New RunLLM response generated: >>>*# Question* Hey Everyone, I am trying to use flyte with custom image. In which I already copied dataset and trying to access it via code during task run. But When i check that current directory items that dataset is missing during Task run on flyte. also I test it out by directly running custom image using podman it has dataset present in it. Please suggest anything anyone? # Answer To use a custom Docker image in Flyte and ensure that your dataset is accessible during task execution, you need to consider the following steps: 1. Build and Push Custom Image: Ensure your custom image is correctly built and pushed to a container registry accessible by Flyte. 2. Specify Image in Task: Use the

--image

argument in the

pyflyte run

command or specify the image in the task decorator. 3. Set Image Pull Policy: Ensure the image pull policy is set correctly to pull the image from the registry. 4. Access Dataset: Verify that the dataset is correctly copied into the image and accessible at the expected path. Here's a step-by-step guide: Step 1: Build and Push Custom Image Ensure your Docker image is built with the dataset included and pushed to a registry:

docker build -t myregistry.com/myimage:latest .
docker push myregistry.com/myimage:latest

Step 2: Specify Image in Task Use the

--image

argument in the

pyflyte run

command:

pyflyte run --remote --image myregistry.com/myimage:latest my_script.py my_task

Or specify the image in the task decorator:

from flytekit import task

@task(container_image="myregistry.com/myimage:latest")
def my_task():
    import os
    print(os.listdir("/path/to/dataset"))

Step 3: Set Image Pull Policy Ensure the image pull policy is set to pull the image from the registry:

@task(container_image="myregistry.com/myimage:latest", image_pull_policy="Always")
def my_task():
    import os
    print(os.listdir("/path/to/dataset"))

Step 4: Verify Dataset Path Ensure the dataset is at the correct path within the image. You can add a check in your task to print the directory contents:

@task(container_image="myregistry.com/myimage:latest")
def my_task():
    import os
    dataset_path = "/path/to/dataset"
    if os.path.exists(dataset_path):
        print(f"Dataset found at {dataset_path}")
        print(os.listdir(dataset_path))
    else:
        print(f"Dataset not found at {dataset_path}")

Example Code Here's a complete example:

from flytekit import task, workflow

@task(container_image="myregistry.com/myimage:latest", image_pull_policy="Always")
def my_task():
    import os
    dataset_path = "/path/to/dataset"
    if os.path.exists(dataset_path):
        print(f"Dataset found at {dataset_path}")
        print(os.listdir(dataset_path))
    else:
        print(f"Dataset not found at {dataset_path}")

@workflow
def my_wf():
    my_task()

if __name__ == "__main__":