Audio decoding fails with "Invalid data found when processing input" #1178
Description
🐛 Describe the bug
Example:
# /// script
# requires-python = ">=3.12"
# dependencies = [
# "torch>=2.9.1",
# "torchcodec>=0.9.1",
# ]
# ///
import argparse
from torchcodec.decoders import AudioDecoder
parser = argparse.ArgumentParser()
parser.add_argument("video_path", help="Path to the video file")
args = parser.parse_args()
with open(args.video_path, "rb") as f:
mp4_bytes = f.read()
decoder = AudioDecoder(mp4_bytes, stream_index=1)
audio = decoder.get_all_samples()
print(audio)Run using uv run torchcodec-bug.py video-path.mp4.
When I run this on some videos, I get:
> uv run torchcodec-bug.py 00b3fa_4648536776761442.mp4 (base)
/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)
cpu = _conversion_method_template(device=torch.device("cpu"))
/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/bin/python3
Traceback (most recent call last):
File "/home/vaclav/tmp/torchcodec-bug/torchcodec-bug.py", line 22, in <module>
audio = decoder.get_all_samples()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/lib/python3.12/site-packages/torchcodec/decoders/_audio_decoder.py", line 108, in get_all_samples
return self.get_samples_played_in_range()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/lib/python3.12/site-packages/torchcodec/decoders/_audio_decoder.py", line 137, in get_samples_played_in_range
frames, first_pts = core.get_frames_by_pts_in_range_audio(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/lib/python3.12/site-packages/torch/_ops.py", line 841, in __call__
return self._op(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Could not push packet to decoder: Invalid data found when processing input
Here are two videos to compare the behavior: it works on one (00b787_4636973343696040.mp4) and fails on the other (00b3fa_4648536776761442.mp4). But when I open them in VLC, they both have audio and seem totally normal.
I've also noticed that for certain videos, using get_samples_played_in_range, it might work for some settings of start_seconds and end_seconds but fail for others.
Versions
/home/vaclav/.cache/uv/environments-v2/torchcodec-bug-3d116ac55f1e80aa/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)
cpu = _conversion_method_template(device=torch.device("cpu"))
Collecting environment information...
PyTorch version: 2.9.1+cu128
Is debug build: False
CUDA used to build PyTorch: 12.8
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.2 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.35
Python version: 3.12.9 (main, Feb 12 2025, 14:50:50) [Clang 19.1.6 ] (64-bit runtime)
Python platform: Linux-5.19.0-45-generic-x86_64-with-glibc2.35
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
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Caching allocator config: N/A
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Gold 6430
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 2
Stepping: 8
CPU max MHz: 3400.0000
CPU min MHz: 800.0000
BogoMIPS: 4200.00
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 tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx 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 cat_l2 cdp_l3 invpcid_single cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 3 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 128 MiB (64 instances)
L3 cache: 120 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,68,70,72,74,76,78,80,82,84,86,88,90,92,94,96,98,100,102,104,106,108,110,112,114,116,118,120,122,124,126
NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63,65,67,69,71,73,75,77,79,81,83,85,87,89,91,93,95,97,99,101,103,105,107,109,111,113,115,117,119,121,123,125,127
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 store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] Could not collect
[conda] Could not collect