Sudharshan Suresh suddhu
suddhu
/ pytorch_minkowski_conda.sh
Last active
September 13, 2022 14:18
PyTorch + CUDA + MinkowskiEngine setup
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| conda install pytorch=1.8.1 torchvision cudatoolkit=10.1 -c pytorch -c conda-forge | |
| export CXX=g++-7 | |
| export CUDA_HOME=/usr # verify CUDA location via $CUDA_HOME/nvcc --version | |
| pip install -U git+https://github.com/NVIDIA/MinkowskiEngine -v --no-deps --install-option="--blas_include_dirs=${CONDA_PREFIX}/include" --install-option="--blas=openblas" |
suddhu
/ n_sphere_euclidean_test.py
Created
March 16, 2022 20:29
Computing average pairwise L2 distances over unit n-sphere (while varying n)
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| import numpy as np | |
| from sklearn.metrics.pairwise import euclidean_distances | |
| import matplotlib.pyplot as plt | |
| import tqdm | |
| def sample_spherical(npoints, ndim=3): | |
| vec = np.random.randn(npoints, ndim) | |
| vec /= np.linalg.norm(vec, axis = 1, keepdims = True) | |
| return vec |
suddhu
/ poly_regularizer.py
Created
November 20, 2019 18:43
Python script that optimizes an input 2D point set to a regular n-sided polygon
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| #!/usr/bin/env python | |
| # Sudharshan Suresh, Wei Dong, Nov 2019 | |
| # Given input ordered point set, regularize the polygon | |
| import torch | |
| import torch.nn as nn | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import matplotlib |
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