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"scheduling_spec": {
  "node_selector": {
     "cloud.google.com/gke-accelerator": "nvidia-tesla-t4"
  }
}

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"resource_limits": {
  "gpu": {
    "type": "nvidia.com/gpu",
    "number": 1
  }
},
"resource_requests": {
  "memory": "2G",
  "cpu": 1
},

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{
    "pipeline": {
        "name": "inspect-input"
    },
    "description": "Inspect /pfs/ input.",
    "transform": {
        "cmd": [
            "/bin/sh"
        ],
        "stdin": [

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ENDPOINT_URL=http://192.168.64.8:30600
AWS_REGION=us-east-1
AWS_ACCESS_KEY_ID=test
AWS_SECRET_ACCESS_KEY=test

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import streamlit as st
import itertools
from pathlib import Path
import argparse

parser = argparse.ArgumentParser(description="Serve image from PFS")
parser.add_argument("--image-path", type=str, help="")

def paginator(label, items, items_per_page=10, on_sidebar=True):
    """Lets the user paginate a set of items.

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