@@ -14,16 +14,16 @@ func generateProjectToml(projectFolder, filename, projectName, cudaVersion, pyth
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name = "%s"
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[project]
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- # uuid - Unique identifier for the project. Generated automatically.
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- # volume_mount_path - Default volume mount path in serverless environment. Changing this may affect data persistence.
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- # base_image - Base Docker image used for the project environment. Includes essential packages and CUDA support.
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- # Use 'runpod/base' as a starting point. Customize only if you need additional packages or configurations.
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- # gpu_types - List of preferred GPU types for your development pod, ordered by priority.
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- # The pod will use the first available type from this list.
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- # For a full list of supported GPU types, visit: https://docs.runpod.io/references/gpu-types
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- # gpu_count - Number of GPUs to allocate for the pod.
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- # volume_mount_path - Default volume mount path in serverless environment. Changing this may affect data persistence.
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- # ports - Ports to expose and their protocols. Configure as needed for your application's requirements.
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+ # uuid - Unique identifier for the project. Generated automatically.
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+ # volume_mount_path - Default volume mount path in serverless environment. Changing this may affect data persistence.
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+ # base_image - Base Docker image used for the project environment. Includes essential packages and CUDA support.
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+ # Use 'runpod/base' as a starting point. Customize only if you need additional packages or configurations.
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+ # gpu_types - List of preferred GPU types for your development pod, ordered by priority.
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+ # The pod will use the first available type from this list.
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+ # For a full list of supported GPU types, visit: https://docs.runpod.io/references/gpu-types
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+ # gpu_count - Number of GPUs to allocate for the pod.
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+ # volume_mount_path - Default volume mount path in serverless environment. Changing this may affect data persistence.
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+ # ports - Ports to expose and their protocols. Configure as needed for your application's requirements.
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# container_disk_size_gb - Disk space allocated for the container. Adjust according to your project's needs.
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uuid = "%s"
@@ -47,18 +47,18 @@ container_disk_size_gb = 100
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# Environment variables for the pod.
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# For full list of base environment variables, visit: https://github.com/runpod/containers/blob/main/official-templates/base/Dockerfile
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# POD_INACTIVITY_TIMEOUT - Duration (in seconds) before terminating the pod after the last SSH session ends.
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- # RUNPOD_DEBUG_LEVEL - Log level for RunPod. Set to 'debug' for detailed logs.
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- # UVICORN_LOG_LEVEL - Log level for Uvicorn. Set to 'warning' for minimal logs.
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+ # RUNPOD_DEBUG_LEVEL - Log level for RunPod. Set to 'debug' for detailed logs.
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+ # UVICORN_LOG_LEVEL - Log level for Uvicorn. Set to 'warning' for minimal logs.
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POD_INACTIVITY_TIMEOUT = "120"
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RUNPOD_DEBUG_LEVEL = "debug"
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UVICORN_LOG_LEVEL = "warning"
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[endpoint]
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- # Configuration for the deployed endpoint.
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+ # Configuration for the deployed endpoint.
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# For full list of endpoint configurations, visit: https://docs.runpod.io/serverless/references/endpoint-configurations
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# active_workers - The minimum number of workers your endpoint will have running at any given point.
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- # Setting this amount to 1 will result in "always on" workers.
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+ # Setting this amount to 1 will result in "always on" workers.
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# This will allow you to have a worker ready to respond to job requests without incurring any cold start delay.
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# max_workers - The maximum number of workers your endpoint will have running at any given point.
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@@ -67,8 +67,8 @@ max_workers = 3
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flashboot = true
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[runtime]
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- # python_version - Python version to use for the project.
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- # handler_path - Path to the handler file for the project.
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+ # python_version - Python version to use for the project.
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+ # handler_path - Path to the handler file for the project.
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# requirements_path - Path to the requirements file for the project.
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python_version = "%s"
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