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intel / intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Apache License 2.0
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Whisper: could not create a primitive descriptor for a concat primitive #488

Open JKlesmith opened 10 months ago

JKlesmith commented 10 months ago

Describe the issue

Hi,

Having an issue trying to run Whisper on a A770 with XPU selected as the device with the following environment that works with CPU set as the device. Any insight is appreciated! Thanks!

import whisper
import intel_extension_for_pytorch as ipex
model = whisper.load_model("small.en", device = "xpu")
result = model.transcribe("./in/2023_11_04__05_26_32.wav")
print(result["text"])

the output:

Traceback (most recent call last):
  File "/home/user/whisper/w-test.py", line 7, in <module>
    result = model.transcribe("./in/2023_11_04__05_26_32.wav")
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/transcribe.py", line 240, in transcribe
    result: DecodingResult = decode_with_fallback(mel_segment)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/transcribe.py", line 170, in decode_with_fallback
    decode_result = model.decode(segment, options)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/decoding.py", line 824, in decode
    result = DecodingTask(model, options).run(mel)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/decoding.py", line 737, in run
    tokens, sum_logprobs, no_speech_probs = self._main_loop(audio_features, tokens)
                                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/decoding.py", line 687, in _main_loop
    logits = self.inference.logits(tokens, audio_features)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/decoding.py", line 163, in logits
    return self.model.decoder(tokens, audio_features, kv_cache=self.kv_cache)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/model.py", line 211, in forward
    x = block(x, xa, mask=self.mask, kv_cache=kv_cache)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/model.py", line 136, in forward
    x = x + self.attn(self.attn_ln(x), mask=mask, kv_cache=kv_cache)[0]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/model.py", line 83, in forward
    k = self.key(x if xa is None else xa)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1547, in _call_impl
    hook_result = hook(self, args, result)
                  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/.local/lib/python3.11/site-packages/whisper/model.py", line 301, in save_to_cache
    cache[module] = torch.cat([cache[module], output], dim=1).detach()
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: could not create a primitive descriptor for a concat primitive

sycl-ls output:

[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device 1.2 [2023.16.6.0.22_223734]
[opencl:cpu:1] Intel(R) OpenCL, Intel(R) Xeon(R) Gold 5122 CPU @ 3.60GHz 3.0 [2023.16.6.0.22_223734]
[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics 3.0 [23.17.26241.33]
[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.26241]

software versions:

PyTorch version: 2.0.1a0+cxx11.abi
PyTorch CXX11 ABI: Yes
IPEX version: 2.0.110+xpu
IPEX commit: ba7f6c127
Build type: Release

OS: Debian GNU/Linux 12 (bookworm) (x86_64)
GCC version: (Debian 12.2.0-14) 12.2.0
Clang version: N/A
IGC version: 2023.2.0 (2023.2.0.20230622)
CMake version: version 3.28.1
Libc version: glibc-2.36

Python version: 3.11.2 (main, Mar 13 2023, 12:18:29) [GCC 12.2.0] (64-bit runtime)
Python platform: Linux-6.6.7-1-liquorix-amd64-x86_64-with-glibc2.36
Is XPU available: True
DPCPP runtime version: 2023.2.0
MKL version: 2023.2.0
GPU models and configuration:
[0] _DeviceProperties(name='Intel(R) Arc(TM) A770 Graphics', platform_name='Intel(R) Level-Zero', dev_type='gpu, support_fp64=0, total_memory=15473MB, max_compute_units=512, gpu_eu_count=512)
Intel OpenCL ICD version: 23.17.26241.33-647~22.04
Level Zero version: 1.3.26241.33-647~22.04

CPU:
Architecture:                       x86_64
CPU op-mode(s):                     32-bit, 64-bit
Address sizes:                      46 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             16
On-line CPU(s) list:                0-15
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Gold 5122 CPU @ 3.60GHz
CPU family:                         6
Model:                              85
Thread(s) per core:                 2
Core(s) per socket:                 4
Socket(s):                          2
Stepping:                           4
Frequency boost:                    enabled
CPU(s) scaling MHz:                 96%
CPU max MHz:                        3601.0000
CPU min MHz:                        1200.0000
BogoMIPS:                           7200.00
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 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 cdp_l3 pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts vnmi pku ospke md_clear flush_l1d arch_capabilities
Virtualization:                     VT-x
L1d cache:                          256 KiB (8 instances)
L1i cache:                          256 KiB (8 instances)
L2 cache:                           8 MiB (8 instances)
L3 cache:                           33 MiB (2 instances)
Vulnerability Gather data sampling: Mitigation; Microcode
Vulnerability Itlb multihit:        KVM: Mitigation: VMX disabled
Vulnerability L1tf:                 Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
Vulnerability Mds:                  Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown:             Mitigation; PTI
Vulnerability Mmio stale data:      Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed:             Mitigation; IBRS
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; IBRS, IBPB conditional, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Mitigation; Clear CPU buffers; SMT vulnerable

Versions of relevant libraries:
[pip3] intel-extension-for-pytorch==2.0.110+xpu
[pip3] numpy==1.26.2
[pip3] torch==2.0.1a0+cxx11.abi
[pip3] torchaudio==2.1.0a0+cxx11.abi
[pip3] torchvision==0.15.2a0+cxx11.abi
[conda] N/A
vishnumadhu365 commented 9 months ago

@JKlesmith Thanks for reporting the issue. Let me try reproducing this and get back to you.

vishnumadhu365 commented 9 months ago

@JKlesmith Justin, I tested with the latest version of IPEX(2.1.10+xpu) and found openai-whisper ASR to run well on XPU. Can you try running on the latest version of IPEX ?

Found working on : intel-extension-for-pytorch 2.1.10+xpu torch 2.1.0a0+cxx11.abi openai-whisper 20231117