craigleili / 3dlocalmultiviewdesc Goto Github PK

Thank you so much for sharing the well-organized code. I have a question about how to render a depth image of a complete point cloud. I notice that your code just renders a local depth image of a point in the point cloud. How do I change the code if I want to render the complete point cloud?
SoftRasterizeFunc.apply(mvp_mat, vertices, radii * self.radius_ratio, colors,
self.sigma, self.gamma, self.dist_ratio, self.znear,
self.zfar, self.tan_half_fov, self.image_size,
compute_weight, False, True)
My understanding is that the first three parameters are more important:

1. 8 views.
2. The entire point cloud.
3. I can't understand this parameter, how should I modify it?

Hi , thank you for your last reply. Now,I have a new question about "cloud_bin_.keypts.npy".
I run this code :
python main_mvdesc.py test configs/ours_3dmatch.yaml
The problem is :
FileNotFoundError: [Errno 2] No such file or directory: '../../3DMatch_test/7-scenes-redkitchen/seq-01/cloud_bin_0.keypts.npy'
How do I generate the file cloud_bin_.keypts.npy? I seemed to can not find the file to generate it.
Oh, one more question, what is the 'desc_types' in eval_geomreg_3dmatch.py in evaluation folder? Is it a path?
Looking forward your reply.
Best wish.

Hi Lei Li,

Really thanks for sharing your wonderful works.

I have an issue on compiling the soft_renderer.
When I tried to initialize MultiViewRenderer class, I got following errors.

ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py", line 1515, in _run_ninja_build
env=env)
File "/usr/lib/python3.6/subprocess.py", line 438, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "transform.py", line 18, in
from soft_renderer.cuda.jit import soft_rasterize_cuda as src
File "/host_temp/codes/cqcpu/point_backends/learnable_viewpoint/soft_renderer/cuda/jit.py", line 9, in
verbose=True)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py", line 974, in load
keep_intermediates=keep_intermediates)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py", line 1179, in _jit_compile
with_cuda=with_cuda)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py", line 1279, in _write_ninja_file_and_build_library
error_prefix="Error building extension '{}'".format(name))
File "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py", line 1529, in _run_ninja_build
raise RuntimeError(message)
RuntimeError: Error building extension 'soft_rasterize_cuda'

I tried within both my local machine and a docker container that you provided but in both environment same errors occured.

Do you have any idea on this issue ?

Thanks.

Hi,I would like to make some experimental comparisons according to your work. Could you give me the Feat Macthing Ratio from 0.00 to 0.20? The results I run by myself may not meet the requirements of the results you run, so I hope you can give me, thank you.

Looking forward your reply.

Hi,When I run this code, I have the following problem:

/home/ls/anaconda3/envs/qwt_py38/bin/python /home/qwt/code/3DLocalMultiViewDesc-master/scripts/main_mvdesc.py
Using /home/qwt/.cache/torch_extensions as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/qwt/.cache/torch_extensions/soft_rasterize_cuda/build.ninja...
Building extension module soft_rasterize_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/3] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output soft_rasterize_cuda_kernel.cuda.o.d -DTORCH_EXTENSION_NAME=soft_rasterize_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/TH -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/ls/anaconda3/envs/qwt_py38/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -std=c++14 -c /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda_kernel.cu -o soft_rasterize_cuda_kernel.cuda.o
FAILED: soft_rasterize_cuda_kernel.cuda.o
/usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output soft_rasterize_cuda_kernel.cuda.o.d -DTORCH_EXTENSION_NAME=soft_rasterize_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/TH -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/ls/anaconda3/envs/qwt_py38/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -std=c++14 -c /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda_kernel.cu -o soft_rasterize_cuda_kernel.cuda.o
nvcc fatal : Unsupported gpu architecture 'compute_86'
[2/3] c++ -MMD -MF soft_rasterize_cuda.o.d -DTORCH_EXTENSION_NAME=soft_rasterize_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/TH -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/ls/anaconda3/envs/qwt_py38/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++14 -c /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp -o soft_rasterize_cuda.o
FAILED: soft_rasterize_cuda.o
c++ -MMD -MF soft_rasterize_cuda.o.d -DTORCH_EXTENSION_NAME=soft_rasterize_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/TH -isystem /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/ls/anaconda3/envs/qwt_py38/include/python3.6m -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++14 -c /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp -o soft_rasterize_cuda.o
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp: In function ‘void soft_rasterize_forward(at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, float, float, float, float, float, float, int, bool, bool, bool, at::Tensor, at::Tensor, at::Tensor, at::Tensor)’:
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:79:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:23: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:79:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:23: note: suggested alternative: ‘DCHECK’
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x, " must be a CUDA tensor")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:79:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:80:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(vertices);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:81:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(radii);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:82:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(colors);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:83:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(locks);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:84:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(weights);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:85:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(color_map);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:86:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(depth_map);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:87:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(pseudo_depth_map);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp: In function ‘void soft_rasterize_backward(at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, at::Tensor, float, float, float, float, float, float, int, bool, bool, at::Tensor)’:
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:132:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:23: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:132:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:23: note: suggested alternative: ‘DCHECK’
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x, " must be a CUDA tensor")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:132:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(mvps);
^~~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:133:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(vertices);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:134:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(colors);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:135:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(weights);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:136:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(grad_color_map);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:137:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(grad_depth_map);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:51:39: 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")
^
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:53:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^~~~~~~~~~
/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:138:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(grad_mvps);
^~~~~~~~~~~
In file included from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/soft_rasterize_cuda.cpp:1:
/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1673, in _run_ninja_build
env=env)
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/subprocess.py", line 438, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/qwt/code/3DLocalMultiViewDesc-master/scripts/main_mvdesc.py", line 21, in
from models.mvdesc import RenderModel, MV_MODELS
File "/home/qwt/code/3DLocalMultiViewDesc-master/models/mvdesc.py", line 18, in
from soft_renderer.transform import MultiViewRenderer
File "/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/transform.py", line 17, in
from soft_renderer.cuda.jit import soft_rasterize_cuda as src
File "/home/qwt/code/3DLocalMultiViewDesc-master/soft_renderer/cuda/jit.py", line 8, in
verbose=True)
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1091, in load
keep_intermediates=keep_intermediates)
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1302, in _jit_compile
is_standalone=is_standalone)
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1407, in _write_ninja_file_and_build_library
error_prefix=f"Error building extension '{name}'")
File "/home/ls/anaconda3/envs/qwt_py38/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1683, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error building extension 'soft_rasterize_cuda'

What should I do about it?Thank you.

the error is " UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. "
my torch version is the same as the "requirements" . when i reduce torch version, another error is appeared, "no module named torch.utils.tensorbard" ,

Hello author, I don't understand the soft-view pooling in the paper. Can you provide some reference materials?
For example, the encoder-decoder is used in the paper to get the weight. I have no relevant knowledge, so I don't know how to get it.

Hi, I'm having trouble running python main_mvdesc.py train configs/ours_3dmatch.yaml
Using /home/ghj108/.cache/torch_extensions as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/ghj108/.cache/torch_extensions/soft_rasterize_cuda/build.ninja...
Building extension module soft_rasterize_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
1.10.1
Loading extension module soft_rasterize_cuda...
Traceback (most recent call last):
File "jit.py", line 8, in
verbose=True)
File "/mnt/data0/miniconda3/envs/tf_torch/3DLocal/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1091, in load
keep_intermediates=keep_intermediates)
File "/mnt/data0/miniconda3/envs/tf_torch/3DLocal/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1317, in _jit_compile
return _import_module_from_library(name, build_directory, is_python_module)
File "/mnt/data0/miniconda3/envs/tf_torch/3DLocal/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1699, in _import_module_from_library
file, path, description = imp.find_module(module_name, [path])
File "/mnt/data0/miniconda3/envs/tf_torch/3DLocal/lib/python3.6/imp.py", line 297, in find_module
raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'soft_rasterize_cuda'
Can you give me an answer, thank you.
My compilation environment：
python 3.6.12
torch 1.8.1+cu111
torchvision 0.9.1+cu111