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 # 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 llmbenchmark: name: Benchmark ${{ matrix.model }} (DEV=${{ matrix.dev }}) runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['METAL', 'AMD', 'NV'] model: ['llama3.2:3b-f16', 'qwen3.8:27b', 'olmoe'] # qwen3.8:27b doesn't fit on mac exclude: [{ dev: 'METAL', model: 'qwen3.8:27b' }, { dev: 'AMD', model: 'olmoe' }, { dev: 'NV', model: 'olmoe' }] timeout-minutes: 15 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - 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 test/external/process_replay/reset.py - name: Run ${{ matrix.model }} run: | MODEL=${{ matrix.model }} BENCHMARK_LOG=${MODEL//./} JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 -m tinygrad.llm -m $MODEL --benchmark --warmup - name: Run process replay tests uses: ./.github/actions/process-replay cifarbenchmark: name: HLB-CIFAR10 (DEV=${{ matrix.dev }}) runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['METAL', 'AMD', 'NV'] timeout-minutes: 10 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - 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 test/external/process_replay/reset.py - name: Run 10 CIFAR training steps env: ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'NV' && '130' || matrix.dev == 'AMD' && '200' || '3000' }} run: BENCHMARK_LOG=cifar_10steps STEPS=10 python3 examples/hlb_cifar10.py - name: Run 10 CIFAR training steps w HALF env: ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'NV' && '120' || matrix.dev == 'AMD' && '235' || '3000' }} run: BENCHMARK_LOG=cifar_10steps_half STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py - name: Run full CIFAR training w 1 GPU # slow on metal if: ${{ matrix.dev != 'METAL' }} run: time BENCHMARK_LOG=cifar DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py - name: Run process replay tests uses: ./.github/actions/process-replay mlperfbenchmark: name: MLPerf (${{ matrix.dev }}) runs-on: [self-hosted, Linux, "${{ matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['AMD', 'NV'] timeout-minutes: 5 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - name: Symlink models and datasets run: | 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" >> $GITHUB_ENV rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal - name: reset process replay run: test/external/process_replay/reset.py - name: Run 10 MLPerf ResNet50 training steps (1 gpu) run: BENCHMARK_LOG=resnet_10steps DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py - name: Run process replay tests uses: ./.github/actions/process-replay sdbenchmark: name: Stable Diffusion (DEV=${{ matrix.dev }}) runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['METAL', 'AMD', 'NV'] timeout-minutes: 15 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - 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 test/external/process_replay/reset.py - name: Run Stable Diffusion env: ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'METAL' && '720' || matrix.dev == 'AMD' && '550' || '0' }} run: BENCHMARK_LOG=stable_diffusion python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing - name: Run SDXL if: ${{ matrix.dev != 'NV' }} env: ASSERT_MIN_STEP_TIME: ${{ matrix.dev == 'METAL' && '5000' || matrix.dev == 'AMD' && '3200' || '2000' }} run: BENCHMARK_LOG=stable_diffusion_xl CAPTURE_PROCESS_REPLAY=0 python3 examples/sdxl.py --seed 0 --noshow --timing - name: Run process replay tests uses: ./.github/actions/process-replay multigpubenchmark: name: Multi-GPU Benchmarks (DEV=${{ matrix.dev }}) runs-on: [self-hosted, "${{ matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['AMD', 'NV'] timeout-minutes: 20 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - name: Symlink models and datasets run: | mkdir -p weights mkdir -p extra/datasets ln -s /raid/weights/LLaMA-3 weights/LLaMA-3 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" >> $GITHUB_ENV rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal - name: reset process replay run: python3 test/external/process_replay/reset.py - name: Run LLaMA-3 8B on 4 GPUs with BEAM run: BENCHMARK_LOG=llama3_beam_4gpu JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 - name: Run full CIFAR training steps w 6 GPUS run: time BENCHMARK_LOG=cifar_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py - name: Run MLPerf resnet eval on training data run: time BENCHMARK_LOG=resnet_eval MODEL=resnet python3 examples/mlperf/model_eval.py - name: Run 10 MLPerf ResNet50 training steps (6 gpu) run: BENCHMARK_LOG=resnet_10steps_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py - name: Run 10 MLPerf Bert training steps (6 gpu) # TODO: remove BERT_LAYERS once scheduler is fast run: BENCHMARK_LOG=bert_10steps_6gpu CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py - name: Run process replay tests uses: ./.github/actions/process-replay tests: name: Tests (DEV=${{ matrix.dev }}) runs-on: [self-hosted, "${{ matrix.dev == 'METAL' && 'macOS' || matrix.dev == 'AMD' && 'tinybox' || 'tinyboxgreen' }}"] strategy: fail-fast: false matrix: dev: ['METAL', 'AMD', 'NV'] timeout-minutes: 11 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Setup (AMD) if: ${{ matrix.dev == 'AMD' }} run: | ./extra/hcq/hcq_smi.py amd rmmod --expect ./extra/hcq/hcq_smi.py amd kill_pids --sudoless - name: Setup (NV) if: ${{ matrix.dev == 'NV' }} run: ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - name: setup staging db if: github.ref == 'refs/heads/update_benchmark_staging' run: | echo "CACHEDB=/tmp/staging.db" >> $GITHUB_ENV rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal - name: reset process replay run: python3 test/external/process_replay/reset.py - name: Test tiny run: | DEBUG=2 python -m pytest -rA test/test_tiny.py if [[ "${{ matrix.dev }}" == "NV" ]]; then DEBUG=2 DEV=CUDA python -m pytest -rA test/test_tiny.py fi - name: Test tensor cores run: | if [[ "${{ matrix.dev }}" == "METAL" ]]; then python3 test/runtime/test_tensor_cores.py DEBUG=2 SHOULD_USE_TC=1 python3 extra/gemm/simple_matmul.py DEBUG=2 SHOULD_USE_TC=1 HALF=1 python3 extra/gemm/simple_matmul.py DEBUG=2 SHOULD_USE_TC=1 BFLOAT16=1 python3 extra/gemm/simple_matmul.py M_START=6 M_STOP=10 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=6 K_STOP=24 K_STEP=1 TC_OPT=2 DEBUG=2 python3 ./extra/gemm/fuzz_matmul.py elif [[ "${{ matrix.dev }}" == "NV" ]]; then ALLOW_TF32=1 python3 test/runtime/test_tensor_cores.py DEV=NV:PTX ALLOW_TF32=1 python3 test/runtime/test_tensor_cores.py 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 DEV=NV:PTX SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py # TODO: too slow # 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 # 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 else python3 test/runtime/test_tensor_cores.py # TODO: this is flaky # DEV=AMD:LLVM python3 test/runtime/test_tensor_cores.py SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py # TODO: AMD compiler bug causes this to fail # 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 fi - name: Run model inference benchmark # TODO: unstable on AMD if: ${{ matrix.dev != 'AMD' }} run: CAPTURE_PROCESS_REPLAY=0 NOCLANG=1 python3 test/external/external_model_benchmark.py - name: Test speed vs torch # TODO: unstable on AMD if: ${{ matrix.dev != 'AMD' }} env: HALF: ${{ matrix.dev == 'NV' && '1' || '0' }} run: CAPTURE_PROCESS_REPLAY=0 BIG=2 ${{ matrix.dev == 'METAL' && 'MPS=1' || 'TORCHCUDA=1' }} python3 test/speed/external_test_speed_v_torch.py - name: Test speed vs theoretical # no targets for METAL if: ${{ matrix.dev != 'METAL' }} run: IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20 - name: Train MNIST run: time TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py - name: Test benchmark allreduce if: ${{ matrix.dev == 'NV' }} run: python test/external/external_benchmark_multitensor_allreduce.py # TODO: HEVC decode timing test # - name: HEVC Decode Benchmark # if: ${{ matrix.dev == 'NV' }} # run: IGNORE_BEAM_CACHE=1 VALIDATE=1 MAX_FRAMES=100 ASSERT_FPS=1400 JITBEAM=1 PYTHONPATH=. python3 extra/hevc/decode.py - uses: actions/upload-artifact@v7 if: ${{ matrix.dev != 'AMD' }} with: name: Speed (${{ matrix.dev }}) 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: 3 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: | ./extra/hcq/hcq_smi.py amd kill_pids --sudoless ./extra/hcq/hcq_smi.py nv kill_pids --sudoless - name: reset chestnut run: python3 extra/usbgpu/debug.py -rnw - name: UsbGPU boot time run: 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: GMMU=0 DEV=USB+AMD python3.11 test/test_tiny.py - name: UsbGPU copy speeds run: SIZE=64000000 PYTHONPATH=. GMMU=0 DEV=USB+AMD python3.11 test/external/external_test_usb_asm24.py testcomma: strategy: matrix: dev: ['QCOM', 'QCOM:IR3'] model: [driving_supercombo, dmonitoring_model] include: - model: driving_supercombo timing: 20 - model: dmonitoring_model timing: 12 fail-fast: false name: openpilot ${{ matrix.model }} (DEV=${{ matrix.dev }}) runs-on: [self-hosted, Linux, comma4] timeout-minutes: 5 defaults: run: shell: bash -e -o pipefail {0} if: github.repository_owner == 'tinygrad' env: DEV: ${{ matrix.dev }} # sha for https://huggingface.co/commaai/openpilot-lfs LFS_SHA: "51b12d20a25b76fa8a5717c2e5af01f148e469e2" BENCHMARK_LOG: ${{ matrix.dev == 'QCOM:IR3' && 'ir3_' || '' }}openpilot_${{ matrix.model }} ASSERT_MIN_STEP_TIME: ${{ matrix.timing }} 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" >> $GITHUB_ENV rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal - name: reset process replay run: test/external/process_replay/reset.py - name: compile run: FLOAT16=1 IMAGE=1 taskset -c 4-7 python3 examples/openpilot/compile_onnx.py "https://huggingface.co/commaai/openpilot-lfs/resolve/$LFS_SHA/openpilot/selfdrive/modeld/models/${{ matrix.model }}.onnx" openpilot.pkl - name: run pickle run: BENCHMARK_LOG="${BENCHMARK_LOG}_run_pickle" taskset -c 4-7 python3 examples/openpilot/load_pickle.py --run openpilot.pkl - name: Compile driving warp run: | taskset -c 4-7 python examples/openpilot/compile_warp.py --output warp.pkl --benchmark-runs 1 \ --frame "1928,1208,2048,1216,608,${{ matrix.model == 'driving_supercombo' && '3735552' || '4804608' }}" \ --warp-to ${{ matrix.model == 'driving_supercombo' && '512x256' || '1440x960' }} \ --layout ${{ matrix.model == 'driving_supercombo' && 'yuv420' || 'luma' }} \ ${{ matrix.model == 'driving_supercombo' && '--frames 2' || '--border-fill 16 --transform-device NPY' }} - name: run warp pickle run: ASSERT_MIN_STEP_TIME=0 BENCHMARK_LOG="${BENCHMARK_LOG}_warp" taskset -c 4-7 python3 examples/openpilot/load_pickle.py --run warp.pkl - name: Run process replay tests uses: ./.github/actions/process-replay testqualcommdsp: name: DSP Benchmark runs-on: [self-hosted, Linux, comma4] timeout-minutes: 5 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: benchmark MobileNetV2 on DSP run: | # generate quantized weights ln -s ~/tinygrad/extra/datasets/imagenet extra/datasets/imagenet ln -s ~/tinygrad/testsig-*.so . PYTHONPATH=. 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=. 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) env: LFS_SHA: "51b12d20a25b76fa8a5717c2e5af01f148e469e2" runs-on: [self-hosted, Linux, comma4] timeout-minutes: 14 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" >> $GITHUB_ENV rm -f /tmp/staging.db /tmp/staging.db-shm /tmp/staging.db-wal - name: openpilot compile big_driving_supercombo run: | GMMU=0 DEV=USB+AMD:LLVM taskset -c 4-7 python3 examples/openpilot/compile_onnx.py "https://huggingface.co/commaai/openpilot-lfs/resolve/$LFS_SHA/openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" openpilot.pkl --out-of-band --retargetable BENCHMARK_LOG=usbgpu_openpilot_big_driving_supercombo GMMU=0 DEV=USB+AMD:LLVM ASSERT_MIN_STEP_TIME=25 taskset -c 4-7 python3 examples/openpilot/load_pickle.py --run openpilot.pkl --out-of-band --retarget - name: openpilot load_pickle big_driving_supercombo run: BENCHMARK_LOG=usbgpu_openpilot_big_driving_supercombo_load_pickle GMMU=0 DEV=USB+AMD ASSERT_MIN_LOAD_TIME=25 taskset -c 4-7 python3 examples/openpilot/load_pickle.py openpilot.pkl --out-of-band - name: compile driving warp run: GMMU=0 DEV=USB+AMD:LLVM taskset -c 4-7 python3 examples/openpilot/compile_warp.py --frame 1928,1208,2048,1216,608,3735552 --warp-to 512x256 --layout yuv420 --frames 2 --output warp.pkl --retargetable - name: run warp pickle run: BENCHMARK_LOG=usbgpu_openpilot_driving_warp GMMU=0 DEV=USB+AMD taskset -c 4-7 python3 examples/openpilot/load_pickle.py --run warp.pkl --retarget - name: Test copy speeds run: SIZE=64000000 GMMU=0 DEV=USB+AMD taskset -c 4-7 python3 test/external/external_test_usb_asm24.py drivertests: name: PCI Driver Tests (DEV=${{ matrix.dev }}) runs-on: ${{ matrix.dev == 'AMD' && '9060xt' || '3080' }} strategy: fail-fast: false matrix: dev: ['AMD', 'NV'] timeout-minutes: 5 defaults: run: shell: bash -e -o pipefail {0} env: DEV: ${{ matrix.dev }} 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: Test driver cold start time run: time DEBUG=3 AM_RESET=1 python3 test/test_tiny.py TestTiny.test_plus - name: Test driver warm start time if: ${{ matrix.dev != 'NV' }} run: time DEBUG=3 python3 test/test_tiny.py TestTiny.test_plus - name: Test GPU crash recovery if: ${{ matrix.dev != 'NV' }} run: python3 -m pytest -rA test/external/external_test_gpu_crash.py - name: Test tensor cores run: | if [[ "${{ matrix.dev }}" == "NV" ]]; then ALLOW_TF32=1 python3 test/runtime/test_tensor_cores.py else # Fails on 9070 # python3 test/test_linearizer.py test/runtime/test_tensor_cores.py # DEV=AMD:LLVM python3 test/test_linearizer.py test/runtime/test_tensor_cores.py # SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py fi - name: Test DISK copy time run: | truncate -s 4G disk-benchmark TESTFILE=disk-benchmark python3 test/external/external_benchmark_disk_raw.py - name: Test CPU copy time run: | GRAPH_ONE_KERNEL=1 NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit GRAPH_ONE_KERNEL=1 NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit # TODO: HEVC decode timing test # - name: HEVC Decode Benchmark # if: ${{ matrix.dev == 'NV' }} # run: IGNORE_BEAM_CACHE=1 VALIDATE=1 MAX_FRAMES=100 ASSERT_FPS=1400 JITBEAM=1 PYTHONPATH=. python3 extra/hevc/decode.py - name: Remote if: ${{ matrix.dev != 'NV' }} env: DEV: PCI+AMD run: | PYTHONPATH=. python3 extra/remote/serve.py 6482 & server_pid=$! trap 'kill "$server_pid" 2>/dev/null || true' EXIT sleep 1 DEBUG=2 PYTHONPATH=. REMOTE=127.0.0.1:6482 AM_RESET=1 python3 test/test_tiny.py kill "$server_pid" wait "$server_pid" trap - EXIT - name: Run process replay tests uses: ./.github/actions/process-replay llvmspeed: name: LLVM Speed runs-on: [self-hosted, Linux, tinyboxrandom] timeout-minutes: 10 if: github.repository_owner == 'tinygrad' steps: - name: Checkout Code uses: actions/checkout@v6 - name: Speed Test run: DEV=CPU:LLVM python3 test/speed/external_test_speed_v_torch.py - name: Speed Test (BEAM=2) run: IGNORE_BEAM_CACHE=1 BEAM=2 DEV=CPU:LLVM python3 test/speed/external_test_speed_v_torch.py