chore: import upstream snapshot with attribution

.github/ISSUE_TEMPLATE/bug_report.md

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+---
+name: Report a TensorRT issue
+about: The more information you share, the more feedback we can provide.
+title: 'XXX failure of TensorRT X.Y when running XXX on GPU XXX'
+labels: ''
+assignees: ''
+
+---
+
+## Description
+
+<!--
+  A clear and concise description of the issue.
+
+  For example: I tried to run model ABC on GPU, but it fails with the error below (share a 2-3 line error log).
+-->
+
+
+## Environment
+
+<!-- Please share any setup information you know. This will help us to understand and address your case. -->
+
+**TensorRT Version**:
+
+**NVIDIA GPU**:
+
+**NVIDIA Driver Version**:
+
+**CUDA Version**:
+
+**CUDNN Version**:
+
+
+Operating System:
+
+Python Version (if applicable):
+
+Tensorflow Version (if applicable):
+
+PyTorch Version (if applicable):
+
+Baremetal or Container (if so, version):
+
+
+## Relevant Files
+
+<!-- Please include links to any models, data, files, or scripts necessary to reproduce your issue. (Github repo, Google Drive/Dropbox, etc.) -->
+
+**Model link**:
+
+
+## Steps To Reproduce
+
+<!--
+  Craft a minimal bug report following this guide - https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
+
+  Please include:
+  * Exact steps/commands to build your repro
+  * Exact steps/commands to run your repro
+  * Full traceback of errors encountered
+-->
+
+**Commands or scripts**:
+
+**Have you tried [the latest release](https://developer.nvidia.com/tensorrt)?**:
+
+**Can this model run on other frameworks?** For example run ONNX model with ONNXRuntime (`polygraphy run <model.onnx> --onnxrt`):