2019-03-25 01:22:43 +08:00
<!DOCTYPE html>
<!-- [if IE 8]><html class="no - js lt - ie9" lang="en" > <![endif] -->
<!-- [if gt IE 8]><! --> < html class = "no-js" lang = "en" > <!-- <![endif] -->
< head >
< meta charset = "utf-8" >
< meta name = "viewport" content = "width=device-width, initial-scale=1.0" >
2019-05-24 23:30:24 +08:00
< title > torchreid.models.xception — torchreid 0.7.7 documentation< / title >
2019-03-25 01:22:43 +08:00
< script type = "text/javascript" src = "../../../_static/js/modernizr.min.js" > < / script >
< script type = "text/javascript" id = "documentation_options" data-url_root = "../../../" src = "../../../_static/documentation_options.js" > < / script >
< script type = "text/javascript" src = "../../../_static/jquery.js" > < / script >
< script type = "text/javascript" src = "../../../_static/underscore.js" > < / script >
< script type = "text/javascript" src = "../../../_static/doctools.js" > < / script >
< script type = "text/javascript" src = "../../../_static/language_data.js" > < / script >
< script async = "async" type = "text/javascript" src = "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML" > < / script >
< script type = "text/javascript" src = "../../../_static/js/theme.js" > < / script >
< link rel = "stylesheet" href = "../../../_static/css/theme.css" type = "text/css" / >
< link rel = "stylesheet" href = "../../../_static/pygments.css" type = "text/css" / >
< link rel = "index" title = "Index" href = "../../../genindex.html" / >
< link rel = "search" title = "Search" href = "../../../search.html" / >
< / head >
< body class = "wy-body-for-nav" >
< div class = "wy-grid-for-nav" >
< nav data-toggle = "wy-nav-shift" class = "wy-nav-side" >
< div class = "wy-side-scroll" >
< div class = "wy-side-nav-search" >
< a href = "../../../index.html" class = "icon icon-home" > torchreid
< / a >
< div class = "version" >
2019-05-24 23:30:24 +08:00
0.7.7
2019-03-25 01:22:43 +08:00
< / div >
< div role = "search" >
< form id = "rtd-search-form" class = "wy-form" action = "../../../search.html" method = "get" >
< input type = "text" name = "q" placeholder = "Search docs" / >
< input type = "hidden" name = "check_keywords" value = "yes" / >
< input type = "hidden" name = "area" value = "default" / >
< / form >
< / div >
< / div >
< div class = "wy-menu wy-menu-vertical" data-spy = "affix" role = "navigation" aria-label = "main navigation" >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../user_guide.html" > How-to< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../datasets.html" > Datasets< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../evaluation.html" > Evaluation< / a > < / li >
< / ul >
< p class = "caption" > < span class = "caption-text" > Package Reference< / span > < / p >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/data.html" > torchreid.data< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/engine.html" > torchreid.engine< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/losses.html" > torchreid.losses< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/metrics.html" > torchreid.metrics< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/models.html" > torchreid.models< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/optim.html" > torchreid.optim< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/utils.html" > torchreid.utils< / a > < / li >
< / ul >
< p class = "caption" > < span class = "caption-text" > Resources< / span > < / p >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../AWESOME_REID.html" > Awesome-ReID< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../MODEL_ZOO.html" > Model Zoo< / a > < / li >
< / ul >
< / div >
< / div >
< / nav >
< section data-toggle = "wy-nav-shift" class = "wy-nav-content-wrap" >
< nav class = "wy-nav-top" aria-label = "top navigation" >
< i data-toggle = "wy-nav-top" class = "fa fa-bars" > < / i >
< a href = "../../../index.html" > torchreid< / a >
< / nav >
< div class = "wy-nav-content" >
< div class = "rst-content" >
< div role = "navigation" aria-label = "breadcrumbs navigation" >
< ul class = "wy-breadcrumbs" >
< li > < a href = "../../../index.html" > Docs< / a > » < / li >
< li > < a href = "../../index.html" > Module code< / a > » < / li >
< li > torchreid.models.xception< / li >
< li class = "wy-breadcrumbs-aside" >
< / li >
< / ul >
< hr / >
< / div >
< div role = "main" class = "document" itemscope = "itemscope" itemtype = "http://schema.org/Article" >
< div itemprop = "articleBody" >
< h1 > Source code for torchreid.models.xception< / h1 > < div class = "highlight" > < pre >
< span > < / span > < span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > absolute_import< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > division< / span >
< span class = "n" > __all__< / span > < span class = "o" > =< / span > < span class = "p" > [< / span > < span class = "s1" > ' xception' < / span > < span class = "p" > ]< / span >
< span class = "kn" > import< / span > < span class = "nn" > math< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch.nn< / span > < span class = "k" > as< / span > < span class = "nn" > nn< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch.nn.functional< / span > < span class = "k" > as< / span > < span class = "nn" > F< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch.utils.model_zoo< / span > < span class = "k" > as< / span > < span class = "nn" > model_zoo< / span >
< span class = "kn" > from< / span > < span class = "nn" > torch.nn< / span > < span class = "k" > import< / span > < span class = "n" > init< / span >
< span class = "n" > pretrained_settings< / span > < span class = "o" > =< / span > < span class = "p" > {< / span >
< span class = "s1" > ' xception' < / span > < span class = "p" > :< / span > < span class = "p" > {< / span >
< span class = "s1" > ' imagenet' < / span > < span class = "p" > :< / span > < span class = "p" > {< / span >
< span class = "s1" > ' url' < / span > < span class = "p" > :< / span > < span class = "s1" > ' http://data.lip6.fr/cadene/pretrainedmodels/xception-43020ad28.pth' < / span > < span class = "p" > ,< / span >
< span class = "s1" > ' input_space' < / span > < span class = "p" > :< / span > < span class = "s1" > ' RGB' < / span > < span class = "p" > ,< / span >
< span class = "s1" > ' input_size' < / span > < span class = "p" > :< / span > < span class = "p" > [< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 299< / span > < span class = "p" > ,< / span > < span class = "mi" > 299< / span > < span class = "p" > ],< / span >
< span class = "s1" > ' input_range' < / span > < span class = "p" > :< / span > < span class = "p" > [< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ],< / span >
< span class = "s1" > ' mean' < / span > < span class = "p" > :< / span > < span class = "p" > [< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ,< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ,< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ],< / span >
< span class = "s1" > ' std' < / span > < span class = "p" > :< / span > < span class = "p" > [< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ,< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ,< / span > < span class = "mf" > 0.5< / span > < span class = "p" > ],< / span >
< span class = "s1" > ' num_classes' < / span > < span class = "p" > :< / span > < span class = "mi" > 1000< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' scale' < / span > < span class = "p" > :< / span > < span class = "mf" > 0.8975< / span > < span class = "c1" > # The resize parameter of the validation transform should be 333, and make sure to center crop at 299x299< / span >
< span class = "p" > }< / span >
< span class = "p" > }< / span >
< span class = "p" > }< / span >
< span class = "k" > class< / span > < span class = "nc" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Module< / span > < span class = "p" > ):< / span >
< span class = "k" > def< / span > < span class = "nf" > __init__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > in_channels< / span > < span class = "p" > ,< / span > < span class = "n" > out_channels< / span > < span class = "p" > ,< / span > < span class = "n" > kernel_size< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > stride< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > padding< / span > < span class = "o" > =< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "n" > dilation< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > ):< / span >
< span class = "nb" > super< / span > < span class = "p" > (< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "fm" > __init__< / span > < span class = "p" > ()< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv1< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > (< / span > < span class = "n" > in_channels< / span > < span class = "p" > ,< / span > < span class = "n" > in_channels< / span > < span class = "p" > ,< / span > < span class = "n" > kernel_size< / span > < span class = "p" > ,< / span >
< span class = "n" > stride< / span > < span class = "p" > ,< / span > < span class = "n" > padding< / span > < span class = "p" > ,< / span > < span class = "n" > dilation< / span > < span class = "p" > ,< / span >
< span class = "n" > groups< / span > < span class = "o" > =< / span > < span class = "n" > in_channels< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "n" > bias< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pointwise< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > (< / span > < span class = "n" > in_channels< / span > < span class = "p" > ,< / span > < span class = "n" > out_channels< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "n" > bias< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > forward< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > x< / span > < span class = "p" > ):< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv1< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pointwise< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > x< / span >
< span class = "k" > class< / span > < span class = "nc" > Block< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Module< / span > < span class = "p" > ):< / span >
< span class = "k" > def< / span > < span class = "nf" > __init__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > in_filters< / span > < span class = "p" > ,< / span > < span class = "n" > out_filters< / span > < span class = "p" > ,< / span > < span class = "n" > reps< / span > < span class = "p" > ,< / span > < span class = "n" > strides< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ):< / span >
< span class = "nb" > super< / span > < span class = "p" > (< / span > < span class = "n" > Block< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "fm" > __init__< / span > < span class = "p" > ()< / span >
< span class = "k" > if< / span > < span class = "n" > out_filters< / span > < span class = "o" > !=< / span > < span class = "n" > in_filters< / span > < span class = "ow" > or< / span > < span class = "n" > strides< / span > < span class = "o" > !=< / span > < span class = "mi" > 1< / span > < span class = "p" > :< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skip< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > (< / span > < span class = "n" > in_filters< / span > < span class = "p" > ,< / span > < span class = "n" > out_filters< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > stride< / span > < span class = "o" > =< / span > < span class = "n" > strides< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skipbn< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "n" > out_filters< / span > < span class = "p" > )< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skip< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > ReLU< / span > < span class = "p" > (< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > rep< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "n" > filters< / span > < span class = "o" > =< / span > < span class = "n" > in_filters< / span >
< span class = "k" > if< / span > < span class = "n" > grow_first< / span > < span class = "p" > :< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > )< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "n" > in_filters< / span > < span class = "p" > ,< / span > < span class = "n" > out_filters< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "n" > stride< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > padding< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > ))< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "n" > out_filters< / span > < span class = "p" > ))< / span >
< span class = "n" > filters< / span > < span class = "o" > =< / span > < span class = "n" > out_filters< / span >
< span class = "k" > for< / span > < span class = "n" > i< / span > < span class = "ow" > in< / span > < span class = "nb" > range< / span > < span class = "p" > (< / span > < span class = "n" > reps< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > ):< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > )< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "n" > filters< / span > < span class = "p" > ,< / span > < span class = "n" > filters< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "n" > stride< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > padding< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > ))< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "n" > filters< / span > < span class = "p" > ))< / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "n" > grow_first< / span > < span class = "p" > :< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > )< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "n" > in_filters< / span > < span class = "p" > ,< / span > < span class = "n" > out_filters< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "n" > stride< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > padding< / span > < span class = "o" > =< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > ))< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "n" > out_filters< / span > < span class = "p" > ))< / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "n" > start_with_relu< / span > < span class = "p" > :< / span >
< span class = "n" > rep< / span > < span class = "o" > =< / span > < span class = "n" > rep< / span > < span class = "p" > [< / span > < span class = "mi" > 1< / span > < span class = "p" > :]< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "n" > rep< / span > < span class = "p" > [< / span > < span class = "mi" > 0< / span > < span class = "p" > ]< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > ReLU< / span > < span class = "p" > (< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > strides< / span > < span class = "o" > !=< / span > < span class = "mi" > 1< / span > < span class = "p" > :< / span >
< span class = "n" > rep< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > MaxPool2d< / span > < span class = "p" > (< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "n" > strides< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ))< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > rep< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Sequential< / span > < span class = "p" > (< / span > < span class = "o" > *< / span > < span class = "n" > rep< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > forward< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > inp< / span > < span class = "p" > ):< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > rep< / span > < span class = "p" > (< / span > < span class = "n" > inp< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skip< / span > < span class = "ow" > is< / span > < span class = "ow" > not< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "n" > skip< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skip< / span > < span class = "p" > (< / span > < span class = "n" > inp< / span > < span class = "p" > )< / span >
< span class = "n" > skip< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > skipbn< / span > < span class = "p" > (< / span > < span class = "n" > skip< / span > < span class = "p" > )< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "n" > skip< / span > < span class = "o" > =< / span > < span class = "n" > inp< / span >
< span class = "n" > x< / span > < span class = "o" > +=< / span > < span class = "n" > skip< / span >
< span class = "k" > return< / span > < span class = "n" > x< / span >
< div class = "viewcode-block" id = "Xception" > < a class = "viewcode-back" href = "../../../pkg/models.html#torchreid.models.xception.Xception" > [docs]< / a > < span class = "k" > class< / span > < span class = "nc" > Xception< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Module< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " Xception.< / span >
< span class = "sd" > < / span >
< span class = "sd" > Reference:< / span >
< span class = "sd" > Chollet. Xception: Deep Learning with Depthwise< / span >
< span class = "sd" > Separable Convolutions. CVPR 2017.< / span >
< span class = "sd" > Public keys:< / span >
< span class = "sd" > - ``xception``: Xception.< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > def< / span > < span class = "nf" > __init__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > num_classes< / span > < span class = "p" > ,< / span > < span class = "n" > loss< / span > < span class = "p" > ,< / span > < span class = "n" > fc_dims< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span > < span class = "p" > ,< / span > < span class = "n" > dropout_p< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span > < span class = "p" > ,< / span > < span class = "o" > **< / span > < span class = "n" > kwargs< / span > < span class = "p" > ):< / span >
< span class = "nb" > super< / span > < span class = "p" > (< / span > < span class = "n" > Xception< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "fm" > __init__< / span > < span class = "p" > ()< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > loss< / span > < span class = "o" > =< / span > < span class = "n" > loss< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv1< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > (< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 32< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn1< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "mi" > 32< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv2< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > (< / span > < span class = "mi" > 32< / span > < span class = "p" > ,< / span > < span class = "mi" > 64< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "n" > bias< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn2< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "mi" > 64< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block1< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 64< / span > < span class = "p" > ,< / span > < span class = "mi" > 128< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block2< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 128< / span > < span class = "p" > ,< / span > < span class = "mi" > 256< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block3< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 256< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block4< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block5< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block6< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block7< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block8< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block9< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block10< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block11< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block12< / span > < span class = "o" > =< / span > < span class = "n" > Block< / span > < span class = "p" > (< / span > < span class = "mi" > 728< / span > < span class = "p" > ,< / span > < span class = "mi" > 1024< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "mi" > 2< / span > < span class = "p" > ,< / span > < span class = "n" > start_with_relu< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "n" > grow_first< / span > < span class = "o" > =< / span > < span class = "kc" > False< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv3< / span > < span class = "o" > =< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "mi" > 1024< / span > < span class = "p" > ,< / span > < span class = "mi" > 1536< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn3< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "mi" > 1536< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv4< / span > < span class = "o" > =< / span > < span class = "n" > SeparableConv2d< / span > < span class = "p" > (< / span > < span class = "mi" > 1536< / span > < span class = "p" > ,< / span > < span class = "mi" > 2048< / span > < span class = "p" > ,< / span > < span class = "mi" > 3< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn4< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > (< / span > < span class = "mi" > 2048< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > global_avgpool< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > AdaptiveAvgPool2d< / span > < span class = "p" > (< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > feature_dim< / span > < span class = "o" > =< / span > < span class = "mi" > 2048< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > fc< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > _construct_fc_layer< / span > < span class = "p" > (< / span > < span class = "n" > fc_dims< / span > < span class = "p" > ,< / span > < span class = "mi" > 2048< / span > < span class = "p" > ,< / span > < span class = "n" > dropout_p< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > classifier< / span > < span class = "o" > =< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Linear< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > feature_dim< / span > < span class = "p" > ,< / span > < span class = "n" > num_classes< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > _init_params< / span > < span class = "p" > ()< / span >
< span class = "k" > def< / span > < span class = "nf" > _construct_fc_layer< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > fc_dims< / span > < span class = "p" > ,< / span > < span class = "n" > input_dim< / span > < span class = "p" > ,< / span > < span class = "n" > dropout_p< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " Constructs fully connected layer.< / span >
< span class = "sd" > Args:< / span >
< span class = "sd" > fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed< / span >
< span class = "sd" > input_dim (int): input dimension< / span >
< span class = "sd" > dropout_p (float): dropout probability, if None, dropout is unused< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > if< / span > < span class = "n" > fc_dims< / span > < span class = "ow" > is< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > feature_dim< / span > < span class = "o" > =< / span > < span class = "n" > input_dim< / span >
< span class = "k" > return< / span > < span class = "kc" > None< / span >
< span class = "k" > assert< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > fc_dims< / span > < span class = "p" > ,< / span > < span class = "p" > (< / span > < span class = "nb" > list< / span > < span class = "p" > ,< / span > < span class = "nb" > tuple< / span > < span class = "p" > )),< / span > < span class = "s1" > ' fc_dims must be either list or tuple, but got < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "nb" > type< / span > < span class = "p" > (< / span > < span class = "n" > fc_dims< / span > < span class = "p" > ))< / span >
< span class = "n" > layers< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "k" > for< / span > < span class = "n" > dim< / span > < span class = "ow" > in< / span > < span class = "n" > fc_dims< / span > < span class = "p" > :< / span >
< span class = "n" > layers< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Linear< / span > < span class = "p" > (< / span > < span class = "n" > input_dim< / span > < span class = "p" > ,< / span > < span class = "n" > dim< / span > < span class = "p" > ))< / span >
< span class = "n" > layers< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm1d< / span > < span class = "p" > (< / span > < span class = "n" > dim< / span > < span class = "p" > ))< / span >
< span class = "n" > layers< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > ReLU< / span > < span class = "p" > (< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ))< / span >
< span class = "k" > if< / span > < span class = "n" > dropout_p< / span > < span class = "ow" > is< / span > < span class = "ow" > not< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "n" > layers< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Dropout< / span > < span class = "p" > (< / span > < span class = "n" > p< / span > < span class = "o" > =< / span > < span class = "n" > dropout_p< / span > < span class = "p" > ))< / span >
< span class = "n" > input_dim< / span > < span class = "o" > =< / span > < span class = "n" > dim< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > feature_dim< / span > < span class = "o" > =< / span > < span class = "n" > fc_dims< / span > < span class = "p" > [< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > ]< / span >
< span class = "k" > return< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Sequential< / span > < span class = "p" > (< / span > < span class = "o" > *< / span > < span class = "n" > layers< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > _init_params< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ):< / span >
< span class = "k" > for< / span > < span class = "n" > m< / span > < span class = "ow" > in< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > modules< / span > < span class = "p" > ():< / span >
< span class = "k" > if< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "p" > ,< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Conv2d< / span > < span class = "p" > ):< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > kaiming_normal_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > weight< / span > < span class = "p" > ,< / span > < span class = "n" > mode< / span > < span class = "o" > =< / span > < span class = "s1" > ' fan_out' < / span > < span class = "p" > ,< / span > < span class = "n" > nonlinearity< / span > < span class = "o" > =< / span > < span class = "s1" > ' relu' < / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "ow" > is< / span > < span class = "ow" > not< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "k" > elif< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "p" > ,< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm2d< / span > < span class = "p" > ):< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > weight< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "k" > elif< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "p" > ,< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > BatchNorm1d< / span > < span class = "p" > ):< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > weight< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "k" > elif< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "p" > ,< / span > < span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > Linear< / span > < span class = "p" > ):< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > normal_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > weight< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "mf" > 0.01< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "ow" > is< / span > < span class = "ow" > not< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "n" > nn< / span > < span class = "o" > .< / span > < span class = "n" > init< / span > < span class = "o" > .< / span > < span class = "n" > constant_< / span > < span class = "p" > (< / span > < span class = "n" > m< / span > < span class = "o" > .< / span > < span class = "n" > bias< / span > < span class = "p" > ,< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > featuremaps< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "nb" > input< / span > < span class = "p" > ):< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv1< / span > < span class = "p" > (< / span > < span class = "nb" > input< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn1< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "n" > F< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > ,< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv2< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn2< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "n" > F< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > ,< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block1< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block2< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block3< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block4< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block5< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block6< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block7< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block8< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block9< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block10< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block11< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > block12< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv3< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn3< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "n" > F< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > ,< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > conv4< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > bn4< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > x< / span > < span class = "o" > =< / span > < span class = "n" > F< / span > < span class = "o" > .< / span > < span class = "n" > relu< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > ,< / span > < span class = "n" > inplace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > x< / span >
< span class = "k" > def< / span > < span class = "nf" > forward< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > x< / span > < span class = "p" > ):< / span >
< span class = "n" > f< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > featuremaps< / span > < span class = "p" > (< / span > < span class = "n" > x< / span > < span class = "p" > )< / span >
< span class = "n" > v< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > global_avgpool< / span > < span class = "p" > (< / span > < span class = "n" > f< / span > < span class = "p" > )< / span >
< span class = "n" > v< / span > < span class = "o" > =< / span > < span class = "n" > v< / span > < span class = "o" > .< / span > < span class = "n" > view< / span > < span class = "p" > (< / span > < span class = "n" > v< / span > < span class = "o" > .< / span > < span class = "n" > size< / span > < span class = "p" > (< / span > < span class = "mi" > 0< / span > < span class = "p" > ),< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > fc< / span > < span class = "ow" > is< / span > < span class = "ow" > not< / span > < span class = "kc" > None< / span > < span class = "p" > :< / span >
< span class = "n" > v< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > fc< / span > < span class = "p" > (< / span > < span class = "n" > v< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > training< / span > < span class = "p" > :< / span >
< span class = "k" > return< / span > < span class = "n" > v< / span >
< span class = "n" > y< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > classifier< / span > < span class = "p" > (< / span > < span class = "n" > v< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > loss< / span > < span class = "o" > ==< / span > < span class = "s1" > ' softmax' < / span > < span class = "p" > :< / span >
< span class = "k" > return< / span > < span class = "n" > y< / span >
< span class = "k" > elif< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > loss< / span > < span class = "o" > ==< / span > < span class = "s1" > ' triplet' < / span > < span class = "p" > :< / span >
< span class = "k" > return< / span > < span class = "n" > y< / span > < span class = "p" > ,< / span > < span class = "n" > v< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "k" > raise< / span > < span class = "ne" > KeyError< / span > < span class = "p" > (< / span > < span class = "s1" > ' Unsupported loss: < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > loss< / span > < span class = "p" > ))< / span > < / div >
< span class = "k" > def< / span > < span class = "nf" > init_pretrained_weights< / span > < span class = "p" > (< / span > < span class = "n" > model< / span > < span class = "p" > ,< / span > < span class = "n" > model_url< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " Initialize models with pretrained weights.< / span >
< span class = "sd" > < / span >
< span class = "sd" > Layers that don' t match with pretrained layers in name or size are kept unchanged.< / span >
< span class = "sd" > " " " < / span >
< span class = "n" > pretrain_dict< / span > < span class = "o" > =< / span > < span class = "n" > model_zoo< / span > < span class = "o" > .< / span > < span class = "n" > load_url< / span > < span class = "p" > (< / span > < span class = "n" > model_url< / span > < span class = "p" > )< / span >
< span class = "n" > model_dict< / span > < span class = "o" > =< / span > < span class = "n" > model< / span > < span class = "o" > .< / span > < span class = "n" > state_dict< / span > < span class = "p" > ()< / span >
< span class = "n" > pretrain_dict< / span > < span class = "o" > =< / span > < span class = "p" > {< / span > < span class = "n" > k< / span > < span class = "p" > :< / span > < span class = "n" > v< / span > < span class = "k" > for< / span > < span class = "n" > k< / span > < span class = "p" > ,< / span > < span class = "n" > v< / span > < span class = "ow" > in< / span > < span class = "n" > pretrain_dict< / span > < span class = "o" > .< / span > < span class = "n" > items< / span > < span class = "p" > ()< / span > < span class = "k" > if< / span > < span class = "n" > k< / span > < span class = "ow" > in< / span > < span class = "n" > model_dict< / span > < span class = "ow" > and< / span > < span class = "n" > model_dict< / span > < span class = "p" > [< / span > < span class = "n" > k< / span > < span class = "p" > ]< / span > < span class = "o" > .< / span > < span class = "n" > size< / span > < span class = "p" > ()< / span > < span class = "o" > ==< / span > < span class = "n" > v< / span > < span class = "o" > .< / span > < span class = "n" > size< / span > < span class = "p" > ()}< / span >
< span class = "n" > model_dict< / span > < span class = "o" > .< / span > < span class = "n" > update< / span > < span class = "p" > (< / span > < span class = "n" > pretrain_dict< / span > < span class = "p" > )< / span >
< span class = "n" > model< / span > < span class = "o" > .< / span > < span class = "n" > load_state_dict< / span > < span class = "p" > (< / span > < span class = "n" > model_dict< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > xception< / span > < span class = "p" > (< / span > < span class = "n" > num_classes< / span > < span class = "p" > ,< / span > < span class = "n" > loss< / span > < span class = "o" > =< / span > < span class = "s1" > ' softmax' < / span > < span class = "p" > ,< / span > < span class = "n" > pretrained< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "o" > **< / span > < span class = "n" > kwargs< / span > < span class = "p" > ):< / span >
< span class = "n" > model< / span > < span class = "o" > =< / span > < span class = "n" > Xception< / span > < span class = "p" > (< / span >
< span class = "n" > num_classes< / span > < span class = "p" > ,< / span >
< span class = "n" > loss< / span > < span class = "p" > ,< / span >
< span class = "n" > fc_dims< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span > < span class = "p" > ,< / span >
< span class = "n" > dropout_p< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span > < span class = "p" > ,< / span >
< span class = "o" > **< / span > < span class = "n" > kwargs< / span >
< span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > pretrained< / span > < span class = "p" > :< / span >
< span class = "n" > model_url< / span > < span class = "o" > =< / span > < span class = "n" > pretrained_settings< / span > < span class = "p" > [< / span > < span class = "s1" > ' xception' < / span > < span class = "p" > ][< / span > < span class = "s1" > ' imagenet' < / span > < span class = "p" > ][< / span > < span class = "s1" > ' url' < / span > < span class = "p" > ]< / span >
< span class = "n" > init_pretrained_weights< / span > < span class = "p" > (< / span > < span class = "n" > model< / span > < span class = "p" > ,< / span > < span class = "n" > model_url< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > model< / span >
< / pre > < / div >
< / div >
< / div >
< footer >
< hr / >
< div role = "contentinfo" >
< p >
© Copyright 2019, Kaiyang Zhou
< / p >
< / div >
Built with < a href = "http://sphinx-doc.org/" > Sphinx< / a > using a < a href = "https://github.com/rtfd/sphinx_rtd_theme" > theme< / a > provided by < a href = "https://readthedocs.org" > Read the Docs< / a > .
< / footer >
< / div >
< / div >
< / section >
< / div >
< script type = "text/javascript" >
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
< / script >
< / body >
< / html >
