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2023-11-28 10:58:08.232204: 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-bvp', 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-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
2023-11-28 11:01:45.247087: 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
2023-11-28 11:01:46.045215: 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
2023-11-28 11:01:46.045605: 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, 7)
x shape:  (120, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.4}
2023-11-28 11:01:46.479957: 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
2023-11-28 11:01:46.480395: 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
2023-11-28 11:01:46.480670: 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
2023-11-28 11:01:48.695219: 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
2023-11-28 11:01:48.695621: 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
2023-11-28 11:01:48.695901: 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
2023-11-28 11:01:48.696118: 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
2023-11-28 11:02:07.725989: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600

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29/39 [=====================>........] - ETA: 0s
39/39 [==============================] - 36s 4ms/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
..       ...        ...      ...  ...        ...             ...           ...
585  Pilot02          3  elastic  ...  -0.963534        0.021076      0.457296
586  Pilot02          3  elastic  ...  -0.832011        0.014414      0.611245
587  Pilot02          3  elastic  ...  -0.777954        0.006047      0.831128
588  Pilot02          3  elastic  ...  -4.740700        0.001226      0.965517
589  Pilot02          3  elastic  ...  -0.478754       -0.043455      0.125258

[590 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (115, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 32, 'filter_unit2': 32, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'stride_size0': 3, 'stride_size1': 2, 'stride_size2': 1, 'dropout0': 0.2, 'dropout1': 0.30000000000000004, 'dropout2': 0.2}

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38/39 [============================>.] - ETA: 0s
39/39 [==============================] - 1s 4ms/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
..       ...        ...      ...  ...        ...             ...           ...
585  Pilot02          3  elastic  ...  -0.963534        0.021076      0.457296
586  Pilot02          3  elastic  ...  -0.832011        0.014414      0.611245
587  Pilot02          3  elastic  ...  -0.777954        0.006047      0.831128
588  Pilot02          3  elastic  ...  -4.740700        0.001226      0.965517
589  Pilot02          3  elastic  ...  -0.478754       -0.043455      0.125258

[590 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (115, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0/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
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
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 4, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.4}

 1/39 [..............................] - ETA: 12s
16/39 [===========>..................] - ETA: 0s 
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 4ms/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
..       ...        ...      ...  ...        ...             ...           ...
585  Pilot02          3  elastic  ...  -0.963534        0.021076      0.457296
586  Pilot02          3  elastic  ...  -0.832011        0.014414      0.611245
587  Pilot02          3  elastic  ...  -0.777954        0.006047      0.831128
588  Pilot02          3  elastic  ...  -4.740700        0.001226      0.965517
589  Pilot02          3  elastic  ...  -0.478754       -0.043455      0.125258

[590 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (115, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.0}

 1/39 [..............................] - ETA: 11s
21/39 [===============>..............] - 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
..       ...        ...      ...  ...        ...             ...           ...
585  Pilot02          3  elastic  ...  -0.963534        0.021076      0.457296
586  Pilot02          3  elastic  ...  -0.832011        0.014414      0.611245
587  Pilot02          3  elastic  ...  -0.777954        0.006047      0.831128
588  Pilot02          3  elastic  ...  -4.740700        0.001226      0.965517
589  Pilot02          3  elastic  ...  -0.478754       -0.043455      0.125258

[590 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (110, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 4, 'stride_size0': 4, 'dropout0': 0.0}

 1/39 [..............................] - ETA: 10s
23/39 [================>.............] - 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
..       ...        ...      ...  ...        ...             ...           ...
585  Pilot02          3  elastic  ...  -0.963534        0.021076      0.457296
586  Pilot02          3  elastic  ...  -0.832011        0.014414      0.611245
587  Pilot02          3  elastic  ...  -0.777954        0.006047      0.831128
588  Pilot02          3  elastic  ...  -4.740700        0.001226      0.965517
589  Pilot02          3  elastic  ...  -0.478754       -0.043455      0.125258

[590 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
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
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
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