Files
tinygrad/.github/workflows/benchmark.yml
2023-08-06 21:38:59 -07:00

80 lines
2.9 KiB
YAML

name: Benchmarks
on:
push:
branches:
- master
- update_benchmark
jobs:
testmacbenchmark:
name: Mac Benchmark
runs-on: [self-hosted, macOS]
env:
PYTHONPATH: .
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Run model inference benchmark
run: python3 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: BIG=2 MPS=1 python3 test/test_speed_v_torch.py | tee torch_speed.txt
- name: Run Stable Diffusion
run: |
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
time python3 examples/stable_diffusion.py --noshow
- name: Run LLaMA
run: |
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
python3 examples/llama.py --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_unjitted.txt
JIT=1 python3 examples/llama.py --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_jitted.txt
- name: Run 10 CIFAR training steps
run: |
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar.txt
- uses: actions/upload-artifact@v3
with:
name: Speed (Mac)
path: |
onnx_inference_speed.csv
torch_speed.txt
train_cifar.txt
llama_unjitted.txt
llama_jitted.txt
testamdbenchmark:
name: AMD Benchmark
runs-on: [self-hosted, Linux]
env:
PYTHONPATH: .
steps:
- name: Checkout Code
uses: actions/checkout@v3
- name: Run model inference benchmark
run: python3 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: BIG=2 TORCHCUDA=1 python3 test/test_speed_v_torch.py | tee torch_speed.txt
- name: Run Stable Diffusion
run: |
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
time DEBUG=1 python3 examples/stable_diffusion.py --noshow
- name: Run LLaMA
run: |
ln -s ~/tinygrad/weights/LLaMA weights/LLaMA
python3 examples/llama.py --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_unjitted.txt
JIT=1 python3 examples/llama.py --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_jitted.txt
- name: Run 10 CIFAR training steps
run: |
ln -s ~/tinygrad/extra/datasets/cifar-10-python.tar.gz extra/datasets/cifar-10-python.tar.gz
STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar.txt
- uses: actions/upload-artifact@v3
with:
name: Speed (AMD)
path: |
onnx_inference_speed.csv
torch_speed.txt
train_cifar.txt
llama_unjitted.txt
llama_jitted.txt