SGLang Integration + Accuracy Tests, Restructure app_tests/integration_tests (#570)

# Description

This PR implements integration tests for the Shortfin LLM Server w/ the
SGLang integration. It uses llama3-8b-instruct on GPU, which is
downloaded using sharktank's `hf_datasets` script.

The tests server two purposes:
1. Test that the SGLang integration works properly at a functional
level.
2. Test that the accuracy of the responses from the shortfin LLM server
are consistent.
    - We have a batch of candidate questions, with expected answers
- We have temperature set to `1.0`, so the responses should be
deterministic.
 
This test is intended to run every 4 hours, which allows for us to
detect degradations in shortfin LLM output accuracy. If we do get a
failure due to an accuracy degradation, there will only be a small set
of shark-ai/iree commits that could be responsible.

Author: stbaione

.github/workflows/ci-sglang-integration-tests.yml

@@ -0,0 +1,84 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
+name: SGLang Llama Integration Tests
+
+on:
+  workflow_dispatch:
+  schedule:
+    # Run periodically, every 4 hours. This is ran periodically with the
+    # intent of catching regressions early, and allowing for those
+    # regressions to be easily triaged to a small subset of commits.
+    - cron: '0 */4 * * *'
+
+concurrency:
+  # A PR number if a pull request and otherwise the commit hash. This cancels
+  # queued and in-progress runs for the same PR (presubmit) or commit
+  # (postsubmit). The workflow name is prepended to avoid conflicts between
+  # different workflows.
+  group: ${{ github.workflow }}-${{ github.event.number || github.sha }}
+  cancel-in-progress: true
+
+jobs:
+  sglang_bench_serve:
+    name: "SGLang Integration Tests"
+    strategy:
+      matrix:
+        version: [3.11]
+      fail-fast: false
+    runs-on: llama-mi300x-3
+    defaults:
+      run:
+        shell: bash
+    env:
+      PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache"
+    steps:
+      - name: Get Current Date
+        id: date
+        run: echo "::set-output name=date::$(date +'%Y-%m-%d')"
+
+      - name: "Setting up Python"
+        id: setup_python
+        uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
+        with:
+          python-version: ${{matrix.version}}
+
+      - name: "Checkout Code"
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+
+      - name: Cache Pip Packages
+        uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a # v4.1.2
+        id: cache-pip
+        with:
+          path: ${{ env.PIP_CACHE_DIR }}
+          key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }}
+
+      - name: Install pip deps
+        run: |
+          python -m pip install --no-compile --upgrade pip
+          # Note: We install in three steps in order to satisfy requirements
+          # from non default locations first. Installing the PyTorch CPU
+          # wheels saves multiple minutes and a lot of bandwidth on runner setup.
+          pip install --no-compile -r pytorch-cpu-requirements.txt
+          pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \
+            -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine"
+          pip install --no-compile -r requirements.txt -e sharktank/ shortfin/
+
+          # Use newest possible releases to be able to track commits that may
+          # cause errors.
+          pip install -f https://iree.dev/pip-release-links.html --upgrade \
+            iree-base-compiler \
+            iree-base-runtime \
+            "numpy<2.0"
+
+      - name: Install SGLang
+        run: pip install "git+https://github.com/nod-ai/sglang.git#subdirectory=python"
+
+      - name: Install sentence_transformers
+        run: pip install sentence_transformers
+
+      - name: Run Integration Tests
+        run: pytest -v app_tests/integration_tests/llm/sglang --log-cli-level=INFO

.github/workflows/ci-shark-ai.yml

@@ -72,4 +72,4 @@ jobs:
             iree-base-runtime
 
       - name: Run LLM Integration Tests
-        run: pytest -v app_tests/integration_tests/llm --log-cli-level=INFO
+        run: pytest -v app_tests/integration_tests/llm/shortfin --log-cli-level=INFO

app_tests/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

app_tests/benchmark_tests/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

app_tests/integration_tests/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

app_tests/integration_tests/llm/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

app_tests/integration_tests/llm/sglang/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

app_tests/integration_tests/llm/sglang/conftest.py

@@ -0,0 +1,123 @@
+# Copyright 2024 Advanced Micro Devices, Inc.
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
+import json
+import logging
+import os
+import pytest
+
+from ..utils import (
+    find_available_port,
+    start_llm_server,
+    download_with_hf_datasets,
+    export_paged_llm_v1,
+    compile_model,
+)
+
+pytest.importorskip("sglang")
+import sglang as sgl
+from sglang.lang.chat_template import get_chat_template
+
+pytest.importorskip("sentence_transformers")
+from sentence_transformers import SentenceTransformer
+
+logger = logging.getLogger(__name__)
+
+
+@pytest.fixture(scope="module")
+def register_shortfin_backend(available_port):
+    backend = sgl.Shortfin(
+        chat_template=get_chat_template("llama-3-instruct"),
+        base_url=f"http://localhost:{available_port}",
+    )
+    sgl.set_default_backend(backend)
+
+
+@pytest.fixture(scope="module")
+def pre_process_model(request, tmp_path_factory):
+    device_settings = request.param["device_settings"]
+    tmp_dir = tmp_path_factory.mktemp("sglang_integration_tests")
+
+    # Download model
+    model_params_path = tmp_dir / "meta-llama-3.1-8b-instruct.f16.gguf"
+    download_with_hf_datasets(tmp_dir, "llama3_8B_fp16")
+
+    # Export to mlir
+    mlir_path = tmp_dir / "model.mlir"
+    config_path = tmp_dir / "config.json"
+    batch_sizes = [1, 4]
+    export_paged_llm_v1(
+        mlir_path,
+        config_path,
+        model_params_path,
+        batch_sizes,
+    )
+
+    # Compile Model
+    vmfb_path = tmp_dir / "model.vmfb"
+    compile_model(
+        mlir_path,
+        vmfb_path,
+        device_settings,
+    )
+
+    config = {
+        "module_name": "module",
+        "module_abi_version": 1,
+        "max_seq_len": 131072,
+        "attn_head_count": 8,
+        "attn_head_dim": 128,
+        "prefill_batch_sizes": [1, 4],
+        "decode_batch_sizes": [1, 4],
+        "transformer_block_count": 32,
+        "paged_kv_cache": {"block_seq_stride": 16, "device_block_count": 256},
+    }
+    config_path = tmp_dir / "config.json"
+    with open(config_path, "w") as f:
+        json.dump(config, f)
+
+    return tmp_dir
+
+
+@pytest.fixture(scope="module")
+def available_port():
+    return find_available_port()
+
+
+@pytest.fixture(scope="module")
+def start_server(request, pre_process_model, available_port):
+    os.environ["ROCR_VISIBLE_DEVICES"] = "1"
+    device_settings = request.param["device_settings"]
+
+    export_dir = pre_process_model
+
+    tokenizer_path = export_dir / "tokenizer.json"
+    model_params_path = export_dir / "meta-llama-3.1-8b-instruct.f16.gguf"
+    vmfb_path = export_dir / "model.vmfb"
+    config_path = export_dir / "config.json"
+
+    logger.info("Starting server...")
+    server_process = start_llm_server(
+        available_port,
+        tokenizer_path,
+        config_path,
+        vmfb_path,
+        model_params_path,
+        device_settings,
+        timeout=30,
+    )
+    logger.info("Server started")
+
+    yield server_process
+
+    server_process.terminate()
+    server_process.wait()
+
+
+@pytest.fixture(scope="module")
+def load_comparison_model():
+    model = SentenceTransformer("all-MiniLM-L6-v2")
+    return model