name"
location = "location"
endpoint_id = "endpoint-id"

endpoint_name = f"projects/{project}/locations/{location}/endpoints/{endpoint_id}"

client = aiplatform_v1.PredictionServiceClient()

s_path = "/input-images-folder-path/"
s_data = os.listdir(s_path)

input_data = [cv2.imread(os.path.join(s_path,s_data[0]))]
pred_time = []
print("Start Time:",time.time())
for image_name in s_data:
  
   if image_name.split(".")[-1]!="txt":
      
       try:
           input_data = [cv2.imread(os.path.join(s_path,image_name))]
           b64_data = []
           for img in input_data:
               content = str(base64.b64encode(cv2.imencode('.png', img)[1].tobytes()).decode("utf-8"))
               b64_data.append(content)


           b64_data = np.array(b64_data, dtype=object)


           payload = {
               "id": "0",
               "inputs": [
                   {
                       "name": "input_image",
                       "shape": [1,1],
                       "datatype": "BYTES",
                       "parameters": {},
                       "data": b64_data.tolist(),
                   }
               ],
           }


           # Convert payload to bytes
           payload_inst = json.dumps(payload).encode("utf-8")
           http_body = HttpBody(content_type="application/octet-stream", data= payload_inst) 

           request = aiplatform_v1.RawPredictRequest(endpoint = endpoint_name, http_body = http_body) 
           
           start = time.time()
           print("start prediction.........")
           response = client.raw_predict(request=request, timeout=30)  # Timeout in seconds
           print("end prediction.........")
           end = time.time()
           pred_time.append(end-start)    

          
       except Exception as e:
           print(traceback.print_exc())
           print(e)
           print('====================================================================================================')


print("End Time:",time.time())
print("Average Time:",sum(pred_time)/len(pred_time))
``

Running above code i got "501 Received http2 header with status: 404" error.
Error shows that is endpoint not found but i followed official documentation.

Can someone tell me what's wrong in code?

@gericdong
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@Asha-12502: can you please copy the link to the documentation? Thanks.

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