# https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema
name: Bugs
description: The go command, standard library, or anything else
title: "import/path: issue title"

body:
  - type: markdown
    attributes:
      value: |

- helm.sh/helm/v3

# https://github.com/pelletier/go-toml/blob/master/LICENSE
# Uses MIT for everything, except a few files copied from
# google's civil library that uses Apache 2
- github.com/pelletier/go-toml

# https://github.com/xeipuuv/gojsonpointer/blob/master/LICENSE-APACHE-2.0.txt
- github.com/xeipuuv/gojsonpointer

     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * 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.