Wheelodex » Projects » deepview-predict

deepview-predict

View on PyPI — Reverse Dependencies (1)

0.1.5 deepview_predict-0.1.5-py39-none-any.whl
deepview_predict-0.1.5-py38-none-any.whl
deepview_predict-0.1.5-py311-none-any.whl
deepview_predict-0.1.5-py310-none-any.whl
0.1.1 deepview_predict-0.1.1-py39-none-any.whl
deepview_predict-0.1.1-py38-none-any.whl
deepview_predict-0.1.1-py37-none-any.whl
deepview_predict-0.1.1-py310-none-any.whl

Wheel Details

Project: deepview-predict
Version: 0.1.1
Filename: deepview_predict-0.1.1-py39-none-any.whl
Download: [link]
Size: 387364
MD5: fb15dfcd3cc9f8cdd5a3f5dfa5eeac48
SHA256: d4e1333d8db71cd0992433fcf437803f835ef529ce740401191d6301e7566813
Uploaded: 2023-08-28 21:07:47 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: deepview-predict
Version: 0.1.1
Summary: Cross-GPU performance predictions for PyTorch neural network training.
Author: CentML
Author-Email: support[at]centml.ai
Maintainer: CentML
Maintainer-Email: support[at]centml.ai
License: Apache-2.0
Keywords: neural networks,pytorch,performance,profiler,predictions
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Requires-Dist: pyyaml
Requires-Dist: torch (>=1.4.0)
Requires-Dist: pandas (>=1.1.2)
Requires-Dist: tqdm (>=4.49.0)
Requires-Dist: nvidia-cuda-cupti-cu11 (==11.7.101)
Requires-Dist: nvidia-cuda-runtime-cu11 (==11.7.99)
Requires-Dist: incremental
Description-Content-Type: text/markdown
[Description omitted; length: 8537 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.1)
Root-Is-Purelib: true
Tag: py39-none-any

RECORD

Path Digest Size
habitat/__init__.py sha256=jHltAmAhMLwGT6Lc_-f9L5ZHytqTeR-mSAqESGxNmFA 736
habitat/_version.py sha256=_t6FXymlBxbBJ5pU4LlrP0KSMZbNU_G-kQ5XJPQuUoY 259
habitat/habitat_cuda.cpython-37m-x86_64-linux-gnu.so sha256=GAqCjKc9-SlYtlLQou6bjxjhJhiSbkadKvs69TWlqGM 315681
habitat/habitat_cuda.cpython-38-x86_64-linux-gnu.so sha256=5kiC478BHKkf-TGihCjPrIsLowkIjUX-CE40qUpTn8w 307577
habitat/habitat_cuda.cpython-39-x86_64-linux-gnu.so sha256=2bCX6BdpQHGEr9vxhl2BR8-Pi8E7odfCNEr3rrJCCPw 307569
habitat/utils.py sha256=1vJX-h_DW4kZWOlU0V6DQzq2Hf95AmuhIVCqfwGjE2A 1598
habitat/analysis/__init__.py sha256=5feO7aQHdog1ESCQdWwXOpgnFdkUkxcGmFTYHBAB1w0 288
habitat/analysis/arguments.py sha256=TFneY5C5KBnYwLNksuS21E7XcDgQ_pcroJq98ubp4oE 1031
habitat/analysis/device.py sha256=L-3gwkkJH_wVNit45zj4zTXdRHyJlHtWggdMvClyHVw 865
habitat/analysis/kernels.py sha256=uP0BiHQN67xcegt5BxUpHgMVPNwEIxJs7Mk4EE4FItk 1513
habitat/analysis/metrics.py sha256=lr9K6bnaJRP-bgCRI-Gd9VDdCjLPYogEodFXrBD21bg 2427
habitat/analysis/operation.py sha256=tvEc6hRDalQWtXf1ftvNgEq3zvXQAkRGe6QMsrGvcHk 2639
habitat/analysis/predictor.py sha256=to7IgY0MUyYwu5cvJbqla5lYgd8R-nTVv5ZCsYfr3Ng 11348
habitat/analysis/run_time.py sha256=cSU2toleFCZnlEeIQaXQAILZLOWG5KH8zyspdQUw0ow 2083
habitat/analysis/trace.py sha256=483zdvdcHNIUuNQytw0K6fKus3YryA4GcBAb2Lh8Q9g 1402
habitat/analysis/mlp/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
habitat/analysis/mlp/dataset.py sha256=FaE2ZckW6_NKFRgkG0XW8ChgBnRYnAnlpA32ap_9dvw 741
habitat/analysis/mlp/dataset_process.py sha256=dd0yGLoeu5eKIe-tjTXq6X3WDc4dNviqGZ_LNTf1-Ao 1824
habitat/analysis/mlp/devices.csv sha256=FaoeQ6xoDogyhgNhF9p6vJjdZhp8X-wW71LBVgBTjjM 477
habitat/analysis/mlp/devices.py sha256=KLVKKMhJXAqMxWHkLqgWVrfJ7Sie9pHIRvpo9vShAj0 644
habitat/analysis/mlp/mlp.py sha256=FpUVwM6NO_8o3JAT-ywMQy07hWhDxkLUQ0xwKHtbXUU 8771
habitat/analysis/mlp/train.py sha256=dWlvltgmX0gy9xQ6c74MQulefWgwVT5lm_pVuHCUpM4 878
habitat/analysis/wave_scaling/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
habitat/analysis/wave_scaling/common.py sha256=FtmnvicmCObwIhv3MU6bwpb8bErV8Pf9DOaUOEzyOhU 834
habitat/analysis/wave_scaling/metadata.py sha256=RJQvb3UykX_l3naP9-n9oxlb6AeTvdnKKlWK_T-XGBU 1218
habitat/analysis/wave_scaling/resimplified.py sha256=frZGtvHVPmKCfc67UAoHp_MET2YHnokmlR2ZSt1Nsg0 1614
habitat/analysis/wave_scaling/roofline.py sha256=BCy1mhiTonfFq6ejD5lhaV0GCqW7KiekinA-f95ZpN8 3726
habitat/analysis/wave_scaling/unified.py sha256=U9tkntZ1fg8gjvvHeDztni1muhFzIXOlyFGhPntBFNg 980
habitat/data/__init__.py sha256=MjCRCWxN5Edm_6I9yaOqVzNjCrgHyKRCGB6R28-yHS0 145
habitat/data/devices.yml sha256=WUFAc0kGmyaS147HEsJ-VpwI_TZOu8S-FAun7QrH7uE 5115
habitat/data/kernels.sqlite sha256=3V2WtwwNYLWHc25zRpRh7TRL4f6ZEK7ee9CkAN4wnkI 133
habitat/data/bmm/model.pth sha256=YryjxDrCj6KTSDBanhZCEttL8_EOYd5bkbw0nbl3IT4 133
habitat/data/conv2d/model.pth sha256=7INjBbhoRdUhmTZwRESKKEYucwhhklLMeMhwgI6vbfg 133
habitat/data/conv_transpose2d/model.pth sha256=RXamLRn5oCL9oAVVYSSP54ZMMvy8dr7JanNW9gGBrnI 133
habitat/data/linear/model.pth sha256=ZQAX9ZYb4H72X2srPQGKyCFJJ1g36P-4Nlm1uYehBGM 133
habitat/data/lstm/model.pth sha256=7QX5Kg8OM-MiXI1oeO8sfhb8cKZYiYBNVOjWkaF4840 133
habitat/profiling/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
habitat/profiling/autograd.py sha256=cdccRG2XwkS1z_RveojjC0ErTv-DQ2m2xSmCuLE7n6Q 3046
habitat/profiling/backward.py sha256=TRQI5R3CMj0HIvdDV9iQtokm5TPHaHHNP5-NcLYJd9k 2943
habitat/profiling/kernel.py sha256=Yo0PYM4MIZdfJIvRiVTOsJAhJaXcP7J-e_g0dwjftW0 3025
habitat/profiling/operation.py sha256=JgRxyfHETEroRfi6QX66nRd7yn95ZFaVfObsVYINch0 7077
habitat/profiling/run_time.py sha256=1etukw1d3Oz12nA-7W83xS5SSYbzCjZaYD1f_FamVqk 663
habitat/tracking/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
habitat/tracking/base.py sha256=hplJi-03zN-_14HB2aEDf_IObWP0ojow7Fcl1vV7f0k 394
habitat/tracking/callable.py sha256=_SRaIXaDK9-Dk_NCaEx2zHlOBypi0ChO5v7Dq63EUf8 3433
habitat/tracking/hook_manager.py sha256=OewxjqCg-_kmc4gHb-_pPu7-mWfE2DHDC4Wul5Sv7rQ 1630
habitat/tracking/operation.py sha256=BuNTe0JKX8FSrDNVyps5LEj8YV4RCr06IidWHp-OOjc 2762
deepview_predict-0.1.1.dist-info/METADATA sha256=e-9e4LfzxSGcDxWFIqrMka51b1ZVersbmDmOPUM9fEM 9373
deepview_predict-0.1.1.dist-info/WHEEL sha256=DWeKvZka66J5WkQaxAHMvHMB7jWav8tltQXhueVqijY 93
deepview_predict-0.1.1.dist-info/top_level.txt sha256=7Jd2uR9ptHvZum3a8xvK_fHYstrWxRZz0LQ4a4uY87E 8
deepview_predict-0.1.1.dist-info/RECORD — —

top_level.txt

habitat