speaker-lover
speaker-lover
When i run the lstm.sh which in eend/egs/mini_librisppech/v1/local/run_blstm, i get the usingwarning: shared memory size is too small. Please set shared_mem option for MultiprocessIterator. Expect shared memory size: 4298700 bytes....
Traceback (most recent call last): File "main.py", line 256, in cli_main() File "main.py", line 247, in cli_main log_every_n_steps=25, File "/mnt/workspace/workgroup/yfchen/anaconda3/envs/py37/lib/python3.7/site-packages/pytorch_lightning/utilities/argparse.py", line 345, in insert_env_defaults return fn(self, **kwargs) File "/mnt/workspace/workgroup/yfchen/anaconda3/envs/py37/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line...
Thanks for the perfect job. Can you describe how to get 1000 pre-computed RIR filters specifically?
When I input :profit_matrix = np.array([[0.47341415,0.50526756,0.5631776 ,0.55596864,0.5414672,0.5414672], [0.6781792,0.23801588,0.20288624,0.55276686,0.109804,0.109804], [0.42393875,0.370307,0.37129858,0.5507781,0.2596858,0.2596858], [0.52666223,0.57174313,0.5873437,0.6438369,0.5166061,0.5166061], [0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475], [0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475]]) a error will appear as follows. File "models.py", line 41, in minimize_loss H.calculate(np_loss_mat) File "hungarian.py", line 151, in...
When I input :profit_matrix = np.array([[0.47341415,0.50526756,0.5631776 ,0.55596864,0.5414672,0.5414672], [0.6781792,0.23801588,0.20288624,0.55276686,0.109804,0.109804], [0.42393875,0.370307,0.37129858,0.5507781,0.2596858,0.2596858], [0.52666223,0.57174313,0.5873437,0.6438369,0.5166061,0.5166061], [0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475], [0.6931475,0.6931475,0.6931475,0.6931475,0.6931475,0.6931475]]) a error will appear as follows. File "models.py", line 41, in minimize_loss H.calculate(np_loss_mat) File "hungarian.py", line 151, in...