nickfraser/optimum-amd-utils

Some utils for working with optimum-amd

Utils for Testing Optimum-AMDs Brevitas Example

A small collection of utils and a test suite for optimum-amd's Brevitas example.

Prerequisites

The test suite has been tested with the following:

• python==3.11
• PyTorch==2.12
• accelerate==main
• transformers>=4.38.1
• optimum>=1.17.0
• brevitas==dev
• pytest==8.0.1
• optimum-amd (See instructions below)

Environment Setup

The easiest way to set up the environment is with miniforge as follows:

mamba env create -n oamdu -f conda/oamd_hf_main_pt2.1.2_minimal.yml
pip install -e /path/to/optimum-amd/
ln -s /path/to/optimum-amd/examples/quantization/brevitas/quantize_llm.py src/optimum_amd_utils/examples/
ln -s /path/to/optimum-amd/examples/quantization/brevitas/validate_onnx.py src/optimum_amd_utils/examples/
pip install -e .

Running the Tests

The tests have many markers representing different PTQ algorithms and device targets. To run a test suite which tests:

• Small and large OPT, Llama & Mistral models
• every PTQ algorithm individually
• every device (cpu, gpu, accelerate without CPU offload, accelerate with CPU offload, accelerate with multiple GPUs),

run the following:

CUDA_VISIBLE_DEVICES=0 pytest -m "short and (cpu or gpu or acc or acc_offload)"

Alternatively, to run all the tests with the "recommended" settings, run:

CUDA_VISIBLE_DEVICES=0 pytest -m "recommended"

For any failing tests, you can use it's name to run it individually, for example:

CUDA_VISIBLE_DEVICES=0 pytest "test/brevitas/test_main.py::test_toggle_opt_acc[run_toggle_args4]"

Sanity Check Tests

A good set of tests to run to test that the main modes don't fail are:

CUDA_VISIBLE_DEVICES=0 pytest -m "short and run and (opt or small_models) and (cpu or gpu) and not recommended"
CUDA_VISIBLE_DEVICES=1 pytest -m "short and run and (opt or small_models) and (acc or acc_offload) and not recommended"
CUDA_VISIBLE_DEVICES=2 pytest -m "short and run and (opt or small_models) and recommended"

assuming you have 3 GPUs.

To run the mulit-GPU tests, a good set is:

CUDA_VISIBLE_DEVICES=0,1,2 pytest -m "short and run and (opt or small_models) and recommended and acc_gpus"

Again, assuming you have 3 GPUs.

Deliverable Tests

The following will test all the models that we're supposed to deliver on multiple GPUs:

CUDA_VISIBLE_DEVICES=0,1,2 pytest -m "large_models and ppl and acc_gpus"