Installation fails (due to recent change?)

[hector-gr]

Describe the Bug Apex installation fails.

Minimal Steps/Code to Reproduce the Bug Follow the recommended installation steps inhttps://github.com/NVIDIA/apex#linux .

git clone https://github.com/NVIDIA/apex
cd apex
# if pip >= 23.1 (ref: https://pip.pypa.io/en/stable/news/#v23-1) which supports multiple `--config-settings` with the same key... 
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

Expected Behavior

  /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -I/opt/conda/include/python3.10 -c csrc/update_scale_hysteresis.cu -o build/temp.li
nux-x86_64-cpython-310/csrc/update_scale_hysteresis.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' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_S
TDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_80,code=sm_80 -std=c++17                                                                                                                                                                                             
  csrc/update_scale_hysteresis.cu(59): error: class "at::Tensor" has no member "mutable_data_ptr"                                                                                                                                                                                                                                                                                                     

  csrc/update_scale_hysteresis.cu(59): error: type name is not allowed

  csrc/update_scale_hysteresis.cu(59): error: expected an expression

  csrc/update_scale_hysteresis.cu(60): error: class "at::Tensor" has no member "mutable_data_ptr" 

  csrc/update_scale_hysteresis.cu(60): error: type name is not allowed

  csrc/update_scale_hysteresis.cu(60): error: expected an expression

  csrc/update_scale_hysteresis.cu(61): error: class "at::Tensor" has no member "mutable_data_ptr" 

  csrc/update_scale_hysteresis.cu(61): error: type name is not allowed

  csrc/update_scale_hysteresis.cu(61): error: expected an expression

  csrc/update_scale_hysteresis.cu(62): error: class "at::Tensor" has no member "const_data_ptr"

  csrc/update_scale_hysteresis.cu(62): error: type name is not allowed

  csrc/update_scale_hysteresis.cu(62): error: expected an expression

  /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
            detected during:
              instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
  (61): here
              instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
  /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here

  /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
            detected during:
              instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
  (61): here
              instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
  /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here

  12 errors detected in the compilation of "csrc/update_scale_hysteresis.cu".
  error: command '/usr/local/cuda/bin/nvcc' failed with exit code 1
  error: subprocess-exited-with-error

  × Building wheel for apex (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> See above for output.

  note: This error originates from a subprocess, and is likely not a problem with pip.
  full command: /opt/conda/bin/python /opt/conda/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py build_wheel /tmp/tmpyts0eiu4
  cwd: /home/apex
  Building wheel for apex (pyproject.toml) ... error
  ERROR: Failed building wheel for apex
Failed to build apex
ERROR: Could not build wheels for apex, which is required to install pyproject.toml-based projects

Environment

PyTorch version: 2.0.1
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.31

Python version: 3.10.11 (main, Apr 20 2023, 19:02:41) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 11.7.99
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA A100-SXM4-40GB
GPU 1: NVIDIA A100-SXM4-40GB

Nvidia driver version: 535.113.01
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.5.0
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
Address sizes: 43 bits physical, 48 bits virtual
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 1
NUMA node(s): 1
Vendor ID: AuthenticAMD
CPU family: 23
Model: 49
Model name: AMD EPYC 7502 32-Core Processor
Stepping: 0
Frequency boost: enabled
CPU MHz: 1500.000
CPU max MHz: 2500.0000 CPU min MHz: 1500.0000
BogoMIPS: 5000.23
Virtualization: AMD-V
L1d cache: 1 MiB
L1i cache: 1 MiB
L2 cache: 16 MiB
L3 cache: 128 MiB
NUMA node0 CPU(s): 0-63
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es

Versions of relevant libraries:
[pip3] numpy==1.24.3
[pip3] torch==2.0.1
[pip3] torchaudio==2.0.2
[pip3] torchdata==0.6.1
[pip3] torchelastic==0.2.2
[pip3] torchtext==0.15.2
[pip3] torchvision==0.15.2
[conda] blas 1.0 mkl
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2023.1.0 h6d00ec8_46342
[conda] mkl-service 2.4.0 py310h5eee18b_1
[conda] mkl_fft 1.3.6 py310h1128e8f_1
[conda] mkl_random 1.2.2 py310h1128e8f_1
[conda] numpy 1.24.3 py310h5f9d8c6_1
[conda] numpy-base 1.24.3 py310hb5e798b_1
[conda] pytorch 2.0.1 py3.10_cuda11.7_cudnn8.5.0_0 pytorch
[conda] pytorch-cuda 11.7 h778d358_5 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 2.0.2 py310_cu117 pytorch
[conda] torchdata 0.6.1 py310 pytorch
[conda] torchelastic 0.2.2 pypi_0 pypi
[conda] torchtext 0.15.2 py310 pytorch
[conda] torchtriton 2.0.0 py310 pytorch
[conda] torchvision 0.15.2 py310_cu117 pytorch

[hector-gr]

Note building the second to last commit works in the same setup, i.e.

git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

[RuiWang1998]

Can reproduce this bug.

It seems torch2.1 works fine, but not 2.0.1

[Dongping-Chen]

Note building the second to last commit works in the same setup, i.e.

git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

This method solved my problem, thanks!

[SingL3]

Same problem here and checkout to 2386a91 do work.

[GuanhuaWang]

just curious when will apex team make master branch installation successfully as well ?

[xrandx]

same problem with torch 2.0.1.

git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82

This method solved my problem again.

[jimmieliu]

Using git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82 to solve this problem too

[guillaumeguy]

Same problem for me. Thx for posting this.

[GeekDream-x]

Same problem for me. Thx for posting this.

[scatyf3]

I encountered this problem in torch 1.13, does anyone know how to solve it?😭

[ATPAustinPeng]

Any updates @scatyf3 ? I'm running into the same issue w/ torch 1.13

[scatyf3]

Unfortunately, I give up my attempts to make it work 🥲

[Joaquin-Gajardo]

Note building the second to last commit works in the same setup, i.e.

git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

This worked for me as well with pytorch 1.11, thank you!