Wheelodex » Projects » ikkuna

ikkuna

View on PyPI — Reverse Dependencies (0)

0.1.0.post2 ikkuna-0.1.0.post2-py3-none-any.whl

Wheel Details

Project: ikkuna
Version: 0.1.0.post2
Filename: ikkuna-0.1.0.post2-py3-none-any.whl
Download: [link]
Size: 53608
MD5: 571a73ecae209202536f7ca7a60515f1
SHA256: d79fe33270dc63e4db2b1c97254326c6b69a032cf31680c2b8403da2f8ca4fb7
Uploaded: 2019-02-28 14:02:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: ikkuna
Version: 0.1.0.post2
Summary: Ikkuna Neural Network Monitor
Author: Rasmus Diederichsen
Author-Email: rasmus[at]peltarion.com
Home-Page: https://peltarion.github.io/ai_ikkuna/
Keywords: deep-learning,pytorch,neural-networks,machine-learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Requires-Dist: numpy (>=1.15.0)
Requires-Dist: Cython (>=0.28.5)
Requires-Dist: tensorboardX
Requires-Dist: tqdm (>=4.24.0)
Requires-Dist: sphinx-argparse (>=0.2.2)
Requires-Dist: sphinx-rtd-theme (>=0.4.3)
Requires-Dist: matplotlib (>=2.2.0)
Requires-Dist: sphinx (>=1.7.5)
Description-Content-Type: text/markdown
[Description omitted; length: 1380 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ikkuna/export/__init__.py sha256=ct6wckFnhcDZNglAONCrDDWmBvqd4uEEFwuxagsMd4w 53
ikkuna/export/export.py sha256=iudkX3N1cIhzkRlEzX8oIHA56tPHw91-XdSun4iRnWk 20526
ikkuna/export/messages.py sha256=qglVz5IddQsQo9kflw_4dNtT6PybIw5a6-Fhwic6btY 14897
ikkuna/export/subscriber/__init__.py sha256=AAIZrX0mpIyEwBZt0AN8RuDIsaBmxxwgSSkocbE_N6M 1230
ikkuna/export/subscriber/condition.py sha256=GE8ShXYu9dK_ejZ6FUxE7qsZTECDCU6_s6zlivwK8Rk 3541
ikkuna/export/subscriber/hessian_eig.py sha256=2LEtDsadxPfd5KlPJty1fT46Pt8RlStrx7l8fVB7rfc 4230
ikkuna/export/subscriber/histogram.py sha256=1qq3J8Up_xIDjX-Gd8Z9_HoZNvbI9EFQNg03bCV8Ya0 1274
ikkuna/export/subscriber/loss.py sha256=AcCSaUJJvkmzebBLBZue0WJSoLRhj3Df847rRilH9Vs 931
ikkuna/export/subscriber/mean.py sha256=DTYt08f5Hf4rdO0D_ztyYhXkeHEp1wl-CkJyC3ZARn4 1582
ikkuna/export/subscriber/message_mean.py sha256=dFqiUg9h3cUEOTIjUPETfYR2_ENy92rH22XRtlDPcak 1994
ikkuna/export/subscriber/norm.py sha256=rQkGlJL9GzySD0Pk4lN7ARFhLxdLJ-E_yB2LfPkZc4U 1674
ikkuna/export/subscriber/ratio.py sha256=tOQLbiFGJp1IYQ8Q2Iyk19Wzf2z9wzx0MgzsrkbwYBs 2861
ikkuna/export/subscriber/spectral_norm.py sha256=MhEiw4YXBJcPk0lNdHnI0q9G5H1i-iZir-Yz9u7Ijsg 3045
ikkuna/export/subscriber/subscriber.py sha256=zV7EEuiJamfZMMqUmtuw2sdmYgsx4MWySA28C_8XSfY 12759
ikkuna/export/subscriber/sum.py sha256=pPWQAkcn2q1ZeDz3dO9dokUJNKJ8EyN8Vo8KePp6KH8 1565
ikkuna/export/subscriber/svcca.py sha256=mc_U5MB4uI6rCqFJFiuUC1FiFbCO3qztHNQCZ9AJZh8 12020
ikkuna/export/subscriber/test_accuracy.py sha256=EEukK8erq5CrnXYM3XFkej7lG4660Tcqjyi9AYj-ivY 4010
ikkuna/export/subscriber/train_accuracy.py sha256=uqgZyVjW5b3zzQgGo0jTgPlCbkJ5JiSnu0XBjzssX2c 1976
ikkuna/export/subscriber/variance.py sha256=neZ9ASUvGzJj1EX2KweKxvztpXto7gwTa3hsm1l_nnw 1763
ikkuna/models/__init__.py sha256=5VZnxKbjcbPKCngEEqv32hJdbZ94_06K2Qp07Ge8-Pk 1091
ikkuna/models/alexnetmini.py sha256=W7WOnFdaqF4JpO7vTSe3veQKK6k_5F5-x_pl_jw40zA 2737
ikkuna/models/densenet.py sha256=dMA81kYxLFt3niA4MHR4wnC7npcuRFenbdsGL23vKUM 7820
ikkuna/models/fc.py sha256=dg9oXPrOGIIjXP-mx16HSix0aJhtAfPtHL6uPBUTKos 1102
ikkuna/models/resnet.py sha256=9_1XsgfmnwLLiCRrfG65TIL46pkPiK8ZjWq5SXAlM98 6050
ikkuna/models/vgg.py sha256=rvZvw1LRKRndTv-0VbnIJwgMmSzVNRepaqjuJYbm4f0 1507
ikkuna/utils/__init__.py sha256=2VTc1doS0M-hqfGXgVfwzSMjHfnbG4-HWuqDtGO1IvY 249
ikkuna/utils/module_tree.py sha256=kxtDXChej9PPV5W_aY0fgbL2Dns2VxxM_YP10VFdxa0 4093
ikkuna/utils/named_module.py sha256=yfAPKLrNdma_dpAzU7hbP_efZ_bPuk-cAeLuhpOa_L4 187
ikkuna/utils/numba.py sha256=uPo8JBKahS6bzTY7s5UsZsmwm97AQ3bPJeuwvzw0v0c 4045
ikkuna/utils/utils.py sha256=wHc-rxTCThB_HURowXINDdRan6U9MWOm1b8vPMFJq7o 12154
ikkuna/visualization/__init__.py sha256=JhMMu1tc-m_o7mc_IIJHoCdAvy1D19NY0k-kDVETUGg 586
ikkuna/visualization/backend.py sha256=Rl95cF0jMA_TMR68rs5RvLUFuN3BkDZ9Tzp_Aq4WaXo 14118
ikkuna-0.1.0.post2.dist-info/LICENSE sha256=zUar7qHX8w_m_FDjnjPUJdlXnLndXwOo6v7-i1P7CRM 1076
ikkuna-0.1.0.post2.dist-info/METADATA sha256=ZOuqRTOgeP5EsautSVmtNTXRAIG691b_JcdHO_IHH_w 2375
ikkuna-0.1.0.post2.dist-info/WHEEL sha256=U88EhGIw8Sj2_phqajeu_EAi3RAo8-C6zV3REsWbWbs 92
ikkuna-0.1.0.post2.dist-info/entry_points.txt sha256=c6BCRCCzzXyI36B7rYWR-p48oy1lIxDA4SIyYZofuhk 922
ikkuna-0.1.0.post2.dist-info/top_level.txt sha256=ge_CoFPRrUpLd8Ziby3BGj338hhRMmchj3-VcIRwezI 7
ikkuna-0.1.0.post2.dist-info/RECORD — —

top_level.txt

ikkuna

entry_points.txt

[ikkuna.export.subscriber]
BatchedSVCCASubscriber = ikkuna.export.subscriber.svcca:BatchedSVCCASubscriber
HistogramSubscriber = ikkuna.export.subscriber.histogram:HistogramSubscriber
LossSubscriber = ikkuna.export.subscriber.loss:LossSubscriber
MeanSubscriber = ikkuna.export.subscriber.mean:MeanSubscriber
MessageMeanSubscriber = ikkuna.export.subscriber.message_mean:MessageMeanSubscriber
NormSubscriber = ikkuna.export.subscriber.norm:NormSubscriber
RatioSubscriber = ikkuna.export.subscriber.ratio:RatioSubscriber
SVCCASubscriber = ikkuna.export.subscriber.svcca:SVCCASubscriber
SpectralNormSubscriber = ikkuna.export.subscriber.spectral_norm:SpectralNormSubscriber
TestAccuracySubscriber = ikkuna.export.subscriber.test_accuracy:TestAccuracySubscriber
TrainAccuracySubscriber = ikkuna.export.subscriber.train_accuracy:TrainAccuracySubscriber
VarianceSubscriber = ikkuna.export.subscriber.variance:VarianceSubscriber