Spaces:
Running on Zero
Running on Zero
[Admin maintenance] Support new ZeroGPU hardware
Browse files
app.py
CHANGED
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@@ -13,15 +13,57 @@ from einops import rearrange, repeat
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from tqdm import tqdm
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler
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import subprocess, sys
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@spaces.GPU(duration=210)
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def first_gpu_setup():
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first_gpu_setup()
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from src.utils.train_util import instantiate_from_config
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from src.utils.camera_util import (
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FOV_to_intrinsics,
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from tqdm import tqdm
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler
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import subprocess, sys, glob, tempfile, ctypes
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CUDA_HOME = "/cuda-image/usr/local/cuda-13.0"
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CUDA_LIBDIR = os.path.join(CUDA_HOME, "lib64")
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@spaces.GPU(duration=210)
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def first_gpu_setup():
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try:
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import nvdiffrast # noqa: F401
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print("nvdiffrast already installed; skipping build.")
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return
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except ImportError:
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pass
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if not os.path.exists(os.path.join(CUDA_HOME, "bin", "nvcc")):
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raise RuntimeError(
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f"nvcc not found at {CUDA_HOME}/bin/nvcc on the ZeroGPU worker. "
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"The new-hardware CUDA path may have moved; please update CUDA_HOME."
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)
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patch_dir = tempfile.mkdtemp(prefix="torch_cuda_patch_")
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with open(os.path.join(patch_dir, "sitecustomize.py"), "w") as f:
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f.write(
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"try:\n"
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" import torch.utils.cpp_extension as _c\n"
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" _c._check_cuda_version = lambda *a, **k: None\n"
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"except Exception:\n"
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" pass\n"
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)
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env = os.environ.copy()
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env["CUDA_HOME"] = CUDA_HOME
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env["CUDA_PATH"] = CUDA_HOME
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env["PATH"] = os.path.join(CUDA_HOME, "bin") + os.pathsep + env.get("PATH", "")
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env["PYTHONPATH"] = patch_dir + os.pathsep + env.get("PYTHONPATH", "")
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env["TORCH_CUDA_ARCH_LIST"] = "12.0"
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subprocess.check_call(
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[sys.executable, "-m", "pip", "install", "--no-deps",
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"setuptools", "wheel", "ninja"],
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)
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subprocess.check_call(
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[sys.executable, "-m", "pip", "install", "--no-build-isolation",
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"git+https://github.com/NVlabs/nvdiffrast/"],
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env=env,
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)
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first_gpu_setup()
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ctypes.CDLL(os.path.join(CUDA_LIBDIR, "libcudart.so.13"), mode=ctypes.RTLD_GLOBAL)
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os.environ["LD_LIBRARY_PATH"] = CUDA_LIBDIR + os.pathsep + os.environ.get("LD_LIBRARY_PATH", "")
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from src.utils.train_util import instantiate_from_config
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from src.utils.camera_util import (
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FOV_to_intrinsics,
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