[Bug]: When building the triton backend, using custom operators may result in errors

[bug400400]

Is there an existing issue for this?

• [X] I have searched the existing issues

Current Behavior

@register(name='embedding') class Embedding(NNOperator): def init(self):

def __call__(self, object, type, model):
    return vec

embedding_pipe = ( pipe.input('object') .map('object', 'vec', ops.embedding()) .output('vec') )

towhee.build_docker_image( dc_pipeline=embedding_pipe, image_name='triton_embedding:v1.0', cuda_version='11.7', format_priority=['onnx'], parallelism=4, inference_server='triton' )

but it will go to the hub to download the operator

Expected Behavior

build success

Steps To Reproduce

@register(name='embedding')
class Embedding(NNOperator):
    def __init__(self):
      ####
    def __call__(self, object, type, model):
        ####
        return vec

embedding_pipe = (
    pipe.input('object')
        .map('object', 'vec', ops.embedding())
        .output('vec')
)

towhee.build_docker_image(
    dc_pipeline=embedding_pipe,
    image_name='triton_embedding:v1.0',
    cuda_version='11.7',
    format_priority=['onnx'],
    parallelism=4,
    inference_server='triton'
)

but it will go to the hub to download the operator

Environment

- Towhee version(e.g. v0.1.3 or 8b23a93):
- OS(Ubuntu or CentOS): Ubuntu 
- CPU/Memory: CPU
- GPU:
- Others:

Anything else?

No response

[bug400400]

i find ，while build_docker_image，REGISTRY: Dict[str, Any] ，is null。

[junjiejiangjjj]

Only supports hub operators and lambda function when using triton backend

[bug400400]

Only supports hub operators and lambda function when using triton backend

Can this feature be added？I think this feature is very common in projects. I have found a temporary solution to avoid it. I need to add @ register code to the/usr/local/bin/triton_builder and model.py files

[stale[bot]]

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