UnavailableInvalidChannel: The channel is not accessible or is invalid.

[Shegun93]

Hi thanks for this repo. I was following the installation however when i go conda install -c bioconda google-sparsehash i got an error here's the log Collecting package metadata (current_repodata.json): failed

UnavailableInvalidChannel: The channel is not accessible or is invalid. channel name: bioconda channel url: https://conda.anaconda.org/bioconda error code: 404

You will need to adjust your conda configuration to proceed. Use conda config --show channels to view your configuration's current state, and use conda config --show-sources to view config file locations.

[Sekunde]

Hi, I can not reproduce your issue, please make sure your internet connection works for the bioconda channel.

my log: (base) rohan :: ~ » conda install -c bioconda google-sparsehash Collecting package metadata (current_repodata.json): done Solving environment: - The environment is inconsistent, please check the package plan carefully The following packages are causing the inconsistenc\

• defaults/linux-64::jupyter==1.0.0=py38_7
• defaults/noarch::nltk==3.5=py_0
• defaults/linux-64::conda-build==3.18.11=py38_0
• defaults/linux-64::mkl_fft==1.1.0=py38h23d657b_0
• defaults/linux-64::matplotlib==3.2.2=0

[Shegun93]

Hi Sekunde, thanks for the help, I have been able to solve that and moved past it however, I have a new challenge I will appreciate you help me take a look.

while trying to run the code python setup.py build_ext --include-dirs=YOUR_ENV_PATH/include I do not specifically understand what you meant by [YOUR_ENV_PATH/include] are you talking about my cuda path or a virtual environment created for it. I tried the two here's is the error

my log (sparseconv043) segun@segun-HP-Pavilion-Notebook:~/downstream/insseg/lib/bfs/ops$ python setup.py build_ext --include-dirs=/anaconda3/envs/sparseconv043/include No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' running build_ext building 'PG_OP' extension Traceback (most recent call last): File "setup.py", line 12, in cmdclass={'build_ext': BuildExtension} File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/init.py", line 153, in setup return distutils.core.setup(**attrs) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/core.py", line 148, in setup dist.run_commands() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 966, in run_commands self.run_command(cmd) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 79, in run _build_ext.run(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 340, in run self.build_extensions() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 603, in build_extensions build_ext.build_extensions(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 449, in build_extensions self._build_extensions_serial() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 474, in _build_extensions_serial self.build_extension(ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 202, in build_extension _build_ext.build_extension(self, ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 534, in build_extension depends=ext.depends) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 423, in unix_wrap_ninja_compile cuda_post_cflags = unix_cuda_flags(cuda_post_cflags) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 337, in unix_cuda_flags cflags + _get_cuda_arch_flags(cflags)) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1325, in _get_cuda_arch_flags capability = torch.cuda.get_device_capability() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 273, in get_device_capability prop = get_device_properties(device) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 278, in get_device_properties _lazy_init() # will define _get_device_properties and _CudaDeviceProperties File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 149, in _lazy_init _check_driver() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 63, in _check_driver of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion()))) AssertionError: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version

please how do I navigate through it. once again thank you

[Sekunde]

Hi, I mean the virtual environment path created for it, e.g., in my case it looks like this:

python setup.py build_ext --include-dirs=/rhome/jhou/.local/anaconda3/envs/sparseconv043/include

[Shegun93]

Thanks so much for the prompt response. I tried to run the python script again but gotten the same error.

here's log

(sparseconv043) segun@segun-HP-Pavilion-Notebook:~/downstream/insseg/lib/bfs/ops$ python setup.py build_ext --include-dirs=/anaconda3/envs/sparseconv043/include No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' running build_ext building 'PG_OP' extension Traceback (most recent call last): File "setup.py", line 12, in cmdclass={'build_ext': BuildExtension} File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/init.py", line 153, in setup return distutils.core.setup(**attrs) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/core.py", line 148, in setup dist.run_commands() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 966, in run_commands self.run_command(cmd) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 79, in run _build_ext.run(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 340, in run self.build_extensions() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 603, in build_extensions build_ext.build_extensions(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 449, in build_extensions self._build_extensions_serial() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 474, in _build_extensions_serial self.build_extension(ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 202, in build_extension _build_ext.build_extension(self, ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 534, in build_extension depends=ext.depends) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 423, in unix_wrap_ninja_compile cuda_post_cflags = unix_cuda_flags(cuda_post_cflags) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 337, in unix_cuda_flags cflags + _get_cuda_arch_flags(cflags)) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1325, in _get_cuda_arch_flags capability = torch.cuda.get_device_capability() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 273, in get_device_capability prop = get_device_properties(device) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 278, in get_device_properties _lazy_init() # will define _get_device_properties and _CudaDeviceProperties File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 149, in _lazy_init _check_driver() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 63, in _check_driver of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion()))) AssertionError: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.

CUDA version nvcc -V (sparseconv043) segun@segun-HP-Pavilion-Notebook:~/downstream/insseg/lib/bfs/ops$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Sun_Jul_28_19:07:16_PDT_2019 Cuda compilation tools, release 10.1, V10.1.243

nvidia-smi

Fri Nov 12 14:38:06 2021
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.226.00 Driver Version: 418.226.00 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 960M Off | 00000000:01:00.0 Off | N/A | | N/A 49C P5 N/A / N/A | 375MiB / 4043MiB | 2% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1106 G /usr/lib/xorg/Xorg 24MiB | | 0 1323 G /usr/bin/gnome-shell 48MiB | | 0 3346 G /usr/lib/xorg/Xorg 117MiB | | 0 3527 G /usr/bin/gnome-shell 79MiB | | 0 6223 G ...AAgAAAAAAAAACAAAAAAAAAA= --shared-files 100MiB | +-----------------------------------------------------------------------------+

[Shegun93]

Thanks so much for the prompt response. I tried to run the python script again but gotten the same error.

here's log

(sparseconv043) segun@segun-HP-Pavilion-Notebook:~/downstream/insseg/lib/bfs/ops$ python setup.py build_ext --include-dirs=/anaconda3/envs/sparseconv043/include No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' running build_ext building 'PG_OP' extension Traceback (most recent call last): File "setup.py", line 12, in cmdclass={'build_ext': BuildExtension} File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/init.py", line 153, in setup return distutils.core.setup(attrs) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/core.py", line 148, in setup dist.run_commands() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 966, in run_commands self.run_command(cmd) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 79, in run _build_ext.run(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 340, in run self.build_extensions() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 603, in build_extensions build_ext.build_extensions(self) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 449, in build_extensions self._build_extensions_serial() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 474, in _build_extensions_serial self.build_extension(ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 202, in build_extension _build_ext.build_extension(self, ext) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/distutils/command/build_ext.py", line 534, in build_extension depends=ext.depends) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 423, in unix_wrap_ninja_compile cuda_post_cflags = unix_cuda_flags(cuda_post_cflags) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 337, in unix_cuda_flags cflags + _get_cuda_arch_flags(cflags)) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1325, in _get_cuda_arch_flags capability = torch.cuda.get_device_capability() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 273, in get_device_capability prop = get_device_properties(device) File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 278, in get_device_properties _lazy_init() # will define _get_device_properties and _CudaDeviceProperties File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init.py", line 149, in _lazy_init _check_driver() File "/home/segun/anaconda3/envs/sparseconv043/lib/python3.7/site-packages/torch/cuda/init**.py", line 63, in _check_driver of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion()))) AssertionError: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.

CUDA version nvcc -V (sparseconv043) segun@segun-HP-Pavilion-Notebook:~/downstream/insseg/lib/bfs/ops$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Sun_Jul_28_19:07:16_PDT_2019 Cuda compilation tools, release 10.1, V10.1.243

nvidia-smi

Fri Nov 12 14:38:06 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.226.00 Driver Version: 418.226.00 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 960M Off | 00000000:01:00.0 Off | N/A | | N/A 49C P5 N/A / N/A | 375MiB / 4043MiB | 2% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1106 G /usr/lib/xorg/Xorg 24MiB | | 0 1323 G /usr/bin/gnome-shell 48MiB | | 0 3346 G /usr/lib/xorg/Xorg 117MiB | | 0 3527 G /usr/bin/gnome-shell 79MiB | | 0 6223 G ...AAgAAAAAAAAACAAAAAAAAAA= --shared-files 100MiB | +-----------------------------------------------------------------------------+

please help me look into it. i followed the installation up till where im now

[Sekunde]

Hi, it seems your Nvidia driver is too old, please upgrade it. And with GTX960M (4g mem,) you may not be able to even load the model, maybe you can consider using a larger GPU.