Glenn Jocher
c3a93d783d
* Initial commit * Remove unused export_torchscript return * ROOT variable * Add prefix to fcn arg * fix ROOT * check_yaml into run() * interim fixes * imgsz=(320, 320) * Hardcode tf_raw_resize False * Finish opt elimination * Update representative_dataset_gen() * Update export.py with TF methods * SiLU and GraphDef fixes * file_size() directory handling feature * export fixes * add lambda: to representative_dataset * Detect training False default * Fuse false for TF models * Embed agnostic NMS arguments * Remove lambda * TensorFlow.js export success * Add pb to Usage * Add *_tfjs_model/ to ignore files * prepend YOLOv5 to function headers * Remove end --- comments * parameterize tfjs export pb file * update run() data default /ROOT * update --include help * update imports * return ct_model * Consolidate TFLite export * pb prerequisite to tfjs * TF modules CamelCase * Remove exports from tf.py and cleanup * pass agnostic NMS arguments * CI * CI * ignore *_web_model/ * Add tensorflow to CI dependencies * CI tensorflow-cpu * Update requirements.txt * Remove tensorflow check_requirement * CI coreml tfjs * export only onnx torchscript * reorder exports torchscript first
82 lines
3.0 KiB
YAML
82 lines
3.0 KiB
YAML
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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name: CI CPU testing
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on: # https://help.github.com/en/actions/reference/events-that-trigger-workflows
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push:
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branches: [master, develop]
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pull_request:
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# The branches below must be a subset of the branches above
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branches: [master, develop]
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jobs:
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cpu-tests:
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-latest, macos-latest, windows-latest]
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python-version: [3.8]
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model: ['yolov5s'] # models to test
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes: 50
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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# Note: This uses an internal pip API and may not always work
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# https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow
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- name: Get pip cache
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id: pip-cache
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run: |
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python -c "from pip._internal.locations import USER_CACHE_DIR; print('::set-output name=dir::' + USER_CACHE_DIR)"
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- name: Cache pip
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uses: actions/cache@v1
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with:
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path: ${{ steps.pip-cache.outputs.dir }}
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key: ${{ runner.os }}-${{ matrix.python-version }}-pip-${{ hashFiles('requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-${{ matrix.python-version }}-pip-
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
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pip install -q onnx tensorflow-cpu # for export
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python --version
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pip --version
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pip list
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shell: bash
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- name: Download data
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run: |
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# curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
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# unzip -q tmp.zip -d ../
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# rm tmp.zip
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- name: Tests workflow
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run: |
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# export PYTHONPATH="$PWD" # to run '$ python *.py' files in subdirectories
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di=cpu # inference devices # define device
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# train
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python train.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --cfg ${{ matrix.model }}.yaml --epochs 1 --device $di
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# detect
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python detect.py --weights ${{ matrix.model }}.pt --device $di
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python detect.py --weights runs/train/exp/weights/last.pt --device $di
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# val
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python val.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --device $di
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python val.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device $di
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python hubconf.py # hub
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python models/yolo.py --cfg ${{ matrix.model }}.yaml # build PyTorch model
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python models/tf.py --weights ${{ matrix.model }}.pt # build TensorFlow model
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python export.py --img 128 --batch 1 --weights ${{ matrix.model }}.pt --include torchscript onnx # export
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shell: bash
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