feat: make cupy optional in install.py
cupy is now a best-effort install for NVIDIA users. Non-CUDA setups (ROCm, CPU) skip cupy and use PyTorch fallback kernels instead. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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+17
-22
@@ -8,44 +8,39 @@ def get_cupy_package():
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try:
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import torch
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if not torch.cuda.is_available():
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print("[Tween] WARNING: CUDA not available. cupy requires CUDA.")
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return None
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cuda_version = torch.version.cuda
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if cuda_version is None:
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print("[Tween] WARNING: PyTorch has no CUDA version info.")
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return None
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major = int(cuda_version.split(".")[0])
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cupy_pkg = f"cupy-cuda{major}x"
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print(f"[Tween] Detected CUDA {cuda_version}, will use {cupy_pkg}")
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return cupy_pkg
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except Exception as e:
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print(f"[Tween] WARNING: Could not detect CUDA version: {e}")
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except Exception:
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return None
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def update_requirements(cupy_pkg):
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"""Write the correct cupy package into requirements.txt."""
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requirements_path = os.path.join(os.path.dirname(__file__), "requirements.txt")
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lines = []
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if os.path.exists(requirements_path):
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with open(requirements_path, "r") as f:
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lines = [l.rstrip() for l in f if not l.strip().startswith("cupy")]
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if cupy_pkg and cupy_pkg not in lines:
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lines.append(cupy_pkg)
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with open(requirements_path, "w") as f:
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f.write("\n".join(lines) + "\n")
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def install():
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cupy_pkg = get_cupy_package()
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if cupy_pkg:
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update_requirements(cupy_pkg)
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# Install core requirements first
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requirements_path = os.path.join(os.path.dirname(__file__), "requirements.txt")
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subprocess.check_call([
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sys.executable, "-m", "pip", "install", "-r", requirements_path
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])
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# Try to install cupy for NVIDIA users (optional, improves performance)
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cupy_pkg = get_cupy_package()
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if cupy_pkg:
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try:
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subprocess.check_call([
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sys.executable, "-m", "pip", "install", cupy_pkg
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])
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print(f"[Tween] cupy installed ({cupy_pkg}) — fast CUDA kernels enabled")
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except subprocess.CalledProcessError:
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print(f"[Tween] WARNING: Could not install {cupy_pkg}. "
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f"BIM-VFI, SGM-VFI, and GIMM-VFI will use slower PyTorch fallback.")
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else:
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print("[Tween] cupy skipped (no NVIDIA CUDA). "
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"BIM-VFI, SGM-VFI, and GIMM-VFI will use PyTorch fallback.")
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if __name__ == "__main__":
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install()
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