Failed to instantiate SimpleVideoDecoder

[lematt1991]

🐛 Describe the bug

>>> from torchcodec.decoders import SimpleVideoDecoder
>>> decoder = SimpleVideoDecoder("video.mp4")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/mattle/envs/audiobox-2.5/lib/python3.11/site-packages/torchcodec/decoders/_simple_video_decoder.py", line 131, in __init__
    core.scan_all_streams_to_update_metadata(self._decoder)
  File "/home/mattle/envs/audiobox-2.5/lib/python3.11/site-packages/torch/_ops.py", line 716, in __call__
    return self._op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
NotImplementedError: Could not run 'torchcodec_ns::scan_all_streams_to_update_metadata' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchcodec_ns::scan_all_streams_to_update_metadata' is only available for these backends: [Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].

Meta: registered at /dev/null:184 [kernel]
BackendSelect: fallthrough registered at ../aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:153 [backend fallback]
FuncTorchDynamicLayerBackMode: registered at ../aten/src/ATen/functorch/DynamicLayer.cpp:497 [backend fallback]
Functionalize: registered at ../aten/src/ATen/FunctionalizeFallbackKernel.cpp:349 [backend fallback]
Named: registered at ../aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at ../aten/src/ATen/ConjugateFallback.cpp:17 [backend fallback]
Negative: registered at ../aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at ../aten/src/ATen/ZeroTensorFallback.cpp:86 [backend fallback]
ADInplaceOrView: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:96 [backend fallback]
AutogradOther: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:63 [backend fallback]
AutogradCPU: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:67 [backend fallback]
AutogradCUDA: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:75 [backend fallback]
AutogradXLA: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:79 [backend fallback]
AutogradMPS: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:87 [backend fallback]
AutogradXPU: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:71 [backend fallback]
AutogradHPU: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:100 [backend fallback]
AutogradLazy: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:83 [backend fallback]
AutogradMeta: registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:91 [backend fallback]
Tracer: registered at ../torch/csrc/autograd/TraceTypeManual.cpp:294 [backend fallback]
AutocastCPU: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:321 [backend fallback]
AutocastXPU: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:463 [backend fallback]
AutocastMPS: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:209 [backend fallback]
AutocastCUDA: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:165 [backend fallback]
FuncTorchBatched: registered at ../aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:731 [backend fallback]
BatchedNestedTensor: registered at ../aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp:758 [backend fallback]
FuncTorchVmapMode: fallthrough registered at ../aten/src/ATen/functorch/VmapModeRegistrations.cpp:27 [backend fallback]
Batched: registered at ../aten/src/ATen/LegacyBatchingRegistrations.cpp:1075 [backend fallback]
VmapMode: fallthrough registered at ../aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]
FuncTorchGradWrapper: registered at ../aten/src/ATen/functorch/TensorWrapper.cpp:207 [backend fallback]
PythonTLSSnapshot: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:161 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at ../aten/src/ATen/functorch/DynamicLayer.cpp:493 [backend fallback]
PreDispatch: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:165 [backend fallback]
PythonDispatcher: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:157 [backend fallback]

Versions

I'm using ffmpeg 6.0.1

>>> torchcodec.decoders._core.get_ffmpeg_library_versions()
{'libavfilter': [9, 3, 100], 'libavutil': [58, 2, 100], 'libavcodec': [60, 3, 100], 'libavformat': [60, 3, 100], 'ffmpeg_version': '6.0.1'}

collect_env.py:

$ python collect_env.py 
Collecting environment information...
PyTorch version: 2.5.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: CentOS Stream 9 (x86_64)
GCC version: (GCC) 11.5.0 20240719 (Red Hat 11.5.0-2)
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.34

Python version: 3.11.8 | packaged by conda-forge | (main, Feb 16 2024, 20:53:32) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.19.0-0_fbk12_hardened_11583_g0bef9520ca2b-x86_64-with-glibc2.34
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
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
Address sizes:                   40 bits physical, 57 bits virtual
Byte Order:                      Little Endian
CPU(s):                          56
On-line CPU(s) list:             0-55
Vendor ID:                       GenuineIntel
Model name:                      Intel Xeon Processor (Icelake)
CPU family:                      6
Model:                           134
Thread(s) per core:              2
Core(s) per socket:              28
Socket(s):                       1
Stepping:                        0
BogoMIPS:                        2000.00
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology cpuid tsc_known_freq pni pclmulqdq vmx ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid cldemote movdiri movdir64b fsrm md_clear arch_capabilities
Virtualization:                  VT-x
Hypervisor vendor:               KVM
Virtualization type:             full
L1d cache:                       1.8 MiB (56 instances)
L1i cache:                       1.8 MiB (56 instances)
L2 cache:                        112 MiB (28 instances)
L3 cache:                        16 MiB (1 instance)
NUMA node(s):                    1
NUMA node0 CPU(s):               0-55
Vulnerability Itlb multihit:     Not affected
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Mmio stale data:   Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed:          Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Vulnerable: eIBRS with unprivileged eBPF
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled

Versions of relevant libraries:
[pip3] flake8==6.1.0
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] numpy-minmax==0.3.1
[pip3] numpy-rms==0.4.2
[pip3] nvidia-cublas-cu12==12.1.3.1
[pip3] nvidia-cuda-cupti-cu12==12.1.105
[pip3] nvidia-cuda-nvrtc-cu12==12.1.105
[pip3] nvidia-cuda-runtime-cu12==12.1.105
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.0.2.54
[pip3] nvidia-curand-cu12==10.3.2.106
[pip3] nvidia-cusolver-cu12==11.4.5.107
[pip3] nvidia-cusparse-cu12==12.1.0.106
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.6.77
[pip3] nvidia-nvtx-cu12==12.1.105
[pip3] open_clip_torch==2.27.1
[pip3] pytorch-lightning==2.4.0
[pip3] pytorchvideo==0.1.5
[pip3] torch==2.5.0+cu121
[pip3] torch-stoi==0.2.3
[pip3] torchaudio==2.5.0+cu121
[pip3] torchdiffeq==0.2.4
[pip3] torchlibrosa==0.1.0
[pip3] torchmetrics==1.5.0
[pip3] torchvision==0.20.0+cu121
[pip3] triton==3.1.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] numpy-minmax              0.3.1                    pypi_0    pypi
[conda] numpy-rms                 0.4.2                    pypi_0    pypi
[conda] nvidia-cublas-cu12        12.1.3.1                 pypi_0    pypi
[conda] nvidia-cuda-cupti-cu12    12.1.105                 pypi_0    pypi
[conda] nvidia-cuda-nvrtc-cu12    12.1.105                 pypi_0    pypi
[conda] nvidia-cuda-runtime-cu12  12.1.105                 pypi_0    pypi
[conda] nvidia-cudnn-cu12         9.1.0.70                 pypi_0    pypi
[conda] nvidia-cufft-cu12         11.0.2.54                pypi_0    pypi
[conda] nvidia-curand-cu12        10.3.2.106               pypi_0    pypi
[conda] nvidia-cusolver-cu12      11.4.5.107               pypi_0    pypi
[conda] nvidia-cusparse-cu12      12.1.0.106               pypi_0    pypi
[conda] nvidia-nccl-cu12          2.21.5                   pypi_0    pypi
[conda] nvidia-nvjitlink-cu12     12.6.77                  pypi_0    pypi
[conda] nvidia-nvtx-cu12          12.1.105                 pypi_0    pypi
[conda] open-clip-torch           2.27.1                   pypi_0    pypi
[conda] pytorch-lightning         2.4.0                    pypi_0    pypi
[conda] pytorchvideo              0.1.5                    pypi_0    pypi
[conda] torch                     2.5.0+cu121              pypi_0    pypi
[conda] torch-stoi                0.2.3                    pypi_0    pypi
[conda] torchaudio                2.5.0+cu121              pypi_0    pypi
[conda] torchcodec                0.0.3                    pypi_0    pypi
[conda] torchdiffeq               0.2.4                    pypi_0    pypi
[conda] torchlibrosa              0.1.0                    pypi_0    pypi
[conda] torchmetrics              1.5.0                    pypi_0    pypi
[conda] torchvision               0.20.0+cu121             pypi_0    pypi
[conda] triton                    3.1.0                    pypi_0    pypi

[NicolasHug]

Hi @lematt1991 , thanks for the report. I suspect this can be related to this:

PyTorch version: 2.5.0+cu121

We'll make it clearer soon, but each version of torchcodec requires a specific version of pytorch (similarly to other pytorch libraries like torchvision). The latest torchcodecversion relies on pytorch 2.4. Can you install pytorch 2.4 and try again? In the coming weeks we'll make sure to closely follow pytorch release schedule so that this doesn't happen again.

[lematt1991]

OK, thanks for clarifying. Do you have an ETA when the 2.5.0 compatible build will be released?

[NicolasHug]

Hi @lematt1991 , we're hoping to get something out by the end of the year :)