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Profiling whisper with English audio file (2.1 mb) / large model / cpu
Sun Nov 20 14:40:09 2022 whisper.prof
5912402 function calls (5549784 primitive calls) in 709.208 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1983/1 0.038 0.000 709.211 709.211 {built-in method builtins.exec}
1 0.086 0.086 709.195 709.195 prof_whisper.py:1(<module>)
1 0.024 0.024 673.748 673.748 transcribe.py:19(transcribe)
15/8 0.004 0.000 672.097 84.012 grad_mode.py:24(decorate_context)
326764/600 1.395 0.000 669.500 1.116 module.py:1416(_call_impl)
18144 0.999 0.000 650.632 0.036 model.py:117(forward)
7 0.002 0.000 643.436 91.919 transcribe.py:102(decode_with_fallback)
7 0.000 0.000 643.431 91.919 decoding.py:676(decode)
7 0.006 0.001 643.401 91.914 decoding.py:611(run)
559 18.756 0.034 555.582 0.994 model.py:177(forward)
180416 0.397 0.000 555.032 0.003 model.py:35(forward)
180416 554.338 0.003 554.338 0.003 {built-in method torch._C._nn.linear}
7 0.063 0.009 544.121 77.732 decoding.py:580(_main_loop)
558 0.010 0.000 543.367 0.974 decoding.py:137(logits)
36032 2.297 0.000 465.668 0.013 model.py:66(forward)
18144 0.327 0.000 181.072 0.010 container.py:202(forward)
8 0.306 0.038 115.236 14.405 model.py:143(forward)
7 0.003 0.000 99.168 14.167 decoding.py:553(_get_audio_features)
36032 54.083 0.002 70.949 0.002 model.py:88(qkv_attention)
1 0.033 0.033 34.161 34.161 __init__.py:68(load_model)
1 0.004 0.004 28.663 28.663 decoding.py:18(detect_language)
1 0.012 0.012 24.107 24.107 module.py:1846(load_state_dict)
970/1 0.014 0.000 24.086 24.086 module.py:1884(load)
970 0.043 0.000 24.052 0.025 module.py:1752(_load_from_state_dict)
1259 23.996 0.019 23.996 0.019 {method 'copy_' of 'torch._C._TensorBase' objects}
36032 0.055 0.000 15.511 0.000 functional.py:1811(softmax)
36040 15.454 0.000 15.454 0.000 {method 'softmax' of 'torch._C._TensorBase' objects}
1 0.000 0.000 12.382 12.382 model.py:219(logits)
71424 1.852 0.000 9.426 0.000 model.py:250(save_to_cache)
18160 7.575 0.000 7.575 0.000 {built-in method torch._C._nn.gelu}
18144 0.023 0.000 7.517 0.000 activation.py:683(forward)
35823 7.377 0.000 7.377 0.000 {built-in method torch.cat}
1 0.000 0.000 5.721 5.721 model.py:198(__init__)
64 0.001 0.000 4.816 0.075 model.py:104(__init__)
512 0.002 0.000 4.792 0.009 linear.py:90(__init__)
514 0.003 0.000 4.772 0.009 init.py:366(kaiming_uniform_)
932 4.769 0.005 4.769 0.005 {method 'uniform_' of 'torch._C._TensorBase' objects}
512 0.004 0.000 4.768 0.009 linear.py:103(reset_parameters)
1 0.008 0.008 3.557 3.557 model.py:163(__init__)
187 0.003 0.000 3.459 0.018 __init__.py:1(<module>)
1 0.000 0.000 3.148 3.148 __init__.py:30(_download)
1 0.000 0.000 2.700 2.700 model.py:170(<listcomp>)
54743 0.155 0.000 2.270 0.000 model.py:30(forward)
1 0.001 0.001 2.164 2.164 model.py:132(__init__)
1 0.000 0.000 2.116 2.116 model.py:139(<listcomp>)
54743 0.108 0.000 2.024 0.000 normalization.py:189(forward)
96 0.001 0.000 1.992 0.021 model.py:58(__init__)
54743 0.192 0.000 1.884 0.000 functional.py:2500(layer_norm)
2 1.806 0.903 1.806 0.903 {built-in method _hashlib.openssl_sha256}
54743 1.626 0.000 1.626 0.000 {built-in method torch.layer_norm}
1616 1.538 0.001 1.538 0.001 {method 'read' of '_io.BufferedReader' objects}
1 0.006 0.006 1.513 1.513 audio.py:92(log_mel_spectrogram)
1 0.006 0.006 1.451 1.451 audio.py:22(load_audio)
1 0.000 0.000 1.440 1.440 _run.py:289(run)
1 0.000 0.000 1.424 1.424 subprocess.py:1090(communicate)
1 0.006 0.006 1.424 1.424 subprocess.py:1926(_communicate)
5433 0.004 0.000 1.400 0.000 selectors.py:403(select)
5433 1.395 0.000 1.395 0.000 {method 'poll' of 'select.poll' objects}
1797/4 0.004 0.000 1.219 0.305 <frozen importlib._bootstrap>:1002(_find_and_load)
1778/4 0.003 0.000 1.215 0.304 <frozen importlib._bootstrap>:967(_find_and_load_unlocked)
1657/4 0.004 0.000 1.209 0.302 <frozen importlib._bootstrap>:659(_load_unlocked)
1599/4 0.002 0.000 1.206 0.302 <frozen importlib._bootstrap_external>:844(exec_module)
2203/4 0.001 0.000 1.199 0.300 <frozen importlib._bootstrap>:220(_call_with_frames_removed)
1 0.001 0.001 1.092 1.092 serialization.py:665(load)
1 0.001 0.001 1.088 1.088 serialization.py:1088(_load)
1 0.004 0.004 1.087 1.087 {method 'load' of '_pickle.Unpickler' objects}
1259 0.002 0.000 1.073 0.001 serialization.py:1104(persistent_load)
1259 1.063 0.001 1.070 0.001 serialization.py:1093(load_tensor)
17 0.002 0.000 0.958 0.056 __init__.py:2(<module>)
820/218 0.001 0.000 0.926 0.004 {built-in method builtins.__import__}
1775/215 0.002 0.000 0.896 0.004 <frozen importlib._bootstrap>:1033(_handle_fromlist)
16 0.000 0.000 0.851 0.053 conv.py:312(forward)
16 0.000 0.000 0.851 0.053 model.py:42(_conv_forward)
16 0.000 0.000 0.851 0.053 conv.py:304(_conv_forward)
16 0.851 0.053 0.851 0.053 {built-in method torch.conv1d}
1 0.001 0.001 0.835 0.835 sparse.py:123(__init__)
1 0.000 0.000 0.826 0.826 sparse.py:152(reset_parameters)
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1088990 0.539 0.000 0.540 0.000 module.py:1491(__getattr__)
144136 0.452 0.000 0.452 0.000 {method 'permute' of 'torch._C._TensorBase' objects}
36033 0.445 0.000 0.445 0.000 {method 'flatten' of 'torch._C._TensorBase' objects}
108098 0.397 0.000 0.397 0.000 {method 'view' of 'torch._C._TensorBase' objects}
1 0.000 0.000 0.341 0.341 _meta_registrations.py:1(<module>)
1599 0.005 0.000 0.320 0.000 <frozen importlib._bootstrap_external>:916(get_code)
558 0.039 0.000 0.277 0.000 decoding.py:409(apply)
1 0.000 0.000 0.277 0.277 symbolic_shapes.py:1(<module>)
1657/1652 0.002 0.000 0.259 0.000 <frozen importlib._bootstrap>:558(module_from_spec)
50/49 0.000 0.000 0.239 0.005 <frozen importlib._bootstrap_external>:1171(create_module)
50/49 0.237 0.005 0.239 0.005 {built-in method _imp.create_dynamic}
1599 0.002 0.000 0.226 0.000 <frozen importlib._bootstrap_external>:1036(get_data)
363276 0.224 0.000 0.224 0.000 {method 'to' of 'torch._C._TensorBase' objects}
326846 0.224 0.000 0.224 0.000 {built-in method torch._C._get_tracing_state}
1116 0.002 0.000 0.221 0.000 functional.py:1909(log_softmax)
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1 0.000 0.000 0.217 0.217 decoding.py:1(<module>)
1 0.000 0.000 0.214 0.214 tokenizer.py:1(<module>)
2 0.001 0.000 0.188 0.094 tokenizer.py:294(get_tokenizer)
558 0.040 0.000 0.187 0.000 decoding.py:254(update)
1 0.001 0.001 0.185 0.185 tokenizer.py:273(build_tokenizer)
1 0.004 0.004 0.184 0.184 tokenization_utils_base.py:1570(from_pretrained)
2/1 0.000 0.000 0.175 0.175 tokenization_utils_base.py:1787(_from_pretrained)
7 0.002 0.000 0.149 0.021 model.py:233(install_kv_cache_hooks)
4060/7 0.012 0.000 0.147 0.021 module.py:821(apply)
1 0.005 0.005 0.146 0.146 tokenization_gpt2.py:157(__init__)
1 0.000 0.000 0.134 0.134 __init__.py:25(<module>)
3792/3736 0.052 0.000 0.130 0.000 {built-in method builtins.__build_class__}
1 0.000 0.000 0.128 0.128 dependency_versions_check.py:14(<module>)
1808 0.006 0.000 0.126 0.000 <frozen importlib._bootstrap>:901(_find_spec)
1 0.117 0.117 0.121 0.121 tokenization_gpt2.py:194(<listcomp>)
5 0.000 0.000 0.117 0.023 functional.py:1(<module>)
1 0.000 0.000 0.116 0.116 __init__.py:22(<module>)
1804 0.001 0.000 0.116 0.000 <frozen importlib._bootstrap_external>:1415(find_spec)
1804 0.004 0.000 0.115 0.000 <frozen importlib._bootstrap_external>:1383(_get_spec)
122 0.003 0.000 0.114 0.001 tokenization_utils_base.py:2220(encode)
122 0.003 0.000 0.111 0.001 tokenization_utils_base.py:2611(encode_plus)
35740 0.106 0.000 0.106 0.000 {method 'detach' of 'torch._C._TensorBase' objects}
2977 0.011 0.000 0.104 0.000 <frozen importlib._bootstrap_external>:1514(find_spec)
30909/28449 0.012 0.000 0.103 0.000 {built-in method builtins.hasattr}
1 0.000 0.000 0.101 0.101 generic.py:14(<module>)
1 0.000 0.000 0.100 0.100 import_utils.py:14(<module>)
1 0.000 0.000 0.098 0.098 storage.py:1(<module>)
558 0.005 0.000 0.098 0.000 decoding.py:388(apply)
122 0.003 0.000 0.098 0.001 tokenization_gpt2_fast.py:168(_encode_plus)
122 0.007 0.000 0.095 0.001 tokenization_utils_fast.py:477(_encode_plus)
7 0.005 0.001 0.093 0.013 tokenizer.py:137(encode)
65 0.000 0.000 0.089 0.001 __init__.py:19(<module>)
23/19 0.000 0.000 0.089 0.005 __init__.py:109(import_module)
24/19 0.000 0.000 0.089 0.005 <frozen importlib._bootstrap>:1018(_gcd_import)
122 0.001 0.000 0.088 0.001 tokenization_gpt2_fast.py:159(_batch_encode_plus)
122 0.004 0.000 0.087 0.001 tokenization_utils_fast.py:393(_batch_encode_plus)
4060 0.002 0.000 0.082 0.000 model.py:257(install_hooks)
7 0.070 0.010 0.079 0.011 decoding.py:147(cleanup_caching)
6/1 0.000 0.000 0.078 0.078 import_utils.py:1047(__getattr__)
2 0.000 0.000 0.078 0.039 import_utils.py:1061(_get_module)
85 0.000 0.000 0.078 0.001 __init__.py:18(<module>)
92457 0.075 0.000 0.075 0.000 {method 'float' of 'torch._C._TensorBase' objects}
896 0.032 0.000 0.075 0.000 module.py:1358(register_forward_hook)
2 0.000 0.000 0.074 0.037 logging.py:15(<module>)
1599 0.001 0.000 0.074 0.000 <frozen importlib._bootstrap_external>:645(_compile_bytecode)
1599 0.072 0.000 0.072 0.000 {built-in method marshal.loads}
7971 0.002 0.000 0.069 0.000 <frozen importlib._bootstrap_external>:135(_path_stat)
140 0.001 0.000 0.068 0.000 tokenizer.py:140(decode)
8117 0.068 0.000 0.068 0.000 {built-in method posix.stat}
10052 0.005 0.000 0.068 0.000 module.py:2046(children)
1 0.000 0.000 0.067 0.067 sympify.py:1(<module>)
140 0.003 0.000 0.067 0.000 tokenization_utils_base.py:3403(decode)
1 0.000 0.000 0.064 0.064 polyfuncs.py:1(<module>)
1 0.000 0.000 0.064 0.064 specialpolys.py:1(<module>)
10052 0.062 0.000 0.063 0.000 module.py:2055(named_children)
3026 0.001 0.000 0.060 0.000 <frozen importlib._bootstrap_external>:154(_path_isfile)
1 0.009 0.009 0.060 0.060 module.py:1012(to)
3211 0.001 0.000 0.059 0.000 <frozen importlib._bootstrap_external>:145(_path_is_mode_type)
1 0.000 0.000 0.059 0.059 rings.py:1(<module>)
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122 0.057 0.000 0.057 0.000 {method 'encode_batch' of 'tokenizers.Tokenizer' objects}
54743 0.030 0.000 0.056 0.000 __init__.py:31(__get__)
1 0.000 0.000 0.053 0.053 _errors.py:1(<module>)
140 0.002 0.000 0.052 0.000 tokenization_utils_fast.py:538(_decode)
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558 0.043 0.000 0.043 0.000 decoding.py:397(apply)
896 0.043 0.000 0.043 0.000 hooks.py:15(__init__)
8 0.000 0.000 0.043 0.005 linear.py:1(<module>)
44 0.000 0.000 0.043 0.001 metadata.py:562(version)
630 0.003 0.000 0.042 0.000 {built-in method builtins.next}
1765 0.002 0.000 0.040 0.000 re.py:289(_compile)
970/1 0.008 0.000 0.040 0.040 module.py:768(_apply)
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44 0.000 0.000 0.033 0.001 metadata.py:536(distribution)
44 0.000 0.000 0.033 0.001 metadata.py:180(from_name)
1 0.000 0.000 0.032 0.032 errors.py:1(<module>)
1 0.000 0.000 0.032 0.032 std.py:560(__new__)
50571/50517 0.013 0.000 0.032 0.000 {built-in method builtins.getattr}
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372 0.007 0.000 0.031 0.000 metadata.py:462(search)
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1 0.000 0.000 0.030 0.030 std.py:657(get_lock)
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1 0.000 0.000 0.029 0.029 _jit_internal.py:1(<module>)
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96 0.000 0.000 0.029 0.000 dataclasses.py:1012(wrap)
96 0.001 0.000 0.029 0.000 dataclasses.py:809(_process_class)
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1 0.001 0.001 0.027 0.027 context.py:70(RLock)
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1 0.000 0.000 0.025 0.025 tokenization_gpt2_fast.py:127(__init__)
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1 0.000 0.000 0.025 0.025 convert_slow_tokenizer.py:1137(convert_slow_tokenizer)
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1 0.000 0.000 0.021 0.021 quantize.py:2(<module>)
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