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IQ.Pilot Prebuilt Release @ ab07000

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IQ.Lvbs history cleanup
2026-08-22 23:42:42 -05:00
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16
tinygrad_repo/.github/actions/process-replay/action.yml vendored Normal file
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name: Run process replay tests
description: Verify process replay compared to master
runs:
using: "composite"
steps:
- name: Run process replay tests
shell: bash
if: env.CAPTURE_PROCESS_REPLAY == '1'
run: |
export PR_TITLE=$(jq -r .pull_request.title "$GITHUB_EVENT_PATH")
export CURRENT_SHA=${{ github.event.pull_request && github.event.pull_request.head.sha || github.sha }}
git fetch origin $CURRENT_SHA
export COMMIT_MESSAGE=$(git show -s --format=%B "$CURRENT_SHA")
export CURRENT_HEAD=$(git rev-parse HEAD)
cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && CHECK_OOB=0 PYTHONPATH=. python3 process_replay.py
git checkout $CURRENT_HEAD # restore to branch

362
tinygrad_repo/.github/actions/setup-tinygrad/action.yml vendored Normal file
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name: Setup Python & Install
description: Sets up Python and installs project dependencies.
inputs:
python-version:
description: 'Python version to use'
required: false
default: '3.12'
key:
description: 'Key for the python cache'
required: false
default: '' # if you don't set a key, it doesn't cache
deps:
description: 'Extra dependency groups (comma separated)'
required: false
default: ''
pydeps:
description: 'Extra Python dependency groups (space separated)'
required: false
default: ''
opencl:
description: "Install OpenCL?"
required: false
default: 'false'
amd:
description: "Install AMD?"
required: false
default: 'false'
cuda:
description: "Install CUDA?"
required: false
default: 'false'
ocelot:
description: "Install gpuocelot?"
required: false
default: 'false'
webgpu:
description: "Install webgpu?"
required: false
default: 'false'
llvm:
description: "Install LLVM?"
required: false
default: 'false'
mesa:
description: "Install mesa (true, false, cpu)"
required: false
default: 'false'
tinydreno:
description: "Install tinydreno"
required: false
default: 'false'
qemu:
description: "Install qemu"
required: false
default: 'false'
runs:
using: "composite"
steps:
- name: Set up Python ${{ inputs.python-version }}
id: setup-python
uses: actions/setup-python@v6
with:
python-version: ${{ inputs.python-version }}
# **** Caching packages ****
- name: Cache Python packages (PR)
if: github.event_name == 'pull_request'
id: restore-venv-pr
uses: actions/cache/restore@v4
with:
path: ${{ github.workspace }}/.venv
key: venv-${{ runner.os }}-${{ runner.arch }}-python-${{ steps.setup-python.outputs.python-version }}-${{ inputs.deps }}-${{ inputs.pydeps }}-${{ env.CACHE_VERSION }}
- name: Cache Python packages
if: github.event_name != 'pull_request'
id: restore-venv
uses: actions/cache@v5
with:
path: ${{ github.workspace }}/.venv
key: venv-${{ runner.os }}-${{ runner.arch }}-python-${{ steps.setup-python.outputs.python-version }}-${{ inputs.deps }}-${{ inputs.pydeps }}-${{ env.CACHE_VERSION }}
# **** Caching downloads ****
- name: Cache downloads (PR)
if: inputs.key != '' && github.event_name == 'pull_request'
uses: actions/cache/restore@v4
with:
path: ${{ runner.os == 'Linux' && '~/.cache/tinygrad/downloads/' || '~/Library/Caches/tinygrad/downloads/' }}
key: downloads-${{ github.job }}-${{ inputs.key }}-${{ env.CACHE_VERSION }}
- name: Cache downloads
if: inputs.key != '' && github.event_name != 'pull_request'
uses: actions/cache@v5
with:
path: ${{ runner.os == 'Linux' && '~/.cache/tinygrad/downloads/' || '~/Library/Caches/tinygrad/downloads/' }}
key: downloads-${{ github.job }}-${{ inputs.key }}-${{ env.CACHE_VERSION }}
# **** Python deps ****
- name: Install dependencies in venv (with extra)
if: inputs.deps != '' && steps.restore-venv-pr.outputs.cache-hit != 'true' && steps.restore-venv.outputs.cache-hit != 'true'
shell: bash
run: |
python -m venv .venv
if [[ "$RUNNER_OS" == "Windows" ]]; then
source .venv/Scripts/activate
else
. .venv/bin/activate
fi
python -m pip install -e ".[${{ inputs.deps }}]" ${{ inputs.pydeps }} --extra-index-url https://download.pytorch.org/whl/cpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/
- name: Install dependencies in venv (without extra)
if: inputs.deps == '' && steps.restore-venv-pr.outputs.cache-hit != 'true' && steps.restore-venv.outputs.cache-hit != 'true'
shell: bash
run: |
python -m venv .venv
if [[ "$RUNNER_OS" == "Windows" ]]; then
source .venv/Scripts/activate
else
. .venv/bin/activate
fi
python -m pip install -e . ${{ inputs.pydeps }}
- name: Set up venv environment
shell: bash
run: |
echo "VIRTUAL_ENV=${{ github.workspace }}/.venv" >> "$GITHUB_ENV"
echo "OMP_NUM_THREADS=1" >> "$GITHUB_ENV"
# no buffers should be over 300MB in CI
echo "MAX_BUFFER_SIZE=300000000" >> "$GITHUB_ENV"
if [[ "$RUNNER_OS" == "Windows" ]]; then
echo "${{ github.workspace }}/.venv/Scripts" >> "$GITHUB_PATH"
else
echo "${{ github.workspace }}/.venv/bin" >> "$GITHUB_PATH"
fi
# ******************* apt *******************
- name: Setup apt
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.ocelot == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true' || inputs.qemu == 'true')
shell: bash
run: |
sudo chown -R $USER:$USER /var/cache/apt/archives
echo 'Acquire::GzipIndexes "true";' | sudo tee /etc/apt/apt.conf.d/gzip
echo 'Acquire::http::Pipeline-Depth "5";' | sudo tee -a /etc/apt/apt.conf.d/99parallel
echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' | sudo tee -a /etc/apt/apt.conf.d/99keep-debs
- name: Add OpenCL Repo
if: inputs.opencl == 'true' && runner.os == 'Linux'
shell: bash
run: echo "deb [ allow-insecure=yes ] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
- name: Add AMD Repo (Linux)
if: inputs.amd == 'true' && runner.os == 'Linux'
shell: bash
run: |
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
sudo tee /etc/apt/sources.list.d/rocm.list <<EOF
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/7.1 $(lsb_release -cs) main
EOF
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
- name: Add LLVM Repo (Linux)
if: inputs.llvm == 'true' && runner.os == 'Linux'
shell: bash
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc
echo "deb http://apt.llvm.org/$(lsb_release -cs)/ llvm-toolchain-$(lsb_release -cs)-20 main" | sudo tee /etc/apt/sources.list.d/llvm.list
- name: Compute Package List + Hash
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.ocelot == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true' || inputs.qemu == 'true')
id: apt-pkgs
shell: bash
run: |
pkgs=""
# **** OpenCL ****
if [[ "${{ inputs.opencl }}" == "true" ]]; then
pkgs+=" opencl-headers \
intel-oneapi-runtime-openmp=2023.2.1-16 intel-oneapi-runtime-compilers-common=2023.2.1-16 intel-oneapi-runtime-compilers=2023.2.1-16 \
intel-oneapi-runtime-dpcpp-sycl-opencl-cpu=2023.2.1-16 intel-oneapi-runtime-tbb-common=2021.10.0-49541 \
intel-oneapi-runtime-tbb=2021.10.0-49541 intel-oneapi-runtime-opencl=2023.2.1-16"
fi
# **** AMD ****
if [[ "${{ inputs.amd }}" == "true" ]]; then
pkgs+=" hsa-rocr comgr hsa-rocr-dev liburing-dev libibverbs-dev libc6-dev"
fi
# **** ocelot (dependencies) ****
if [[ "${{ inputs.ocelot }}" == "true" ]]; then
pkgs+=" git g++ cmake ninja-build llvm-15-dev zlib1g-dev libglew-dev \
flex bison libfl-dev libboost-thread-dev libboost-filesystem-dev libzstd-dev"
fi
# **** WebGPU (dependencies for software-based vulkan) ****
if [[ "${{ inputs.webgpu }}" == "true" ]]; then
pkgs+=" libgl1 libglx-mesa0 libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers"
fi
# **** LLVM ****
if [[ "${{ inputs.llvm }}" == "true" ]]; then
pkgs+=" libllvm20 clang-20 lld-20"
fi
# **** QEMU ****
if [[ "${{ inputs.qemu }}" == "true" ]]; then
pkgs+=" qemu-user-static"
fi
echo "pkgs=$pkgs" >> "$GITHUB_OUTPUT"
echo "hash=$(echo -n "$pkgs" | sha256sum | cut -d' ' -f1)" >> "$GITHUB_OUTPUT"
- name: Cache apt (PR)
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.ocelot == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true' || inputs.qemu == 'true') && github.event_name == 'pull_request'
uses: actions/cache/restore@v4
with:
path: /var/cache/apt/archives/
key: ${{ runner.os }}-${{ runner.arch }}-apt-${{ steps.apt-pkgs.outputs.hash }}-${{ env.CACHE_VERSION }}
- name: Cache apt
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.ocelot == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true' || inputs.qemu == 'true') && github.event_name != 'pull_request'
uses: actions/cache@v5
with:
path: /var/cache/apt/archives/
key: ${{ runner.os }}-${{ runner.arch }}-apt-${{ steps.apt-pkgs.outputs.hash }}-${{ env.CACHE_VERSION }}
- name: Run apt Update + Install
if: runner.os == 'Linux' && (inputs.opencl == 'true' || inputs.amd == 'true' || inputs.ocelot == 'true' || inputs.webgpu == 'true' || inputs.llvm == 'true' || inputs.qemu == 'true')
shell: bash
run: |
sudo apt -qq update || true
# ******** do install ********
if [[ -n "${{ steps.apt-pkgs.outputs.pkgs }}" ]]; then
sudo apt-get -y --allow-unauthenticated --no-install-recommends install ${{ steps.apt-pkgs.outputs.pkgs }}
fi
sudo chown -R $USER:$USER /var/cache/apt/archives/
- name: Add clang to PATH (Linux)
if: inputs.llvm == 'true' && runner.os == 'Linux'
shell: bash
run: echo "/usr/lib/llvm-20/bin" >> "$GITHUB_PATH"
# **** AMD ****
- name: Setup AMD (Linux)
if: inputs.amd == 'true' && runner.os == 'Linux'
shell: bash
run: |
sudo tee --append /etc/ld.so.conf.d/rocm.conf <<'EOF'
/opt/rocm/lib
/opt/rocm/lib64
EOF
sudo ldconfig
- name: Setup AMD comgr (macOS)
if: inputs.amd == 'true' && runner.os == 'macOS'
shell: bash
run: |
sudo mkdir -p /usr/local/lib
curl -s -H "Authorization: token $GH_TOKEN" curl -s https://api.github.com/repos/tinygrad/amdcomgr_dylib/releases/latest | \
jq -r '.assets[] | select(.name == "libamd_comgr.dylib").browser_download_url' | \
sudo xargs curl -fL -o /usr/local/lib/libamd_comgr.dylib
# **** CUDA ****
- name: Install CUDA
if: inputs.cuda == 'true'
shell: bash
run: |
sudo mkdir -p /usr/local/cuda/targets/x86_64-linux
curl -fL https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/linux-x86_64/cuda_nvrtc-linux-x86_64-11.5.119-archive.tar.xz \
| sudo tar -xJ -C /usr/local/cuda/targets/x86_64-linux --strip-components=1
echo /usr/local/cuda/targets/x86_64-linux/lib | sudo tee /etc/ld.so.conf.d/cuda-nvrtc.conf
sudo ldconfig
# **** gpuocelot ****
- name: Install gpuocelot dependencies (MacOS)
if: inputs.ocelot == 'true' && runner.os == 'macOS'
shell: bash
run: |
pkgs=(cmake ninja llvm@15 zlib glew flex bison boost@1.85 zstd ncurses)
for f in "${pkgs[@]}"; do
brew ls --versions "$f" >/dev/null 2>&1 || brew install --quiet "$f"
done
# Fix boost 1.85 for gpuocelot
ln -s /opt/homebrew/opt/boost@1.85 /opt/homebrew/opt/boost || true
ln -s /opt/homebrew/opt/boost/lib/libboost_atomic-mt.dylib /opt/homebrew/opt/boost/lib/libboost_atomic.dylib || true
ln -s /opt/homebrew/opt/boost/lib/libboost_thread-mt.dylib /opt/homebrew/opt/boost/lib/libboost_thread.dylib || true
- name: Cache gpuocelot (PR)
if: inputs.ocelot == 'true' && github.event_name == 'pull_request'
id: cache-build-pr
uses: actions/cache/restore@v4
env:
cache-name: cache-gpuocelot-build-1
with:
path: ${{ github.workspace }}/gpuocelot/ocelot
key: ${{ runner.os }}-gpuocelot-f463259669c69abce7b3a0567b6c284f348d0f32-rebuild-${{ env.CACHE_VERSION }}
- name: Cache gpuocelot
if: inputs.ocelot == 'true' && github.event_name != 'pull_request'
id: cache-build
uses: actions/cache@v5
env:
cache-name: cache-gpuocelot-build-1
with:
path: ${{ github.workspace }}/gpuocelot/ocelot
key: ${{ runner.os }}-gpuocelot-f463259669c69abce7b3a0567b6c284f348d0f32-rebuild-${{ env.CACHE_VERSION }}
- name: Clone/compile gpuocelot
if: inputs.ocelot == 'true' && steps.cache-build-pr.outputs.cache-hit != 'true' && steps.cache-build.outputs.cache-hit != 'true'
shell: bash
run: |
git clone --recurse-submodules https://github.com/tinygrad/gpuocelot.git ${{ github.workspace }}/gpuocelot
cd ${{ github.workspace }}/gpuocelot/ocelot
git checkout f463259669c69abce7b3a0567b6c284f348d0f32
mkdir build
cd build
CMAKE_ARGS="-Wno-dev -G Ninja -DOCELOT_BUILD_TOOLS=OFF -DCMAKE_BUILD_ALWAYS=0 -DBUILD_TESTS_CUDA=OFF -DCMAKE_POLICY_VERSION_MINIMUM=3.5"
if [[ "${{ runner.os }}" == "macOS" ]]; then
sudo xcode-select -s /Applications/Xcode_16.2.app/Contents/Developer
CMAKE_ARGS="$CMAKE_ARGS -DBoost_INCLUDE_DIR=$(brew --prefix boost)/include -DBoost_LIBRARY_DIR=$(brew --prefix boost)/lib"
else
CMAKE_ARGS="$CMAKE_ARGS -DLLVM_DIR=$(llvm-config-15 --cmakedir)"
fi
cmake .. $CMAKE_ARGS
ninja
- name: Install gpuocelot
if: inputs.ocelot == 'true'
shell: bash
run: |
cd ${{ github.workspace }}/gpuocelot/ocelot/build
sudo cp libgpuocelot.${{ runner.os == 'macOS' && 'dylib' || 'so' }} /usr/${{ runner.os == 'macOS' && 'local/' || '' }}lib/
# **** WebGPU ****
- name: Install WebGPU dawn (Linux)
if: inputs.webgpu == 'true' && runner.os == 'Linux'
shell: bash
run: |
sudo curl -fL https://github.com/wpmed92/pydawn/releases/download/v0.1.6/libwebgpu_dawn.so -o /usr/local/lib/libwebgpu_dawn.so
sudo ldconfig
- name: Install WebGPU dawn (macOS)
if: inputs.webgpu == 'true' && runner.os == 'macOS'
shell: bash
run: |
brew tap wpmed92/dawn
brew install dawn
# **** LLVM ****
- name: Install LLVM (macOS)
if: inputs.llvm == 'true' && runner.os == 'macOS'
shell: bash
run: brew install llvm@20
# **** mesa ****
- name: Install mesa (linux)
if: inputs.mesa != 'false' && runner.os == 'Linux'
shell: bash
run: sudo curl -fL https://github.com/sirhcm/tinymesa/releases/download/v1/libtinymesa${{ inputs.mesa == 'cpu' && '_cpu' || '' }}-mesa-25.2.7-linux-amd64.so -o /usr/lib/libtinymesa${{ inputs.mesa == 'cpu' && '_cpu' || '' }}.so
- name: Install mesa (macOS)
if: inputs.mesa != 'false' && runner.os == 'macOS'
shell: bash
run: brew install sirhcm/tinymesa/tinymesa${{ inputs.mesa == 'cpu' && '_cpu' || '' }}
# *** tinydreno ***
- name: Install tinydreno (linux)
if: inputs.tinydreno == 'true' && runner.os == 'Linux'
shell: bash
run: sudo curl -fL https://github.com/sirhcm/tinydreno/raw/refs/heads/master/libllvm-qcom.so -o /usr/lib/libllvm-qcom.so

143
tinygrad_repo/.github/workflows/autogen.yml vendored Normal file
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name: Autogen
env:
# increment this when downloads substantially change to avoid the internet
CACHE_VERSION: '13'
CAPTURE_PROCESS_REPLAY: 1
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PYTHONPATH: ${{ github.workspace }}
on:
push:
branches:
- master
pull_request:
paths:
- 'tinygrad/runtime/autogen/**/*'
- 'tinygrad/runtime/support/autogen.py'
- '.github/workflows/autogen.yml'
workflow_dispatch:
paths:
- 'tinygrad/runtime/autogen/**/*'
- 'tinygrad/runtime/support/autogen.py'
- '.github/workflows/autogen.yml'
jobs:
autogen:
name: In-tree Autogen
runs-on: ubuntu-24.04
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen'
amd: 'true'
llvm: 'true'
pydeps: 'pyyaml mako'
- name: Install autogen support packages
run: sudo apt-get install -y --no-install-recommends libclang-20-dev llvm-20-dev hip-dev libusb-1.0-0-dev libdrm-dev
- name: Regenerate autogen files
run: |
find tinygrad/runtime/autogen -type f -name "*.py" -not -path "*/amd/*" -not -name "__init__.py" -not -name "comgr.py" -not -name "metal.py" -not -name "iokit.py" -not -name "corefoundation.py" -not -name "libclang.py" -delete
python3 -c "from tinygrad.runtime.autogen import opencl"
python3 -c "from tinygrad.runtime.autogen import cuda, nvrtc, nvjitlink, nv_570, nv_580, nv"
python3 -c "from tinygrad.runtime.autogen import comgr_3, hsa, hip, amd_gpu, sqtt, rocprof, amdgpu_kd, amdgpu_drm"
python3 -c "from tinygrad.runtime.autogen.am import *"
python3 -c "from tinygrad.runtime.autogen.nv_regs import *"
python3 -c "from tinygrad.runtime.autogen import libc, kfd, io_uring, ib, pci, vfio"
python3 -c "from tinygrad.runtime.autogen import llvm"
python3 -c "from tinygrad.runtime.autogen import webgpu"
python3 -c "from tinygrad.runtime.autogen import kgsl, qcom_dsp"
python3 -c "from tinygrad.runtime.autogen import libusb"
python3 -c "from tinygrad.runtime.autogen import mesa"
python3 -c "from tinygrad.runtime.autogen import avcodec"
python3 -c "from tinygrad.runtime.autogen import llvm_qcom"
python3 -c "from tinygrad.runtime.autogen import mlx5"
python3 -c "from tinygrad.runtime.autogen import ggml_common"
REGEN=1 python3 -c "from tinygrad.runtime.autogen import libclang"
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-ubuntu.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v7
with:
name: autogen-ubuntu-patch
path: autogen-ubuntu.patch
autogen-mac:
name: In-tree Autogen (macos)
runs-on: macos-14
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen-mac'
llvm: 'true'
- name: Regenerate autogen files
run: |
rm tinygrad/runtime/autogen/metal.py tinygrad/runtime/autogen/iokit.py tinygrad/runtime/autogen/corefoundation.py
python3 -c "from tinygrad.runtime.autogen import metal, iokit, corefoundation"
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-macos.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v7
with:
name: autogen-macos-patch
path: autogen-macos.patch
autogen-comgr-2:
name: In-tree Autogen (comgr 2)
runs-on: ubuntu-24.04
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: 'autogen-comgr'
- name: Install autogen support packages
run: |
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
sudo tee /etc/apt/sources.list.d/rocm.list <<EOF
deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.2 $(lsb_release -cs) main
EOF
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt -qq update || true
sudo apt-get install -y --no-install-recommends libclang-20-dev comgr
- name: Regenerate autogen files
run: |
rm tinygrad/runtime/autogen/comgr.py
python3 -c "from tinygrad.runtime.autogen import comgr"
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff
git diff > autogen-comgr2.patch
echo "Autogen mismatch detected. Patch available at: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v7
with:
name: autogen-comgr2-patch
path: autogen-comgr2.patch

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tinygrad_repo/.github/workflows/benchmark.yml vendored Normal file
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name: Benchmarks
env:
# TODO: this rescheduling makes gpt2, mixtral and llama unjitted slower
# TODO: very slow for llama 70B and resnet training 6 GPU
CAPTURE_PROCESS_REPLAY: "1"
ASSERT_PROCESS_REPLAY: "0"
PYTHONPATH: .
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
on:
push:
branches:
- master
- update_benchmark
- update_benchmark_staging
workflow_dispatch:
jobs:
# the goal of this test is to replicate a normal person on a laptop running the test
# no process replay, no benchmarks, no CI, just a normal laptop person
# the 3 minute timeout should not be raised
testmacpytest:
name: Mac pytest
env:
CI: ""
CAPTURE_PROCESS_REPLAY: "0"
runs-on: [self-hosted, macOS]
timeout-minutes: 4
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
# brew install uv
- name: setup python environment
run: |
rm -rf /tmp/tinygrad_pytest_ci
uv venv /tmp/tinygrad_pytest_ci
source /tmp/tinygrad_pytest_ci/bin/activate
uv pip install .[testing]
- name: setup staging db
run: |
echo "CACHEDB=/tmp/pytest-db-ci.db" >> $GITHUB_ENV
rm -f /tmp/pytest-db-ci*
- name: Run pytest -nauto
run: |
source /tmp/tinygrad_pytest_ci/bin/activate
pytest -nauto --durations=20
- name: openpilot compile3 0.10.1 driving_vision
run: FLOAT16=1 DEV=CL IMAGE=1 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
# TODO: reenable when not flaky
#testframeworkpytest:
# name: framework pytest
# env:
# CI: ""
# CAPTURE_PROCESS_REPLAY: "0"
# runs-on: [self-hosted, framework]
# timeout-minutes: 10
# defaults:
# run:
# shell: bash -e -o pipefail {0}
# if: github.repository_owner == 'tinygrad'
# steps:
# - name: Checkout Code
# uses: actions/checkout@v6
# - name: setup python environment
# run: |
# rm -rf /tmp/tinygrad_pytest_ci
# uv venv /tmp/tinygrad_pytest_ci
# source /tmp/tinygrad_pytest_ci/bin/activate
# uv pip install .[testing]
# - name: setup staging db
# run: |
# echo "CACHEDB=/tmp/pytest-db-ci.db" >> $GITHUB_ENV
# rm -f /tmp/pytest-db-ci*
# - name: Run pytest -nauto
# run: |
# source /tmp/tinygrad_pytest_ci/bin/activate
# pytest -nauto --durations=20
testmacbenchmark:
name: Mac Benchmark
runs-on: [self-hosted, macOS]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Symlink models and datasets
run: |
mkdir -p weights
mkdir -p extra/disassemblers
ln -s ~/tinygrad/extra/disassemblers/applegpu extra/disassemblers/applegpu
ln -s ~/tinygrad/weights/sd-v1-4.ckpt weights/sd-v1-4.ckpt
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: python3.11 test/external/process_replay/reset.py
- name: Print macOS version
run: sw_vers
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
- name: Run Stable Diffusion without fp16
run: BENCHMARK_LOG=stable_diffusion_fp32 JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --seed 0 --noshow --timing
- name: Run Stable Diffusion v2
# TODO: very slow step time
run: BENCHMARK_LOG=stable_diffusion_v2 JIT=1 ASSERT_MIN_STEP_TIME=4500 python3.11 examples/sdv2.py --fp16 --seed 0 --noshow --timing
# process replay can't capture this, the graph is too large
- name: Run SDXL
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=5000 CAPTURE_PROCESS_REPLAY=0 JIT=1 python3.11 examples/sdxl.py --seed 0 --noshow --timing
- name: Run model inference benchmark
run: DEV=METAL NOCLANG=1 python3.11 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: BIG=2 MPS=1 python3.11 test/speed/external_test_speed_v_torch.py
- name: Test tensor cores
run: DEV=METAL python3.11 test/opt/test_tensor_cores.py
- name: Test AMX tensor cores
run: |
DEBUG=2 DEV=CPU AMX=1 python3.11 test/opt/test_tensor_cores.py
DEBUG=2 DEV=CPU:LLVM AMX=1 python3.11 test/opt/test_tensor_cores.py
DEBUG=2 DEV=CPU AMX=1 python3.11 test/opt/test_gen_float4.py TestFloat4.test_float4_multidim_amx TestFloat4.test_float4_multidim_unaligned_load_amx
DEBUG=2 DEV=CPU:LLVM AMX=1 python3.11 test/opt/test_gen_float4.py TestFloat4.test_float4_multidim_amx TestFloat4.test_float4_multidim_unaligned_load_amx
- name: Run Tensor Core GEMM (float)
run: DEBUG=2 SHOULD_USE_TC=1 python3.11 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (half)
run: DEBUG=2 SHOULD_USE_TC=1 HALF=1 python3.11 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (bfloat16)
run: DEBUG=2 SHOULD_USE_TC=1 BFLOAT16=1 python3.11 extra/gemm/simple_matmul.py
- name: Fuzz Padded Tensor Core GEMM
run: DEV=METAL M_START=6 M_STOP=10 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=6 K_STOP=24 K_STEP=1 TC_OPT=2 DEBUG=2 python3.11 ./extra/gemm/fuzz_matmul.py
- name: Run LLaMA
run: |
BENCHMARK_LOG=llama_nojit JIT=0 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama JIT=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA with BEAM
run: BENCHMARK_LOG=llama_beam JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run quantized LLaMA
run: |
BENCHMARK_LOG=llama_int8 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize int8
BENCHMARK_LOG=llama_nf4 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize nf4
- name: Run quantized LLaMA3
run: |
BENCHMARK_LOG=llama3_int8 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize int8
BENCHMARK_LOG=llama3_nf4 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize nf4
#- name: Run LLaMA 7B on 4 (virtual) GPUs
# run: python3.11 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit JIT=0 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 JIT=1 ASSERT_MIN_STEP_TIME=13 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half HALF=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run OLMoE
run: BENCHMARK_LOG=olmoe python3.11 examples/olmoe.py
- name: Train MNIST
run: time PYTHONPATH=. TARGET_EVAL_ACC_PCT=96.0 python3.11 examples/beautiful_mnist.py
# NOTE: this is failing in CI. it is not failing on my machine and I don't really have a way to debug it
# the error is "RuntimeError: Internal Error (0000000e:Internal Error)"
#- name: Run 10 CIFAR training steps
# run: BENCHMARK_LOG=cifar_10steps JIT=1 ASSERT_MIN_STEP_TIME=3000 STEPS=10 python3.11 examples/hlb_cifar10.py
#- name: Run 10 CIFAR training steps w HALF
# run: BENCHMARK_LOG=cifar_10steps_half JIT=2 ASSERT_MIN_STEP_TIME=3000 STEPS=10 DEFAULT_FLOAT=HALF python3.11 examples/hlb_cifar10.py
#- name: Run 10 CIFAR training steps w BF16
# run: STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3.11 examples/hlb_cifar10.py
# TODO: too slow
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_wino JIT=1 ASSERT_MIN_STEP_TIME=150 WINO=1 STEPS=10 python3.11 examples/hlb_cifar10.py
- uses: actions/upload-artifact@v7
with:
name: Speed (Mac)
path: |
onnx_inference_speed.csv
- name: Run process replay tests
uses: ./.github/actions/process-replay
testusbgpu:
name: UsbGPU Benchmark
runs-on: [self-hosted, macOS]
timeout-minutes: 10
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: Kill stale pids
run: |
PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
PYTHONPATH=. ./extra/hcq/hcq_smi.py nv kill_pids
# since sudo is required for usbgpu on macos, do not write bytecode, as some of the files are owned by root
- name: UsbGPU boot time
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEBUG=2 AM_RESET=1 DEV=USB+AMD time python3.11 test/test_tiny.py TestTiny.test_plus
- name: UsbGPU tiny tests
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3.11 test/test_tiny.py
- name: UsbGPU copy speeds
run: sudo -E PYTHONDONTWRITEBYTECODE=1 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3.11 test/external/external_test_usb_asm24.py TestDevCopySpeeds
#- name: UsbGPU openpilot test
# run: sudo -E PYTHONPATH=. GMMU=0 DEV=USB+AMD GRAPH_ONE_KERNEL=1 python3.11 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/9118973ed03c1ae1d40cf69a29507ec2cc78efd7/selfdrive/modeld/models/supercombo.onnx
- name: UsbGPU (USB4/TB) install script
run: PYTHONPATH=. sh extra/setup_tinygpu_osx.sh
- name: UsbGPU (USB4/TB) boot time
run: PYTHONPATH=. DEBUG=3 DEV=PCI+NV:NAK time python3.11 test/test_tiny.py TestTiny.test_plus
- name: UsbGPU (USB4/TB) tiny tests
run: PYTHONPATH=. DEV=PCI+NV:NAK python3.11 test/test_tiny.py
testnvidiabenchmark:
name: tinybox green Benchmark
runs-on: [self-hosted, Linux, tinyboxgreen]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Print nvidia-smi
run: nvidia-smi
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
ln -s /raid/weights/LLaMA-3 weights/LLaMA-3
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Run model inference benchmark
run: DEV=NV CAPTURE_PROCESS_REPLAY=0 NOCLANG=1 python3 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: DEV=NV CAPTURE_PROCESS_REPLAY=0 HALF=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py
- name: Test speed vs theoretical
run: DEV=NV IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Test benchmark allreduce
run: DEV=NV python test/external/external_benchmark_multitensor_allreduce.py
- name: Test tensor cores
run: |
DEV=NV ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
DEV=NV:PTX ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
- name: Run Tensor Core GEMM (CUDA)
run: |
DEV=CUDA SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 ALLOW_TF32=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
DEV=CUDA SHOULD_USE_TC=1 FP8E4M3=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (PTX)
run: DEV=NV:PTX SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (NV)
run: DEV=NV SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Test DEV=NV
run: DEBUG=2 DEV=NV python -m pytest -rA test/test_tiny.py
- name: Test DEV=CUDA
run: DEBUG=2 DEV=CUDA python -m pytest -rA test/test_tiny.py
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion DEV=NV python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
# TODO: too slow
# - name: Run SDXL
# run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=2000 CAPTURE_PROCESS_REPLAY=0 DEV=NV CAPTURE_PROCESS_REPLAY=0 python3 examples/sdxl.py --seed 0 --noshow --timing
- name: Run LLaMA
run: |
BENCHMARK_LOG=llama_nojit DEV=NV JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama DEV=NV JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA with BEAM
run: BENCHMARK_LOG=llama_beam DEV=NV JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 4 GPUs
# run: DEV=NV CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 6 GPUs
# run: DEV=NV CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA-3 8B BEAM
run: BENCHMARK_LOG=llama3_beam DEV=NV JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run LLaMA-3 8B on 4 GPUs with BEAM
run: BENCHMARK_LOG=llama3_beam_4gpu DEV=NV JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run quantized LLaMA3
run: BENCHMARK_LOG=llama3_fp8 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --temperature 0 --benchmark --quantize fp8
# - name: Run LLaMA-3 8B on 6 GPUs
# run: DEV=NV CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
# - name: Run LLaMA-2 70B
# run: DEV=NV CAPTURE_PROCESS_REPLAY=0 MAX_CONTEXT=256 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run Mixtral 8x7B
run: time BENCHMARK_LOG=mixtral DEV=NV CAPTURE_PROCESS_REPLAY=0 python3 examples/mixtral.py --temperature 0 --count 10 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit DEV=NV JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 DEV=NV JIT=1 ASSERT_MIN_STEP_TIME=4 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half DEV=NV HALF=1 ASSERT_MIN_STEP_TIME=6 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam DEV=NV HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- uses: actions/upload-artifact@v7
with:
name: Speed (NVIDIA)
path: |
onnx_inference_speed.csv
- name: Run process replay tests
uses: ./.github/actions/process-replay
testmorenvidiabenchmark:
name: tinybox green Training Benchmark
runs-on: [self-hosted, Linux, tinyboxgreen]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
# TODO: too slow
# - name: Fuzz Padded Tensor Core GEMM (NV)
# run: DEV=NV M_START=12 M_STOP=20 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 python3 ./extra/gemm/fuzz_matmul.py
# TODO: too slow
# - name: Fuzz Padded Tensor Core GEMM (PTX)
# run: DEV=NV:PTX M_START=12 M_STOP=20 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 python3 ./extra/gemm/fuzz_matmul.py
- name: HEVC Decode Benchmark
run: VALIDATE=1 MAX_FRAMES=100 ASSERT_FPS=1400 JITBEAM=1 DEV=NV PYTHONPATH=. python3 extra/hevc/decode.py
- name: Train MNIST
run: time PYTHONPATH=. DEV=NV TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=120 DEV=NV STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=120 DEV=NV STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w BF16
run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=120 DEV=NV STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=350 DEV=NV WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar DEV=NV DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run full CIFAR training steps w 6 GPUS
run: time BENCHMARK_LOG=cifar_6gpu CAPTURE_PROCESS_REPLAY=0 DEV=NV DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run MLPerf resnet eval on training data
run: time BENCHMARK_LOG=resnet_eval DEV=NV MODEL=resnet python3 examples/mlperf/model_eval.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps DEV=NV DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf ResNet50 training steps (6 gpu)
run: BENCHMARK_LOG=resnet_10steps_6gpu DEV=NV CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (6 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps_6gpu DEV=NV CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
testamdbenchmark:
name: tinybox red Benchmark
runs-on: [self-hosted, Linux, tinybox]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
#- name: Insert amdgpu
# run: sudo modprobe amdgpu
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
ln -s /raid/weights/LLaMA-3 weights/LLaMA-3
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
#- name: setup perflevel
# run: |
# examples/mlperf/training_submission_v4.1/tinycorp/benchmarks/bert/implementations/tinybox_red/setup.sh
# rocm-smi
#- name: Show off tinybox
# run: /opt/rocm/bin/rocm-bandwidth-test
# TODO: unstable on AMD
#- name: Run model inference benchmark
# run: LD_PRELOAD="/opt/rocm/lib/libhsa-runtime64.so" HSA=1 NOCLANG=1 python3 test/external/external_model_benchmark.py
# TODO: unstable on AMD
#- name: Test speed vs torch
# run: |
# python3 -c "import torch; print(torch.__version__)"
# LD_PRELOAD="/opt/rocm/lib/libhsa-runtime64.so" HSA=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py
- name: Test speed vs theoretical
run: DEV=AMD IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Test tensor cores (no LLVM)
run: DEV=AMD python3 test/opt/test_tensor_cores.py
# TODO: this is flaky
# - name: Test tensor cores AMD:LLVM
# run: DEV=AMD:LLVM python3 test/opt/test_tensor_cores.py
- name: Run Tensor Core GEMM (AMD)
run: |
DEV=AMD SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
DEV=AMD SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
- name: Test DEV=AMD
run: DEBUG=2 DEV=AMD python -m pytest -rA test/test_tiny.py
#- name: Test HIP=1
# run: DEBUG=2 HIP=1 python -m pytest -rA test/test_tiny.py
# TODO: AMD compiler bug causes this to fail
#- name: Fuzz Padded Tensor Core GEMM
# run: HSA=1 M_START=12 M_STOP=20 M_STEP=1 N_START=12 N_STOP=20 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 DEBUG=2 python3 ./extra/gemm/fuzz_matmul.py
#- name: Remove amdgpu
# run: sleep 10 && sudo rmmod amdgpu # sleep a bit to let the driver unload the prev pid.
- name: Test AM cold start time
run: time DEV=AMD AM_RESET=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Test AM warm start time
run: time DEV=AMD python3 test/test_tiny.py TestTiny.test_plus
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion ASSERT_MIN_STEP_TIME=550 DEV=AMD python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
- name: Run SDXL
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=3200 CAPTURE_PROCESS_REPLAY=0 DEV=AMD python3 examples/sdxl.py --seed 0 --noshow --timing
- name: Run LLaMA 7B
run: |
BENCHMARK_LOG=llama_nojit DEV=AMD JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama DEV=AMD JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA 7B with BEAM
run: BENCHMARK_LOG=llama_beam DEV=AMD JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 4 GPUs
# run: DEV=AMD CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 6 GPUs
# run: DEV=AMD CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA-3 8B BEAM
run: BENCHMARK_LOG=llama3_beam DEV=AMD JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run LLaMA-3 8B on 4 GPUs with BEAM
run: BENCHMARK_LOG=llama3_beam_4gpu DEV=AMD JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
# - name: Run LLaMA-3 8B on 6 GPUs
# run: DEV=AMD CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
#- name: Restore amdgpu
# run: sudo modprobe amdgpu
# - name: Run LLaMA-2 70B
# run: DEV=AMD CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run Mixtral 8x7B
run: time BENCHMARK_LOG=mixtral DEV=AMD python3 examples/mixtral.py --temperature 0 --count 10 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit DEV=AMD JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 DEV=AMD JIT=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half DEV=AMD HALF=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam DEV=AMD HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run process replay tests
uses: ./.github/actions/process-replay
testmoreamdbenchmark:
name: tinybox red Training Benchmark
runs-on: [self-hosted, Linux, tinybox]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Test GPU crash recovery
run: DEV=AMD python3 -m pytest -rA test/external/external_test_gpu_crash.py
- name: Train MNIST
run: time PYTHONPATH=. DEV=AMD TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=200 DEV=AMD STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=230 DEV=AMD STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w BF16
# run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=288 DEV=AMD STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# TODO: too slow
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=66 DEV=AMD WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar DEV=AMD DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run full CIFAR training steps w 6 GPUS
run: time BENCHMARK_LOG=cifar_6gpu DEV=AMD DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
# TODO: broken on some of the machines
#- name: Test full tinyfs load
# run: TINYFS_ENDPOINT=10.0.52.11:6767 PYTHONPATH=. python extra/tinyfs/fetch_file.py --hash d734f5e3be9f1e9d863bfaa4fc6c1ef2 --len 175866113 --dest mapping.json --check
- name: Run process replay tests
uses: ./.github/actions/process-replay
testmlperfamdbenchmark:
name: tinybox red MLPerf Benchmark
runs-on: [self-hosted, Linux, tinybox]
timeout-minutes: 60
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Run MLPerf resnet eval
run: time BENCHMARK_LOG=resnet_eval DEV=AMD MODEL=resnet python3 examples/mlperf/model_eval.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps DEV=AMD DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf ResNet50 training steps (6 gpu)
run: BENCHMARK_LOG=resnet_10steps_6gpu DEV=AMD CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (6 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps_6gpu DEV=AMD CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
testqualcommbenchmark:
name: comma Benchmark
runs-on: [self-hosted, Linux, comma]
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: openpilot compile3 0.11.0 driving_vision
run: BENCHMARK_LOG=openpilot_0_11_0_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.11.0 driving_vision (from pickle)
run: BENCHMARK_LOG=openpilot_0_11_0_vision_run_pickle RUN_PICKLE=1 PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM taskset -c 4-7 python3 examples/openpilot/compile3.py
- name: IR3 openpilot compile3 0.11.0 driving_vision
run: BENCHMARK_LOG=ir3_openpilot_0_11_0_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM:IR3 FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.11.0 driving_policy
run: BENCHMARK_LOG=openpilot_0_11_0_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3.2 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.11.0 dmonitoring
run: BENCHMARK_LOG=openpilot_0_11_0_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.11.0/selfdrive/modeld/models/dmonitoring_model.onnx
- name: DEBUG=2 openpilot compile3 0.10.1 driving_vision
run: PYTHONPATH="." DEBUG=2 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.10.1 driving_vision
run: BENCHMARK_LOG=openpilot_0_10_1_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.10.1 driving_policy
run: BENCHMARK_LOG=openpilot_0_10_1_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3.2 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.10.1 dmonitoring
run: BENCHMARK_LOG=openpilot_0_10_1_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/dmonitoring_model.onnx
- name: benchmark MobileNetV2 on DSP
run: |
# generate quantized weights
ln -s /data/home/tiny/tinygrad/extra/datasets/imagenet extra/datasets/imagenet
ln -s /data/home/tiny/tinygrad/testsig-*.so .
PYTHONPATH=. CC=clang-19 DEV=CPU QUANT=1 CNT=0 python3 examples/test_onnx_imagenet.py https://github.com/xamcat/mobcat-samples/raw/refs/heads/master/onnx_runtime/InferencingSample/InferencingSample/mobilenetv2-7.onnx /tmp/model.quant.onnx
# benchmark on DSP with NOOPT=1, the devectorizer has issues
PYTHONPATH=. CC=clang-19 DEV=DSP NOOPT=1 CNT=2 DEBUG=2 python3 examples/test_onnx_imagenet.py /tmp/model.quant.onnx
- name: Run process replay tests
uses: ./.github/actions/process-replay
testcommausbgpubenchmark:
name: UsbGPU Benchmark (comma)
runs-on: [self-hosted, Linux, comma4]
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: openpilot compile3 0.10.1 driving_vision
run: BENCHMARK_LOG=usbgpu_openpilot_0_10_1_vision PYTHONPATH="." GMMU=0 DEV=USB+AMD:LLVM ASSERT_MIN_STEP_TIME=50 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot load_pickle 0.10.1 driving_vision
run: BENCHMARK_LOG=usbgpu_openpilot_0_10_1_vision_load_pickle PYTHONPATH="." GMMU=0 DEV=USB+AMD ASSERT_MIN_LOAD_TIME=15 python3 examples/openpilot/load_pickle.py
- name: openpilot run_pickle 0.10.1 driving_vision
run: BENCHMARK_LOG=usbgpu_openpilot_0_10_1_vision_run_pickle RUN_PICKLE=1 PYTHONPATH="." GMMU=0 DEV=USB+AMD ASSERT_MIN_STEP_TIME=50 python3 examples/openpilot/compile3.py
testreddriverbenchmark:
name: AM Benchmark
runs-on: [self-hosted, Linux, tinyboxrandom]
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Test driver cold start time
run: time DEBUG=3 DEV=AMD AM_RESET=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Test driver warm start time
run: time DEBUG=3 DEV=AMD python3 test/test_tiny.py TestTiny.test_plus
- name: Test GPU crash recovery
run: DEV=AMD python3 -m pytest -rA test/external/external_test_gpu_crash.py
# Fails on 9070
# - name: Test tensor cores
# run: |
# DEV=AMD python3 test/test_linearizer.py test/opt/test_tensor_cores.py
# DEV=AMD:LLVM python3 test/test_linearizer.py test/opt/test_tensor_cores.py
# DEV=AMD SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (AMD)
run: DEV=AMD SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
- name: Test DEV=AMD
run: DEBUG=2 DEV=AMD python -m pytest -rA test/test_tiny.py
- name: Test DISK copy time
run: DEV=AMD TESTFILE=/raid/downloads/llama3-8b-sfr/model-00001-of-00004.safetensors python3 test/external/external_benchmark_disk_raw.py
- name: Test CPU copy time
run: |
DEV=AMD GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit
DEV=AMD GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar DEV=AMD DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
# - name: Run 10 MLPerf ResNet50 training steps (1 gpu)
# run: BENCHMARK_LOG=resnet_10steps DEV=AMD MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (1 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps DEV=AMD CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Remote
run: |
pkill -f 'extra/remote/serve.py' || true
PYTHONPATH=. python3 extra/remote/serve.py 6482 &
sleep 1
DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6482 AM_RESET=1 DEV=PCI+AMD python3 test/test_tiny.py
DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6482 AM_RESET=1 DEV=PCI+AMD AMD_AQL=1 python3 test/test_tiny.py
pkill -f 'extra/remote/serve.py' || true
- name: Run process replay tests
uses: ./.github/actions/process-replay
testgreendriverbenchmark:
name: NV Benchmark
runs-on: [self-hosted, Linux, tinyboxrandom]
timeout-minutes: 20
defaults:
run:
shell: bash -e -o pipefail {0}
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove nv modules
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py nv rmmod
- name: Kill stale pids
run: PYTHONPATH=. ./extra/hcq/hcq_smi.py nv kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
ln -s ~/tinygrad/weights/bpe_simple_vocab_16e6.txt.gz weights/bpe_simple_vocab_16e6.txt.gz
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
ln -s /raid/weights/mixtral-8x7b-32kseqlen weights/mixtral-8x7b-32kseqlen
ln -s /raid/weights/LLaMA-2 weights/LLaMA-2
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: setup staging db
if: github.ref == 'refs/heads/update_benchmark_staging'
run: |
echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV
rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Test driver start time
run: time DEBUG=3 DEV=NV python3 test/test_tiny.py TestTiny.test_plus
- name: Test tensor cores
run: DEV=NV ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
- name: Test DISK copy time
run: DEV=NV TESTFILE=/raid/downloads/llama3-8b-sfr/model-00001-of-00004.safetensors python3 test/external/external_benchmark_disk_raw.py
- name: Test CPU copy time
run: |
DEV=NV GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit
DEV=NV GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit
- name: Test LLAMA-3
run: BENCHMARK_LOG=llama3_beam DEV=NV JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --benchmark --temperature 0
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar DEV=NV DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps DEV=NV MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (1 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps DEV=NV CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Remote
run: |
pkill -f 'extra/remote/serve.py' || true
PYTHONPATH=. python3 extra/remote/serve.py 6483 &
sleep 1
DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6483 DEV=NV python3 test/test_tiny.py
pkill -f 'extra/remote/serve.py' || true
- name: Run process replay tests
uses: ./.github/actions/process-replay
llvmspeed:
name: LLVM Speed
runs-on: [self-hosted, Linux, tinyboxrandom]
timeout-minutes: 20
if: github.repository_owner == 'tinygrad'
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Speed Test
run: DEV=CPU:LLVM THREADS=0 python3 test/speed/external_test_speed_v_torch.py
- name: Speed Test (BEAM=2)
run: BEAM=2 DEV=CPU:LLVM THREADS=0 python3 test/speed/external_test_speed_v_torch.py

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name: Benchmark with kernel search
on:
push:
branches:
- update_benchmark_search
workflow_dispatch:
jobs:
run_script_job:
runs-on: [self-hosted, Linux, tinybox]
if: github.repository_owner == 'tinygrad'
timeout-minutes: 100
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Remove amdgpu
run: sudo rmmod amdgpu || true
- name: Cleanup running AM processes
run: python extra/amdpci/am_smi.py --pids --kill
- name: Run SDXL with new search
# TODO: GCVM_L2_PROTECTION_FAULT_STATUS with llvm19
run: |
BENCHMARK_LOG=search_sdxl PYTHONPATH=. DEV=AMD JITBEAM=2 IGNORE_BEAM_CACHE=1 CCACHE=0 python examples/sdxl.py --noshow --timing --seed 0
- name: Run SDXL with cached search
run: |
BENCHMARK_LOG=search_sdxl_cached PYTHONPATH=. DEV=AMD JITBEAM=2 python examples/sdxl.py --noshow --timing --seed 0
- name: Run winograd cifar with new search
run: |
BENCHMARK_LOG=search_wino_cifar WINO=1 DEFAULT_FLOAT=HALF JITBEAM=4 IGNORE_BEAM_CACHE=1 CCACHE=0 BS=1024 STEPS=500 python examples/hlb_cifar10.py
- name: Run winograd cifar with cached search
run: |
BENCHMARK_LOG=search_wino_cifar_cached WINO=1 DEFAULT_FLOAT=HALF JITBEAM=4 BS=1024 STEPS=500 python examples/hlb_cifar10.py

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name: Deploy Docs
on:
push:
branches:
- master
- mkdocs
permissions:
contents: write
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Configure Git Credentials
run: |
git config user.name github-actions[bot]
git config user.email 41898282+github-actions[bot]@users.noreply.github.com
- uses: actions/setup-python@v6
with:
python-version: 3.x
- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
- uses: actions/cache@v5
with:
key: mkdocs-material-${{ env.cache_id }}
path: .cache
restore-keys: |
mkdocs-material-
- run: pip install -e .[docs]
- run: mkdocs build --strict
- run: mkdocs gh-deploy --force

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name: Run MLPerf Training
on:
schedule:
- cron: '5 8 * * *' # Runs at 08:05 UTC (12:05 AM Pacific Time)
push:
branches:
- update_mlperf
workflow_dispatch:
jobs:
run_script_job:
runs-on: [self-hosted, Linux, tinybox]
if: github.repository_owner == 'tinygrad'
timeout-minutes: 720
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Cleanup running AM processes
run: python extra/amdpci/am_smi.py --pids --kill
- name: Symlink datasets
run: |
mkdir -p extra/datasets
ln -s /raid/datasets/imagenet extra/datasets/imagenet
- name: Run resnet
run: |
rm "~/.cache/tinygrad/cache_mlperf.db" || true
BENCHMARK_LOG=mlpert_train_resnet LOGMLPERF=0 CACHEDB="~/.cache/tinygrad/cache_mlperf.db" examples/mlperf/training_submission_v5.1/tinycorp/benchmarks/resnet/implementations/tinybox_red/run_and_time.sh
rm "~/.cache/tinygrad/cache_mlperf.db"

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# This workflows will upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: Upload Python Package
on:
release:
types: [published]
workflow_dispatch:
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install setuptools wheel build twine
- name: Build and publish
env:
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
run: |
python -m build
twine upload dist/*

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name: Check Line Counts
on:
pull_request_target:
# Cancel the workflow in progress in newer build is about to start.
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
checkbranch:
name: Check PR Branch status
runs-on: ubuntu-latest
outputs:
branchstat: ${{ steps.brstat.outputs.stat}}
steps:
- name: Check code from PR branch
uses: actions/checkout@v6
with:
repository: ${{ github.event.pull_request.head.repo.full_name }}
ref: ${{ github.event.pull_request.head.sha }}
fetch-depth: 0
- name: Check whether branch is up-to-date
id: brstat
run: |
git remote add tinygrad https://github.com/tinygrad/tinygrad
git fetch tinygrad master
echo "${{ github.event.pull_request.head.sha }}"
git rev-list --left-right --count tinygrad/master...${{ github.event.pull_request.head.sha }} | awk '{print "Behind "$1" - Ahead "$2""}'
count=$(git rev-list --left-right --count tinygrad/master...${{ github.event.pull_request.head.sha }} | awk '{print $1}')
if [ $count -gt 0 ]
then
echo "Current branch is behind tinygrad master branch!"
echo "stat=true" >> "$GITHUB_OUTPUT"
else
echo "stat=false" >> "$GITHUB_OUTPUT"
fi
szdiff:
name: Core Library Line Difference
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
needs: checkbranch
if: needs.checkbranch.outputs.branchstat == 'false'
steps:
- name: Checkout code from PR branch
uses: actions/checkout@v6
with:
repository: ${{ github.event.pull_request.head.repo.full_name }}
ref: ${{ github.event.pull_request.head.sha }}
path: pr
# the base default to tinygrad master and cannot be other fork branch for security purpose
- name: Checkout code from tinygrad master
uses: actions/checkout@v6
with:
path: base
- name: Set up Python 3.12
uses: actions/setup-python@v6
with:
python-version: '3.12'
- name: Count Line Diff
run: |
BASE="$GITHUB_WORKSPACE/base"
PR="$GITHUB_WORKSPACE/pr"
pip install tabulate $BASE
cp "$BASE/sz.py" .
python sz.py "$BASE" "$PR" > loc_content.txt
- name: Comment Code Line Diff
continue-on-error: false
uses: marocchino/sticky-pull-request-comment@v3
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
ignore_empty: true
skip_unchanged: true
recreate: true
path: loc_content.txt
rebase:
name: Core Library Line Difference
permissions:
pull-requests: write
runs-on: ubuntu-latest
needs: checkbranch
if: needs.checkbranch.outputs.branchstat == 'true'
steps:
- name: Comment Rebase
continue-on-error: false
uses: marocchino/sticky-pull-request-comment@v3
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
skip_unchanged: true
recreate: true
message: |
This branch currently is behind tinygrad/master. The line count difference bot is disabled.

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name: Unit Tests
env:
# increment this when downloads substantially change to avoid the internet
CACHE_VERSION: '19'
CAPTURE_PROCESS_REPLAY: ${{ github.event_name == 'pull_request' && contains(github.event.pull_request.title, '[pr]') && '1' || '0' }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PYTHONPATH: ${{ github.workspace }}
CHECK_OOB: 1
on:
push:
branches:
- master
pull_request:
workflow_dispatch:
concurrency:
group: test-${{ github.event_name }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.run_id }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
docs:
name: Docs
runs-on: &linux ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
timeout-minutes: 10
env:
CHECK_OOB: 0
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
deps: docs
pydeps: "capstone torch"
- name: Build wheel and show size
run: |
pip install build
python -m build --wheel --outdir dist
ls -lh dist/*.whl
- name: Use as an external package
run: |
mkdir $HOME/test_external_dir
cd $HOME/test_external_dir
python -m venv venv
source venv/bin/activate
pip install $GITHUB_WORKSPACE
python -c "from tinygrad.tensor import Tensor; print(Tensor([1,2,3,4,5]))"
pip install mypy
mypy -c "from tinygrad.tensor import Tensor; print(Tensor([1,2,3,4,5]))"
- name: Run beautiful_mnist with tinygrad only
run: |
mkdir $GITHUB_WORKSPACE/test_dir
cd $GITHUB_WORKSPACE/test_dir
python -m venv venv
source venv/bin/activate
pip install $GITHUB_WORKSPACE
cp $GITHUB_WORKSPACE/examples/beautiful_mnist.py .
BS=2 STEPS=10 MAX_BUFFER_SIZE=0 python beautiful_mnist.py
- name: Test Docs Build
run: python -m mkdocs build --strict
- name: Test Docs
run: python docs/abstractions3.py
- name: Test README
run: awk '/```python/{flag=1;next}/```/{flag=0}flag' README.md > README.py && python README.py
- name: Test Quickstart
run: awk '/```python/{flag=1;next}/```/{flag=0}flag' docs/quickstart.md > quickstart.py && python quickstart.py
- name: Test DEBUG
run: DEBUG=100 python3 -c "from tinygrad import Tensor; N = 1024; a, b = Tensor.rand(N, N), Tensor.rand(N, N); c = (a.reshape(N, 1, N) * b.T.reshape(1, N, N)).sum(axis=2); print((c.numpy() - (a.numpy() @ b.numpy())).mean())"
- name: Compile EfficientNet to C and test it
run: |
DEV=CPU python examples/compile_efficientnet.py > recognize.c
clang -O2 recognize.c -lm -o recognize
cat test/models/efficientnet/Chicken.jpg | ./recognize | grep cock
torchbackend:
name: Torch Backend Tests
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: torch-backend-pillow-torchvision-et-pt
deps: testing_unit
pydeps: "pillow torchvision expecttest"
llvm: 'true'
- name: Install ninja
run: |
sudo apt update || true
sudo apt install -y --no-install-recommends ninja-build
- name: Test one op
run: FORWARD_ONLY=1 TINY_BACKEND=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Test ResNet-18
run: DEBUG=2 python3 extra/torch_backend/example.py
- name: custom tests
run: python3 -m pytest -n auto extra/torch_backend/test.py --durations=20
- name: Test one op in torch tests
run: DEBUG=2 python3 extra/torch_backend/torch_tests.py TestTinyBackendPRIVATEUSE1.test_unary_log_tiny_float32
- name: Test Ops with TINY_BACKEND
run: DEV=CPU:LLVM LLVMOPT=0 TINY_BACKEND=1 python3 -m pytest -n auto test/backend/test_ops.py --durations=20
- name: Test in-place operations on views
run: TORCH_DEBUG=1 python3 extra/torch_backend/test_inplace.py
- name: Test multi-gpu
run: DEV=CPU:LLVM GPUS=4 TORCH_DEBUG=1 python3 extra/torch_backend/test_multigpu.py
- name: Test kernel fusion
run: python3 extra/torch_backend/test_kernel_fusion.py
torchbackendmore:
name: Torch Backend Tests More
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: torch-backend-pillow-torchvision-et-pt
deps: testing_unit
llvm: 'true'
- name: Install ninja
run: |
sudo apt update || true
sudo apt install -y --no-install-recommends ninja-build
- name: Test beautiful_mnist in torch with TINY_BACKEND
run: STEPS=20 DEV=CPU TARGET_EVAL_ACC_PCT=90.0 MAX_BUFFER_SIZE=0 TINY_BACKEND=1 python3 examples/other_mnist/beautiful_mnist_torch.py
- name: Test some torch tests (expect failure)
run: python3 -m pytest extra/torch_backend/torch_tests.py -v --tb=no || true
bepython:
name: Python Backend
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: be-minimal
deps: testing_unit
- name: Test dtype with Python emulator
run: DEBUG=1 DEV=PYTHON python3 -m pytest -n=auto test/backend/test_dtype.py test/backend/test_dtype_alu.py
- name: Test ops with Python emulator
run: DEBUG=2 SKIP_SLOW_TEST=1 DEV=PYTHON python3 -m pytest -n=auto test/backend/test_ops.py --durations=20
- name: Test uops with Python emulator
run: DEV=PYTHON python3 -m pytest test/backend/test_uops.py --durations=20
- name: Test symbolic with Python emulator
run: DEV=PYTHON python3 test/backend/test_symbolic_ops.py
- name: test_renderer_failures with Python emulator
run: DEV=PYTHON python3 -m pytest -rA test/backend/test_renderer_failures.py::TestRendererFailures
- name: Test IMAGE support
run: |
IMAGE=1 DEV=PYTHON python3 test/backend/test_ops.py TestOps.test_gemm
IMAGE=1 DEV=PYTHON python3 test/backend/test_ops.py TestOps.test_simple_conv2d
- name: Test emulated METAL tensor cores
run: |
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::METAL python3 test/backend/test_ops.py TestOps.test_big_gemm
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::METAL python3 test/opt/test_tensor_cores.py
- name: Test emulated AMX tensor cores
run: DEBUG=2 AMX=1 FORWARD_ONLY=1 DEV=PYTHON::AMX python3 test/backend/test_ops.py TestOps.test_gemm
- name: Test emulated AMD tensor cores
run: |
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1100 N=16 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1100 N=64 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1100 N=16 HALF=1 ACC_HALF=1 ATOL=1e-3 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1100 N=64 HALF=1 ACC_HALF=1 ATOL=1e-3 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1100 python3 test/opt/test_tensor_cores.py
- name: Test emulated AMD MFMA tensor cores
run: |
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx950 N=64 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx950 python3 test/opt/test_tensor_cores.py
- name: Test emulated AMD RDNA4 tensor cores
run: |
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1201 N=16 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1201 N=64 HALF=1 ACC_HALF=0 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1201 N=16 HALF=1 ACC_HALF=1 ATOL=1e-3 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1201 N=64 HALF=1 ACC_HALF=1 ATOL=1e-3 python3 ./extra/gemm/simple_matmul.py
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::gfx1201 python3 test/opt/test_tensor_cores.py
- name: Test emulated CUDA tensor cores
run: |
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::sm_80 python3 test/backend/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 ALLOW_TF32=1 FORWARD_ONLY=1 DEV=PYTHON::sm_80 python3 test/backend/test_ops.py TestOps.test_gemm
DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::sm_75 python3 test/backend/test_ops.py TestOps.test_gemm_fp16
DEBUG=2 ALLOW_TF32=1 FORWARD_ONLY=1 DEV=PYTHON::sm_89 python3 test/opt/test_tensor_cores.py
- name: Test emulated INTEL OpenCL tensor cores
run: DEBUG=2 FORWARD_ONLY=1 DEV=PYTHON::INTEL HALF=1 N=64 python3 ./extra/gemm/simple_matmul.py
- name: Test emulated AMX tensor cores
run: DEBUG=2 AMX=1 FORWARD_ONLY=1 DEV=PYTHON::AMX python3 test/opt/test_tensor_cores.py
- name: Test device flop counts
run: |
DEBUG=2 DEV=PYTHON::METAL python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 DEV=PYTHON::gfx1100 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 DEV=PYTHON::sm_80 python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 DEV=PYTHON::INTEL python3 ./test/null/test_uops_stats.py TestUOpsStatsMatmulHalf
DEBUG=2 AMX=1 DEV=PYTHON::AMX python3 ./test/null/test_uops_stats.py TestUOpsStats.test_simple_matmul
linter:
name: Linters
runs-on: *linux
timeout-minutes: 10
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: linting-only
python-version: '3.11'
deps: linting
- name: Lint bad-indentation and trailing-whitespace with pylint
run: python -m pylint --disable=all -e W0311 -e C0303 --jobs=0 --indent-string=' ' --recursive=y .
- name: Run pre-commit linting hooks
run: SKIP=tiny,tests,example pre-commit run --all-files
- name: Lint additional files with ruff
run: |
python3 -m ruff check examples/mlperf/ --ignore E501
python3 -m ruff check extra/thunder/tiny/ --ignore E501 --ignore F841 --ignore E722
python3 -m ruff check extra/torch_backend/backend.py
- name: Run mypy with lineprecision report
run: |
python -m mypy --lineprecision-report .
grep -v autogen lineprecision.txt | awk 'NR>2 {lines+=$2; precise+=$3; imprecise+=$4; any+=$5; empty+=$6} END {t=lines-empty; printf "TOTAL: %d lines, %d precise (%.1f%%), %d imprecise (%.1f%%), %d any (%.1f%%)\n", t, precise, 100*precise/t, imprecise, 100*imprecise/t, any, 100*any/t}'
cat lineprecision.txt
- name: Run TYPED=1
run: CHECK_OOB=0 DEV=CPU TYPED=1 python test/test_tiny.py
nulltest:
name: Null Tests
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: unittest-13
pydeps: "pillow ftfy regex pre-commit"
deps: testing_unit
llvm: 'true'
amd: 'true'
- name: Run NULL backend tests
run: DEV=NULL python -m pytest -n=auto test/null/ --durations=20
- name: Run targeted tests on NULL backend
run: DEV=NULL python3 -m unittest test.backend.test_multitensor.TestMultiTensor.test_data_parallel_resnet_train_step
# TODO: too slow
# - name: Run SDXL on NULL backend
# run: DEV=NULL DEBUG=1 python3 examples/sdxl.py --seed 0 --noshow --timing --fakeweights
- name: Run Clip tests for SD MLPerf on NULL backend
run: DEV=NULL python -m pytest -n=auto test/external/mlperf_stable_diffusion/external_test_models.py::TestOpenClip --durations=20
- name: Run AMD emulated BERT training on NULL backend
run: DEV=NULL::gfx1201 NULL_ALLOW_COPYOUT=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
# TODO: support fake weights
#- name: Run LLaMA 7B on 4 fake devices
# run: DEV=NULL python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 3 --temperature 0 --timing
unittest:
name: Unit Tests
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: unittest-13
pydeps: "pillow ftfy regex pre-commit"
deps: testing_unit
llvm: 'true'
- name: Run pre-commit test hooks
run: SKIP=ruff,mypy pre-commit run --all-files
- name: Check Device.DEFAULT
run: python -c "from tinygrad import Device; assert Device.DEFAULT == 'CPU', Device.DEFAULT"
- name: Run unit tests
run: |
DEV=CPU python test/null/test_device.py TestRunAsModule.test_module_runs
DEV=CPU python -m pytest -n=auto test/unit/ --durations=20
- name: Run GC tests
run: python test/external/external_uop_gc.py
- name: External Benchmark Schedule
run: python3 test/external/external_benchmark_schedule.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
- name: Regen dataset on test_tiny
run: |
test/external/process_replay/reset.py
CAPTURE_PROCESS_REPLAY=1 python test/test_tiny.py TestTiny.test_plus
python extra/optimization/extract_dataset.py
gzip -c /tmp/sops > extra/datasets/sops.gz
#DEBUG=1 MIN_ASTS=1 python extra/optimization/get_action_space.py
- name: Repo line count < 25000 lines
run: MAX_LINE_COUNT=25000 python sz.py
spec:
strategy:
fail-fast: false
matrix:
group: [1, 2]
name: SPEC=2 (${{ matrix.group }})
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: spec-unit
deps: testing_unit
python-version: '3.14'
llvm: 'true'
- name: Test SPEC=2
run: SPEC=2 pytest --maxfail=10 -n auto --durations=30 test/unit test/backend test/opt --ignore test/backend/test_custom_kernel.py --ignore test/unit/test_hashing.py --timeout 60 -k "not test_setitem_big" -k "not test_conv2d_ceildiv_edge_case" --splits 2 --group ${{ matrix.group }}
fuzzing:
name: Fuzzing
runs-on: *linux
timeout-minutes: 10
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: fuzzing-unit
deps: testing_unit
- name: Fuzz Test symbolic
run: python test/external/fuzz_symbolic.py
- name: Fuzz Test symbolic (symbolic divisors)
run: python test/external/fuzz_symbolic_symbolic_div.py
- name: Fuzz Test fast idiv
run: python test/external/fuzz_fast_idiv.py
- name: Fuzz Test shape ops
run: python test/external/fuzz_shape_ops.py
testopenclimage:
name: CL IMAGE Tests
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: gpu-image
deps: testing_unit
opencl: 'true'
- name: Test CL IMAGE=1 ops
run: |
DEV=CL IMAGE=1 python -m pytest -n=auto test/backend/test_ops.py --durations=20
DEV=CL IMAGE=1 python test/models/test_end2end.py TestEnd2End.test_linear_mnist
- name: Run process replay tests
uses: ./.github/actions/process-replay
testgpumisc:
name: CL Misc tests
runs-on: *linux
timeout-minutes: 10
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: gen-dataset
deps: testing
opencl: 'true'
- name: Generate Dataset
run: DEV=CL extra/optimization/generate_dataset.sh
- name: Run Kernel Count Test
run: DEV=CL python -m pytest -n=auto test/external/external_test_opt.py
- name: Run fused optimizer tests
run: DEV=CL FUSE_OPTIM=1 python -m pytest -n=auto test/models/test_mnist.py test/backend/test_optim.py -k "not muon"
- name: Upload artifact
uses: actions/upload-artifact@v7
with:
name: sops.gz
path: /tmp/sops.gz
testopenpilot:
name: openpilot Compile Tests
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: openpilot-compile
deps: testing
opencl: 'true'
llvm: 'true'
- name: Test openpilot model kernel count and gate usage
run: |
ALLOWED_KERNEL_COUNT=123 ALLOWED_READ_IMAGE=1468 ALLOWED_GATED_READ_IMAGE=18 FLOAT16=1 DEV=CL IMAGE=1 python examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/cf6376aa9a090f0da26c280ef69eabf9bbdd51d1faac9ed392919c3db69be916
- name: Test openpilot CL compile fp32 (test correctness)
run: |
DEV=CL IMAGE=1 SELFTEST=1 python examples/openpilot/compile3.py https://github.com/haraschax/filedump/raw/refs/heads/master/driving_vision_fp32.onnx
DEV=CL IMAGE=1 SELFTEST=1 RUN_PICKLE=1 python examples/openpilot/compile3.py https://github.com/haraschax/filedump/raw/refs/heads/master/driving_vision_fp32.onnx
- name: Test openpilot LLVM compile fp16
run: IMAGE=1 FLOAT16=1 DEV=CPU:LLVM python examples/openpilot/compile3.py https://gitlab.com/commaai/openpilot-lfs.git/gitlab-lfs/objects/cf6376aa9a090f0da26c280ef69eabf9bbdd51d1faac9ed392919c3db69be916
- name: Run process replay tests
uses: ./.github/actions/process-replay
# ****** ONNX Tests ******
testonnxcpu:
name: ONNX (CPU) Tests
runs-on: *linux
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: onnxoptc
deps: testing
python-version: '3.12'
llvm: 'true'
- name: Test ONNX (CPU)
run: DEV=CPU python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
- name: Test ONNX (LLVM)
run: DEV=CPU:LLVM python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
- name: Test ONNX Runner (CPU)
run: DEV=CPU python3 test/external/external_test_onnx_runner.py
- name: Test Additional ONNX Ops (CPU)
run: DEV=CPU python3 test/external/external_test_onnx_ops.py
- name: Test Quantize ONNX
run: DEV=CPU python3 test/backend/test_quantize_onnx.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
testopencl:
name: ONNX (CL)+Optimization Tests
runs-on: *linux
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: onnxoptl
deps: testing
pydeps: "tensorflow==2.19"
python-version: '3.12'
opencl: 'true'
- name: Test ONNX (CL)
run: DEV=CL python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
#- name: Test Optimization Helpers
# run: DEBUG=1 python3 extra/optimization/test_helpers.py
#- name: Test Action Space
# run: DEBUG=1 DEV=CL python3 extra/optimization/get_action_space.py
- name: Test Beam Search
run: DEV=CL IGNORE_BEAM_CACHE=1 python3 -m pytest extra/optimization/test_beam_search.py
- name: Test MLPerf stuff
run: DEV=CL python -m pytest -n=auto test/external/external_test_optim.py test/external/external_test_losses.py test/external/external_test_metrics.py test/external/external_test_datasets.py --durations=20
- name: DEV=NULL beautiful_mnist_multigpu
run: DEV=NULL NULL_ALLOW_COPYOUT=1 python examples/beautiful_mnist_multigpu.py
- name: Test Bert training
run: DEV=NULL NULL_ALLOW_COPYOUT=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=24 GPUS=4 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Test llama 3 training
run: DEV=NULL NULL_ALLOW_COPYOUT=1 SAMPLES=300 BS=8 SEQLEN=512 GRADIENT_ACC_STEPS=1 FAKEDATA=1 DEFAULT_FLOAT=bfloat16 OPTIM_DTYPE=bfloat16 LLAMA3_SIZE=1B MODEL=llama3 python3 examples/mlperf/model_train.py
- name: Run process replay tests
uses: ./.github/actions/process-replay
testllm:
name: Test LLM
runs-on: *linux
timeout-minutes: 15
env:
CHECK_OOB: 0
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: apps_llm
- name: Test 1B LLM (llama)
run: echo "What's a male chicken called? Answer with only one word." | MAX_BUFFER_SIZE=0 python3 -m tinygrad.llm --model llama3.2:1b | tee /dev/stderr | grep -i rooster
- name: Test 1B LLM (llama q4)
run: echo "What's a male chicken called? Answer with only one word." | MAX_BUFFER_SIZE=0 python3 -m tinygrad.llm --model llama3.2:1b-q4 | tee /dev/stderr | grep -i rooster
- name: Test 1B LLM (qwen3.5)
run: echo "What's a male chicken called? Answer with only one word." | MAX_BUFFER_SIZE=0 python3 -m tinygrad.llm --model qwen3.5:0.8b | tee /dev/stderr | grep -i rooster
- name: Test 1B LLM (qwen)
# NOTE: qwen is dumb and only knows about female chickens
run: echo "What's a female chicken called? Answer with only one word." | MAX_BUFFER_SIZE=0 python3 -m tinygrad.llm --model qwen3:0.6b | tee /dev/stderr | grep -i hen
# ****** Models Tests ******
testmodels:
name: Models (llvm+cpu+gpu)
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: models
deps: testing
opencl: 'true'
llvm: 'true'
- name: Test models (llvm)
run: DEV=CPU:LLVM python -m pytest -n=auto test/models --durations=20
- name: Test models (opencl)
run: DEV=CL python -m pytest -n=auto test/models --durations=20
- name: Test models (cpu)
run: DEV=CPU python -m pytest -n=auto test/models --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
testmetalmodels:
name: Models (metal)
runs-on: macos-14
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: metal
deps: testing
python-version: '3.12'
- name: Test models (Metal)
run: DEV=METAL python -m pytest -n=auto test/models --durations=20
- name: Test LLaMA compile speed
run: DEV=METAL python test/external/external_test_speed_llama.py
# ****** Feature Tests ******
testdsp:
name: Linux (DSP)
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: dsp-minimal
deps: testing
llvm: "true"
qemu: "true"
- name: Set MOCKDSP env
run: printf "MOCKDSP=1" >> $GITHUB_ENV
- name: Run test_tiny on DSP
run: DEBUG=2 DEV=DSP python test/test_tiny.py
- name: Test transcendentals
run: DEBUG=2 DEV=DSP python test/backend/test_transcendental.py TestTranscendentalVectorized
- name: Test quantize onnx
run: DEBUG=2 DEV=DSP python3 test/backend/test_quantize_onnx.py
testlinux:
strategy:
fail-fast: false
matrix:
dev:
- 'CPU:CLANG'
- 'CPU:LLVM'
- 'CPU:LVP'
- 'CPU:X86'
- 'CL'
- 'WEBGPU'
name: Linux (DEV=${{ matrix.dev }})
runs-on: *linux
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: linux-${{ matrix.dev }}
deps: testing_unit
python-version: '3.12'
llvm: ${{ contains(matrix.dev, 'LLVM') || contains(matrix.dev, 'LVP') || contains(matrix.dev, 'CLANG') }}
mesa: ${{ contains(matrix.dev, 'LVP') && 'cpu' || 'false' }}
webgpu: ${{ matrix.dev == 'WEBGPU' }}
opencl: ${{ matrix.dev == 'CL' }}
- name: Set env
run: printf "DEV=${{ matrix.dev }}${{ matrix.dev == 'CPU:CLANG' && '\nCPU_COUNT=2' || '' }}" >> $GITHUB_ENV
- name: Check Device.DEFAULT and print some source
run: |
python -c "from tinygrad import Device; from tinygrad.helpers import Target; assert Device.DEFAULT == Target.parse('${{ matrix.dev }}').device"
DEBUG=4 python test/test_tiny.py TestTiny.test_plus
- name: Run backend tests
run: python -m pytest -n=auto test/backend --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
testamdasm:
name: AMD ASM IDE
runs-on: *linux
timeout-minutes: 20
env:
DEV: MOCKKFD+AMD
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: rdna3-emu
deps: testing_unit
amd: 'true'
python-version: '3.14'
- name: Verify AMD autogen is up to date
run: |
python -m tinygrad.renderer.amd.generate
git diff --exit-code tinygrad/runtime/autogen/amd/
- name: Install LLVM 21
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc
echo "deb http://apt.llvm.org/$(lsb_release -cs)/ llvm-toolchain-$(lsb_release -cs)-21 main" | sudo tee /etc/apt/sources.list.d/llvm.list
sudo apt-get update
sudo apt-get install llvm-21 llvm-21-tools cloc
- name: Install rocprof-trace-decoder
run: sudo PYTHONPATH="." ./extra/sqtt/install_rocprof_decoder.py
- name: Run AMD renderer tests
run: python -m pytest -n=auto test/amd/ --durations 20
- name: Run AMD renderer tests (AMD:LLVM)
run: DEV=MOCKKFD+AMD:LLVM python -m pytest -n=auto test/amd/ --durations 20
- name: Run SQTT profiling tests
run: PROFILE=1 SQTT=1 python3 -m pytest -n=auto test/amd/test_sqtt_profiler.py
- name: Run AMD emulated tests on NULL backend
env:
AMD: 0
run: |
PYTHONPATH=. DEV=NULL:HIP:gfx1100 python extra/mmapeak/mmapeak.py
PYTHONPATH=. DEV=NULL:HIP:gfx950 python3 -m pytest -n=auto test/testextra/test_tk.py test/backend/test_asm_gemm.py
- name: Run matmul on MOCKKFD
run: |
PYTHONPATH="." DEV=MOCKKFD+AMD N=256 python3 extra/gemm/amd_asm_matmul.py
PYTHONPATH="." DEV=MOCKKFD+AMD N=256 python3 extra/gemm/amd_copy_matmul.py
- name: Run LLVM test
run: DEV=MOCKKFD+AMD:LLVM python test/device/test_amd_llvm.py
testmockam:
name: Linux (am)
runs-on: *linux
timeout-minutes: 15
env:
DEV: MOCKPCI+AMD
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: mockam
deps: testing_unit
amd: 'true'
- name: Run test_tiny on MOCKAM
run: python test/test_tiny.py
- name: Run test_tiny on MOCKUSB
run: GMMU=0 DEV=MOCKUSB+AMD python test/test_tiny.py
- name: Run test_hcq on MOCKPCI
run: python -m pytest test/device/test_hcq.py
- name: Run disk copy tests on MOCKPCI
run: python -m pytest test/unit/test_disk_tensor.py -k test_copy_from_disk
- name: Run test_tiny on MOCKPCI Remote
run: |
python extra/remote/serve.py 6667 &
sleep 2
REMOTE=127.0.0.1:6667 python test/test_tiny.py
REMOTE=127.0.0.1:6667 python -m pytest test/unit/test_disk_tensor.py -k test_copy_from_disk; kill %1
testamd:
strategy:
fail-fast: false
matrix:
backend: [amd, amdllvm]
arch: [gfx1100, gfx1201, gfx950]
name: Linux (${{ matrix.backend }} ${{ matrix.arch }})
runs-on: *linux
timeout-minutes: 15
env:
DEV: MOCKKFD+AMD:${{ matrix.backend == 'amdllvm' && 'LLVM' || '' }}:${{ matrix.arch }}
SKIP_SLOW_TEST: 1
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: ${{ matrix.backend }}-minimal
deps: testing_unit
amd: 'true'
llvm: ${{ matrix.backend == 'amdllvm' && 'true' }}
- name: Check Device.DEFAULT and print some source
run: |
python3 -c "from tinygrad import Device; assert Device.DEFAULT in ['AMD'], Device.DEFAULT"
DEBUG=5 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Run pytest (amd)
run: python -m pytest -n=auto test/backend/test_ops.py test/backend/test_dtype.py test/backend/test_dtype_alu.py test/backend/test_linearizer.py test/backend/test_randomness.py test/backend/test_jit.py test/backend/test_graph.py test/backend/test_multitensor.py test/device/test_hcq.py test/external/external_test_am.py test/backend/test_asm_gemm.py::TestAsmGEMM --durations=20
- name: Run disk copy tests
run: python -m pytest test/unit/test_disk_tensor.py -k test_copy_from_disk
- name: Run TRANSCENDENTAL math
run: TRANSCENDENTAL=2 python -m pytest -n=auto test/backend/test_ops.py::TestOps::test_sin test/backend/test_ops.py::TestOps::test_cos test/backend/test_ops.py::TestOps::test_tan test/backend/test_ops.py::TestOps::test_exp test/backend/test_ops.py::TestOps::test_log --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
testnvidia:
strategy:
fail-fast: false
matrix:
backend: [ptx, nv]
name: Linux (${{ matrix.backend }})
runs-on: *linux
timeout-minutes: 20
env:
FORWARD_ONLY: 1
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: ${{ matrix.backend }}-minimal
deps: testing_unit
cuda: 'true'
ocelot: 'true'
- name: Set env
run: printf "${{ matrix.backend == 'ptx' && 'DEV=MOCK+CUDA:PTX' || matrix.backend == 'nv' && 'DEV=MOCK+NV\nSKIP_SLOW_TEST=1' }}" >> $GITHUB_ENV
- name: Check Device.DEFAULT and print some source
run: |
python3 -c "from tinygrad import Device; assert Device.DEFAULT in ['CUDA','NV'], Device.DEFAULT"
DEBUG=5 FORWARD_ONLY=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Run pytest (cuda)
# skip multitensor because it's slow
run: python -m pytest -n=auto test/backend --ignore test/backend/test_multitensor.py --durations=20
- name: Run TestOps.test_add with PMA
run: VIZ=-1 PMA=1 DEBUG=5 python3 test/backend/test_ops.py TestOps.test_add
- name: Run process replay tests
uses: ./.github/actions/process-replay
# ****** OSX Tests ******
testmetal:
name: MacOS (unit)
runs-on: macos-14
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: metal
deps: testing
python-version: '3.12'
amd: 'true'
ocelot: 'true'
llvm: 'true'
- name: Run unit tests
run: DEV=METAL python -m pytest -n=auto test/unit/ --durations=20
- name: Run NULL backend tests
run: DEV=NULL python -m pytest -n=auto test/null/ --durations=20
- name: Run ONNX
run: DEV=METAL python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
- name: Test tensor core ops (fake)
run: DEV=METAL DEBUG=3 TC=2 python test/backend/test_ops.py TestOps.test_gemm
- name: Test tensor core ops (real)
run: DEV=METAL DEBUG=3 python test/backend/test_ops.py TestOps.test_big_gemm
- name: Test Beam Search
run: DEV=METAL IGNORE_BEAM_CACHE=1 python3 -m pytest extra/optimization/test_beam_search.py
- name: Test Device Specific
run: DEV=METAL python3 -m pytest test/device/test_metal.py
#- name: Fuzz Test linearizer
# run: DEV=METAL DEPTH=4 FUZZ_N=50 FUZZ_MAX_SIZE=1000000 python test/external/fuzz_linearizer.py
- name: Run TRANSCENDENTAL math
run: DEV=METAL TRANSCENDENTAL=2 python -m pytest -n=auto test/backend/test_ops.py::TestOps::test_sin test/backend/test_ops.py::TestOps::test_cos test/backend/test_ops.py::TestOps::test_tan test/backend/test_ops.py::TestOps::test_exp test/backend/test_ops.py::TestOps::test_log --durations=20
- name: Run pytest (amd)
env:
DEV: MOCKKFD+AMD
FORWARD_ONLY: 1
run: |
python3 -m pytest -n=auto test/device/test_hcq.py test/test_tiny.py --durations=20
- name: Run pytest (amd with llvm backend)
env:
DEV: "MOCKKFD+AMD:LLVM"
FORWARD_ONLY: 1
run: |
python -m pytest -n=auto test/device/test_hcq.py test/test_tiny.py test/device/test_amd_llvm.py --durations=20
- name: Run pytest (ptx)
env:
DEV: "MOCK+NV:PTX"
FORWARD_ONLY: 1
# TODO: failing due to library loading error
CAPTURE_PROCESS_REPLAY: 0
run: |
python3 -m pytest -n=auto test/device/test_hcq.py test/test_tiny.py --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
testmacos:
strategy:
fail-fast: false
matrix:
dev:
- 'CPU:CLANG'
- 'CPU:LLVM'
- 'CPU:LVP'
- 'METAL'
- 'WEBGPU'
name: MacOS (DEV=${{ matrix.dev }})
runs-on: macos-15
timeout-minutes: 20
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: macos-${{ matrix.dev }}
deps: testing_unit
python-version: '3.12'
llvm: ${{ contains(matrix.dev, 'LLVM') || contains(matrix.dev, 'LVP') }}
mesa: ${{ contains(matrix.dev, 'LVP') && 'cpu' || 'false' }}
webgpu: ${{ matrix.dev == 'WEBGPU' }}
- name: Set env
run: printf "DEV=${{ matrix.dev }}${{ matrix.dev == 'CPU:CLANG' && '\nCPU_COUNT=2' || '' }}" >> $GITHUB_ENV
- name: Check Device.DEFAULT and print some source
run: |
python -c "from tinygrad import Device; from tinygrad.helpers import Target; assert Device.DEFAULT == Target.parse('${{ matrix.dev }}').device"
DEBUG=4 python test/test_tiny.py TestTiny.test_plus
- name: Run backend tests
run: python -m pytest -n=auto test/backend --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
# ****** Windows Tests ******
testwindows:
strategy:
fail-fast: false
matrix:
dev:
- 'CPU:CLANG'
- 'CPU:LLVM'
- 'CPU:X86'
- 'WEBGPU'
name: Windows (DEV=${{ matrix.dev }})
runs-on: windows-latest
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: windows-${{ matrix.dev }}-minimal
deps: testing_unit
pydeps: ${{ matrix.dev == 'WEBGPU' && 'dawn-python' || '' }}
- name: Set env
shell: bash
run: printf "DEV=${{ matrix.dev }}${{ matrix.dev == 'CPU:CLANG' && '\nCPU_COUNT=2' || '' }}" >> $GITHUB_ENV
- name: Check Device.DEFAULT and print some source
shell: bash
run: |
python -c "from tinygrad import Device; from tinygrad.helpers import Target; assert Device.DEFAULT == Target.parse('${{ matrix.dev }}').device"
DEBUG=4 python test/test_tiny.py TestTiny.test_plus
- name: Run test_tiny
shell: bash
run: python -m pytest -n=auto test/test_tiny.py --durations=20
# ****** Compile-only Tests ******
compiletests:
strategy:
fail-fast: false
matrix:
backend: [ir3, nak]
name: Compile-only (${{ matrix.backend }})
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: compile-${{ matrix.backend }}
deps: testing_unit
mesa: ${{ (matrix.backend == 'ir3' || matrix.backend == 'nak') && 'true' }}
python-version: '3.12'
- name: Set env
shell: bash
run: printf "NULL_ALLOW_COPYOUT=1\n${{ matrix.backend == 'ir3' && 'DEV=NULL:IR3:a630' || matrix.backend == 'nak' && 'DEV=NULL:NAK:sm_120' }}" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
- name: Run test_ops (IMAGE)
if: matrix.backend == 'ir3'
shell: bash
env:
IMAGE: 1
DEV: "NULL:IR3:a630,IMAGE_PITCH_ALIGNMENT=64"
run: |
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_gemm | grep image_load
python -m pytest -n=auto test/backend/test_ops.py --durations=20
qcomclcompiletests:
name: Compile-only (QCOM CL)
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'MEMBER' && 'namespace-profile-tinygrad-arm64' || 'ubuntu-24.04-arm' }}
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: compile-qcomcl
deps: testing_unit
tinydreno: 'true'
python-version: '3.12'
- name: Set env
shell: bash
run: printf "DEV=NULL:QCOMCL:a630\nNULL_ALLOW_COPYOUT=1" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
- name: Run test_ops (IMAGE)
shell: bash
env:
IMAGE: 1
DEV: "NULL:QCOMCL:a630,IMAGE_PITCH_ALIGNMENT=64"
run: |
DEBUG=4 python test/backend/test_ops.py TestOps.test_gemm | grep read_imagef
python -m pytest -n=auto test/backend/test_ops.py --durations=20