Sohee

> so how to solve it？please reference https://cgcvtutorials.wordpress.com/2017/05/31/install-mitsuba-on-linux-16-04/ SOLUTION: modify « src/bsdfs/irawan.h » : Line : #if BOOST_VERSION >= 106000 Becomes : #if BOOST_VERSION >= 105800 RE : http://stackoverflow.com/questions/3680 In...

Change _**mitsuba/src/bsdfs/irawan.h**_ to [https://github.com/shi-jian/mitsuba-shapenet/blob/master/src/bsdfs/irawan.h](url)

@ibrahimsoliman97 Can I see your code?

in my case, cuda version = 10.0 `conda install -c conda-forge cupy==7.8.0 cudatoolkit=10.0`

https://github.com/optas/latent_3d_points/issues/21 ``` import tensorflow as tf print(tf.sysconfig.get_compile_flags(),'\n') print(tf.sysconfig.get_link_flags()) ``` In my case, output: ``` ['-I/home/sohee/anaconda3/envs/py3/lib/python3.6/site-packages/tensorflow/include', '-D_GLIBCXX_USE_CXX11_ABI=1'] ['-L/home/sohee/anaconda3/envs/py3/lib/python3.6/site-packages/tensorflow', '-l:libtensorflow_framework.so.1'] ``` make `~/pointnet-autoencoder/tf_ops/tf_compile.sh` ``` CUDA_ROOT=/usr/local/cuda-10.0 TF_INC=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_include())')...

same issue

I use `tf 1.1 cuda 10.0 python 3.6` > latent_3d_points/external/structural_losses tf_nndistance_compile.sh ``` CUDA_ROOT=/usr/local/cuda-10.0 TF_ROOT=/home/user/.local/lib/python3.6/site-packages/tensorflow TF_INC=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_include())') # /home/username/anaconda3/envs/py36_gpu/lib/python3.6/site-packages/tensorflow/include TF_LIB=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_lib())')...

Can you check if I modified the config.py appropriately? ``` # input and layer params self.z_size = 128 # self.N = [128, 128, 256, 512, 1024, 2048, 2048] self.N =...

> Hi @WangZixuan @pclucas14 @tejaskhot > > The memory leak problem is caused by incorrect use of Pytorch 0.4. > > In the file functions/nnd.py, we should not use "self"...