Opinie (Introducing the Keras Sequential API on Vertex AI Platform)

Error in this step: !gsutil cp -R $EXPORT_PATH gs://$BUCKET/$MODEL_DISPLAYNAME This is the error: --------------------------------------------------------------------------- _InactiveRpcError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/google/api_core/grpc_helpers.py in error_remapped_callable(*args, **kwargs) 56 try: ---> 57 return callable_(*args, **kwargs) 58 except grpc.RpcError as exc: /opt/conda/lib/python3.7/site-packages/grpc/_channel.py in __call__(self, request, timeout, metadata, credentials, wait_for_ready, compression) 945 wait_for_ready, compression) --> 946 return _end_unary_response_blocking(state, call, False, None) 947 /opt/conda/lib/python3.7/site-packages/grpc/_channel.py in _end_unary_response_blocking(state, call, with_call, deadline) 848 else: --> 849 raise _InactiveRpcError(state) 850 _InactiveRpcError: <_InactiveRpcError of RPC that terminated with: status = StatusCode.PERMISSION_DENIED details = "Vertex AI API has not been used in project 270749629539 before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/aiplatform.googleapis.com/overview?project=270749629539 then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry." debug_error_string = "{"created":"@1658262618.435124921","description":"Error received from peer ipv4:74.125.195.95:443","file":"/home/conda/feedstock_root/build_artifacts/grpc-split_1656146941531/work/src/core/lib/surface/call.cc","file_line":966,"grpc_message":"Vertex AI API has not been used in project 270749629539 before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/aiplatform.googleapis.com/overview?project=270749629539 then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry.","grpc_status":7}" > The above exception was the direct cause of the following exception: PermissionDenied Traceback (most recent call last) /tmp/ipykernel_18946/1764534778.py in <module> 2 display_name=MODEL_DISPLAYNAME, 3 artifact_uri=f"gs://{BUCKET}/{MODEL_DISPLAYNAME}", ----> 4 serving_container_image_uri=SERVING_CONTAINER_IMAGE_URI, 5 )

Tayo O. · Sprawdzono ponad 3 lata temu

Nice

Alfonso F. · Sprawdzono ponad 3 lata temu

Adam B. · Sprawdzono ponad 3 lata temu

Yuvaraj M. · Sprawdzono ponad 3 lata temu

Daniel A. · Sprawdzono ponad 3 lata temu

good

Kumar S. · Sprawdzono ponad 3 lata temu

Ponlakrit T. · Sprawdzono ponad 3 lata temu

Ryszard F. · Sprawdzono ponad 3 lata temu

Should allocate more time than 1 hour (maybe 1.5 hours). Also, should include instructions to enable the Vertex AI API, since this caused an issue with uploading the custom-trained model.

Andy H. · Sprawdzono ponad 3 lata temu

Jesse R. · Sprawdzono ponad 3 lata temu

Andrii T. · Sprawdzono ponad 3 lata temu

Yaroslav V. · Sprawdzono ponad 3 lata temu

Hitesh J. · Sprawdzono ponad 3 lata temu

Ehsan N. · Sprawdzono ponad 3 lata temu

Albert C. · Sprawdzono ponad 3 lata temu

Anthony S. · Sprawdzono ponad 3 lata temu

Mkhululi M. · Sprawdzono ponad 3 lata temu

Jaspal S. · Sprawdzono ponad 3 lata temu

Sandeep S. · Sprawdzono ponad 3 lata temu

you need to specify that the warning is expected to happen. I spent a lot of time looking where I was wrong. WARNING:tensorflow:Layers in a Sequential model should only have a single input tensor, but we receive a <class 'collections.OrderedDict'> input: OrderedDic

BRYAN PERCY S. · Sprawdzono ponad 3 lata temu

Swapna S. · Sprawdzono ponad 3 lata temu

Sayantaun G. · Sprawdzono ponad 3 lata temu

Torkild O. · Sprawdzono ponad 3 lata temu

Gopalakrishnan S. · Sprawdzono ponad 3 lata temu

Gopalakrishnan S. · Sprawdzono ponad 3 lata temu