Experiment Information
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CPU Info
0 | |
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python_version | 3.7.5.final.0 (64 bit) |
cpuinfo_version | [5, 0, 0] |
arch | X86_64 |
bits | 64 |
count | 32 |
raw_arch_string | x86_64 |
vendor_id | GenuineIntel |
brand | Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz |
hz_advertised | 2.4000 GHz |
hz_actual | 1.2001 GHz |
hz_advertised_raw | [2400000000, 0] |
hz_actual_raw | [1200093000, 0] |
stepping | 2 |
model | 63 |
family | 6 |
flags | [abm, acpi, aes, aperfmperf, apic, arat, arch_perfmon, avx, avx2, bmi1, bmi2, bts, clflush, cmov, constant_tsc, cqm, cqm_llc, cqm_occup_llc, cx16, cx8, dca, de, ds_cpl, dtes64, dtherm, dts, eagerfpu, epb, ept, erms, est, f16c, flexpriority, fma, fpu, fsgsbase, fxsr, ht, ida, invpcid, invpcid_single, kaiser, lahf_lm, lm, mca, mce, mmx, monitor, movbe, msr, mtrr, nonstop_tsc, nopl, nx, pae, pat, pbe, pcid, pclmulqdq, pdcm, pdpe1gb, pebs, pge, pln, pni, popcnt, pse, pse36, pts, rdrand, rdtscp, rep_good, retpoline, sdbg, sep, smep, smx, ss, sse, sse2, sse4_1, sse4_2, ssse3, syscall, tm, tm2, tpr_shadow, tsc, tsc_adjust, tsc_deadline_timer, vme, vmx, vnmi, vpid, x2apic, xsave, xsaveopt, xtopology, xtpr] |
l3_cache_size | 20480 KB |
l2_cache_size | 256 KB |
l1_data_cache_size | 32 KB |
l1_instruction_cache_size | 32 KB |
usable_cpus | 16 |
GPU Info
0 | |
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name | TITAN V |
total_memory | 12036 MiB |
driver_version | 410.78 |
cuda_version | 10.0 |
Package Info
0 | |
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0 | wrapt 1.11.2 |
1 | wheel 0.33.6 |
2 | Werkzeug 0.16.0 |
3 | wcwidth 0.1.7 |
4 | urllib3 1.25.6 |
5 | ujson 1.35 |
6 | typing 3.7.4.1 |
7 | tqdm 4.36.1 |
8 | torchvision 0.4.0+cu92 |
9 | torch 1.2.0+cu92 |
10 | thop 0.0.31.post1910280903 |
11 | termcolor 1.1.0 |
12 | tensorpack 0.9.8 |
13 | tensorflow-gpu 1.14.0 |
14 | tensorflow-estimator 1.14.0 |
15 | tensorboard 1.14.0 |
16 | tabulate 0.8.5 |
17 | stevedore 1.31.0 |
18 | stable-baselines 2.8.0 |
19 | SQLAlchemy 1.3.10 |
20 | soupsieve 1.9.4 |
21 | six 1.12.0 |
22 | Shapely 1.6.4.post2 |
23 | setuptools 41.6.0.post20191030 |
24 | scipy 1.3.1 |
25 | requests 2.22.0 |
26 | ratelim 0.1.6 |
27 | pyzmq 18.1.0 |
28 | PyYAML 5.1.2 |
29 | pytz 2019.3 |
30 | python-editor 1.0.4 |
31 | python-dateutil 2.8.0 |
32 | pyperclip 1.7.0 |
33 | pyparsing 2.4.2 |
34 | PyLaTeX 1.3.1 |
35 | pyglet 1.3.2 |
36 | py-cpuinfo 5.0.0 |
37 | psutil 5.6.3 |
38 | protobuf 3.10.0 |
39 | prettytable 0.7.2 |
40 | pip 19.3.1 |
41 | Pillow 6.2.1 |
42 | pbr 5.4.3 |
43 | pandas 0.24.2 |
44 | ordered-set 3.1.1 |
45 | optuna 0.17.1 |
46 | opencv-python 4.1.1.26 |
47 | numpy 1.17.3 |
48 | msgpack 0.6.2 |
49 | msgpack-numpy 0.4.4.3 |
50 | mpi4py 3.0.2 |
51 | matplotlib 3.1.1 |
52 | MarkupSafe 1.1.1 |
53 | Markdown 3.1.1 |
54 | Mako 1.1.0 |
55 | kiwisolver 1.1.0 |
56 | Keras-Preprocessing 1.1.0 |
57 | Keras-Applications 1.0.8 |
58 | jsonpickle 1.2 |
59 | joblib 0.14.0 |
60 | idna 2.8 |
61 | h5py 2.10.0 |
62 | gym 0.15.3 |
63 | grpcio 1.24.3 |
64 | google-pasta 0.1.7 |
65 | geocoder 1.38.1 |
66 | gast 0.3.2 |
67 | future 0.18.1 |
68 | deepdiff 4.0.8 |
69 | decorator 4.4.1 |
70 | cycler 0.10.0 |
71 | colorlog 4.0.2 |
72 | cmd2 0.8.9 |
73 | cloudpickle 1.2.2 |
74 | cliff 2.16.0 |
75 | Click 7.0 |
76 | chardet 3.0.4 |
77 | certifi 2019.9.11 |
78 | bs4 0.0.1 |
79 | beautifulsoup4 4.8.1 |
80 | atari-py 0.2.6 |
81 | astor 0.8.0 |
82 | arrow 0.15.2 |
83 | alembic 1.2.1 |
84 | absl-py 0.8.1 |
85 | experiment-impact-tracker 0.1.1 |
Carbon Info
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Realtime Carbon Intensity Data Source | http://www.caiso.com/outlook/SP/History/<date>/co2.csv |
Realtime Carbon Intensity Average During Exp | 352.996 |
Region Average Carbon Intensity | 250.733 |
Region Average Carbon Intensity Source | https://github.com/tmrowco/electricitymap-contrib/blob/master/config/co2eq_parameters.json (ElectricityMap Average, 2019) |
Assumed PUE | 1.58 |
Compute Region | California, United States of America |
Experiment Impact Tracker Version | 0.1.1 |
Stats
0 | 1 | |
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0 | Key | Value |
1 | cpu_hours | 6.56931 |
2 | gpu_hours | 0.221961 |
3 | estimated_carbon_impact_kg | 0.0845667 |
4 | total_power | 0.239635 |
5 | kw_hr_gpu | 0.07186 |
6 | kw_hr_cpu | 0.0798075 |
7 | exp_len_hours | 1.68344 |
8 | average_realtime_carbon_intensity | 352.996 |
9 | AverageReturn | 9.08632 |
10 | AsymptoticReturn | 19.04 |
11 | AverageReturnPerkWh | 37.9174 |
12 | AverageEpisodeLength | 2537.82 |
13 | AverageMaximumEpisodeLength | 2993.37 |
Graphs
![](./images_0/16_8/5_min_cpu_count_adjusted_average_load.png)
![](./images_0/16_8/10_min_cpu_count_adjusted_average_load.png)
![](./images_0/16_8/15_min_cpu_count_adjusted_average_load.png)
![](./images_0/16_8/rapl_power_draw_absolute.png)
![](./images_0/16_8/rapl_estimated_attributable_power_draw.png)
![](./images_0/16_8/average_relative_cpu_utilization.png)
![](./images_0/16_8/absolute_cpu_utilization.png)
![](./images_0/16_8/relative_mem_usage.png)
![](./images_0/16_8/absolute_mem_usage.png)
![](./images_0/16_8/absolute_mem_percent_usage.png)
![](./images_0/16_8/nvidia_draw_absolute.png)
![](./images_0/16_8/nvidia_estimated_attributable_power_draw.png)
![](./images_0/16_8/average_gpu_estimated_utilization_absolute.png)
![](./images_0/16_8/average_gpu_estimated_utilization_relative.png)
![](./images_0/16_8/realtime_carbon_intensity.png)
![](./images_0/16_8/disk_write_speed.png)
![](./images_0/16_8/per_gpu_power_draw.0.png)