remove installation
Browse files- app.py +30 -30
- requirements.txt +25 -4
- src/experiments/real_world/gs/helpers.py +2 -2
app.py
CHANGED
@@ -29,41 +29,41 @@ import spaces
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from spaces import zero
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zero.startup()
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def install_cuda_toolkit():
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install_cuda_toolkit()
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gs_path = Path(__file__).parent / "src/third-party/diff-gaussian-rasterization-w-depth"
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subprocess.check_call([sys.executable, "-m", "pip", "install", "-e", str(gs_path)])
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site.main() # re-processes every *.pth in site-packages
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importlib.invalidate_caches()
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diff_gaussian_rasterization = importlib.import_module("diff_gaussian_rasterization")
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subprocess.check_call([sys.executable, "-m", "pip", "install", "--no-deps", "dgl", "-f", "https://data.dgl.ai/wheels/torch-2.4/cu124/repo.html"])
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# subprocess.check_call([sys.executable, "-m", "pip", "uninstall", "-y", "torch", "torchvision", "torchaudio"])
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "torch==2.4.0", "torchvision==0.19.0", "torchaudio==2.4.0", "--index-url", "https://download.pytorch.org/whl/cu124"])
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# os.system('conda install conda-forge::ffmpeg')
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site.main() # re-processes every *.pth in site-packages
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importlib.invalidate_caches()
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torch = importlib.import_module("torch")
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import torch
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import torch.nn as nn
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from spaces import zero
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zero.startup()
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# def install_cuda_toolkit():
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# # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
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# # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
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# CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run"
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# CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
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# subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
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# subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
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# subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
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# os.environ["CUDA_HOME"] = "/usr/local/cuda"
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# os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
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# os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
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# os.environ["CUDA_HOME"],
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# "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
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# )
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# # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
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# os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
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# install_cuda_toolkit()
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# gs_path = Path(__file__).parent / "src/third-party/diff-gaussian-rasterization-w-depth"
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "-e", str(gs_path)])
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# site.main() # re-processes every *.pth in site-packages
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# importlib.invalidate_caches()
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# diff_gaussian_rasterization = importlib.import_module("diff_gaussian_rasterization")
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "--no-deps", "dgl", "-f", "https://data.dgl.ai/wheels/torch-2.4/cu124/repo.html"])
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# subprocess.check_call([sys.executable, "-m", "pip", "uninstall", "-y", "torch", "torchvision", "torchaudio"])
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "torch==2.4.0", "torchvision==0.19.0", "torchaudio==2.4.0", "--index-url", "https://download.pytorch.org/whl/cu124"])
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# os.system('conda install conda-forge::ffmpeg')
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# site.main() # re-processes every *.pth in site-packages
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# importlib.invalidate_caches()
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# torch = importlib.import_module("torch")
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import torch
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import torch.nn as nn
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requirements.txt
CHANGED
@@ -1,4 +1,4 @@
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warp-lang==1.1.0
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trimesh
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pyyaml
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numpy==1.26.4
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@@ -23,6 +23,27 @@ timm
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omegaconf
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hydra-core
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wandb
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# warp-lang==1.1.0
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trimesh
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pyyaml
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numpy==1.26.4
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omegaconf
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hydra-core
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wandb
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# torch==2.6.0 --index-url https://download.pytorch.org/whl/cu124
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# torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
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# torchaudio==2.6.0 --index-url https://download.pytorch.org/whl/cu124
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# diff-gaussian-rasterization @ file://./src/third-party/diff-gaussian-rasterization-w-depth
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# dgl==2.4.0+cu124 --find-links https://data.dgl.ai/wheels/torch-2.4/cu124/repo.html
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# --- core CUDA wheels -------------------------------------------------
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--extra-index-url https://download.pytorch.org/whl/cu124
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torch==2.4.0+cu124 # ⇦ install Torch first
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torchvision==0.19.0+cu124
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torchaudio==2.4.0+cu124
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# --- DGL (needs the matching Torch 2.4 wheel) -------------------------
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--find-links https://data.dgl.ai/wheels/torch-2.4/cu124/repo.html
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dgl==2.4.0+cu124
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warp-lang==1.1.0
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# --- everything that depends on torch *after* this point --------------
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# editable build (keeps recompiling when you edit the code)
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-e ./src/third-party/diff-gaussian-rasterization-w-depth
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# or, if you prefer an immutable wheel:
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# diff-gaussian-rasterization @ ./src/third-party/diff-gaussian-rasterization-w-depth
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src/experiments/real_world/gs/helpers.py
CHANGED
@@ -3,9 +3,9 @@ import os
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# import open3d as o3d
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import numpy as np
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from pathlib import Path
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import importlib
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from diff_gaussian_rasterization import GaussianRasterizationSettings as Camera
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# import open3d as o3d
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import numpy as np
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from pathlib import Path
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# import importlib
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# diff_gaussian_rasterization = importlib.import_module("diff_gaussian_rasterization")
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from diff_gaussian_rasterization import GaussianRasterizationSettings as Camera
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