Add test for open-llama-3b-v2-f16 model through sharktank.

[ScottTodd]

Progress on nod-ai/sharktank#22

This adds one test for a llama model running through https://github.com/nod-ai/sharktank. That project is still getting set up, so new docs for this particular workflow are coming in at nod-ai/sharktank#69 and tests in that repo are in nod-ai/sharktank#70.

Specifically, this exercises:

• sharktank/models/llama/llama.py
• sharktank/examples/export_paged_llm_v1.py with batch sizes == [4]
• The open-llama-3b-v2-f16.gguf file from https://huggingface.co/SlyEcho/open_llama_3b_v2_gguf
• Compilation and crashless execution, not numerical correctness (yet)

Ideas for future work:

• Test cases for the same model/parameters
  • Other batch sizes
  • decode() as well as prefill()
  • Real inputs with expected outputs (decode() crashes on some faked inputs still 🤔)
  • Other flag combinations and target configurations (starting simple though)
• Test cases for other models/parameters
  • 8b / 70b parameter models
  • Mistral, Mixtral, Gemma, etc.

[saienduri]

Nice, is there a reason that sharktank needs its own config file? Pytorch models and sharktank have the same starting point of mlir, so maybe just having one overarching models configuration could work.

[ScottTodd]

Nice, is there a reason that sharktank needs its own config file? Pytorch models and sharktank have the same starting point of mlir, so maybe just having one overarching models configuration could work.

I'm going back and forth on that, thanks for noticing too.

With multiple files we keep the test lists separate. The lists are short, but unqualified right now. I think I want them to be qualified for merging, so this:

SHARK-TestSuite/iree_tests/configs/config_pytorch_models_cpu_llvm_task.json

Lines 10 to 14 in 4751fab

	"skip_compile_tests": [
	"sdxl-scheduled-unet-3-tank",
	"sdxl-vae-decode-tank",
	"sdxl-prompt-encoder-tank"
	],

would be

    "skip_compile_tests": [
      "pytorch/models/sdxl-scheduled-unet-3-tank",
      "pytorch/models/sdxl-vae-decode-tank",
      "pytorch/models/sdxl-prompt-encoder-tank"
    ],

then we'd also have new models:

    "skip_compile_tests": [
      "pytorch/models/sdxl-scheduled-unet-3-tank",
      "pytorch/models/sdxl-vae-decode-tank",
      "pytorch/models/sdxl-prompt-encoder-tank",
      "sharktank/llama/open-llama-3b-v2-f16",
    ],

Let me check if that works... the test names are still a bit awkwardly passed through pytest / conftest.py.

[ScottTodd]

I'm also debating naming/grouping

PR currently:

test suite	exists in iree_tests?	config name
onnx ops	yes	onnx
pytorch ops	no	pytorch
pytorch models	yes	pytorch_models
sharktank models	yes (this PR)	sharktank

One alternative (grouping ops across frameworks and models across frameworks):

test suite	exists in iree_tests?	config name
onnx ops	yes	ops
pytorch ops	no	ops
pytorch models	yes	models
sharktank models	yes (this PR)	models

[ScottTodd]

... and deciding how to run the tests:

By directory, reusing configs:

pytest iree_tests/pytorch/models --config-files=models.json
pytest iree_tests/sharktank --config-files=models.json

By directory, separate configs:

pytest iree_tests/pytorch/models --config-files=pytorch_models.json
pytest iree_tests/sharktank --config-files=sharktank.json

If we ran pytest iree_tests/ --config-files=models.json, that would go down into onnx/node/.

Ah! Nevermind -- we can run pytest dir1 dir2. Maybe not super convenient for local use though - would need to know which configs map to which test suite subfolders.

[saienduri]

Let me check if that works... the test names are still a bit awkwardly passed through pytest / conftest.py.

Yup would be nice to have the them qualified and merge.

I think you would just have to change it to check that the test_directory relative path to repo_root is in the config file rather than just the test_directory name as it is now

[saienduri]

... and deciding how to run the tests:

By directory, reusing configs:

pytest iree_tests/pytorch/models --config-files=models.json
pytest iree_tests/sharktank --config-files=models.json

I think of the options, by directory reusing configs looks like the cleanest

[ScottTodd]

Sorry, building up a stack of merge conflicts with #271 here x_x

[ScottTodd]

Splitting off a few smaller PRs from this:

• Cleanup/refactoring in iree_tests. #273
• Teach download_remote_files.py to use huggingface_hub. #274

[saienduri]

LGTM.