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Add issue form for zluda_trace logs (#432)
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.github/ISSUE_TEMPLATE/config.yml
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.github/ISSUE_TEMPLATE/config.yml
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blank_issues_enabled: true
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.github/ISSUE_TEMPLATE/zluda_dump.yml
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.github/ISSUE_TEMPLATE/zluda_dump.yml
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name: Bug Report
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description: Report an issue with ZLUDA
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title: ""
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labels: []
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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 you are reporting an application that is not supported by ZLUDA, please use zluda_trace to
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create logs. See instructions here: https://zluda.readthedocs.io/latest/troubleshooting.html
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- type: textarea
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id: logs
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attributes:
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label: zluda_trace logs (tarball/zip file)
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description: |
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Please create a tarball (`.tar.gz`) or zip file (`.zip`) of your log directory and attach
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it here. You can drag and drop files directly into the comment box. Please also include
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zluda_trace logs using CUDA if you have NVIDIA hardware to test on.
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placeholder: Attach file (e.g., drag and drop)
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validations:
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required: false
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- type: textarea
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id: description
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attributes:
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label: Description
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description: |
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Describe the issue you've encountered. What is the expected behavior? What is the actual
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behavior?
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placeholder: Description
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validations:
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required: false
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- type: textarea
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id: reproduce
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attributes:
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label: Steps to reproduce
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description: |
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Please describe the application you were running and provide clear, step-by-step
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instructions to run it.
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placeholder: |
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example:
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1. Download llm.c: git clone https://github.com/karpathy/llm.c.git
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2. Navigate to the directory: cd llm.c
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3. Download the model and train it:
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chmod u+x ./dev/download_starter_pack.sh
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./dev/download_starter_pack.sh
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make train_gpt2fp32cu
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./train_gpt2fp32cu
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4. Build and run the tests:
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make test_gpt2fp32cu
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LD_LIBRARY_PATH=<ZLUDA_TRACE_DIR> ./test_gpt2fp32cu
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validations:
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required: true
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- type: input
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id: os
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attributes:
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label: Operating System
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description: What operating system are you using? (e.g., distribution and version)
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placeholder: "example: Ubuntu 22.04.5 LTS"
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validations:
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required: true
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- type: input
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id: gpu
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attributes:
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label: GPU
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description: What GPU are you using?
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placeholder: "example: AMD Radeon RX 6600"
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validations:
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required: true
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