glemarivero

but casting it as string like I did didn't work? ``` @dsl.container_component def say_hello(image_uri: str): """Log a greeting and return it as an output.""" return dsl.ContainerSpec( image=str(image_uri), command=['echo'], args=['Hello'] )...

mmm strange, we've been using this in production with no issues..are you using these versions? ``` kfp 2.7.0 kfp-pipeline-spec 0.3.0 kfp-server-api 2.0.5 ``` How does the pipeline look like in...

not sure if it's relevant but I'm using this in Vertex AI Pipelines, so maybe they've fixed it in their end

Hi @aniketbote I posted this answer in Stack Overflow: https://stackoverflow.com/questions/66373169/tensorflow-2-object-detection-api-numpy-version-errors/66486051#66486051 I had this same issue: >NotImplementedError: Cannot convert a symbolic Tensor (cond_2/strided_slice:0) to a numpy array. This error may indicate...

@Pipickin But then you are running the training on CPU and not GPU. Were you able to train anything else? Just want to know if CUDA is setup correctly.