Repository: pytorch
Issue: pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1422:28: error
Labels: needs reproduction,module: build,module: cuda,triaged

### 🐛 Describe the bug

I am trying to compile pytorch on the PSC Bridges2 system and getting the following error using make in the build directory.

/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1422:28: error: 'CUBLASLT_MATMUL_DESC_A_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1422 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_A_SCALE_POINTER, mat1_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1423:28: error: 'CUBLASLT_MATMUL_DESC_B_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1423 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_B_SCALE_POINTER, mat2_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1424:28: error: 'CUBLASLT_MATMUL_DESC_D_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1424 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_D_SCALE_POINTER, result_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1428:30: error: 'CUBLASLT_MATMUL_DESC_AMAX_D_POINTER' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1428 |     computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_AMAX_D_POINTER, amax_ptr);
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                              CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1432:28: error: 'CUBLASLT_MATMUL_DESC_FAST_ACCUM' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_TRANSC'?
 1432 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_FAST_ACCUM, fastAccuMode);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_TRANSC
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1446:30: error: 'CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_SCALE_TYPE'?
 1446 |     computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE, ScalarTypeToCudaDataType(bias_dtype));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                              CUBLASLT_MATMUL_DESC_SCALE_TYPE
make[2]: *** [caffe2/CMakeFiles/torch_cuda.dir/build.make:6122: caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDABlas.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:7882: caffe2/CMakeFiles/torch_cuda.dir/all] Error 2
make: *** [Makefile:146: all] Error 2


### Error logs

[ 88%] Built target nccl_slim_external
Consolidate compiler generated dependencies of target torch_cuda
[ 88%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDABlas.cpp.o
In file included from /jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/core/IListRef.h:631,
                 from /jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/DeviceGuard.h:3,
                 from /jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/ATen.h:9,
                 from /jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:5:
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/core/IListRef_inl.h: In static member function 'static c10::detail::IListRefConstRef<at::OptionalTensorRef> c10::detail::IListRefTagImpl<c10::IListRefTag::Boxed, at::OptionalTensorRef>::iterator_get(const c10::List<std::optional<at::Tensor> >::const_iterator&)':
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/core/IListRef_inl.h:171:17: warning: possibly dangling reference to a temporary [-Wdangling-reference]
  171 |     const auto& ivalue = (*it).get();
      |                 ^~~~~~
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/core/IListRef_inl.h:171:35: note: the temporary was destroyed at the end of the full expression '(& it)->c10::impl::ListIterator<std::optional<at::Tensor>, __gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue> > >::operator*().c10::impl::ListElementReference<std::optional<at::Tensor>, __gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue> > >::get()'
  171 |     const auto& ivalue = (*it).get();
      |                          ~~~~~~~~~^~
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp: In function 'void at::cuda::blas::scaled_gemm(char, char, int64_t, int64_t, int64_t, const void*, const void*, int64_t, c10::ScalarType, const void*, const void*, int64_t, c10::ScalarType, const void*, c10::ScalarType, void*, const void*, int64_t, c10::ScalarType, void*, bool)':
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1422:28: error: 'CUBLASLT_MATMUL_DESC_A_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1422 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_A_SCALE_POINTER, mat1_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1423:28: error: 'CUBLASLT_MATMUL_DESC_B_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1423 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_B_SCALE_POINTER, mat2_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1424:28: error: 'CUBLASLT_MATMUL_DESC_D_SCALE_POINTER' was not declared in this scope; did you mean CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1424 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_D_SCALE_POINTER, result_scale_ptr);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1428:30: error: 'CUBLASLT_MATMUL_DESC_AMAX_D_POINTER' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_BIAS_POINTER'?
 1428 |     computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_AMAX_D_POINTER, amax_ptr);
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                              CUBLASLT_MATMUL_DESC_BIAS_POINTER
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1432:28: error: 'CUBLASLT_MATMUL_DESC_FAST_ACCUM' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_TRANSC'?
 1432 |   computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_FAST_ACCUM, fastAccuMode);
      |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                            CUBLASLT_MATMUL_DESC_TRANSC
/jet/home/gcommuni/projects/AI-Proteins/pytorch/aten/src/ATen/cuda/CUDABlas.cpp:1446:30: error: 'CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE' was not declared in this scope; did you mean 'CUBLASLT_MATMUL_DESC_SCALE_TYPE'?
 1446 |     computeDesc.setAttribute(CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE, ScalarTypeToCudaDataType(bias_dtype));
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                              CUBLASLT_MATMUL_DESC_SCALE_TYPE
make[2]: *** [caffe2/CMakeFiles/torch_cuda.dir/build.make:6122: caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDABlas.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:7882: caffe2/CMakeFiles/torch_cuda.dir/all] Error 2
make: *** [Makefile:146: all] Error 2

### Minified repro

 env
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CONDA_SHLVL=4
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CONDA_PYTHON_EXE=/ocean/projects/che070006p/gcommuni/AI-Proteins/bin/python
CMAKE_PREFIX_PATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu:/opt/packages/gcc/v13.2.1-p20240113/b2rm:/opt/packages/anaconda3-2022.10
SLURM_NODELIST=v008
SLURM_GPUS_ON_NODE=1
SSH_CLIENT=50.239.217.194 59810 22
LMOD_VERSION=8.2.7
CUDA_HOME=/opt/packages/cuda/v12.4.0
OPAL_PREFIX=/opt/packages/nvidia/hpc_sdk//Linux_x86_64/22.9/comm_libs/mpi
CPATH=/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/extras/qd/include/qd:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/nvshmem/include:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/nccl/include:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/mpi/include:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/math_libs/include:/opt/packages/gcc/v13.2.1-p20240113/b2gpu/include:/opt/packages/cuda/v12.4.0/include:/opt/packages/gcc/v13.2.1-p20240113/b2rm/include
__LMOD_REF_COUNT_INFOPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/info:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/info:1
F77=/opt/packages/nvidia/hpc_sdk//Linux_x86_64/22.9/compilers/bin/nvfortran
SLURM_JOB_CPUS_PER_NODE=5
BASH_ENV=/usr/share/lmod/lmod/init/bash
NVM_IOJS_ORG_MIRROR=https://iojs.org/dist
SLURM_TOPOLOGY_ADDR=v008
__LMOD_REF_COUNT_EMACSLOADPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/emacs/site-lisp:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/emacs/site-lisp:1
PROJECT=/ocean/projects/che070006p/gcommuni
_CE_CONDA=
SLURM_WORKING_CLUSTER=bridges2:br003:6814:9728:109
__LMOD_REF_COUNT_LIBRARY_PATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/lib64:1;/opt/packages/cuda/v12.4.0/lib64:1;/opt/packages/cuda/v12.4.0/nvvm/lib64:1;/opt/packages/cuda/v12.4.0/extras/CUPTI/lib64:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/lib64:1
SLURM_STEP_NODELIST=v008
SALLOC_ACCOUNT=che070006p
SLURM_JOB_NAME=Interact
SLURM_SRUN_COMM_PORT=33595
TMPDIR=/var/tmp
LIBRARY_PATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/lib64:/opt/packages/cuda/v12.4.0/lib64:/opt/packages/cuda/v12.4.0/nvvm/lib64:/opt/packages/cuda/v12.4.0/extras/CUPTI/lib64:/opt/packages/gcc/v13.2.1-p20240113/b2rm/lib64
SLURM_JOB_GPUS=6
SALLOC_JOB_NUM_NODES=1
__LMOD_REF_COUNT_CMAKE_PREFIX_PATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm:1;/opt/packages/anaconda3-2022.10:1
LMOD_sys=Linux
SLURM_JOBID=25100639
_ModuleTable001_=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
SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
LOADEDMODULES=allocations/1.0:psc.allocations.user/1.0:anaconda3/2022.10:cuda/12.4.0:gcc/13.2.1-p20240113:openmpi/4.0.5-nvhpc22.9
FC=/opt/packages/nvidia/hpc_sdk//Linux_x86_64/22.9/compilers/bin/nvfortran
__LMOD_REF_COUNT_ACLOCAL_PATH=/opt/packages/anaconda3-2022.10/share/aclocal:1
__LMOD_REF_COUNT_MANPATH=/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/man:1;/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/man:1;/opt/packages/cuda/v12.4.0/gds/man:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/man:1;/usr/share/lmod/lmod/share/man:1;/opt/puppetlabs/puppet/share/man:1;/opt/packages/anaconda3-2022.10/man:1;/opt/packages/anaconda3-2022.10/share/man:1
_ModuleTable003_=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
SLURM_NODE_ALIASES=(null)
LMOD_ROOT=/usr/share/lmod
SLURM_JOB_QOS=gpuinteract
SLURM_TOPOLOGY_ADDR_PATTERN=node
CONDA_PROMPT_MODIFIER=(base) 
__LMOD_Priority_EMACSLOADPATH= :100
SSH_TTY=/dev/pts/6
LOCPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/locale:/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/locale
OMPI_MCA_pml=^ucx
SUDO_PROMPT=Password for %u@psc.edu: 
MAIL=/var/spool/mail/gcommuni
ZE_AFFINITY_MASK=0
SLURM_CPUS_ON_NODE=5
CXX=/opt/packages/nvidia/hpc_sdk//Linux_x86_64/22.9/compilers/bin/nvc++
SLURM_JOB_NUM_NODES=1
NVM_RC_VERSION=
SHELL=/bin/bash
TERM=xterm-256color
__LMOD_STACK_CONDA_PKGS_DIRS=JEhPTUUvLmNvbmRhL3BrZ3Mv
OMPI_MCA_opal_warn_on_missing_libcuda=0
SLURM_JOB_UID=22808
_ModuleTable_Sz_=5
__LMOD_REF_COUNT_CPATH=/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/extras/qd/include/qd:1;/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/nvshmem/include:1;/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/nccl/include:1;/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/mpi/include:1;/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/math_libs/include:1;/opt/packages/gcc/v13.2.1-p20240113/b2gpu/include:1;/opt/packages/cuda/v12.4.0/include:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/include:1
SLURM_JOB_PARTITION=GPU-shared
SLURM_SCRIPT_CONTEXT=prolog_task
SLURM_PTY_WIN_ROW=32
NVHPC=/opt/packages/nvidia/hpc_sdk/
TMOUT=1800
NVM_NODEJS_ORG_MIRROR=https://nodejs.org/dist
SLURM_JOB_USER=gcommuni
CUDA_VISIBLE_DEVICES=0
SLURM_PTY_WIN_COL=156
SHLVL=4
SLURM_SUBMIT_HOST=br011.ib.bridges2.psc.edu
PYTHONPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/gcc-13.2.1/python:/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/gcc-13.2.1/python::/jet/home/gcommuni/apps/SMILES_Vikrant/pyQRC
SLURM_JOB_ACCOUNT=che070006p
ACLOCAL_PATH=/opt/packages/anaconda3-2022.10/share/aclocal
MANPATH=/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/man:/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/man:/opt/packages/cuda/v12.4.0/gds/man:/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/man:/usr/share/lmod/lmod/share/man::/opt/puppetlabs/puppet/share/man:/opt/packages/anaconda3-2022.10/man:/opt/packages/anaconda3-2022.10/share/man
SLURM_EXPORT_ENV=ALL
SLURM_STEP_LAUNCHER_PORT=33595
F90=/opt/packages/nvidia/hpc_sdk//Linux_x86_64/22.9/compilers/bin/nvfortran
MODULEPATH=/etc/scl/modulefiles:/opt/modulefiles/production:/opt/modulefiles/preproduction:/opt/modulefiles/deprecated:/usr/share/modulefiles:/usr/share/modulefiles/Linux:/usr/share/modulefiles/Core:/usr/share/lmod/lmod/modulefiles/Core
GDK_BACKEND=x11
SLURM_PTY_PORT=41351
SLURM_GTIDS=0
LOGNAME=gcommuni
DBUS_SESSION_BUS_ADDRESS=unix:abstract=/tmp/dbus-KSFLM9s3js,guid=297b251e3e95e55f8929f84666c1cd62
XDG_RUNTIME_DIR=/run/user/22808
CPLUS_INCLUDE_PATH=/opt/packages/anaconda3-2022.10/include
MODULEPATH_ROOT=/usr/share/modulefiles
PATH=/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/extras/qd/bin:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/comm_libs/mpi/bin:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/compilers/bin:/opt/packages/nvidia/hpc_sdk/Linux_x86_64/22.9/cuda/bin:/opt/packages/gcc/v13.2.1-p20240113/b2gpu/bin:/opt/packages/cuda/v12.4.0/bin:/opt/packages/cuda/v12.4.0/libnvvp:/ocean/projects/che070006p/gcommuni/AI-Proteins/alphafoldenv/bin:/ocean/projects/che070006p/gcommuni/AI-Proteins/bin:/opt/packages/anaconda3-2022.10/condabin:/jet/home/gcommuni/apps/osra-2.1.3/bin:/jet/home/gcommuni/apps/GraphicsMagick-1.3.42/bin:/jet/home/gcommuni/apps/lzip-1.15/bin:/jet/home/gcommuni/.local/bin:/jet/home/gcommuni/bin:/jet/home/gcommuni/apps/firefox:/jet/home/gcommuni/apps/opt/google/chrome:/jet/home/gcommuni/apps:/opt/packages/psc.allocations.user/bin:/opt/packages/allocations/bin:/opt/packages/gcc/v13.2.1-p20240113/b2rm/bin:/opt/packages/anaconda3-2022.10/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/packages/interact/bin:/opt/puppetlabs/bin
SLURM_JOB_ID=25100639
_LMFILES_=/opt/modulefiles/production/allocations/1.0.lua:/opt/modulefiles/production/psc.allocations.user/1.0.lua:/opt/modulefiles/production/anaconda3/2022.10.lua:/opt/modulefiles/production/cuda/12.4.0.lua:/opt/modulefiles/production/gcc/13.2.1-p20240113.lua:/opt/modulefiles/production/openmpi/4.0.5-nvhpc22.9
PS1=(base) (alphafoldenv) [\u@\h \W]\$ 
SLURM_STEP_NUM_TASKS=1
MODULESHOME=/usr/share/lmod/lmod
LMOD_SETTARG_FULL_SUPPORT=no
PKG_CONFIG_PATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/lib64/pkgconfig:/opt/packages/cuda/v12.4.0/lib64/pkgconfig:/opt/packages/gcc/v13.2.1-p20240113/b2rm/lib64/pkgconfig:/opt/packages/anaconda3-2022.10/lib/pkgconfig
CONDA_DEFAULT_ENV=base
INFOPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/info:/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/info
SALLOC_TIMELIMIT=60
HISTSIZE=1000
SLURM_JOB_CPUS_PER_NODE_PACK_GROUP_0=5
LMOD_PKG=/usr/share/lmod/lmod
SBATCH_EXPORT=NONE
SLURM_STEP_NUM_NODES=1
CPP=cpp
__LMOD_REF_COUNT_LOCPATH=/opt/packages/gcc/v13.2.1-p20240113/b2gpu/share/locale:1;/opt/packages/gcc/v13.2.1-p20240113/b2rm/share/locale:1
XML_CATALOG_FILES=file:///ocean/projects/che070006p/gcommuni/AI-Proteins/etc/xml/catalog file:///etc/xml/catalog
LMOD_CMD=/usr/share/lmod/lmod/libexec/lmod
_ModuleTable005_=cy9Db3JlIix9LFsic3lzdGVtQmFzZU1QQVRIIl09Ii9ldGMvc2NsL21vZHVsZWZpbGVzOi9vcHQvbW9kdWxlZmlsZXMvcHJvZHVjdGlvbjovb3B0L21vZHVsZWZpbGVzL3ByZXByb2R1Y3Rpb246L29wdC9tb2R1bGVmaWxlcy9kZXByZWNhdGVkOi91c3Ivc2hhcmUvbW9kdWxlZmlsZXM6L3Vzci9zaGFyZS9tb2R1bGVmaWxlcy9MaW51eDovdXNyL3NoYXJlL21vZHVsZWZpbGVzL0NvcmU6L3Vzci9zaGFyZS9sbW9kL2xtb2QvbW9kdWxlZmlsZXMvQ29yZSIsfQ==
SLURM_LOCALID=0
SALLOC_JOB_NAME=Interact
GPU_DEVICE_ORDINAL=0
SLURM_WHOLE=1
LESSOPEN=||/usr/bin/lesspipe.sh %s
LMOD_DIR=/usr/share/lmod/lmod/libexec
BASH_FUNC_which%%=() {  ( alias;
 eval ${which_declare} ) | /usr/bin/which --tty-only --read-alias --read-functions --show-tilde --show-dot $@
}
BASH_FUNC_module%%=() {  eval $($LMOD_CMD bash "$@") && eval $(${LMOD_SETTARG_CMD:-:} -s sh);
 ret=$?;
 /usr/share/lmod/8.2.7/libexec/log_modules "$@";
 return $ret
}
BASH_FUNC_scl%%=() {  if [ "$1" = "load" -o "$1" = "unload" ]; then
 eval "module $@";
 else
 /usr/bin/scl "$@";
 fi
}
BASH_FUNC_ml%%=() {  eval $($LMOD_DIR/ml_cmd "$@")
}
_=/usr/bin/env

### Versions

 python3 collect_env.py

Collecting environment information...
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Red Hat Enterprise Linux release 8.8 (Ootpa) (x86_64)
GCC version: (GCC) 13.2.1 20240113
Clang version: 15.0.7 (Red Hat 15.0.7-1.module+el8.8.0+17939+b58878af)
CMake version: version 3.20.2
Libc version: glibc-2.28

Python version: 3.9.13 (main, Aug 25 2022, 23:26:10)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-4.18.0-477.27.1.el8_8.x86_64-x86_64-with-glibc2.28
Is CUDA available: True
CUDA runtime version: 12.4.99
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: Tesla V100-SXM2-32GB
Nvidia driver version: 545.23.08
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              40
On-line CPU(s) list: 0-39
Thread(s) per core:  1
Core(s) per socket:  20
Socket(s):           2
NUMA node(s):        2
Vendor ID:           GenuineIntel
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
Stepping:            7
CPU MHz:             3200.000
BogoMIPS:            5000.00
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            28160K
NUMA node0 CPU(s):   0-19
NUMA node1 CPU(s):   20-39
Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke avx512_vnni md_clear flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.24.3
[pip3] optree==0.12.1
[pip3] torch==2.4.0
[pip3] torchaudio==2.4.0
[pip3] torchvision==0.19.0
[pip3] triton==3.0.0
[conda] cudatoolkit               11.8.0              h4ba93d1_13    conda-forge
[conda] magma-cuda121             2.6.1                         1    pytorch
[conda] numpy                     1.26.4          py310hb13e2d6_0    conda-forge
[conda] torch                     2.4.0                    pypi_0    pypi
[conda] triton                    3.0.0                    pypi_0    pypi

cc @malfet @seemethere @ptrblck @msaroufim @ezyang @chauhang @penguinwu