Training a zipformer with a recent icefall/k2 install results in a crash:
2023-11-29 13:02:22,614 INFO [train.py:1138] About to create model
2023-11-29 13:02:22,996 INFO [train.py:1142] Number of model parameters: 65549011
terminate called after throwing an instance of 'c10::Error'
what(): Error: cannot set number of interop threads after parallel work has started or set_num_interop_threads called
Exception raised from set_num_interop_threads at ../aten/src/ATen/ParallelThreadPoolNative.cpp:54 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x154f981a5617 in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) + 0x68 (0x154f98160a56 in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libc10.so)
frame #2: + 0x1826cbf (0x154f59d7acbf in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libtorch_cpu.so)
frame #3: + 0x70c26a (0x154f7028526a in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libtorch_python.so)
frame #4: python3() [0x52422b]
frame #7: python3() [0x5c82ce]
My env:
'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.4', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'd12eec7521aaa26f49ca0c11c94ea42879a8e71d', 'k2-git-date': 'Mon Oct 23 11:54:42 2023', 'lhotse-version': '1.17.0.dev+git.3c0574f.clean', 'torch-version': '2.1.0+cu121', 'torch-cuda-available': True, 'torch-cuda-version': '12.1', 'python-version': '3.1', 'icefall-git-branch': 'master', 'icefall-git-sha1': 'ae67f75-clean', 'icefall-git-date': 'Sun Nov 26 03:04:15 2023', 'icefall-path': '/home/user/git_projects/icefall1', 'k2-path': '/home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/k2/init.py', 'lhotse-path': '/home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/lhotse/init.py', 'hostname': 'gpu3', 'IP address': '127.0.1.1'}, 'world_size': 1, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 50, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('zipformer/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'base_lr': 0.045, 'lr_batches': 7500, 'lr_epochs': 3.5, 'ref_duration': 600, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'ctc_loss_scale': 0.2, 'seed': 42, 'print_diagnostics': False, 'inf_check': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 200, 'use_fp16': True, 'trnmanifest': PosixPath('data/fbank/cuts_trn.jsonl.gz'), 'devmanifest': PosixPath('data/fbank/cuts_dev.jsonl.gz'), 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': False, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'use_transducer': True, 'use_ctc': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 500, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'blank_id': 0, 'vocab_size': 500}
Training a zipformer with a recent icefall/k2 install results in a crash:
2023-11-29 13:02:22,614 INFO [train.py:1138] About to create model
2023-11-29 13:02:22,996 INFO [train.py:1142] Number of model parameters: 65549011
terminate called after throwing an instance of 'c10::Error'
what(): Error: cannot set number of interop threads after parallel work has started or set_num_interop_threads called
Exception raised from set_num_interop_threads at ../aten/src/ATen/ParallelThreadPoolNative.cpp:54 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x154f981a5617 in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) + 0x68 (0x154f98160a56 in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libc10.so)
frame #2: + 0x1826cbf (0x154f59d7acbf in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libtorch_cpu.so)
frame #3: + 0x70c26a (0x154f7028526a in /home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/torch/lib/libtorch_python.so)
frame #4: python3() [0x52422b]
frame #7: python3() [0x5c82ce]
My env:
'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.4', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'd12eec7521aaa26f49ca0c11c94ea42879a8e71d', 'k2-git-date': 'Mon Oct 23 11:54:42 2023', 'lhotse-version': '1.17.0.dev+git.3c0574f.clean', 'torch-version': '2.1.0+cu121', 'torch-cuda-available': True, 'torch-cuda-version': '12.1', 'python-version': '3.1', 'icefall-git-branch': 'master', 'icefall-git-sha1': 'ae67f75-clean', 'icefall-git-date': 'Sun Nov 26 03:04:15 2023', 'icefall-path': '/home/user/git_projects/icefall1', 'k2-path': '/home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/k2/init.py', 'lhotse-path': '/home/user/miniconda3/envs/icefall1/lib/python3.11/site-packages/lhotse/init.py', 'hostname': 'gpu3', 'IP address': '127.0.1.1'}, 'world_size': 1, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 50, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('zipformer/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'base_lr': 0.045, 'lr_batches': 7500, 'lr_epochs': 3.5, 'ref_duration': 600, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'ctc_loss_scale': 0.2, 'seed': 42, 'print_diagnostics': False, 'inf_check': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 200, 'use_fp16': True, 'trnmanifest': PosixPath('data/fbank/cuts_trn.jsonl.gz'), 'devmanifest': PosixPath('data/fbank/cuts_dev.jsonl.gz'), 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': False, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'use_transducer': True, 'use_ctc': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 500, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'blank_id': 0, 'vocab_size': 500}