- tutorial/body-multiple-params.md
    - tutorial/body-fields.md
    - tutorial/body-nested-models.md
    - tutorial/schema-extra-example.md
    - tutorial/extra-data-types.md
    - tutorial/cookie-params.md
    - tutorial/header-params.md
    - tutorial/response-model.md
    - tutorial/extra-models.md
    - tutorial/response-status-code.md
    - tutorial/request-forms.md
    - tutorial/request-files.md

# These are supported funding model platforms

github: [jinzhu]
patreon: jinzhu

      description: If compiling from source
  - type: input
    id: Cuda
    attributes:
      label: CUDA/cuDNN version
  - type: input
    id: Gpu
    attributes:
      label: GPU model and memory
      description: If compiling from source
  - type: textarea
    id: what-happened
    attributes:
      label: Current behavior?
      description: Also tell us, what did you expect to happen?

       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

      # UNSTABLE: If enabled, and ambient is enabled, enables ipv6 support
      ipv6: false


    repair:
      enabled: true
      hub: ""
      tag: ""

      # Repair controller has 3 modes. Pick which one meets your use cases. Note only one may be used.
      # This defines the action the controller will take when a pod is detected as broken.