Can't install using pip

[adesgautam]

I am using pytorch version '1.5.0+cu101' and CUDA 10.1.
I am running this on Google Collab.

I am getting the following error:

running install
running bdist_egg
running egg_info
creating neural_renderer_pytorch.egg-info
writing neural_renderer_pytorch.egg-info/PKG-INFO
writing dependency_links to neural_renderer_pytorch.egg-info/dependency_links.txt
writing top-level names to neural_renderer_pytorch.egg-info/top_level.txt
writing manifest file 'neural_renderer_pytorch.egg-info/SOURCES.txt'
/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py:304: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
warnings.warn(msg.format('we could not find ninja.'))
writing manifest file 'neural_renderer_pytorch.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
creating build
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/load_obj.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/init.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/mesh.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/get_points_from_angles.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/perspective.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/save_obj.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/look.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/look_at.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/vertices_to_faces.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/lighting.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/projection.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/rasterize.py -> build/lib.linux-x86_64-3.6/neural_renderer
copying neural_renderer/renderer.py -> build/lib.linux-x86_64-3.6/neural_renderer
creating build/lib.linux-x86_64-3.6/neural_renderer/cuda
copying neural_renderer/cuda/init.py -> build/lib.linux-x86_64-3.6/neural_renderer/cuda
running build_ext
building 'neural_renderer.cuda.load_textures' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/neural_renderer
creating build/temp.linux-x86_64-3.6/neural_renderer/cuda
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c neural_renderer/cuda/load_textures_cuda.cpp -o build/temp.linux-x86_64-3.6/neural_renderer/cuda/load_textures_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=load_textures -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
neural_renderer/cuda/load_textures_cuda.cpp: In function ‘at::Tensor load_textures(at::Tensor, at::Tensor, at::Tensor, at::Tensor, int, int)’:
neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:28:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(image);
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
from neural_renderer/cuda/load_textures_cuda.cpp:1:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
neural_renderer/cuda/load_textures_cuda.cpp:15:23: error: ‘AT_CHECK’ was not declared in this scope
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:15:23: note: in definition of macro ‘CHECK_CUDA’
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:28:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(image);
^
neural_renderer/cuda/load_textures_cuda.cpp:15:23: note: suggested alternative: ‘DCHECK’
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:15:23: note: in definition of macro ‘CHECK_CUDA’
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:28:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(image);
^
neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:29:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(faces);
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
from neural_renderer/cuda/load_textures_cuda.cpp:1:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:30:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(is_update);
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
from neural_renderer/cuda/load_textures_cuda.cpp:1:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
^
neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
neural_renderer/cuda/load_textures_cuda.cpp:31:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(textures);
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
from neural_renderer/cuda/load_textures_cuda.cpp:1:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

[qiangcraft]

Same problem. I wonder if you have solved it.

[adambielski]

Happens to me too with PyTorch 1.5, works with PyTorch 1.4. Also looking for a solution.

[adambielski]

You can check out this pull request to install with PyTorch 1.5: #86

[Flock1]

Hi,

I am getting the following error:

OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.

So I wanted to ask if all I need to is to add the variable in .bashrv file, right?

[hongsukchoi]

@adambielski
Thank you. After cloning the source code, I fixed the code according to #86 .
It worked!

[liDonginter]

Successfully installed. anaconda environment, pytorch=1.2, cudatoolkit=9.2, cuda=9.2, gcc=7.5, g++=7.5

[ALLinLLM]

You can check out this pull request to install with PyTorch 1.5: #86

Thanks! After replace "AT_CHECK" with "TORCH_CHECK" in the source file, It worked with ubuntu18.04 gcc 7.5.0 python3.6 pytorch1.2.0 cuda 10.0.