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2023-11-24 12:34:24.890691: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Using TensorFlow backend
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
Using pre-set data id: 1
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
2023-11-24 12:36:40.270699: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.035589: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.035830: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
input shape: (1440, 6)
x shape: (120, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.0}
2023-11-24 12:36:43.462118: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.462331: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.462473: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325218: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325450: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325612: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325738: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14720 MB memory: -> device: 0, name: Quadro RTX 5000, pci bus id: 0000:0b:00.0, compute capability: 7.5
2023-11-24 12:37:51.398601: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
1/39 [..............................] - ETA: 43:41
23/39 [================>.............] - ETA: 0s
39/39 [==============================] - 69s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
QStandardPaths: XDG_RUNTIME_DIR points to non-existing path '/run/user/56779', please create it with 0700 permissions.
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 2, 'stride_size0': 3, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0
train
(35921, 10)
test
(364536, 9)
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.1, 'dropout1': 0.30000000000000004}
1/39 [..............................] - ETA: 10s
24/39 [=================>............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 3, 'dropout0': 0.1}
1/39 [..............................] - ETA: 5s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/tuner0.json
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
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