frgfm / torch-scan

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
https://frgfm.github.io/torch-scan/latest
Apache License 2.0
208 stars 22 forks source link

feat: Project setup #1

Closed frgfm closed 4 years ago

frgfm commented 4 years ago

This PR aims at:

codecov-io commented 4 years ago

Codecov Report

:exclamation: No coverage uploaded for pull request base (master@f49c15a). Click here to learn what that means. The diff coverage is 42.63%.

Impacted file tree graph

@@            Coverage Diff            @@
##             master       #1   +/-   ##
=========================================
  Coverage          ?   42.63%           
=========================================
  Files             ?        8           
  Lines             ?      441           
  Branches          ?        0           
=========================================
  Hits              ?      188           
  Misses            ?      253           
  Partials          ?        0
Impacted Files Coverage Δ
torchscan/crawler.py 10.98% <10.98%> (ø)
torchscan/modules/__init__.py 100% <100%> (ø)
torchscan/process/__init__.py 100% <100%> (ø)
torchscan/utils.py 21.95% <21.95%> (ø)
torchscan/modules/memory.py 54.94% <54.94%> (ø)
torchscan/modules/flops.py 57.6% <57.6%> (ø)
torchscan/modules/macs.py 61.29% <61.29%> (ø)
torchscan/process/memory.py 73.33% <73.33%> (ø)