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PyTorch v1.13 λ°μ, pytorch/tutorials@db34a77 (#615)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,97 @@ | ||
| from pathlib import Path | ||
| from typing import List | ||
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| from bs4 import BeautifulSoup | ||
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| REPO_ROOT = Path(__file__).parent.parent | ||
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| # For every tutorial on this list, we should determine if it is ok to not run the tutorial (add a comment after | ||
| # the file name to explain why, like intro.html), or fix the tutorial and remove it from this list). | ||
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| NOT_RUN = [ | ||
| "basics/intro", # no code | ||
| "translation_transformer", | ||
| "profiler", | ||
| "saving_loading_models", | ||
| "introyt/captumyt", | ||
| "introyt/trainingyt", | ||
| "examples_nn/polynomial_module", | ||
| "examples_nn/dynamic_net", | ||
| "examples_nn/polynomial_optim", | ||
| "former_torchies/autograd_tutorial_old", | ||
| "former_torchies/tensor_tutorial_old", | ||
| "examples_autograd/polynomial_autograd", | ||
| "examples_autograd/polynomial_custom_function", | ||
| "parametrizations", | ||
| "mnist_train_nas", # used by ax_multiobjective_nas_tutorial.py | ||
| "fx_conv_bn_fuser", | ||
| "super_resolution_with_onnxruntime", | ||
| "ddp_pipeline", # requires 4 gpus | ||
| "fx_graph_mode_ptq_dynamic", | ||
| "vmap_recipe", | ||
| "torchscript_freezing", | ||
| "nestedtensor", | ||
| "recipes/saving_and_loading_models_for_inference", | ||
| "recipes/saving_multiple_models_in_one_file", | ||
| "recipes/loading_data_recipe", | ||
| "recipes/tensorboard_with_pytorch", | ||
| "recipes/what_is_state_dict", | ||
| "recipes/profiler_recipe", | ||
| "recipes/save_load_across_devices", | ||
| "recipes/warmstarting_model_using_parameters_from_a_different_model", | ||
| "recipes/dynamic_quantization", | ||
| "recipes/saving_and_loading_a_general_checkpoint", | ||
| "recipes/benchmark", | ||
| "recipes/tuning_guide", | ||
| "recipes/zeroing_out_gradients", | ||
| "recipes/defining_a_neural_network", | ||
| "recipes/timer_quick_start", | ||
| "recipes/amp_recipe", | ||
| "recipes/Captum_Recipe", | ||
| "hyperparameter_tuning_tutorial", | ||
| "flask_rest_api_tutorial", | ||
| "text_to_speech_with_torchaudio", | ||
| ] | ||
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| def tutorial_source_dirs() -> List[Path]: | ||
| return [ | ||
| p.relative_to(REPO_ROOT).with_name(p.stem[:-7]) | ||
| for p in REPO_ROOT.glob("*_source") | ||
| ] | ||
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| def main() -> None: | ||
| docs_dir = REPO_ROOT / "docs" | ||
| html_file_paths = [] | ||
| for tutorial_source_dir in tutorial_source_dirs(): | ||
| glob_path = f"{tutorial_source_dir}/**/*.html" | ||
| html_file_paths += docs_dir.glob(glob_path) | ||
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| did_not_run = [] | ||
| for html_file_path in html_file_paths: | ||
| with open(html_file_path, "r", encoding="utf-8") as html_file: | ||
| html = html_file.read() | ||
| html_soup = BeautifulSoup(html, "html.parser") | ||
| elems = html_soup.find_all("p", {"class": "sphx-glr-timing"}) | ||
| for elem in elems: | ||
| if ( | ||
| "Total running time of the script: ( 0 minutes 0.000 seconds)" | ||
| in elem.text | ||
| and not any( | ||
| html_file_path.match(file) for file in NOT_RUN | ||
| ) | ||
| ): | ||
| did_not_run.append(html_file_path.as_posix()) | ||
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| if len(did_not_run) != 0: | ||
| raise RuntimeError( | ||
| "The following file(s) are not known bad but ran in 0.000 sec, meaning that any " | ||
| + "python code in this tutorial probably didn't run:\n{}".format( | ||
| "\n".join(did_not_run) | ||
| ) | ||
| ) | ||
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| if __name__ == "__main__": | ||
| main() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,73 @@ | ||
| /* sphinx-design styles for cards/tabs | ||
| */ | ||
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| :root { | ||
| --sd-color-info: #ee4c2c; | ||
| --sd-color-primary: #6c6c6d; | ||
| --sd-color-primary-highlight: #f3f4f7; | ||
| --sd-color-card-border-hover: #ee4c2c; | ||
| --sd-color-card-border: #f3f4f7; | ||
| --sd-color-card-background: #fff; | ||
| --sd-color-card-text: inherit; | ||
| --sd-color-card-header: transparent; | ||
| --sd-color-card-footer: transparent; | ||
| --sd-color-tabs-label-active: hsla(231, 99%, 66%, 1); | ||
| --sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1); | ||
| --sd-color-tabs-label-inactive: hsl(0, 0%, 66%); | ||
| --sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1); | ||
| --sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62); | ||
| --sd-color-tabs-underline-inactive: transparent; | ||
| --sd-color-tabs-overline: rgb(222, 222, 222); | ||
| --sd-color-tabs-underline: rgb(222, 222, 222); | ||
| } | ||
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| .sd-text-info { | ||
| color: #ee4c2c; | ||
| } | ||
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| .sd-card { | ||
| position: relative; | ||
| background-color: #fff; | ||
| opacity: 1.0; | ||
| border-radius: 0px; | ||
| width: 30%; | ||
| border: none; | ||
| padding-bottom: 0px; | ||
| } | ||
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| .sd-card-img { | ||
| opacity: 0.5; | ||
| width: 200px; | ||
| padding: 0px; | ||
| } | ||
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| .sd-card-img:hover { | ||
| opacity: 1.0; | ||
| background-color: #f3f4f7; | ||
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| .sd-card:after { | ||
| display: block; | ||
| opacity: 1; | ||
| content: ''; | ||
| border-bottom: solid 1px #ee4c2c; | ||
| background-color: #fff; | ||
| transform: scaleX(0); | ||
| transition: transform .250s ease-in-out; | ||
| transform-origin: 0% 50%; | ||
| } | ||
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| .sd-card:hover { | ||
| background-color: #fff; | ||
| opacity: 1; | ||
| border-top: 1px solid #f3f4f7; | ||
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| .sd-card:hover:after { | ||
| transform: scaleX(1); | ||
| } |
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