Tests compile fixes (#5148)

* test fix

* fix tests

* fix report name

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

.github/workflows/build_docker_images.yml

@@ -26,6 +26,7 @@ jobs:
         image-name:
           - diffusers-pytorch-cpu
           - diffusers-pytorch-cuda
+          - diffusers-pytorch-compile-cuda
           - diffusers-flax-cpu
           - diffusers-flax-tpu
           - diffusers-onnxruntime-cpu

.github/workflows/push_tests.yml

@@ -78,7 +78,7 @@ jobs:
 
       run: |
         python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
-          -s -v -k "not Flax and not Onnx" \
+          -s -v -k "not Flax and not Onnx and not compile" \
           --make-reports=tests_${{ matrix.config.report }} \
           tests/
 
@@ -113,6 +113,50 @@ jobs:
         name: ${{ matrix.config.report }}_test_reports
         path: reports
 
+  run_torch_compile_tests:
+    name: PyTorch Compile CUDA tests
+
+    runs-on: docker-gpu
+
+    container:
+      image: diffusers/diffusers-pytorch-compile-cuda
+      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/
+
+    steps:
+    - name: Checkout diffusers
+      uses: actions/checkout@v3
+      with:
+        fetch-depth: 2
+
+    - name: NVIDIA-SMI
+      run: |
+        nvidia-smi
+
+    - name: Install dependencies
+      run: |
+        python -m pip install -e .[quality,test,training]
+
+    - name: Environment
+      run: |
+        python utils/print_env.py
+
+    - name: Run example tests on GPU
+      env:
+        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
+      run: |
+        python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "compile" --make-reports=tests_torch_compile_cuda tests/
+
+    - name: Failure short reports
+      if: ${{ failure() }}
+      run: cat reports/tests_torch_compile_cuda_failures_short.txt
+
+    - name: Test suite reports artifacts
+      if: ${{ always() }}
+      uses: actions/upload-artifact@v2
+      with:
+        name: torch_compile_test_reports
+        path: reports
+
   run_examples_tests:
     name: Examples PyTorch CUDA tests on Ubuntu
 

docker/diffusers-pytorch-compile-cuda/Dockerfile

+FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04
+LABEL maintainer="Hugging Face"
+LABEL repository="diffusers"
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt update && \
+    apt install -y bash \
+                   build-essential \
+                   git \
+                   git-lfs \
+                   curl \
+                   ca-certificates \
+                   libsndfile1-dev \
+                   libgl1 \
+                   python3.9 \
+                   python3-pip \
+                   python3.9-venv && \
+    rm -rf /var/lib/apt/lists
+
+# make sure to use venv
+RUN python3 -m venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
+RUN python3 -m pip install --no-cache-dir --upgrade pip && \
+    python3 -m pip install --no-cache-dir \
+        torch \
+        torchvision \
+        torchaudio \
+        invisible_watermark && \
+    python3 -m pip install --no-cache-dir \
+        accelerate \
+        datasets \
+        hf-doc-builder \
+        huggingface-hub \
+        Jinja2 \
+        librosa \
+        numpy \
+        scipy \
+        tensorboard \
+        transformers \
+        omegaconf \
+        pytorch-lightning \
+        xformers
+
+CMD ["/bin/bash"]

src/diffusers/utils/testing_utils.py

@@ -266,6 +266,15 @@ def deprecate_after_peft_backend(test_case):
     return unittest.skipUnless(not USE_PEFT_BACKEND, "test skipped in favor of PEFT backend")(test_case)
 
 
+def require_python39_or_higher(test_case):
+    def python39_available():
+        sys_info = sys.version_info
+        major, minor = sys_info.major, sys_info.minor
+        return major == 3 and minor >= 9
+
+    return unittest.skipUnless(python39_available(), "test requires Python 3.9 or higher")(test_case)
+
+
 def load_numpy(arry: Union[str, np.ndarray], local_path: Optional[str] = None) -> np.ndarray:
     if isinstance(arry, str):
         # local_path = "/home/patrick_huggingface_co/"

tests/models/test_modeling_common.py

@@ -33,6 +33,7 @@ from diffusers.training_utils import EMAModel
 from diffusers.utils import logging
 from diffusers.utils.testing_utils import (
     CaptureLogger,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -355,6 +356,7 @@ class ModelTesterMixin:
         max_diff = (image - new_image).abs().max().item()
         self.assertLessEqual(max_diff, expected_max_diff, "Models give different forward passes")
 
+    @require_python39_or_higher
     @require_torch_2
     def test_from_save_pretrained_dynamo(self):
         init_dict, _ = self.prepare_init_args_and_inputs_for_common()

tests/pipelines/controlnet/test_controlnet.py

@@ -36,6 +36,7 @@ from diffusers.utils.testing_utils import (
     enable_full_determinism,
     load_image,
     load_numpy,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -894,6 +895,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
         expected_slice = np.array([0.1655, 0.1721, 0.1623, 0.1685, 0.1711, 0.1646, 0.1651, 0.1631, 0.1494])
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 
+    @require_python39_or_higher
     @require_torch_2
     def test_stable_diffusion_compile(self):
         run_test_in_subprocess(test_case=self, target_func=_test_stable_diffusion_compile, inputs=None)

tests/pipelines/stable_diffusion/test_stable_diffusion.py

@@ -44,6 +44,7 @@ from diffusers.utils.testing_utils import (
     load_numpy,
     nightly,
     numpy_cosine_similarity_distance,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -988,6 +989,7 @@ class StableDiffusionPipelineSlowTests(unittest.TestCase):
         max_diff = np.abs(expected_image - image).max()
         assert max_diff < 8e-1
 
+    @require_python39_or_higher
     @require_torch_2
     def test_stable_diffusion_compile(self):
         seed = 0

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py

@@ -38,6 +38,7 @@ from diffusers.utils.testing_utils import (
     load_image,
     load_numpy,
     nightly,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -505,6 +506,7 @@ class StableDiffusionImg2ImgPipelineSlowTests(unittest.TestCase):
         assert out.nsfw_content_detected[0], f"Safety checker should work for prompt: {inputs['prompt']}"
         assert np.abs(out.images[0]).sum() < 1e-5  # should be all zeros
 
+    @require_python39_or_higher
     @require_torch_2
     def test_img2img_compile(self):
         seed = 0

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py

@@ -42,6 +42,7 @@ from diffusers.utils.testing_utils import (
     load_image,
     load_numpy,
     nightly,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -529,6 +530,7 @@ class StableDiffusionInpaintPipelineSlowTests(unittest.TestCase):
         # make sure that less than 2.2 GB is allocated
         assert mem_bytes < 2.2 * 10**9
 
+    @require_python39_or_higher
     @require_torch_2
     def test_inpaint_compile(self):
         seed = 0
@@ -770,6 +772,7 @@ class StableDiffusionInpaintPipelineAsymmetricAutoencoderKLSlowTests(unittest.Te
         # make sure that less than 2.45 GB is allocated
         assert mem_bytes < 2.45 * 10**9
 
+    @require_python39_or_higher
     @require_torch_2
     def test_inpaint_compile(self):
         pass

tests/pipelines/test_pipelines.py

@@ -73,6 +73,7 @@ from diffusers.utils.testing_utils import (
     require_compel,
     require_flax,
     require_onnxruntime,
+    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -1636,6 +1637,7 @@ class PipelineSlowTests(unittest.TestCase):
 
         assert np.abs(image - new_image).max() < 1e-5, "Models don't give the same forward pass"
 
+    @require_python39_or_higher
     @require_torch_2
     def test_from_save_pretrained_dynamo(self):
         run_test_in_subprocess(test_case=self, target_func=_test_from_save_pretrained_dynamo, inputs=None)