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dump_wavlm/raw_tts_librispeech/test_clean/index_files/wav.scp ADDED
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dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.1.log ADDED
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1
+ # Running on gh124.hsn.cm.delta.internal.ncsa.edu
2
+ # Started at Mon Nov 4 20:25:18 CST 2024
3
+ # SLURMD_NODENAME=gh124
4
+ # SLURM_ARRAY_JOB_ID=123448
5
+ # SLURM_ARRAY_TASK_COUNT=4
6
+ # SLURM_ARRAY_TASK_ID=1
7
+ # SLURM_ARRAY_TASK_MAX=4
8
+ # SLURM_ARRAY_TASK_MIN=1
9
+ # SLURM_ARRAY_TASK_STEP=1
10
+ # SLURM_CLUSTER_NAME=delta-gh
11
+ # SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
12
+ # SLURM_CPUS_ON_NODE=70
13
+ # SLURM_CPUS_PER_TASK=70
14
+ # SLURM_EXPORT_ENV=PATH
15
+ # SLURM_GET_USER_ENV=1
16
+ # SLURM_GPUS_ON_NODE=1
17
+ # SLURM_GTIDS=0
18
+ # SLURM_JOBID=123454
19
+ # SLURM_JOB_ACCOUNT=bbjs-dtai-gh
20
+ # SLURM_JOB_CPUS_PER_NODE=70
21
+ # SLURM_JOB_END_TIME=1730780648
22
+ # SLURM_JOB_GID=202
23
+ # SLURM_JOB_GPUS=3
24
+ # SLURM_JOB_ID=123454
25
+ # SLURM_JOB_NAME=codec_dump_inhouse.sh
26
+ # SLURM_JOB_NODELIST=gh124
27
+ # SLURM_JOB_NUM_NODES=1
28
+ # SLURM_JOB_PARTITION=ghx4-interactive
29
+ # SLURM_JOB_QOS=bbjs-dtai-gh
30
+ # SLURM_JOB_START_TIME=1730773508
31
+ # SLURM_JOB_UID=70375
32
+ # SLURM_JOB_USER=jtian1
33
+ # SLURM_LOCALID=0
34
+ # SLURM_MEM_PER_NODE=120000
35
+ # SLURM_NNODES=1
36
+ # SLURM_NODEID=0
37
+ # SLURM_NODELIST=gh124
38
+ # SLURM_NODE_ALIASES='(null)'
39
+ # SLURM_OPEN_MODE=a
40
+ # SLURM_PRIO_PROCESS=0
41
+ # SLURM_PROCID=0
42
+ # SLURM_SUBMIT_DIR=/work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1
43
+ # SLURM_SUBMIT_HOST=gh-login01.delta.ncsa.illinois.edu
44
+ # SLURM_TASKS_PER_NODE=1
45
+ # SLURM_TASK_PID=1427479
46
+ # SLURM_TOPOLOGY_ADDR=deltaai_fabric.chassis_x8104c2.gh124
47
+ # SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
48
+ # SLURM_WORKING_CLUSTER=delta-gh:dtai-sched:6817:9984:109
49
+ # python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank 1 --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.1.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.1.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.1.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.1.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.1.scp
50
+ 2024-11-04 20:25:23 | INFO | dump_codec | build with codec_choice: inhouse
51
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/tools/miniconda3/envs/speechlm_data/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
52
+ WeightNorm.apply(module, name, dim)
53
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/espnet2/speechlm/tokenizer/codec_tokenizer.py:120: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
54
+ state_dict = torch.load(model_path, map_location="cpu")
55
+ # Accounting: begin_time=1730773518
56
+ # Accounting: end_time=1730773536
57
+ # Accounting: time=18 threads=1
58
+ # Finished at Mon Nov 4 20:25:36 CST 2024 with status 0
dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.2.log ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Running on gh134.hsn.cm.delta.internal.ncsa.edu
2
+ # Started at Mon Nov 4 20:25:49 CST 2024
3
+ # SLURMD_NODENAME=gh134
4
+ # SLURM_ARRAY_JOB_ID=123448
5
+ # SLURM_ARRAY_TASK_COUNT=4
6
+ # SLURM_ARRAY_TASK_ID=2
7
+ # SLURM_ARRAY_TASK_MAX=4
8
+ # SLURM_ARRAY_TASK_MIN=1
9
+ # SLURM_ARRAY_TASK_STEP=1
10
+ # SLURM_CLUSTER_NAME=delta-gh
11
+ # SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
12
+ # SLURM_CPUS_ON_NODE=70
13
+ # SLURM_CPUS_PER_TASK=70
14
+ # SLURM_EXPORT_ENV=PATH
15
+ # SLURM_GET_USER_ENV=1
16
+ # SLURM_GPUS_ON_NODE=1
17
+ # SLURM_GTIDS=0
18
+ # SLURM_JOBID=123455
19
+ # SLURM_JOB_ACCOUNT=bbjs-dtai-gh
20
+ # SLURM_JOB_CPUS_PER_NODE=70
21
+ # SLURM_JOB_END_TIME=1730780678
22
+ # SLURM_JOB_GID=202
23
+ # SLURM_JOB_GPUS=0
24
+ # SLURM_JOB_ID=123455
25
+ # SLURM_JOB_NAME=codec_dump_inhouse.sh
26
+ # SLURM_JOB_NODELIST=gh134
27
+ # SLURM_JOB_NUM_NODES=1
28
+ # SLURM_JOB_PARTITION=ghx4-interactive
29
+ # SLURM_JOB_QOS=bbjs-dtai-gh
30
+ # SLURM_JOB_START_TIME=1730773538
31
+ # SLURM_JOB_UID=70375
32
+ # SLURM_JOB_USER=jtian1
33
+ # SLURM_LOCALID=0
34
+ # SLURM_MEM_PER_NODE=120000
35
+ # SLURM_NNODES=1
36
+ # SLURM_NODEID=0
37
+ # SLURM_NODELIST=gh134
38
+ # SLURM_NODE_ALIASES='(null)'
39
+ # SLURM_OPEN_MODE=a
40
+ # SLURM_PRIO_PROCESS=0
41
+ # SLURM_PROCID=0
42
+ # SLURM_SUBMIT_DIR=/work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1
43
+ # SLURM_SUBMIT_HOST=gh-login01.delta.ncsa.illinois.edu
44
+ # SLURM_TASKS_PER_NODE=1
45
+ # SLURM_TASK_PID=1610989
46
+ # SLURM_TOPOLOGY_ADDR=deltaai_fabric.chassis_x8104c2.gh134
47
+ # SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
48
+ # SLURM_WORKING_CLUSTER=delta-gh:dtai-sched:6817:9984:109
49
+ # python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank 2 --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.2.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.2.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.2.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.2.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.2.scp
50
+ 2024-11-04 20:25:55 | INFO | dump_codec | build with codec_choice: inhouse
51
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/tools/miniconda3/envs/speechlm_data/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
52
+ WeightNorm.apply(module, name, dim)
53
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/espnet2/speechlm/tokenizer/codec_tokenizer.py:120: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
54
+ state_dict = torch.load(model_path, map_location="cpu")
55
+ # Accounting: begin_time=1730773549
56
+ # Accounting: end_time=1730773568
57
+ # Accounting: time=19 threads=1
58
+ # Finished at Mon Nov 4 20:26:08 CST 2024 with status 0
dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.3.log ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Running on gh134.hsn.cm.delta.internal.ncsa.edu
2
+ # Started at Mon Nov 4 20:25:49 CST 2024
3
+ # SLURMD_NODENAME=gh134
4
+ # SLURM_ARRAY_JOB_ID=123448
5
+ # SLURM_ARRAY_TASK_COUNT=4
6
+ # SLURM_ARRAY_TASK_ID=3
7
+ # SLURM_ARRAY_TASK_MAX=4
8
+ # SLURM_ARRAY_TASK_MIN=1
9
+ # SLURM_ARRAY_TASK_STEP=1
10
+ # SLURM_CLUSTER_NAME=delta-gh
11
+ # SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
12
+ # SLURM_CPUS_ON_NODE=70
13
+ # SLURM_CPUS_PER_TASK=70
14
+ # SLURM_EXPORT_ENV=PATH
15
+ # SLURM_GET_USER_ENV=1
16
+ # SLURM_GPUS_ON_NODE=1
17
+ # SLURM_GTIDS=0
18
+ # SLURM_JOBID=123456
19
+ # SLURM_JOB_ACCOUNT=bbjs-dtai-gh
20
+ # SLURM_JOB_CPUS_PER_NODE=70
21
+ # SLURM_JOB_END_TIME=1730780678
22
+ # SLURM_JOB_GID=202
23
+ # SLURM_JOB_GPUS=1
24
+ # SLURM_JOB_ID=123456
25
+ # SLURM_JOB_NAME=codec_dump_inhouse.sh
26
+ # SLURM_JOB_NODELIST=gh134
27
+ # SLURM_JOB_NUM_NODES=1
28
+ # SLURM_JOB_PARTITION=ghx4-interactive
29
+ # SLURM_JOB_QOS=bbjs-dtai-gh
30
+ # SLURM_JOB_START_TIME=1730773538
31
+ # SLURM_JOB_UID=70375
32
+ # SLURM_JOB_USER=jtian1
33
+ # SLURM_LOCALID=0
34
+ # SLURM_MEM_PER_NODE=120000
35
+ # SLURM_NNODES=1
36
+ # SLURM_NODEID=0
37
+ # SLURM_NODELIST=gh134
38
+ # SLURM_NODE_ALIASES='(null)'
39
+ # SLURM_OPEN_MODE=a
40
+ # SLURM_PRIO_PROCESS=0
41
+ # SLURM_PROCID=0
42
+ # SLURM_SUBMIT_DIR=/work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1
43
+ # SLURM_SUBMIT_HOST=gh-login01.delta.ncsa.illinois.edu
44
+ # SLURM_TASKS_PER_NODE=1
45
+ # SLURM_TASK_PID=1610997
46
+ # SLURM_TOPOLOGY_ADDR=deltaai_fabric.chassis_x8104c2.gh134
47
+ # SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
48
+ # SLURM_WORKING_CLUSTER=delta-gh:dtai-sched:6817:9984:109
49
+ # python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank 3 --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.3.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.3.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.3.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.3.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.3.scp
50
+ 2024-11-04 20:25:56 | INFO | dump_codec | build with codec_choice: inhouse
51
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/tools/miniconda3/envs/speechlm_data/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
52
+ WeightNorm.apply(module, name, dim)
53
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/espnet2/speechlm/tokenizer/codec_tokenizer.py:120: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
54
+ state_dict = torch.load(model_path, map_location="cpu")
55
+ # Accounting: begin_time=1730773549
56
+ # Accounting: end_time=1730773568
57
+ # Accounting: time=19 threads=1
58
+ # Finished at Mon Nov 4 20:26:08 CST 2024 with status 0
dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.4.log ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Running on gh134.hsn.cm.delta.internal.ncsa.edu
2
+ # Started at Mon Nov 4 20:25:49 CST 2024
3
+ # SLURMD_NODENAME=gh134
4
+ # SLURM_ARRAY_JOB_ID=123448
5
+ # SLURM_ARRAY_TASK_COUNT=4
6
+ # SLURM_ARRAY_TASK_ID=4
7
+ # SLURM_ARRAY_TASK_MAX=4
8
+ # SLURM_ARRAY_TASK_MIN=1
9
+ # SLURM_ARRAY_TASK_STEP=1
10
+ # SLURM_CLUSTER_NAME=delta-gh
11
+ # SLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf
12
+ # SLURM_CPUS_ON_NODE=70
13
+ # SLURM_CPUS_PER_TASK=70
14
+ # SLURM_EXPORT_ENV=PATH
15
+ # SLURM_GET_USER_ENV=1
16
+ # SLURM_GPUS_ON_NODE=1
17
+ # SLURM_GTIDS=0
18
+ # SLURM_JOBID=123448
19
+ # SLURM_JOB_ACCOUNT=bbjs-dtai-gh
20
+ # SLURM_JOB_CPUS_PER_NODE=70
21
+ # SLURM_JOB_END_TIME=1730780678
22
+ # SLURM_JOB_GID=202
23
+ # SLURM_JOB_GPUS=2
24
+ # SLURM_JOB_ID=123448
25
+ # SLURM_JOB_NAME=codec_dump_inhouse.sh
26
+ # SLURM_JOB_NODELIST=gh134
27
+ # SLURM_JOB_NUM_NODES=1
28
+ # SLURM_JOB_PARTITION=ghx4-interactive
29
+ # SLURM_JOB_QOS=bbjs-dtai-gh
30
+ # SLURM_JOB_START_TIME=1730773538
31
+ # SLURM_JOB_UID=70375
32
+ # SLURM_JOB_USER=jtian1
33
+ # SLURM_LOCALID=0
34
+ # SLURM_MEM_PER_NODE=120000
35
+ # SLURM_NNODES=1
36
+ # SLURM_NODEID=0
37
+ # SLURM_NODELIST=gh134
38
+ # SLURM_NODE_ALIASES='(null)'
39
+ # SLURM_OPEN_MODE=a
40
+ # SLURM_PRIO_PROCESS=0
41
+ # SLURM_PROCID=0
42
+ # SLURM_SUBMIT_DIR=/work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1
43
+ # SLURM_SUBMIT_HOST=gh-login01.delta.ncsa.illinois.edu
44
+ # SLURM_TASKS_PER_NODE=1
45
+ # SLURM_TASK_PID=1610984
46
+ # SLURM_TOPOLOGY_ADDR=deltaai_fabric.chassis_x8104c2.gh134
47
+ # SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.node
48
+ # SLURM_WORKING_CLUSTER=delta-gh:dtai-sched:6817:9984:109
49
+ # python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank 4 --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.4.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.4.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.4.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.4.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.4.scp
50
+ 2024-11-04 20:25:55 | INFO | dump_codec | build with codec_choice: inhouse
51
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/tools/miniconda3/envs/speechlm_data/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
52
+ WeightNorm.apply(module, name, dim)
53
+ /work/nvme/bbjs/jtian1/espnet_speechlm_data/espnet2/speechlm/tokenizer/codec_tokenizer.py:120: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
54
+ state_dict = torch.load(model_path, map_location="cpu")
55
+ # Accounting: begin_time=1730773549
56
+ # Accounting: end_time=1730773568
57
+ # Accounting: time=19 threads=1
58
+ # Finished at Mon Nov 4 20:26:08 CST 2024 with status 0
dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/.kick ADDED
File without changes
dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.log ADDED
@@ -0,0 +1 @@
 
 
1
+ Submitted batch job 123448
dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.sh ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ cd /work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1
3
+ . ./path.sh
4
+ ( echo '#' Running on `hostname`
5
+ echo '#' Started at `date`
6
+ set | grep SLURM | while read line; do echo "# $line"; done
7
+ echo -n '# '; cat <<EOF
8
+ python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.${SLURM_ARRAY_TASK_ID}.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.${SLURM_ARRAY_TASK_ID}.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.${SLURM_ARRAY_TASK_ID}.scp
9
+ EOF
10
+ ) >dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
11
+ if [ "$CUDA_VISIBLE_DEVICES" == "NoDevFiles" ]; then
12
+ ( echo CUDA_VISIBLE_DEVICES set to NoDevFiles, unsetting it...
13
+ )>>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
14
+ unset CUDA_VISIBLE_DEVICES
15
+ fi
16
+ time1=`date +"%s"`
17
+ ( python3 pyscripts/feats/dump_codec.py --codec_choice inhouse --codec_fs 16000 --batch_size 3 --bias 0 --dump_audio false --rank ${SLURM_ARRAY_TASK_ID} --vocab_file dump_wavlm/raw_tts_librispeech/test_clean/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.${SLURM_ARRAY_TASK_ID}.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_resyn_inhouse.${SLURM_ARRAY_TASK_ID}.scp --checkpoint_path null --config_path null --hf_model_tag null scp:dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.${SLURM_ARRAY_TASK_ID}.scp ark,scp:dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.${SLURM_ARRAY_TASK_ID}.ark,dump_wavlm/raw_tts_librispeech/test_clean/data/wav_codec_inhouse.${SLURM_ARRAY_TASK_ID}.scp ) &>>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
18
+ ret=$?
19
+ sync || true
20
+ time2=`date +"%s"`
21
+ echo '#' Accounting: begin_time=$time1 >>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
22
+ echo '#' Accounting: end_time=$time2 >>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
23
+ echo '#' Accounting: time=$(($time2-$time1)) threads=1 >>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
24
+ echo '#' Finished at `date` with status $ret >>dump_wavlm/raw_tts_librispeech/test_clean/logdir/codec_dump_inhouse.$SLURM_ARRAY_TASK_ID.log
25
+ [ $ret -eq 137 ] && exit 100;
26
+ touch dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/done.526326.$SLURM_ARRAY_TASK_ID
27
+ exit $[$ret ? 1 : 0]
28
+ ## submitted with:
29
+ # sbatch --export=PATH -p ghx4-interactive --gres=gpu:1 -c 70 --mem 120000M --account=bbjs-dtai-gh --time 1:59:00 --open-mode=append -e dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.log -o dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.log --array 1-4 /work/nvme/bbjs/jtian1/espnet_speechlm_data/egs2/yodas/speechlm1/dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.sh >>dump_wavlm/raw_tts_librispeech/test_clean/logdir/q/codec_dump_inhouse.log 2>&1
dump_wavlm/raw_tts_librispeech/test_clean/logdir/wav.1.scp ADDED
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dump_wavlm/raw_tts_librispeech/test_clean/wav.scp ADDED
The diff for this file is too large to render. See raw diff