StreamReader seek method seeks to wrong frame for opus format

[ashinkajay]

🐛 Describe the bug

Streamreader seek not seeking to correct frame even with mode='precise'.

Use below code to reproduce the error with any audio in opus format. This code is expected to do a seek operation to the mid frame and then load the remaining frames after that. Finally compares the number of frames loaded to the half of the actual number of frames.

Expected result: assert statement to pass Actual result: assert statement fails.

It's found that the same code works well for .wav format.

from torchaudio.io import StreamReader
import torchaudio

file_path = "<any_opus_file>"

num_frames = torchaudio.load(file_path)[0].shape[-1]
sample_rate = torchaudio.info(file_path).sample_rate

reader = StreamReader(src=file_path)
reader.add_basic_audio_stream(frames_per_chunk=1, buffer_chunk_size=-1)

half_duration = num_frames/sample_rate/2
reader.seek(half_duration)
half_num_frames = len([chunk.pop() for chunk in reader.stream()])

assert num_frames/2 == half_num_frames

Versions

Collecting environment information... PyTorch version: 2.2.1+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 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: 3.10.6 (main, Oct 24 2022, 16:07:47) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-6.5.0-26-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 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: 39 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 16 On-line CPU(s) list: 0-15 Vendor ID: GenuineIntel Model name: 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz CPU family: 6 Model: 141 Thread(s) per core: 2 Core(s) per socket: 8 Socket(s): 1 Stepping: 1 CPU max MHz: 4800.0000 CPU min MHz: 800.0000 BogoMIPS: 4992.00 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 sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l2 invpcid_single cdp_l2 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves split_lock_detect dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid movdiri movdir64b fsrm avx512_vp2intersect md_clear ibt flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 384 KiB (8 instances) L1i cache: 256 KiB (8 instances) L2 cache: 10 MiB (8 instances) L3 cache: 24 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-15 Vulnerability Gather data sampling: Mitigation; Microcode 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; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] torch==2.2.1 [pip3] torch-tb-profiler==0.4.1 [pip3] torchaudio==2.2.1 [pip3] triton==2.2.0 [conda] numpy 1.26.4 pypi_0 pypi [conda] torch 2.2.1 pypi_0 pypi [conda] torchaudio 2.2.1 pypi_0 pypi [conda] triton 2.2.0 pypi_0 pypi

[grazder]

https://github.com/pytorch/audio/issues/3731

Related?

[ashinkajay]

3731

Related?

@grazder Not related. #3731 - the issue is reading the wrong meta data stored in the header. While the issue here is seeking to a wrong frame.