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| import torch | |
| device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') | |
| print('Using device:', device) | |
| print() | |
| #Additional Info when using cuda | |
| if device.type == 'cuda': | |
| print(torch.cuda.get_device_name(0)) | |
| print('Memory Usage:') | |
| print('Allocated:', round(torch.cuda.memory_allocated(0)/1024**3,1), 'GB') |
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| import random | |
| import torch | |
| import numpy as np | |
| def seed_everything(seed: int): | |
| random.seed(seed) | |
| os.environ['PYTHONHASHSEED'] = str(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| if torch.cuda.is_available(): |
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| x | sol | |
|---|---|---|
| -12.1748046875 | 0 | |
| 11.991466522216797 | 0 | |
| -12.00814437866211 | 0 | |
| 11.986132621765137 | 0 | |
| -12.007420539855957 | 0 | |
| 12.002096176147461 | 0 | |
| 12.192679405212402 | 0 | |
| 12.278199195861816 | 0 | |
| -12.004239082336426 | 0 |
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| trcr_time_stamp | trcr_co2_conc_pct | predicted_label | |
|---|---|---|---|
| 2019-03-13 09:51:20 | 0.4621884093538548 | 0.0 | |
| 2019-03-13 09:51:30 | 0.48048942958314345 | 0.0 | |
| 2019-03-13 09:51:40 | 0.5470032574779469 | 0.0 | |
| 2019-03-13 09:51:41 | 0.553655402428856 | 0.0 | |
| 2019-03-13 09:51:50 | 0.6097581052057149 | 0.0 | |
| 2019-03-13 09:52:00 | 0.5908580260933587 | 0.0 | |
| 2019-03-13 09:52:10 | 0.49999009190142507 | 0.0 | |
| 2019-03-13 09:52:20 | 0.48048942958314345 | 0.0 | |
| 2019-03-13 09:52:30 | 0.44938104870363965 | 9.0 |
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| time | amplitude | |
|---|---|---|
| 0 | 0.000096 | |
| 0.001 | 0.000134 | |
| 0.002 | 0.000108 | |
| 0.003 | 0.000112 | |
| 0.004 | 0.000115 | |
| 0.005 | 0.00014 | |
| 0.006 | 0.000144 | |
| 0.007 | 0.000126 | |
| 0.008 | 0.000108 |
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| 0 | ||
|---|---|---|
| 0 | 68.86199951171875 | |
| 1 | 68.77896118164062 | |
| 2 | 68.7582015991211 | |
| 3 | 68.7533187866211 | |
| 4 | 68.7520980834961 | |
| 5 | 68.59825897216797 | |
| 6 | 68.55979919433594 | |
| 7 | 68.69412231445312 | |
| 8 | 68.72769927978516 |
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| Load well | |
| query solution | |
| http://zbumper:8011/gql/ | |
| mutation load_well { | |
| cmd_load_well_from_tao2db( | |
| well: { | |
| opru_fld_nme: "EXAMPLE" | |
| prod_govt_lse_nbr: "A" | |
| well_nbr: "A1" |
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| default_language_version: | |
| python: python | |
| repos: | |
| - repo: https://github.com/pre-commit/pre-commit-hooks | |
| rev: v2.2.0 | |
| hooks: | |
| - id: trailing-whitespace | |
| types: [python] | |
| - id: end-of-file-fixer | |
| types: [python] |
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| from django.db import connection, reset_queries | |
| import time | |
| import functools | |
| def query_debugger(func): | |
| @functools.wraps(func) | |
| def inner_func(*args, **kwargs): | |
| reset_queries() |
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| # Unfortunately I am still working with `blob` | |
| ==================================== | |
| PyCharm | |
| LINE on chrome | |
| MS team on Linux | |
| Slack or use web | |
| WhatsApp or use web | |
| zoom feature in Gnome3 https://unix.stackexchange.com/questions/33243/does-gnome-3-support-desktop-zoom |
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