{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "o4YiQ8rc5NCf" }, "source": [ "## Point cloud upsampling" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0MCU2JwJ1CK6", "outputId": "db304ddc-345a-4057-efcd-53ed455da245" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cloning into 'UniST'...\n", "remote: Enumerating objects: 258, done.\u001b[K\n", "remote: Counting objects: 100% (258/258), done.\u001b[K\n", "remote: Compressing objects: 100% (223/223), done.\u001b[K\n", "remote: Total 258 (delta 73), reused 188 (delta 30), pack-reused 0 (from 0)\u001b[K\n", "Receiving objects: 100% (258/258), 7.39 MiB | 14.30 MiB/s, done.\n", "Resolving deltas: 100% (73/73), done.\n", "/content/UniST\n" ] } ], "source": [ "!git clone https://github.com/lanshui98/UniST.git\n", "%cd UniST" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pJDGg6JM4het", "outputId": "41d30b95-bcde-4b3a-e713-80791f81b9e8" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 5)) (2.9.0+cu126)\n", "Requirement already satisfied: einops==0.7.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 6)) (0.7.0)\n", "Requirement already satisfied: tensorflow>=2.16.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 7)) (2.19.0)\n", "Requirement already satisfied: numpy>=1.19.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 10)) (2.0.2)\n", "Requirement already satisfied: scipy>=1.5.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 11)) (1.16.3)\n", "Requirement already satisfied: scikit-learn>=1.6.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 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markdown-it-py>=2.2.0->rich->keras>=3.5.0->tensorflow>=2.16.0->-r requirements.txt (line 7)) (0.1.2)\n", "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.12/dist-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets>=8.0.4->open3d>=0.13.0->-r requirements.txt (line 20)) (0.7.0)\n", "Requirement already satisfied: wcwidth in /usr/local/lib/python3.12/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=6.1.0->ipywidgets>=8.0.4->open3d>=0.13.0->-r requirements.txt (line 20)) (0.5.3)\n" ] } ], "source": [ "!pip install -r requirements.txt" ] }, { "cell_type": "markdown", "metadata": { "id": "DTq3zJta5Smm" }, "source": [ "#### cuda extention" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fnq0qvqk4mSF", "outputId": "e4f4ab8b-a0ce-4272-d9bb-71270bd293cb" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "============================================================\n", "UniST CUDA Extensions Setup\n", "============================================================\n", "Project root: /content/UniST\n", "\n", "Warning: TORCH_CUDA_ARCH_LIST not set.\n", "Defaulting to architecture 8.0 (A100, RTX 3090, etc.)\n", "For other GPUs, set TORCH_CUDA_ARCH_LIST before running:\n", " export TORCH_CUDA_ARCH_LIST=\"7.0\" # V100\n", " export TORCH_CUDA_ARCH_LIST=\"7.5\" # RTX 2080, Titan RTX\n", " export TORCH_CUDA_ARCH_LIST=\"8.0\" # A100, RTX 3090\n", " export TORCH_CUDA_ARCH_LIST=\"8.6\" # RTX 3090, A6000\n", "\n", "============================================================\n", "Building Chamfer3D CUDA extension...\n", "============================================================\n", "running install\n", "/usr/local/lib/python3.12/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n", "!!\n", "\n", " ********************************************************************************\n", " Please avoid running ``setup.py`` directly.\n", " Instead, use pypa/build, pypa/installer or other\n", " standards-based tools.\n", "\n", " See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n", " ********************************************************************************\n", "\n", "!!\n", " self.initialize_options()\n", "/usr/local/lib/python3.12/dist-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.\n", "!!\n", "\n", " ********************************************************************************\n", " Please avoid running ``setup.py`` and ``easy_install``.\n", " Instead, use pypa/build, pypa/installer or other\n", " standards-based tools.\n", "\n", " See https://github.com/pypa/setuptools/issues/917 for details.\n", " ********************************************************************************\n", "\n", "!!\n", " self.initialize_options()\n", "running bdist_egg\n", "running egg_info\n", "creating chamfer_3D.egg-info\n", "writing chamfer_3D.egg-info/PKG-INFO\n", "writing dependency_links to chamfer_3D.egg-info/dependency_links.txt\n", "writing top-level names to chamfer_3D.egg-info/top_level.txt\n", "writing manifest file 'chamfer_3D.egg-info/SOURCES.txt'\n", "reading manifest file 'chamfer_3D.egg-info/SOURCES.txt'\n", "writing manifest file 'chamfer_3D.egg-info/SOURCES.txt'\n", "installing library code to build/bdist.linux-x86_64/egg\n", "running install_lib\n", "running build_ext\n", "W0207 02:16:01.221000 8398 torch/utils/cpp_extension.py:521] The detected CUDA version (12.5) has a minor version mismatch with the version that was used to compile PyTorch (12.6). Most likely this shouldn't be a problem.\n", "W0207 02:16:01.221000 8398 torch/utils/cpp_extension.py:531] There are no x86_64-linux-gnu-g++ version bounds defined for CUDA version 12.5\n", "building 'chamfer_3D' extension\n", "creating /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D\n", "[1/2] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu -o /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=chamfer_3D -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu: In function ‘int chamfer_cuda_forward(at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor)’:\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:142:122: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 142 | NmDistanceKernel<<>>(batch_size, n, xyz1.data(), m, xyz2.data(), dist1.data(), idx1.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:142:147: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 142 | NmDistanceKernel<<>>(batch_size, n, xyz1.data(), m, xyz2.data(), dist1.data(), idx1.data());\n", " | ~~~~~~~~~~~~~~~~~ ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:142:170: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 142 | NmDistanceKernel<<>>(batch_size, n, xyz1.data(), m, xyz2.data(), dist1.data(), idx1.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:142:190: warning: ‘T* at::Tensor::data() const [with T = int]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 142 | NmDistanceKernel<<>>(batch_size, n, xyz1.data(), m, xyz2.data(), dist1.data(), idx1.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:143:122: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 143 | NmDistanceKernel<<>>(batch_size, m, xyz2.data(), n, xyz1.data(), dist2.data(), idx2.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:143:147: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 143 | NmDistanceKernel<<>>(batch_size, m, xyz2.data(), n, xyz1.data(), dist2.data(), idx2.data());\n", " | ~~~~~~~~~~~~~~~~~ ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:143:170: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 143 | NmDistanceKernel<<>>(batch_size, m, xyz2.data(), n, xyz1.data(), dist2.data(), idx2.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:143:190: warning: ‘T* at::Tensor::data() const [with T = int]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 143 | NmDistanceKernel<<>>(batch_size, m, xyz2.data(), n, xyz1.data(), dist2.data(), idx2.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu: In function ‘int chamfer_cuda_backward(at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor)’:\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:125: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:150: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:177: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ~~~~~~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:197: warning: ‘T* at::Tensor::data() const [with T = int]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ~~~~~~~~~~~~ ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:223: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:184:249: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 184 | NmDistanceGradKernel<<>>(batch_size,n,xyz1.data(),m,xyz2.data(),graddist1.data(),idx1.data(),gradxyz1.data(),gradxyz2.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:125: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:150: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:177: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ~~~~~~~~~~~~~~~~~~~~~~~^~\n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:197: warning: ‘T* at::Tensor::data() const [with T = int]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ~~~~~~~~~~~~ ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:223: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.cu:185:249: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]\n", " 185 | NmDistanceGradKernel<<>>(batch_size,m,xyz2.data(),n,xyz1.data(),graddist2.data(),idx2.data(),gradxyz2.data(),gradxyz1.data());\n", " | ^ \n", "/usr/local/lib/python3.12/dist-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here\n", " 247 | T * data() const {\n", " | ^ ~~\n", "[2/2] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=chamfer_3D -std=c++17\n", "creating build/lib.linux-x86_64-cpython-312\n", "x86_64-linux-gnu-g++ -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer3D.o /content/UniST/external/RepKPU_ops/models/Chamfer3D/build/temp.linux-x86_64-cpython-312/content/UniST/external/RepKPU_ops/models/Chamfer3D/chamfer_cuda.o -L/usr/local/lib/python3.12/dist-packages/torch/lib -L/usr/local/cuda/lib64 -L/usr/lib/x86_64-linux-gnu -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-312/chamfer_3D.cpython-312-x86_64-linux-gnu.so\n", "creating build/bdist.linux-x86_64/egg\n", "copying build/lib.linux-x86_64-cpython-312/chamfer_3D.cpython-312-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg\n", "creating stub loader for chamfer_3D.cpython-312-x86_64-linux-gnu.so\n", "byte-compiling build/bdist.linux-x86_64/egg/chamfer_3D.py to chamfer_3D.cpython-312.pyc\n", "creating build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying chamfer_3D.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying chamfer_3D.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying chamfer_3D.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying chamfer_3D.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt\n", "zip_safe flag not set; analyzing archive contents...\n", "__pycache__.chamfer_3D.cpython-312: module references __file__\n", "creating dist\n", "creating 'dist/chamfer_3D-0.0.0-py3.12-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n", "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n", "Processing chamfer_3D-0.0.0-py3.12-linux-x86_64.egg\n", "creating /usr/local/lib/python3.12/dist-packages/chamfer_3D-0.0.0-py3.12-linux-x86_64.egg\n", "Extracting chamfer_3D-0.0.0-py3.12-linux-x86_64.egg to /usr/local/lib/python3.12/dist-packages\n", "Adding chamfer-3D 0.0.0 to easy-install.pth file\n", "\n", "Installed /usr/local/lib/python3.12/dist-packages/chamfer_3D-0.0.0-py3.12-linux-x86_64.egg\n", "Processing dependencies for chamfer-3D==0.0.0\n", "Finished processing dependencies for chamfer-3D==0.0.0\n", "✓ Chamfer3D extension built successfully!\n", "\n", "============================================================\n", "Building pointops CUDA extension...\n", "============================================================\n", "running install\n", "/usr/local/lib/python3.12/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n", "!!\n", "\n", " ********************************************************************************\n", " Please avoid running ``setup.py`` directly.\n", " Instead, use pypa/build, pypa/installer or other\n", " standards-based tools.\n", "\n", " See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n", " ********************************************************************************\n", "\n", "!!\n", " self.initialize_options()\n", "/usr/local/lib/python3.12/dist-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.\n", "!!\n", "\n", " ********************************************************************************\n", " Please avoid running ``setup.py`` and ``easy_install``.\n", " Instead, use pypa/build, pypa/installer or other\n", " standards-based tools.\n", "\n", " See https://github.com/pypa/setuptools/issues/917 for details.\n", " ********************************************************************************\n", "\n", "!!\n", " self.initialize_options()\n", "running bdist_egg\n", "running egg_info\n", "creating pointops.egg-info\n", "writing pointops.egg-info/PKG-INFO\n", "writing dependency_links to pointops.egg-info/dependency_links.txt\n", "writing top-level names to pointops.egg-info/top_level.txt\n", "writing manifest file 'pointops.egg-info/SOURCES.txt'\n", "reading manifest file 'pointops.egg-info/SOURCES.txt'\n", "writing manifest file 'pointops.egg-info/SOURCES.txt'\n", "installing library code to build/bdist.linux-x86_64/egg\n", "running install_lib\n", "running build_ext\n", "W0207 02:16:40.188000 8621 torch/utils/cpp_extension.py:521] The detected CUDA version (12.5) has a minor version mismatch with the version that was used to compile PyTorch (12.6). Most likely this shouldn't be a problem.\n", "W0207 02:16:40.188000 8621 torch/utils/cpp_extension.py:531] There are no x86_64-linux-gnu-g++ version bounds defined for CUDA version 12.5\n", "building 'pointops_cuda' extension\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat\n", "creating /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling\n", "[1/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/grouping_int/grouping_int_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[2/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/knnquery_heap/knnquery_heap_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[3/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/featuredistribute/featuredistribute_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[4/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/interpolation/interpolation_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[5/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/ballquery/ballquery_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[6/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/grouping/grouping_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[7/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/knnquery/knnquery_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[8/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/labelstat/labelstat_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[9/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/sampling/sampling_cuda.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[10/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/knnquery/knnquery_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "/content/UniST/external/RepKPU_ops/models/pointops/src/knnquery/knnquery_cuda_kernel.cu(58): warning #177-D: variable \"err\" was declared but never referenced\n", " cudaError_t err;\n", " ^\n", "\n", "Remark: The warnings can be suppressed with \"-diag-suppress \"\n", "\n", "[11/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/interpolation/interpolation_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[12/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/ballquery/ballquery_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[13/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/grouping_int/grouping_int_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[14/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/featuredistribute/featuredistribute_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[15/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/grouping/grouping_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[16/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/knnquery_heap/knnquery_heap_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[17/19] c++ -MMD -MF /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/pointops_api.o.d -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/pointops_api.cpp -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/pointops_api.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -std=c++17\n", "[18/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/labelstat/labelstat_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "[19/19] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda_kernel.o.d -I/usr/local/lib/python3.12/dist-packages/torch/include -I/usr/local/lib/python3.12/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/usr/include/python3.12 -c -c /content/UniST/external/RepKPU_ops/models/pointops/src/sampling/sampling_cuda_kernel.cu -o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=pointops_cuda -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17\n", "creating build/lib.linux-x86_64-cpython-312\n", "x86_64-linux-gnu-g++ -fno-strict-overflow -Wsign-compare -DNDEBUG -g -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/ballquery/ballquery_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/featuredistribute/featuredistribute_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping/grouping_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/grouping_int/grouping_int_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/interpolation/interpolation_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery/knnquery_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/knnquery_heap/knnquery_heap_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/labelstat/labelstat_cuda_kernel.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/pointops_api.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda.o /content/UniST/external/RepKPU_ops/models/pointops/build/temp.linux-x86_64-cpython-312/src/sampling/sampling_cuda_kernel.o -L/usr/local/lib/python3.12/dist-packages/torch/lib -L/usr/local/cuda/lib64 -L/usr/lib/x86_64-linux-gnu -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-312/pointops_cuda.cpython-312-x86_64-linux-gnu.so\n", "creating build/bdist.linux-x86_64/egg\n", "copying build/lib.linux-x86_64-cpython-312/pointops_cuda.cpython-312-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg\n", "creating stub loader for pointops_cuda.cpython-312-x86_64-linux-gnu.so\n", "byte-compiling build/bdist.linux-x86_64/egg/pointops_cuda.py to pointops_cuda.cpython-312.pyc\n", "creating build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying pointops.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying pointops.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying pointops.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "copying pointops.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n", "writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt\n", "zip_safe flag not set; analyzing archive contents...\n", "__pycache__.pointops_cuda.cpython-312: module references __file__\n", "creating dist\n", "creating 'dist/pointops-0.0.0-py3.12-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n", "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n", "Processing pointops-0.0.0-py3.12-linux-x86_64.egg\n", "creating /usr/local/lib/python3.12/dist-packages/pointops-0.0.0-py3.12-linux-x86_64.egg\n", "Extracting pointops-0.0.0-py3.12-linux-x86_64.egg to /usr/local/lib/python3.12/dist-packages\n", "Adding pointops 0.0.0 to easy-install.pth file\n", "\n", "Installed /usr/local/lib/python3.12/dist-packages/pointops-0.0.0-py3.12-linux-x86_64.egg\n", "Processing dependencies for pointops==0.0.0\n", "Finished processing dependencies for pointops==0.0.0\n", "✓ pointops extension built successfully!\n", "\n", "============================================================\n", "✓ All CUDA extensions built successfully!\n", "============================================================\n" ] } ], "source": [ "!python setup_cuda_extensions.py" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The example data used for this tutorial can be downloaded from:\n", "\n", "https://drive.google.com/file/d/1hC2pSuEsCwW_TCbAeBSUV8uY9xaczJ8Y/view?usp=sharing\n", "\n", "and place under: `external/RepKPU_ops/dataset/`" ] }, { "cell_type": "markdown", "metadata": { "id": "JWl3VJ1x5WV5" }, "source": [ "#### The pre-trained weight can be downloaded from:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "https://drive.google.com/file/d/1af_de8YnG5eOAJaSDy1C5CmZRqaCCYb-/view\n", "\n", "and put under ./external/RepKPU_ops/pretrain/" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HrIa9AnY4nIZ", "outputId": "e46734a4-cbf1-4f11-9d0b-be19e424f3d1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ckpt-best.pth\n" ] } ], "source": [ "!ls external/RepKPU_ops/pretrain" ] }, { "cell_type": "markdown", "metadata": { "id": "TP-uNMHV50ta" }, "source": [ "#### Inputs should be .xyz" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "Wec3wF2O-Fyc", "outputId": "71dd5159-cd45-42e9-dc41-e4d2d337999c" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "file_path = \"external/RepKPU_ops/dataset/slice440.xyz\"\n", "\n", "points = []\n", "with open(file_path, 'r') as f:\n", " for line in f:\n", " parts = line.strip().split()\n", " if len(parts) >= 2:\n", " x, y = float(parts[0]), float(parts[1])\n", " points.append((x, y))\n", "\n", "points = np.array(points)\n", "n_points = points.shape[0]\n", "\n", "plt.figure(figsize=(6, 6))\n", "plt.scatter(points[:, 0], points[:, 1], s=1, alpha=0.5)\n", "plt.xlabel('X')\n", "plt.ylabel('Y')\n", "plt.title(f\"Authentic (slice 4400, {n_points} cells)\")\n", "plt.axis('equal')\n", "#plt.savefig('slice440.png', format='png', dpi=300)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "J-yNHuiz_4nm", "outputId": "a940bc8f-8e3b-4e5c-9372-c2d6396f479f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded compiled 3D CUDA chamfer distance\n", "\n", "============================================================\n", "Input Directory: /content/UniST/external/RepKPU_ops/dataset\n", "Directory exists: True\n", "Directory is absolute: True\n", "Directory contents (5 items):\n", " [FILE] slice440.xyz\n", " [FILE] dataset.py\n", " [FILE] utils.py\n", " [DIR] .ipynb_checkpoints\n", " [DIR] __pycache__\n", "\n", "Searching for .xyz files...\n", " Direct search: found 1 files\n", "============================================================\n", "\n", "=== Starting Flexible Scale Upsampling Test ===\n", "Found 1 files\n", "\n", "==================================================\n", "Processing file 1/1: slice440.xyz\n", "==================================================\n", "🔍 Step 1: Reading point cloud file...\n", " ✓ Successfully read 8382 points\n", " 📊 Point cloud shape: (8382, 3)\n", "\n", "🎯 Step 2: Calculating target point count...\n", " 📊 Input points: 8382\n", " 📈 Upsampling rate: 2.0\n", " 🎯 Target points: 16764\n", "\n", "⏭️ Step 3: Skipping GT loading (no_gt flag set)\n", "\n", "🔄 Step 4: Converting to PyTorch tensor...\n", " ✓ Converted to tensor: torch.Size([8382, 3])\n", " 📱 Device: cuda:0\n", " ✓ After rearrangement: torch.Size([1, 3, 8382])\n", "\n", "📏 Step 5: Normalizing point cloud...\n", " ✓ Normalization completed\n", " 📊 Normalized shape: torch.Size([1, 3, 8382])\n", " 📍 Centroid: [6298.135 9050.527 440. ]\n", " 📐 Furthest distance: 2572.282471\n", "\n", "🚀 Step 6: Executing model upsampling...\n", "/content/UniST/external/RepKPU_ops/models/pointops/functions/pointops.py:47: UserWarning: The torch.cuda.*DtypeTensor constructors are no longer recommended. It's best to use methods such as torch.tensor(data, dtype=*, device='cuda') to create tensors. (Triggered internally at /pytorch/torch/csrc/tensor/python_tensor.cpp:78.)\n", " idx = torch.cuda.IntTensor(b, m)\n", " ✓ Model upsampling completed: torch.Size([1, 3, 33528])\n", "\n", "🔄 Step 7: Denormalizing...\n", " ✓ Denormalization completed: torch.Size([1, 3, 33528])\n", "\n", "✂️ Step 8: Controlling output point count...\n", " 📊 Current point count: 33528\n", " 🎯 Target point count: 16764\n", " ✂️ Point count after trimming: 16764\n", "\n", "💾 Step 9: Preparing data for saving...\n", " ✓ Converted to numpy: (16764, 3)\n", " 🔢 Data type: float32\n", " 🔍 NaN count: 0\n", " 🔍 Inf count: 0\n", "\n", "📁 Step 10: Creating save directory...\n", " 📂 Target directory: /content/UniST/external/RepKPU_ops/result/xyz\n", " ✓ Directory created successfully\n", "\n", "💾 Step 11: Saving file...\n", " 📄 Output path: /content/UniST/external/RepKPU_ops/result/xyz/slice440.xyz\n", " 🔄 Starting file write...\n", " ✓ File write completed\n", " ✅ File verification successful! Size: 589299 bytes\n", " ✅ File content verification: (16764, 3)\n", "\n", "📊 Step 12: Calculating evaluation metrics...\n", " ⏭️ Skipping evaluation (no GT)\n", "\n", "✅ File slice440.xyz processing completed!\n", "\n", "============================================================\n", "Processing completed! Successfully processed 1.0 files\n", "============================================================\n", "Average Chamfer distance: 0.000000\n", "📄 Results saved to: /content/UniST/external/RepKPU_ops/result/cd.txt\n" ] } ], "source": [ "!python -m upsampling.test_upsampling \\\n", " --dataset pugan \\\n", " --input_dir /content/UniST/external/RepKPU_ops/dataset \\\n", " --ckpt /content/UniST/external/RepKPU_ops/pretrain/ckpt-best.pth \\\n", " --r 2 \\\n", " --save_dir /content/UniST/external/RepKPU_ops/result \\\n", " --flexible \\\n", " --no_gt" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "CML4iNA1ERMW", "outputId": "95976b14-a2e7-456c-eb62-fa44b1dcf745" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "### visualization the results\n", "file_path = \"external/RepKPU_ops/result/xyz/slice440.xyz\"\n", "\n", "points = []\n", "with open(file_path, 'r') as f:\n", " for line in f:\n", " parts = line.strip().split()\n", " if len(parts) >= 2:\n", " x, y = float(parts[0]), float(parts[1])\n", " points.append((x, y))\n", "\n", "points = np.array(points)\n", "n_points = points.shape[0]\n", "\n", "plt.figure(figsize=(6, 6))\n", "plt.scatter(points[:, 0], points[:, 1], s=1, alpha=0.5)\n", "plt.xlabel('X')\n", "plt.ylabel('Y')\n", "plt.title(f\"Upsampling, r=2 (slice 440, {n_points} cells)\")\n", "plt.axis('equal')\n", "#plt.savefig('slice440_r2.png', format='png', dpi=300)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "yE1fCLDJESQB" }, "source": [ "### Flexible upsampling rate" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "o1520eS_5sIB", "outputId": "78ea722f-f5fc-4e1f-d131-4f87a64dbe86" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded compiled 3D CUDA chamfer distance\n", "\n", "============================================================\n", "Input Directory: /content/UniST/external/RepKPU_ops/dataset\n", "Directory exists: True\n", "Directory is absolute: True\n", "Directory contents (5 items):\n", " [FILE] slice440.xyz\n", " [FILE] dataset.py\n", " [FILE] utils.py\n", " [DIR] .ipynb_checkpoints\n", " [DIR] __pycache__\n", "\n", "Searching for .xyz files...\n", " Direct search: found 1 files\n", "============================================================\n", "\n", "=== Starting Flexible Scale Upsampling Test ===\n", "Found 1 files\n", "\n", "==================================================\n", "Processing file 1/1: slice440.xyz\n", "==================================================\n", "🔍 Step 1: Reading point cloud file...\n", " ✓ Successfully read 8382 points\n", " 📊 Point cloud shape: (8382, 3)\n", "\n", "🎯 Step 2: Calculating target point count...\n", " 📊 Input points: 8382\n", " 📈 Upsampling rate: 1.3\n", " 🎯 Target points: 10896\n", "\n", "⏭️ Step 3: Skipping GT loading (no_gt flag set)\n", "\n", "🔄 Step 4: Converting to PyTorch tensor...\n", " ✓ Converted to tensor: torch.Size([8382, 3])\n", " 📱 Device: cuda:0\n", " ✓ After rearrangement: torch.Size([1, 3, 8382])\n", "\n", "📏 Step 5: Normalizing point cloud...\n", " ✓ Normalization completed\n", " 📊 Normalized shape: torch.Size([1, 3, 8382])\n", " 📍 Centroid: [6298.135 9050.527 440. ]\n", " 📐 Furthest distance: 2572.282471\n", "\n", "🚀 Step 6: Executing model upsampling...\n", "/content/UniST/external/RepKPU_ops/models/pointops/functions/pointops.py:47: UserWarning: The torch.cuda.*DtypeTensor constructors are no longer recommended. It's best to use methods such as torch.tensor(data, dtype=*, device='cuda') to create tensors. (Triggered internally at /pytorch/torch/csrc/tensor/python_tensor.cpp:78.)\n", " idx = torch.cuda.IntTensor(b, m)\n", " ✓ Model upsampling completed: torch.Size([1, 3, 33528])\n", "\n", "🔄 Step 7: Denormalizing...\n", " ✓ Denormalization completed: torch.Size([1, 3, 33528])\n", "\n", "✂️ Step 8: Controlling output point count...\n", " 📊 Current point count: 33528\n", " 🎯 Target point count: 10896\n", " ✂️ Point count after trimming: 10896\n", "\n", "💾 Step 9: Preparing data for saving...\n", " ✓ Converted to numpy: (10896, 3)\n", " 🔢 Data type: float32\n", " 🔍 NaN count: 0\n", " 🔍 Inf count: 0\n", "\n", "📁 Step 10: Creating save directory...\n", " 📂 Target directory: /content/UniST/external/RepKPU_ops/result/xyz\n", " ✓ Directory created successfully\n", "\n", "💾 Step 11: Saving file...\n", " 📄 Output path: /content/UniST/external/RepKPU_ops/result/xyz/slice440.xyz\n", " 🔄 Starting file write...\n", " ✓ File write completed\n", " ✅ File verification successful! Size: 383157 bytes\n", " ✅ File content verification: (10896, 3)\n", "\n", "📊 Step 12: Calculating evaluation metrics...\n", " ⏭️ Skipping evaluation (no GT)\n", "\n", "✅ File slice440.xyz processing completed!\n", "\n", "============================================================\n", "Processing completed! Successfully processed 1.0 files\n", "============================================================\n", "Average Chamfer distance: 0.000000\n", "📄 Results saved to: /content/UniST/external/RepKPU_ops/result/cd.txt\n" ] } ], "source": [ "### upsampling rate = 1.3\n", "\n", "!python -m upsampling.test_upsampling \\\n", " --dataset pugan \\\n", " --input_dir /content/UniST/external/RepKPU_ops/dataset \\\n", " --ckpt /content/UniST/external/RepKPU_ops/pretrain/ckpt-best.pth \\\n", " --r 1.3 \\\n", " --save_dir /content/UniST/external/RepKPU_ops/result \\\n", " --flexible \\\n", " --no_gt" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "59ipq-4n6_0_", "outputId": "329061cb-8f91-41c2-8b5f-a7a8a3e33c48" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "### visualization the results\n", "file_path = \"external/RepKPU_ops/result/xyz/slice440.xyz\"\n", "\n", "points = []\n", "with open(file_path, 'r') as f:\n", " for line in f:\n", " parts = line.strip().split()\n", " if len(parts) >= 2:\n", " x, y = float(parts[0]), float(parts[1])\n", " points.append((x, y))\n", "\n", "points = np.array(points)\n", "n_points = points.shape[0]\n", "\n", "plt.figure(figsize=(6, 6))\n", "plt.scatter(points[:, 0], points[:, 1], s=1, alpha=0.5)\n", "plt.xlabel('X')\n", "plt.ylabel('Y')\n", "plt.title(f\"Upsampling, r=1.3 (slice 440, {n_points} cells)\")\n", "plt.axis('equal')\n", "#plt.savefig('slice440_r1.3.png', format='png', dpi=300)\n", "plt.show()" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "L4", "machine_shape": "hm", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 0 }