From 51b77f50604fc8911cbe8cbf901ea0face4f30c6 Mon Sep 17 00:00:00 2001 From: mattip Date: Wed, 9 Dec 2020 14:47:24 +0200 Subject: [PATCH] Update theme for 0.7 docs --- 0.7/_modules/index.html | 143 +++++++++++++---- 0.7/_modules/torchaudio.html | 143 +++++++++++++---- .../backend/_soundfile_backend.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/backend/common.html | 143 +++++++++++++---- .../torchaudio/backend/soundfile_backend.html | 143 +++++++++++++---- .../torchaudio/backend/sox_backend.html | 143 +++++++++++++---- .../torchaudio/backend/sox_io_backend.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/backend/utils.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/compliance/kaldi.html | 143 +++++++++++++---- .../torchaudio/datasets/cmuarctic.html | 143 +++++++++++++---- .../torchaudio/datasets/commonvoice.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/datasets/gtzan.html | 143 +++++++++++++---- .../torchaudio/datasets/librispeech.html | 143 +++++++++++++---- .../torchaudio/datasets/libritts.html | 143 +++++++++++++---- .../torchaudio/datasets/ljspeech.html | 143 +++++++++++++---- .../torchaudio/datasets/speechcommands.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/datasets/tedlium.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/datasets/vctk.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/datasets/yesno.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/functional.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/kaldi_io.html | 143 +++++++++++++---- .../torchaudio/models/conv_tasnet.html | 143 +++++++++++++---- .../torchaudio/models/wav2letter.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/models/wavernn.html | 143 +++++++++++++---- .../torchaudio/sox_effects/sox_effects.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/transforms.html | 143 +++++++++++++---- 0.7/_modules/torchaudio/utils/sox_utils.html | 143 +++++++++++++---- 0.7/_static/css/theme.css | 65 +++++--- 0.7/_static/images/chevron-down-black.svg | 16 ++ 0.7/_static/images/chevron-down-white.svg | 16 ++ 0.7/_static/js/theme.js | 16 ++ 0.7/_static/pygments.css | 8 +- 0.7/backend.html | 151 +++++++++++++----- 0.7/compliance.kaldi.html | 143 +++++++++++++---- 0.7/datasets.html | 147 +++++++++++++---- 0.7/functional.html | 147 +++++++++++++---- 0.7/genindex.html | 143 +++++++++++++---- 0.7/index.html | 143 +++++++++++++---- 0.7/kaldi_io.html | 145 +++++++++++++---- 0.7/models.html | 149 ++++++++++++----- 0.7/py-modindex.html | 143 +++++++++++++---- 0.7/search.html | 143 +++++++++++++---- 0.7/sox_effects.html | 149 ++++++++++++----- 0.7/torchaudio.html | 143 +++++++++++++---- 0.7/transforms.html | 145 +++++++++++++---- 0.7/utils.html | 143 +++++++++++++---- 46 files changed, 4624 insertions(+), 1392 deletions(-) create mode 100644 0.7/_static/images/chevron-down-black.svg create mode 100644 0.7/_static/images/chevron-down-white.svg diff --git a/0.7/_modules/index.html b/0.7/_modules/index.html index 9f24ffad00..8bfebe340b 100644 --- a/0.7/_modules/index.html +++ b/0.7/_modules/index.html @@ -69,21 +69,7 @@
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    • diff --git a/0.7/_static/css/theme.css b/0.7/_static/css/theme.css index 59fe0cd564..8d9d551708 100644 --- a/0.7/_static/css/theme.css +++ b/0.7/_static/css/theme.css @@ -2107,6 +2107,10 @@ pre code { color: #6c757d; opacity: 1; } +.form-control::-moz-placeholder { + color: #6c757d; + opacity: 1; +} .form-control:-ms-input-placeholder { color: #6c757d; opacity: 1; @@ -4553,8 +4557,10 @@ tbody.collapse.show { @media (min-width: 576px) { .card-columns { -webkit-column-count: 3; + -moz-column-count: 3; column-count: 3; -webkit-column-gap: 1.25rem; + -moz-column-gap: 1.25rem; column-gap: 1.25rem; } .card-columns .card { @@ -5670,7 +5676,7 @@ button.close { -webkit-transform: translateX(0); transform: translateX(0); } -@supports ((-webkit-transform-style: preserve-3d) or (transform-style: preserve-3d)) { +@supports (transform-style: preserve-3d) { .carousel-item-next.carousel-item-left, .carousel-item-prev.carousel-item-right { -webkit-transform: translate3d(0, 0, 0); @@ -5683,7 +5689,7 @@ button.close { -webkit-transform: translateX(100%); transform: translateX(100%); } -@supports ((-webkit-transform-style: preserve-3d) or (transform-style: preserve-3d)) { +@supports (transform-style: preserve-3d) { .carousel-item-next, .active.carousel-item-right { -webkit-transform: translate3d(100%, 0, 0); @@ -5696,7 +5702,7 @@ button.close { -webkit-transform: translateX(-100%); transform: translateX(-100%); } -@supports ((-webkit-transform-style: preserve-3d) or (transform-style: preserve-3d)) { +@supports (transform-style: preserve-3d) { .carousel-item-prev, .active.carousel-item-left { -webkit-transform: translate3d(-100%, 0, 0); @@ -7227,7 +7233,6 @@ button.bg-dark:focus { } .position-sticky { - position: -webkit-sticky !important; position: sticky !important; } @@ -7247,9 +7252,8 @@ button.bg-dark:focus { z-index: 1030; } -@supports ((position: -webkit-sticky) or (position: sticky)) { +@supports (position: sticky) { .sticky-top { - position: -webkit-sticky; position: sticky; top: 0; z-index: 1020; @@ -9806,7 +9810,7 @@ pre { } .header-holder .main-menu ul li a { color: #ffffff; - font-size: 1.125rem; + font-size: 1.3rem; letter-spacing: 0; line-height: 2.125rem; text-align: center; @@ -9861,7 +9865,7 @@ pre { list-style-type: none; padding: 0; } -.mobile-main-menu.open ul li a { +.mobile-main-menu.open ul li a, .mobile-main-menu.open .resources-mobile-menu-title { font-size: 2rem; color: #ffffff; letter-spacing: 0; @@ -10521,9 +10525,9 @@ article.pytorch-article .sphx-glr-thumbcontainer .figure a.reference.internal { article.pytorch-article .section :not(dt) > code { color: #262626; - border-top: solid 2px #f3f4f7; - background-color: #f3f4f7; - border-bottom: solid 2px #f3f4f7; + border-top: solid 2px #ffffff; + background-color: #ffffff; + border-bottom: solid 2px #ffffff; padding: 0px 3px; -webkit-box-decoration-break: clone; box-decoration-break: clone; @@ -11002,7 +11006,6 @@ article.pytorch-article .wy-table-responsive table tbody td { } article.pytorch-article .wy-table-responsive table tbody td .pre { background: #ffffff; - outline: 1px solid #e9e9e9; color: #ee4c2c; font-size: 87.5%; } @@ -11695,6 +11698,9 @@ article.pytorch-article .tutorials-callout-container .btn.callout-button a { .pytorch-left-menu-search ::-webkit-input-placeholder { color: #262626; } +.pytorch-left-menu-search ::-moz-placeholder { + color: #262626; +} .pytorch-left-menu-search :-ms-input-placeholder { color: #262626; } @@ -12183,7 +12189,10 @@ article.pytorch-article .tutorials-callout-container .btn.callout-button a { } } -.main-menu ul li .ecosystem-dropdown, .main-menu ul li .resources-dropdown a { +.main-menu ul li.active:after { + display: none; +} +.main-menu ul li .resources-dropdown a { cursor: pointer; } .main-menu ul li .dropdown-menu { @@ -12211,18 +12220,16 @@ article.pytorch-article .tutorials-callout-container .btn.callout-button a { color: #ffffff; } -.ecosystem-dropdown-menu, .resources-dropdown-menu { +.resources-dropdown-menu { left: -75px; width: 226px; display: none; position: absolute; - top: 3.125rem; z-index: 1000; display: none; float: left; min-width: 10rem; padding: 0.5rem 0; - margin: 0.125rem 0 0; font-size: 1rem; color: #212529; text-align: left; @@ -12233,20 +12240,40 @@ article.pytorch-article .tutorials-callout-container .btn.callout-button a { border-radius: 0.25rem; } -.ecosystem-dropdown-menu.show-menu, .resources-dropdown-menu.show-menu { +.resources-dropdown:hover .resources-dropdown-menu { display: block; } -.main-menu ul li .ecosystem-dropdown-menu, .main-menu ul li .resources-dropdown-menu { +.main-menu ul li .resources-dropdown-menu { border-radius: 0; padding: 0; } -.main-menu ul li .ecosystem-dropdown-menu .dropdown-item, .main-menu ul li .resources-dropdown-menu .dropdown-item { +.main-menu ul li .resources-dropdown-menu .dropdown-item { color: #6c6c6d; border-bottom: 1px solid #e2e2e2; } +.resources-dropdown .with-down-orange-arrow { + padding-right: 2rem; + position: relative; + background-image: url("/assets/images/chevron-down-orange.svg"); + background-size: 14px 18px; + background-position: top 7px right 10px; + background-repeat: no-repeat; +} +.resources-dropdown .with-down-arrow { + padding-right: 2rem; + position: relative; + background-image: url("/assets/images/chevron-down-black.svg"); + background-size: 14px 18px; + background-position: top 7px right 10px; + background-repeat: no-repeat; +} +.resources-dropdown .with-down-arrow:hover { + background-image: url("/assets/images/chevron-down-orange.svg"); +} + .header-holder .main-menu ul li a.nav-dropdown-item { display: block; font-size: 1rem; diff --git a/0.7/_static/images/chevron-down-black.svg b/0.7/_static/images/chevron-down-black.svg new file mode 100644 index 0000000000..097bc076ec --- /dev/null +++ b/0.7/_static/images/chevron-down-black.svg @@ -0,0 +1,16 @@ + + + Created with Sketch. + + + + + + + + + + + + + diff --git a/0.7/_static/images/chevron-down-white.svg b/0.7/_static/images/chevron-down-white.svg new file mode 100644 index 0000000000..e6c94e27b6 --- /dev/null +++ b/0.7/_static/images/chevron-down-white.svg @@ -0,0 +1,16 @@ + + + Created with Sketch. + + + + + + + + + + + + + diff --git a/0.7/_static/js/theme.js b/0.7/_static/js/theme.js index b24a50e48b..e5ec63e7f2 100644 --- a/0.7/_static/js/theme.js +++ b/0.7/_static/js/theme.js @@ -1039,4 +1039,20 @@ $("#tutorial-cards p").each(function(index, item) { } }); +// Jump back to top on pagination click + +$(document).on("click", ".page", function() { + $('html, body').animate( + {scrollTop: $("#dropdown-filter-tags").position().top}, + 'slow' + ); +}); + +var link = $("a[href='intermediate/speech_command_recognition_with_torchaudio.html']"); + +if (link.text() == "SyntaxError") { + console.log("There is an issue with the intermediate/speech_command_recognition_with_torchaudio.html menu item."); + link.text("Speech Command Recognition with torchaudio"); +} + },{"jquery":"jquery"}]},{},[1,2,3,4,5,6,7,8,9,10,"pytorch-sphinx-theme"]); diff --git a/0.7/_static/pygments.css b/0.7/_static/pygments.css index d14395efc3..f346859c19 100644 --- a/0.7/_static/pygments.css +++ b/0.7/_static/pygments.css @@ -1,8 +1,8 @@ pre { line-height: 125%; margin: 0; } -td.linenos pre { color: #000000; background-color: #f0f0f0; padding: 0 5px 0 5px; } -span.linenos { color: #000000; background-color: #f0f0f0; padding: 0 5px 0 5px; } -td.linenos pre.special { color: #000000; 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  • -
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  • @@ -101,23 +87,68 @@
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    • @@ -130,11 +161,9 @@ - - @@ -817,7 +846,7 @@

    load¶< [channel, time] else [time, channel].

    Return type
    -

    torch.Tensor

    +

    torch.Tensor

    @@ -866,7 +895,7 @@

    save¶<

    • filepath (str or pathlib.Path) – Path to save file. This function also handles pathlib.Path objects, but is annotated as str for TorchScript compiler compatibility.

      • -

    • tensor (torch.Tensor) – Audio data to save. must be 2D tensor.

      • +

    • tensor (torch.Tensor) – Audio data to save. must be 2D tensor.

    • sample_rate (int) – sampling rate

    • channels_first (bool) – If True, the given tensor is interpreted as [channel, time], otherwise [time, channel].

      • @@ -1158,7 +1187,7 @@

      load[channel, time] else [time, channel].

    Return type
    -

    torch.Tensor

    +

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    @@ -1206,7 +1235,7 @@

    save¶ This functionalso handles pathlib.Path objects, but is annotated as str for the consistency with “sox_io” backend, which has a restriction on type annotation for TorchScript compiler compatiblity.

    -

  • tensor (torch.Tensor) – Audio data to save. must be 2D tensor.

    • +

  • tensor (torch.Tensor) – Audio data to save. must be 2D tensor.

  • sample_rate (int) – sampling rate

  • channels_first (bool) – If True, the given tensor is interpreted as [channel, time], otherwise [time, channel].

    • @@ -1472,10 +1501,6 @@

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    • @@ -1496,14 +1521,66 @@

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  • @@ -101,23 +87,68 @@
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  • @@ -101,23 +87,68 @@
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    • @@ -130,11 +161,9 @@ - - @@ -280,9 +309,9 @@

    torchaudio.datasets

    -

    All datasets are subclasses of torch.utils.data.Dataset +

    All datasets are subclasses of torch.utils.data.Dataset i.e, they have __getitem__ and __len__ methods implemented. -Hence, they can all be passed to a torch.utils.data.DataLoader +Hence, they can all be passed to a torch.utils.data.DataLoader which can load multiple samples parallelly using torch.multiprocessing workers. For example:

    yesno_data = torchaudio.datasets.YESNO('.', download=True)
@@ -1016,10 +1045,6 @@ 
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diff --git a/0.7/functional.html b/0.7/functional.html
index 0d6f8cc9f1..ea3cea80e9 100644
--- a/0.7/functional.html
+++ b/0.7/functional.html
@@ -71,21 +71,7 @@
           
 
           
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    lowpass_biquad
    Parameters