Torchaudio installed through PIP not detecting ffmpeg from conda-forge channel

[Kavinraj-N]

🐛 Describe the bug

torchaudio not detecting ffmpeg installed from the conda-forge channel.

Environment:

To reproduce, set up the following environment:

conda create -n test_env python=3.10.6 ffmpeg=6.1.2 -c conda-forge -y
conda activate test_env

pip install torch==2.2.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install torchaudio==2.2.1+cpu -f https://download.pytorch.org/whl/torch_stable.html

Code to reproduce:

import torchaudio
import torio

print(torchaudio.list_audio_backends())
>>> []
print(torio.utils.ffmpeg_utils.get_versions())
>>>
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/kavinraj.nac/miniconda3/envs/test_env/lib/python3.10/site-packages/torio/utils/ffmpeg_utils.py", line 19, in get_versions
    return ffmpeg_ext.get_versions()
  File "/home/kavinraj.nac/miniconda3/envs/test_env/lib/python3.10/site-packages/torio/_extension/utils.py", line 25, in __getattr__
    self._import_once()
  File "/home/kavinraj.nac/miniconda3/envs/test_env/lib/python3.10/site-packages/torio/_extension/utils.py", line 39, in _import_once
    self.module = self.import_func()
  File "/home/kavinraj.nac/miniconda3/envs/test_env/lib/python3.10/site-packages/torio/_extension/utils.py", line 143, in _init_ffmpeg
    ext = _find_ffmpeg_extension(ffmpeg_vers)
  File "/home/kavinraj.nac/miniconda3/envs/test_env/lib/python3.10/site-packages/torio/_extension/utils.py", line 122, in _find_ffmpeg_extension
    raise ImportError(
ImportError: Failed to intialize FFmpeg extension. Tried versions: ['6', '5', '4', '']. Enable DEBUG logging to see more details about the error.
>>> 

Versions

PyTorch version: 2.2.1+cpu
Is debug build: False
CUDA used to build PyTorch: Could not collect
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.2 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31

Python version: 3.10.6 | packaged by conda-forge | (main, Aug 22 2022, 20:36:39) [GCC 10.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-130-generic-x86_64-with-glibc2.31
Is CUDA available: False
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration:
GPU 0: NVIDIA RTX A6000
GPU 1: NVIDIA RTX A6000
GPU 2: NVIDIA RTX A6000
GPU 3: NVIDIA RTX A6000
GPU 4: NVIDIA RTX A6000
GPU 5: NVIDIA RTX A6000
GPU 6: NVIDIA RTX A6000
GPU 7: NVIDIA RTX A6000

Nvidia driver version: 535.183.01
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
Address sizes: 43 bits physical, 48 bits virtual
CPU(s): 256
On-line CPU(s) list: 0-255
Thread(s) per core: 2
Core(s) per socket: 64
Socket(s): 2
NUMA node(s): 2
Vendor ID: AuthenticAMD
CPU family: 23
Model: 49
Model name: AMD EPYC 7662 64-Core Processor
Stepping: 0
Frequency boost: enabled
CPU MHz: 3295.616
CPU max MHz: 2154.2959
CPU min MHz: 1500.0000
BogoMIPS: 4000.00
Virtualization: AMD-V
L1d cache: 4 MiB
L1i cache: 4 MiB
L2 cache: 64 MiB
L3 cache: 512 MiB
NUMA node0 CPU(s): 0-63,128-191
NUMA node1 CPU(s): 64-127,192-255
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 Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow: Mitigation; safe RET
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; BHI 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 x2apic 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 xsaves 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] torch==2.2.1+cpu
[pip3] torchaudio==2.2.1+cpu
[conda] libopenvino-pytorch-frontend 2024.4.0 h5888daf_2 conda-forge
[conda] torch 2.2.1+cpu pypi_0 pypi
[conda] torchaudio 2.2.1+cpu pypi_0 pypi