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```
Collecting git+https://github.com/pytorch/audio@v2.2.0
Cloning https://github.com/pytorch/audio (to revision v2.2.0) to /tmp/pip-req-build-aa95t9du
Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio /tmp/pip-req-build-aa95t9du
Running command git checkout -q 08901ade5d17d3e3cf6fc039cbd601cbd2853686
Resolved https://github.com/pytorch/audio to commit 08901ade5d17d3e3cf6fc039cbd601cbd2853686
Running command git submodule update --init --recursive -q
/bin/sh: /home/user/conda/lib/libtinfo.so.6: no version information available (required by /bin/sh)
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [20 lines of output]
Traceback (most recent call last):
File "/home/user/conda/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
main()
File "/home/user/conda/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/conda/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 118, in get_requires_for_build_wheel
return hook(config_settings)
^^^^^^^^^^^^^^^^^^^^^
File "/tmp/pip-build-env-or3gcfq3/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 325, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=['wheel'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/pip-build-env-or3gcfq3/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 295, in _get_build_requires
self.run_setup()
File "/tmp/pip-build-env-or3gcfq3/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 487, in run_setup
super().run_setup(setup_script=setup_script)
File "/tmp/pip-build-env-or3gcfq3/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 311, in run_setup
exec(code, locals())
File "<string>", line 9, in <module>
ModuleNotFoundError: No module named 'torch'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× Getting requirements to build wheel 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.
```
Question - How solve this problem?
Because as you can see, the imports are in setup.py are almost identical, why can touchvision be installed in the above way, but torchaudio is not
PyTorch version: 2.2.0a0
Is debug build: False
CUDA used to build PyTorch: 12.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.6.12-linuxkit-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: 0x00
Model: 0
Thread(s) per core: 1
Core(s) per socket: 12
Socket(s): 1
Stepping: 0x0
BogoMIPS: 48.00
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 asimddp sha512 asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp flagm2 frint
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: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; __user pointer sanitization
Vulnerability Spectre v2: Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
🐛 Describe the bug
My steps
I have built torch-v2.2.0 on my computer and want to install torchvision and torchaudio
install torchvision - working fine
CXX=g++-11 CUDA_ROOT=/usr \ ${CONDA_DIR}/bin/python -m pip install --no-cache --no-cache-dir \ git+https://github.com/pytorch/vision@v0.17.0
with logs
You see the torch with 2.2.0a0+gitunknown version, because i downloaded torch from releases
install torchaudio - not working
and have error
Question - How solve this problem?
Because as you can see, the imports are in setup.py are almost identical, why can touchvision be installed in the above way, but torchaudio is not
TorchvVision:
https://github.com/pytorch/vision/blob/2c127da8b5e2e8f44b50994c6cb931bcca267cfe/setup.py#L9
TorchAudio:
audio/setup.py
Line 9 in 87aeb55
Versions
PyTorch version: 2.2.0a0
Is debug build: False
CUDA used to build PyTorch: 12.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.6.12-linuxkit-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: 0x00
Model: 0
Thread(s) per core: 1
Core(s) per socket: 12
Socket(s): 1
Stepping: 0x0
BogoMIPS: 48.00
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 asimddp sha512 asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp flagm2 frint
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: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; __user pointer sanitization
Vulnerability Spectre v2: Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.0
[pip3] torch==2.2.0a0+gitunknown
[pip3] triton==2.1.0
[conda] mkl 2024.0.0 intel_49656 intel
[conda] mkl-dpcpp 2024.0.0 intel_49656 intel
[conda] mkl-include 2024.0.0 intel_49656 intel
[conda] numpy 1.26.0 py311h24aa872_0 anaconda
[conda] numpy-base 1.26.0 py311hbfb1bba_0
[conda] onemkl-sycl-blas 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-datafitting 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-dft 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-lapack 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-rng 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-sparse 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-stats 2024.0.0 intel_49656 intel
[conda] onemkl-sycl-vm 2024.0.0 intel_49656 intel
[conda] torch 2.2.0a0+gitunknown pypi_0 pypi
[conda] triton 2.1.0 pypi_0 pypi
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