meder411 / pytorch-emdloss Goto Github PK

I'm using PyTorch 1.7 + cuda 11. When I run python setup.py install, this is the long ninja error.
I don't know what caused this. Is it because my cuda and pytorch are too new? How can I solve this?

running install
running bdist_egg
running egg_info
writing PyTorch_EMD.egg-info/PKG-INFO
writing dependency_links to PyTorch_EMD.egg-info/dependency_links.txt
writing top-level names to PyTorch_EMD.egg-info/top_level.txt
reading manifest file 'PyTorch_EMD.egg-info/SOURCES.txt'
writing manifest file 'PyTorch_EMD.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
running build_ext
building 'emd' extension
Emitting ninja build file /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/2] /usr/local/cuda-11.1/bin/nvcc --generate-dependencies-with-compile --dependency-output /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/cuda/emd.o.d -I/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/TH -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-11.1/include -I/home/wangweijia/anaconda3/envs/pcrnet/include/python3.6m -c -c /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/cuda/emd.cu -o /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/cuda/emd.o -D__CUDA_NO_HALF_OPERATORS_ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++14
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh(39): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
detected during instantiation of "void approx_match_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, T *, T *) [with T=float]"
(237): here

/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh(262): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
detected during instantiation of "void match_cost_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, const T *, T *) [with T=float]"
(318): here

/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh(342): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
detected during instantiation of "void match_cost_grad2_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, const T *, T *) [with T=float]"
(444): here

/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:43: 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]
AT_DISPATCH_FLOATING_TYPES(match.type(), "approx_match_kernel", ([&] {
^
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:1: note: declared here
DeprecatedTypeProperties & type() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:98: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Dispatch.h:109:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:920: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:945: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:971: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:996: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:1807: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:1831: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:1856: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:237:1880: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:42: 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]
AT_DISPATCH_FLOATING_TYPES(xyz1.type(), "match_cost_kernel", ([&] {
^
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:1: note: declared here
DeprecatedTypeProperties & type() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:97: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Dispatch.h:109:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:961: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:986: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1012: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1036: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1889: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1913: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1938: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:318:1961: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:42: 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]
AT_DISPATCH_FLOATING_TYPES(xyz1.type(), "match_cost_grad1_kernel", ([&] {
^
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:1: note: declared here
DeprecatedTypeProperties & type() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:97: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Dispatch.h:109:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:885: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:910: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:936: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:962: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:1739: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:1763: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:1788: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:434:1813: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:42: 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]
AT_DISPATCH_FLOATING_TYPES(xyz1.type(), "match_cost_grad2_kernel", ([&] {
^
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:1: note: declared here
DeprecatedTypeProperties & type() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:97: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Dispatch.h:109:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:929: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:954: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:980: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:1006: warning: ‘T* at::Tensor::data() const [with T = double]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh: In lambda function:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:1827: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:1851: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:1876: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda/emd.cuh:444:1901: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:395:1: note: declared here
T * data() const {
^
[2/2] c++ -MMD -MF /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/emd.o.d -pthread -B /home/wangweijia/anaconda3/envs/pcrnet/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/TH -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-11.1/include -I/home/wangweijia/anaconda3/envs/pcrnet/include/python3.6m -c -c /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp -o /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/emd.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
FAILED: /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/emd.o
c++ -MMD -MF /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/emd.o.d -pthread -B /home/wangweijia/anaconda3/envs/pcrnet/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/TH -I/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-11.1/include -I/home/wangweijia/anaconda3/envs/pcrnet/include/python3.6m -c -c /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp -o /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/build/temp.linux-x86_64-3.6/pkg/src/emd.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Parallel.h:140:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:13,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ParallelOpenMP.h:83:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
#pragma omp parallel for if ((end - begin) >= grain_size)
^
In file included from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:7:0,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h: In function ‘std::vectorat::Tensor emd_forward(at::Tensor, at::Tensor)’:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:12:39: 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(),
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:29:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz1);
^
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^
In file included from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:7:0,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:13:29: error: ‘AT_CHECK’ was not declared in this scope
#x " must be a CUDA tensor")
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:29:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz1);
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:12:39: 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(),
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:30:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz2);
^
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^
In file included from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:7:0,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h: In function ‘std::vectorat::Tensor emd_backward(at::Tensor, at::Tensor, at::Tensor)’:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:12:39: 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(),
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:40:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz1);
^
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^
In file included from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:7:0,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:13:29: error: ‘AT_CHECK’ was not declared in this scope
#x " must be a CUDA tensor")
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:40:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz1);
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:12:39: 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(),
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:41:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(xyz2);
^
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
DeprecatedTypeProperties & type() const {
^
In file included from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:7:0,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:12:39: 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(),
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/cuda_helper.h:16:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
^
/home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:42:2: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(match);
^
In file included from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Tensor.h:3:0,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/Context.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/ATen/ATen.h:9,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/include/torch/extension.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/include/emd.h:4,
from /home/wangweijia/Desktop/Projects/PyTorch-EMDLoss-master/pkg/src/emd.cpp:1:
/home/wangweijia/anaconda3/envs/pcrnet/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/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1673, in _run_ninja_build
env=env)
File "/home/wangweijia/anaconda3/envs/pcrnet/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 "setup.py", line 28, in
cmdclass={'build_ext': BuildExtension},
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/init.py", line 153, in setup
return distutils.core.setup(**attrs)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/core.py", line 148, in setup
dist.run_commands()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/dist.py", line 955, in run_commands
self.run_command(cmd)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/dist.py", line 974, in run_command
cmd_obj.run()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/install.py", line 67, in run
self.do_egg_install()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/install.py", line 109, in do_egg_install
self.run_command('bdist_egg')
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/dist.py", line 974, in run_command
cmd_obj.run()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/bdist_egg.py", line 164, in run
cmd = self.call_command('install_lib', warn_dir=0)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/bdist_egg.py", line 150, in call_command
self.run_command(cmdname)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/dist.py", line 974, in run_command
cmd_obj.run()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/install_lib.py", line 11, in run
self.build()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/command/install_lib.py", line 107, in build
self.run_command('build_ext')
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/dist.py", line 974, in run_command
cmd_obj.run()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/build_ext.py", line 79, in run
_build_ext.run(self)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/command/build_ext.py", line 339, in run
self.build_extensions()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 708, in build_extensions
build_ext.build_extensions(self)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/command/build_ext.py", line 448, in build_extensions
self._build_extensions_serial()
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/command/build_ext.py", line 473, in _build_extensions_serial
self.build_extension(ext)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/setuptools/command/build_ext.py", line 202, in build_extension
_build_ext.build_extension(self, ext)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/distutils/command/build_ext.py", line 533, in build_extension
depends=ext.depends)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 538, in unix_wrap_ninja_compile
with_cuda=with_cuda)
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1359, in _write_ninja_file_and_compile_objects
error_prefix='Error compiling objects for extension')
File "/home/wangweijia/anaconda3/envs/pcrnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1683, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension

If you thinks my work is ok . Give me a star, thank you. I have stared for your work.

The gradient computation is incorrect. Test code:

import numpy as np
import torch
import time

from emd import EMDLoss

dist =  EMDLoss()

xs = np.linspace(10, 50, 41)
ys = np.linspace(10, 50, 41)

l1 = np.stack((xs, np.ones(41)*10)).transpose()
l2 = np.stack((xs, np.ones(41)*50)).transpose()
l3 = np.stack((np.ones(41)*10, ys)).transpose()
l4 = np.stack((np.ones(41)*50, ys)).transpose()

p1 = np.concatenate((l1,l2,l3,l4))
npts = len(p1)
p1 = torch.from_numpy(p1).cuda().unsqueeze_(0)
for i in range(-3, 3):
    print('offset: ', i)
    p2 = p1 + i
    p1.requires_grad = True
    cost1 = dist(p1, p2)
    print('\tdistance: ', cost1.data.cpu().numpy()[0])
    loss = torch.sum(cost1)/npts
    loss.backward()
    print('\tgradient: ', p1.grad.data.cpu().numpy()[0][0])

Run script, the output looks like this:

offset:  -3
	distance:  489.7591609045162
	gradient:  [0.48759389 0.48759389]
offset:  -2
	distance:  323.4196924319101
	gradient:  [8124.4279909  6355.79031227]
offset:  -1
	distance:  162.74898605187073
	gradient:  [14667.35957541 11995.79261712]
offset:  0
	distance:  0.0
	gradient:  [6.25019588e+08 6.25016916e+08]
offset:  1
	distance:  162.7489860518707
	gradient:  [6.25026458e+08 6.25022920e+08]
offset:  2
	distance:  323.41969243191016
	gradient:  [6.25035163e+08 6.25029917e+08]

The gradient is always positive when offset is both positive and negative, gradient is none zero when offset = 0.

Hi, thanks for your nice work. However, I found that the gradients of inputs are just None after backward. Could you please tell me why this happen?

I tried to built this on Ubuntu 18.04. Unfortunately I'm hit with the following error when invoking python setup.py install:

building '_emd' extension                                                                                                                                                                                          
gcc -pthread -B /home/user/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Ipkg/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/home/user/anaconda3/include/python3.6m -c pkg/src/emd.cpp -o build/temp.linux-x86_64-3.6/pkg/src/emd.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++                                                                                                                    
/usr/local/cuda/bin/nvcc -Ipkg/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/TH -I/home/user/.local/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/home/user/anaconda3/include/python3.6m -c pkg/src/cuda/emd.cu -o build/temp.linux-x86_64-3.6/pkg/src/cuda/emd.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
In file included from /usr/local/cuda/include/host_config.h:50:0,                                                                                                                                                  
                 from /usr/local/cuda/include/cuda_runtime.h:78,                                                                                                                                                   
                 from <command-line>:0:                                                                                                                                                                            
/usr/local/cuda/include/crt/host_config.h:119:2: error: #error -- unsupported GNU version! gcc versions later than 6 are not supported!                                                                            
 #error -- unsupported GNU version! gcc versions later than 6 are not supported!                                                                                                                                   
  ^~~~~                                                                                                                                                                                                            
error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1                                                                                                                                                

The directory /usr/local/cuda links to /usr/local/cuda-9.0. I installed CUDA v9.0 through the package cuda-toolkit-9-0 from the following repository:

deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /

I installed PyTorch v1.0.0 through Anaconda like so:

conda install pytorch torchvision -c pytorch

What am I doing wrong? Sorry if this is the wrong place to ask. I'd happily accept a nudge to some other kind of documentation.

hi, when i run the setup.py, came across this issus. how can i slove it?

Hi Marc,

Thank you for sharing this code. I am wondering if this code can be used to compare two grayscale image? I google for long time. But i don't find the solution.

Looking for your reply,

Thanks,

Could you help me with this error plz ?

CUDA kernel failed: no error (pkg/include/cuda/emd.cuh:247)

I've written a gist, trying to compare scipy.stats.wasserstein_distance with the EMDLoss implemented here. Unfortunately it seems like I'm using the implementation in a wrong way, because the values differ for the following test signals:

Shouldn't EMDLoss and SciPy's Wasserstein Distance actually take on the same values? Am I wrong about the conversion of the signals through signal[None, :, None]? I tried mimicking the shapes from test_emd_loss.py, but don't quite grasp how this can be transferred to 1D signals.
Thanks

Compilation failed for me. I get the following warnings and errors:

running install
running bdist_egg
running egg_info
creating PyTorch_EMD.egg-info
writing PyTorch_EMD.egg-info/PKG-INFO
writing dependency_links to PyTorch_EMD.egg-info/dependency_links.txt
writing top-level names to PyTorch_EMD.egg-info/top_level.txt
writing manifest file 'PyTorch_EMD.egg-info/SOURCES.txt'
reading manifest file 'PyTorch_EMD.egg-info/SOURCES.txt'
writing manifest file 'PyTorch_EMD.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_64-3.7
creating build/lib.linux-x86_64-3.7/emd
copying pkg/layer/emd_loss_layer.py -> build/lib.linux-x86_64-3.7/emd
copying pkg/layer/__init__.py -> build/lib.linux-x86_64-3.7/emd
running build_ext
building '_emd' extension
creating build/temp.linux-x86_64-3.7
creating build/temp.linux-x86_64-3.7/pkg
creating build/temp.linux-x86_64-3.7/pkg/src
creating build/temp.linux-x86_64-3.7/pkg/src/cuda
gcc -pthread -B /mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Ipkg/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/torch/csrc/api/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/TH -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/include/python3.7m -c pkg/src/emd.cpp -o build/temp.linux-x86_64-3.7/pkg/src/emd.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
/usr/local/cuda/bin/nvcc -Ipkg/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/torch/csrc/api/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/TH -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/lib/python3.7/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/mnt/171D5FBC6E8E9B9A/anaconda3/envs/torch/include/python3.7m -c pkg/src/cuda/emd.cu -o build/temp.linux-x86_64-3.7/pkg/src/cuda/emd.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_emd -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
pkg/include/cuda/emd.cuh(39): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
          detected during instantiation of "void approx_match_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, T *, T *) [with T=float]" 
(237): here

pkg/include/cuda/emd.cuh(262): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
          detected during instantiation of "void match_cost_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, const T *, T *) [with T=float]" 
(318): here

pkg/include/cuda/emd.cuh(342): warning: specified alignment (4) is different from alignment (8) specified on a previous declaration
          detected during instantiation of "void match_cost_grad2_kernel(int64_t, int64_t, int64_t, int64_t, const T *, const T *, const T *, T *) [with T=float]" 
(444): here

pkg/include/cuda/emd.cuh(168): error: calling a __host__ function("std::fmax<double, float> ") from a __global__ function("approx_match_kernel<float> ") is not allowed

pkg/include/cuda/emd.cuh(168): error: identifier "std::fmax<double, float> " is undefined in device code

2 errors detected in the compilation of "/tmp/tmpxft_000035dc_00000000-6_emd.cpp1.ii".

I'm using Ubuntu 18.10, pytorch 1.0.1 and CUDA 10.0 with a GeForce GTX 1080.
Are these errors a bug, or have I missed something in the installation procedure?