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Updating Performance issue template so "performance" label is automatically applied ### Description <!-- Describe your changes. --> ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. -->
149 lines
3.7 KiB
YAML
149 lines
3.7 KiB
YAML
name: Performance
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description: issues related to performance
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title: "[Performance] "
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labels: ["performance"]
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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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If your request is a question/idea or otherwise not related to a bug/issue or feature request, please submit to [ONNX Runtime GitHub Discussions](https://github.com/microsoft/onnxruntime/discussions).
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Before submitting your request, please review past submissions to ensure that it is not a duplicate of a known issue.
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- type: textarea
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id: issue-descript
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attributes:
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label: Describe the issue
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placeholder: Include your issue description, expected behavior, and any additional context necessary for your issue to be addressed (e.g., screenshots, GPU model & memory, etc.).
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validations:
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required: true
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- type: textarea
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id: reproducibility
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attributes:
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label: To reproduce
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placeholder: Steps to reproduce the issue. As applicable, please provide code and model(s) if possible.
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validations:
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required: true
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- type: textarea
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id: urgency
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attributes:
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label: Urgency
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placeholder: Is your issue urgent? If important use cases are blocked, there is a regression in ONNX Runtime functionality, or you have a strict project deadline, please elaborate here.
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validations:
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required: false
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- type: markdown
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attributes:
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value: |
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# System information
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For each of the following items, provide the information listed to ensure that your request is addressed in a timely manner.
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- type: dropdown
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id: platform
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attributes:
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label: Platform
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options:
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- Windows
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- Linux
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- Mac
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- Android
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- iOS
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- Web Browser
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- Other / Unknown
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validations:
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required: true
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- type: input
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id: os-dist
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attributes:
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label: OS Version
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validations:
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required: true
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- type: dropdown
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id: ort-installation
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attributes:
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label: ONNX Runtime Installation
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options:
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- Built from Source
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- Released Package
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- Other / Unknown
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validations:
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required: true
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- type: input
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id: ort-version
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attributes:
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label: ONNX Runtime Version or Commit ID
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validations:
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required: true
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- type: dropdown
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id: inf-api
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attributes:
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label: ONNX Runtime API
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options:
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- Python
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- C++
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- C#
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- C
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- Java
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- JavaScript
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- Obj-C
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- WinML
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- Other / Unknown
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validations:
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required: true
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- type: dropdown
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id: arch
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attributes:
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label: Architecture
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options:
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- X64
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- X86
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- ARM64
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- ARM32
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- IBM Power
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- Other / Unknown
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validations:
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required: true
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- type: dropdown
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id: ep
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attributes:
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label: Execution Provider
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options:
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- Default CPU
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- CoreML
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- CUDA
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- DirectML
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- oneDNN
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- OpenVINO
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- TensorRT
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- NNAPI
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- ACL
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- ArmNN
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- MIGraphX
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- Rockchip NPU
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- SNPE
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- TVM
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- Vitis AI
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- Other / Unknown
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multiple: yes
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validations:
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required: true
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- type: input
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id: ep-version
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attributes:
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label: Execution Provider Library Version
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placeholder: ex. CUDA 11.6 or ROCm 5.1.1
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validations:
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required: false
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- type: textarea
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id: model
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attributes:
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label: Model File
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placeholder: Attach the file corresponding to your model if possible.
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validations:
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required: false
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- type: dropdown
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id: quant
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attributes:
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label: Is this a quantized model?
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options:
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- "Yes"
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- "No"
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- Unknown
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validations:
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required: true
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