hardnet85

Experiment Information

	0
python_version	3.7.4.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	3.0461 GHz
hz_advertised_raw	[2400000000, 0]
hz_actual_raw	[3046125000, 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	8

	0
name	TITAN V
total_memory	12036 MiB
driver_version	410.78
cuda_version	10.0

	0
0	xmltodict 0.12.0
1	wrapt 1.11.2
2	wheel 0.33.6
3	Werkzeug 0.16.0
4	wcwidth 0.1.7
5	wasabi 0.2.2
6	urllib3 1.25.3
7	ujson 1.35
8	typing 3.7.4
9	typepy 0.6.0
10	traitlets 4.3.2
11	tqdm 4.30.0
12	torchvision 0.4.0+cu92
13	torchtext 0.4.0
14	torch 1.2.0+cu92
15	thop 0.0.31.post1910280903
16	thinc 7.0.4
17	textstat 0.5.6
18	termcolor 1.1.0
19	tensorpack 0.9.8
20	tensorflow 1.13.1
21	tensorflow-gpu 1.14.0
22	tensorflow-estimator 1.14.0
23	tensorboard 1.14.0
24	tabulate 0.8.5
25	tabledata 0.9.1
26	syllapy 0.7.0
27	subword-nmt 0.3.6
28	stevedore 1.30.1
29	stanfordnlp 0.2.0
30	stable-baselines 2.7.0
31	srsly 0.0.5
32	SQLAlchemy 1.3.5
33	spacy 2.1.4
34	spacy-readability 1.4.1
35	soupsieve 1.9.3
36	six 1.12.0
37	Shapely 1.6.4.post2
38	setuptools 41.4.0
39	scipy 1.3.1
40	sacremoses 0.0.35
41	requests 2.22.0
42	repoze.lru 0.7
43	regex 2019.8.19
44	ratelim 0.1.6
45	pyzmq 18.1.0
46	PyYAML 5.1.1
47	pytz 2019.1
48	python-editor 1.0.4
49	python-dateutil 2.8.0
50	pytablewriter 0.46.1
51	pyrsistent 0.15.2
52	Pyphen 0.9.5
53	pyperclip 1.7.0
54	pyparsing 2.4.0
55	PyLaTeX 1.3.0
56	Pygments 2.4.2
57	pyglet 1.3.2
58	pybullet 2.5.1
59	py3nvml 0.2.3
60	py-cpuinfo 5.0.0
61	ptyprocess 0.6.0
62	psutil 5.6.3
63	protobuf 3.9.2
64	prompt-toolkit 2.0.9
65	prettytable 0.7.2
66	preshed 2.0.1
67	plac 0.9.6
68	pip 19.1.1
69	Pillow 6.2.1
70	pickleshare 0.7.5
71	pexpect 4.7.0
72	pbr 5.3.1
73	pathvalidate 0.29.0
74	parso 0.5.1
75	pandas 0.24.2
76	ordered-set 3.1.1
77	optuna 0.15.0
78	opt-einsum 3.1.0
79	opencv-python 4.1.0.25
80	nvidia-ml-py3 7.352.0
81	numpy 1.17.2
82	murmurhash 1.0.2
83	msgpack 0.6.2
84	msgpack-numpy 0.4.4.3
85	msgfy 0.0.7
86	mpi4py 3.0.2
87	morph-net 0.2.1
88	mock 3.0.5
89	mkl-service 2.3.0
90	mkl-random 1.1.0
91	mkl-fft 1.0.14
92	mbstrdecoder 0.8.1
93	matplotlib 3.1.0
94	MarkupSafe 1.1.1
95	Markdown 3.1.1
96	Mako 1.0.13
97	lark-parser 0.7.3
98	kiwisolver 1.1.0
99	Keras-Preprocessing 1.1.0
100	Keras-Applications 1.0.8
101	jsonschema 3.0.1
102	jsonpickle 1.2
103	joblib 0.13.2
104	jedi 0.14.1
105	ipython 7.6.1
106	ipython-genutils 0.2.0
107	idna 2.8
108	h5py 2.10.0
109	gym 0.13.0
110	grpcio 1.24.0
111	gpustat 0.5.0
112	google-pasta 0.1.7
113	gin-config 0.1.4
114	geocoder 1.38.1
115	gast 0.2.2
116	future 0.17.1
117	essential-generators 0.9.2
118	enum34 1.1.6
119	en-core-web-sm 2.1.0
120	deepdiff 4.0.8
121	decorator 4.4.0
122	DataProperty 0.43.1
123	Cython 0.29.13
124	cymem 2.0.2
125	cycler 0.10.0
126	contextlib2 0.5.5
127	ConfigArgParse 0.14.0
128	commentjson 0.8.1
129	colorlog 4.0.2
130	colorama 0.4.1
131	cmd2 0.9.14
132	cloudpickle 1.2.1
133	cliff 2.15.0
134	Click 7.0
135	chardet 3.0.4
136	certifi 2019.9.11
137	bs4 0.0.1
138	blis 0.2.4
139	blessings 1.7
140	beautifulsoup4 4.8.0
141	baselines 0.1.6
142	backcall 0.1.0
143	attrs 19.1.0
144	atari-py 0.2.0
145	astor 0.8.0
146	arrow 0.15.2
147	apex 0.1
148	alembic 1.0.11
149	absl-py 0.8.0
150	pyrouge 0.1.3
151	torchcule 0.1.0
152	experiment-impact-tracker 0.1

	0
Realtime Carbon Intensity Data Source	http://www.caiso.com/outlook/SP/History/<date>/co2.csv
Realtime Carbon Intensity Average During Exp	344.548
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

	0	1
0	Key	Value
1	cpu_hours	0.213242
2	gpu_hours	0.104596
3	estimated_carbon_impact_kg	0.00978505
4	total_power	0.0284055
5	kw_hr_gpu	0.013809
6	kw_hr_cpu	0.0041692
7	exp_len_hours	0.207201
8	average_realtime_carbon_intensity	344.548

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