[Bug Template] New format bug template (#18150)
* [Bug Template] New format bug template This new bug template provides an easy interface for customers to fill in the information before submitting a new issue. * [Update][Bug Template] New format bug template - use 2021.4 LTS as an example for the OpenVINO version (this is where the customer will fill up the version) - Adding macOS Systems for Intel CPU, macOS Systems for Apple Silicon, Android Systems, Raspbian Stretch OS, and WebAssembly to the OS list - Adding GNA, AUTO, HETERO, and BATCH to the devices list - Remove "Engine" in "Inference Engine" * Update bug.yml v3 removed #endhere * Apply suggestions from code review add some suggested changes by @p-wysicki Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com> * Update bug.yml --------- Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com>
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name: Bug Report
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description: Create a report to help us improve
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title: "[Bug]: "
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labels: ["bug", "support_request"]
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assignees:
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- octocat
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body:
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- type: markdown
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attributes:
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value: |
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Please provide all the necessary information to expedite the response.
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#Start here
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- type: input
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id: ov_version
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attributes:
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label: OpenVINO Version
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description: OpenVINO version, branch or tag in OpenVINO GitHub
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placeholder: 2021.4.0 LTS / Master Branch / tag 2022.3.0
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validations:
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required: false
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- type: dropdown
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id: os
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attributes:
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label: Operating System
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description: What OS are you using?
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options:
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- Ubuntu 18.04 (LTS)
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- Ubuntu 20.04 (LTS)
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- Windows System
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- Red Hat Enterprise Linux 8
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- Android System
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- Raspbian Stretch OS
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- macOS Systems for Intel CPU
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- macOS Systems for Apple Silicon
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- WebAssembly
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- Other (Please specify in description)
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validations:
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required: true
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- type: dropdown
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id: device_use
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attributes:
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label: Device used for inference
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description: What hardware are you using for inference?
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options:
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- CPU
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- GPU
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- GNA
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- NCS2 (Intel Movidius)
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- HDDL
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- AUTO
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- HETERO
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- BATCH
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validations:
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required: true
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- type: dropdown
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id: framework
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attributes:
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label: Framework
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description: Framework used in model optimization
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options:
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- TensorFlow 1
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- Keras (TensorFlow 2)
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- Caffe
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- ONNX
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- PyTorch
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- mxnet
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- PaddlePaddle
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validations:
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required: true
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- type: input
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id: model_name
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attributes:
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label: Model used
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description: Please provide us the link to your model in the description
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placeholder: ResNet50 / YOLOv4
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validations:
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required: false
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- type: textarea
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id: bug_description
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attributes:
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label: Issue description
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description: What issue are you having, and what did you expect to happen instead?
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placeholder: Please provide a detailed description of what happened
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value: "Error when performing model optimization on yolov4 model."
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validations:
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required: true
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- type: textarea
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id: step_by_step
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attributes:
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label: Step by step reproduction
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description: How can we reproduce your issue?
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placeholder: Please provide detailed instructions on how to reproduce the issue
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validations:
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required: false
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- type: textarea
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id: logs
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attributes:
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label: Relevant log output
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description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
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render: shell
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- type: checkboxes
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id: terms
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attributes:
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label: Issue submission checklist
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description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/intel/intel-one-mono/blob/main/CODE_OF_CONDUCT.md)
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options:
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- label: I report the issue. It's not a question
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required: true
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- label: I checked the problem with the documentation, FAQ, open issues, Stack Overflow, etc., and have not found the solution
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required: true
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- label: There is reproducer code and related data files such as images, videos, models, etc.
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required: true
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