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test.yml
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name: Unit Tests
on:
push:
pull_request:
workflow_dispatch:
jobs:
linter:
name: Linters
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: linting
- name: Install dependencies
run: pip install -e '.[linting,testing]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Repo line count
run: python3 sz.py
- name: Lint with pylint
run: python -m pylint --disable=all -e W0311 -e C0303 --jobs=0 --indent-string=' ' **/*.py
- name: Lint with flake8
run: flake8 --statistics -j4
- name: Lint tinygrad with pylint
run: pylint tinygrad/
- name: Run mypy
run: mypy tinygrad/ --ignore-missing-imports --check-untyped-defs --explicit-package-bases --warn-unreachable
- name: Install SLOCCount
run: sudo apt-get install sloccount
- name: Check <5000 lines
run: sloccount tinygrad test examples extra; if [ $(sloccount tinygrad | sed -n 's/.*Total Physical Source Lines of Code (SLOC)[ ]*= \([^ ]*\).*/\1/p' | tr -d ',') -gt 5000 ]; then exit 1; fi
testcpuimagenet:
name: CPU and ImageNet to C Tests
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: testing
- name: Install Dependencies
run: pip install -e '.[testing]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Test Docs
run: python docs/abstractions.py
- name: Test Quickstart
run: awk '/```python/{flag=1;next}/```/{flag=0}flag' docs/quickstart.md > quickstart.py && PYTHONPATH=. python3 quickstart.py
- name: Run Pytest
run: python -m pytest -n=auto test/ -k "not (test_efficientnet and models/test_train.py)"
- name: Fuzz Test symbolic
run: python test/external/fuzz_symbolic.py
- name: Fuzz Test shapetracker
run: PYTHONPATH="." python test/external/fuzz_shapetracker.py
- name: Compile EfficientNet to C
run: PYTHONPATH="." CLANG=1 python3 examples/compile_efficientnet.py > recognize.c
- name: Compile C to native
run: clang -O2 recognize.c -lm -o recognize
- name: Test EfficientNet
run: curl https://media.istockphoto.com/photos/hen-picture-id831791190 | ./recognize | grep hen
testtorch:
name: Torch Tests
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: testing
- name: Install Dependencies
run: pip install -e '.[testing]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Run Pytest
run: TORCH=1 python -m pytest -n=auto test/
- name: Run ONNX
run: TORCH=1 python -m pytest -n=auto test/external/external_test_onnx_backend.py --tb=no --disable-warnings || true
testopencl:
strategy:
fail-fast: false
matrix:
task: [optimage, openpilot, multigpu]
name: ${{ matrix.task=='optimage'&&'GPU OPT and IMAGE Tests'|| matrix.task=='openpilot'&&'openpilot (OpenCL) Tests'|| matrix.task=='multigpu'&&'MultiGPU Tests'}}
runs-on: ubuntu-20.04
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
# - name: Find faster apt mirror
# uses: vegardit/fast-apt-mirror.sh@v1
- name: Update packages
run: |
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
sudo apt-get update
- name: Install OpenCL
#run: sudo apt-get install -y pocl-opencl-icd
run: sudo apt-get install -y intel-oneapi-runtime-compilers intel-oneapi-runtime-opencl
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: testing
- name: Install Dependencies
run: pip install -e '.[testing]' --extra-index-url https://download.pytorch.org/whl/cpu
- if: ${{ matrix.task == 'optimage' }}
name: Run Optimizer Test (OPT 2 and 3)
run: |
PYTHONPATH="." OPT=2 GPU=1 python -m pytest -n=auto test/external/external_test_opt.py
PYTHONPATH="." OPT=3 GPU=1 python -m pytest -n=auto test/external/external_test_opt.py
- if: ${{ matrix.task == 'optimage'}}
name: Test GPU IMAGE ops
run: |
GPU=1 IMAGE=1 python3 -m pytest -n=auto test/test_ops.py
FORWARD_ONLY=1 GPU=1 IMAGE=2 python3 -m pytest -n=auto test/test_ops.py
- if: ${{ matrix.task == 'openpilot' }}
name: Test openpilot model compile and size
run: |
DEBUG=2 ALLOWED_KERNEL_COUNT=199 FLOAT16=1 DEBUGCL=1 GPU=1 IMAGE=2 python3 openpilot/compile.py
python3 -c 'import os; assert os.path.getsize("/tmp/output.thneed") < 100_000_000'
- if: ${{ matrix.task == 'openpilot' }}
name: Test openpilot model correctness (float32)
run: DEBUGCL=1 GPU=1 IMAGE=2 python3 openpilot/compile.py
- if: ${{ matrix.task == 'openpilot' }}
name: Test tensor core ops
run: GPU=1 TC=2 python3 -m pytest -n=auto test/test_ops.py
- if: ${{ matrix.task == 'multigpu' }}
name: Test multigpu
run: |
PYTHONPATH="." python test/external/dist/test_world.py
PYTHONPATH="." python test/external/dist/test_collectives.py
testmetalwebgpu:
name: Metal and WebGPU Tests
runs-on: macos-13
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.11
uses: actions/setup-python@v4
with:
python-version: 3.11
- name: Cache pip
uses: actions/cache@v3
with:
path: ~/Library/Caches/pip
key: metalwebgpu
- name: Install Dependencies
run: pip install -e '.[metal,webgpu,testing]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Test LLaMA compile speed
run: PYTHONPATH="." METAL=1 python3 test/external/external_test_speed_llama.py
#- name: Run dtype test
# run: DEBUG=4 METAL=1 python -m pytest -n=auto test/test_dtype.py
# dtype test has issues on test_half_to_int8
- name: Run metal ops test
run: DEBUG=2 METAL=1 python -m pytest -n=auto test/test_ops.py
- name: Run JIT test
run: DEBUG=2 METAL=1 python -m pytest -n=auto test/test_jit.py
- name: Run symbolic shapetracker test
run: METAL=1 python -m pytest -n=auto test/test_symbolic_shapetracker.py test/test_symbolic_ops.py
- name: Check Device.DEFAULT
run: WEBGPU=1 python -c "from tinygrad.lazy import Device; assert Device.DEFAULT == 'WEBGPU', Device.DEFAULT"
#- name: Run webgpu pytest
# run: WEBGPU=1 WGPU_BACKEND_TYPE=Metal python -m pytest -n=auto --ignore test/models/ --ignore test/unit/test_example.py --ignore test/extra/test_lr_scheduler.py --ignore test/test_linearizer.py test/
#- name: Build WEBGPU Efficientnet
# run: WEBGPU=1 WGPU_BACKEND_TYPE=Metal python -m examples.compile_efficientnet
tests:
strategy:
fail-fast: false
matrix:
backend: [llvm, clang, gpu, cuda, ptx]
name: Tests on (${{ matrix.backend }})
runs-on: ${{ matrix.backend == 'gpu' && 'ubuntu-20.04' || 'ubuntu-latest' }}
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: '~/.cache/pip'
key: ${{ matrix.backend }}
- name: Set env
run: printf "${{ matrix.backend == 'llvm' && 'ENABLE_METHOD_CACHE=1\nLLVM=1' || matrix.backend == 'clang' && 'CLANG=1\nENABLED_METHOD_CACHE=1' || matrix.backend == 'gpu' && 'GPU=1' || matrix.backend == 'cuda' && 'FORWARD_ONLY=1\nJIT=1\nOPT=2\nCUDA=1\nCUDACPU=1\n' || matrix.backend == 'PTX' && 'FORWARD_ONLY=1\nJIT=1\nOPT=2\nCUDA=1\nCUDACPU=1\nPTX=1' }}" >> $GITHUB_ENV
- name: Find faster apt mirror
# uses: vegardit/fast-apt-mirror.sh@v1
# - name: Install packages (gpu)
if: matrix.backend == 'gpu'
run: |
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
sudo apt-get update -y && \
sudo apt-get install -y intel-oneapi-runtime-compilers intel-oneapi-runtime-opencl
- name: Install packages (cuda)
if: matrix.backend == 'cuda' || matrix.backend == 'ptx'
run: |
sudo apt-get update -y && \
sudo apt-get install -y --no-install-recommends git g++ cmake ninja-build llvm-15-dev zlib1g-dev libglew-dev flex bison libfl-dev libboost-thread-dev libboost-filesystem-dev nvidia-cuda-toolkit-gcc
- name: Cache gpuocelot
if: matrix.backend == 'cuda' || matrix.backend == 'ptx'
id: cache-build
uses: actions/cache@v3
env:
cache-name: cache-gpuocelot-build
with:
path: ${{ github.workspace }}/gpuocelot/ocelot
key: ubuntu22.04-gpuocelot-19626fc00b6ee321638c3111074269c69050e091
- name: Clone/compile gpuocelot
if: (matrix.backend == 'cuda' || matrix.backend == 'ptx') && steps.cache-build.outputs.cache-hit != 'true'
run: |
git clone --recurse-submodules https://github.com/gpuocelot/gpuocelot.git ${{ github.workspace }}/gpuocelot
cd ${{ github.workspace }}/gpuocelot/ocelot
git checkout 19626fc00b6ee321638c3111074269c69050e091
mkdir build
cd build
cmake .. -Wno-dev -G Ninja -DOCELOT_BUILD_TOOLS=OFF
ninja
- name: Install gpuocelot
if: matrix.backend == 'cuda' || matrix.backend == 'ptx'
run: |
cd ${{ github.workspace }}/gpuocelot/ocelot/build
sudo ninja install
- name: Install dependencies
run: pip install -e '.[testing${{matrix.backend=='llvm'&&',llvm'||matrix.backend=='cuda'&&',cuda'||matrix.backend=='ptx'&&',cuda'||''}}]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Check Device.DEFAULT
run: python -c "from tinygrad.lazy import Device; assert Device.DEFAULT in ['LLVM','CLANG','CUDA','GPU'], Device.DEFAULT"
- name: Run pytest (not cuda)
if: matrix.backend!='cuda' && matrix.backend!='ptx'
run: python -m pytest -n=auto test/ -k '${{matrix.backend=='llvm'&&'not (test_nn.py and test_conv_transpose2d)'||'test'}}' -m 'not exclude_${{matrix.backend}}'
- name: Run pytest (cuda)
if: matrix.backend=='cuda'
run: python -m pytest -n=auto test/ -k 'not (half or test_efficientnet_safetensors) and not (test_conv2d and test_tensor.py)' -m 'not exclude_cuda' --ignore=test/external --ignore=test/models
- name: Run pytest (ptx)
if: matrix.backend=='ptx'
run: python -m pytest -n=auto test/ -k 'not (half or test_efficientnet_safetensors) and not (test_conv2d and test_tensor.py)' -m 'not exclude_cuda' --ignore=test/external --ignore=test/models
testunicorn:
name: ARM64 unicorn Test
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Set up Python 3.8
uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Cache pip
uses: actions/cache@v3
with:
path: '~/.cache/pip'
key: unicorn
- name: Install cross-assembler
run: |
sudo apt-get update -y && \
sudo apt-get install -y --no-install-recommends gcc-aarch64-linux-gnu
- name: Install dependencies
run: pip install -e '.[testing,arm]' --extra-index-url https://download.pytorch.org/whl/cpu
- name: Test arm
run: CI=1 ARM64=1 CLANG=1 python -m pytest -n=auto test/ -k 'not (test_nn.py and (test_conv_transpose2d or test_conv2d))' --ignore=test/models --ignore=test/test_speed_v_torch.py --ignore=test/test_net_speed.py --ignore=test/test_specific_conv.py --ignore=test/unit/test_disk_tensor.py