Update translation to fix pipeline (#4782)

docs/source/locales/zh/LC_MESSAGES/hpo.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: NNI \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2022-04-13 03:14+0000\n"
+"POT-Creation-Date: 2022-04-20 05:50+0000\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -189,19 +189,23 @@ msgid ""
 "</reference/nnictl>`"
 msgstr ""
 
-#: ../../source/hpo/overview.rst:109
+#: ../../source/hpo/overview.rst:110
+msgid ":doc:`nnictl example </tutorials/hpo_nnictl/nnictl>`"
+msgstr ""
+
+#: ../../source/hpo/overview.rst:112
 msgid ":doc:`Early stop non-optimal models (assessor) <assessors>`"
 msgstr ""
 
-#: ../../source/hpo/overview.rst:110
+#: ../../source/hpo/overview.rst:113
 msgid ":doc:`TensorBoard integration </experiment/web_portal/tensorboard>`"
 msgstr ""
 
-#: ../../source/hpo/overview.rst:111
+#: ../../source/hpo/overview.rst:114
 msgid ":doc:`Implement your own algorithm <custom_algorithm>`"
 msgstr ""
 
-#: ../../source/hpo/overview.rst:112
+#: ../../source/hpo/overview.rst:115
 msgid ":doc:`Benchmark tuners <hpo_benchmark>`"
 msgstr ""
 

docs/source/locales/zh/LC_MESSAGES/index.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: NNI \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2022-04-12 17:35+0000\n"
+"POT-Creation-Date: 2022-04-20 05:50+0000\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -21,10 +21,6 @@ msgstr ""
 msgid "Get Started"
 msgstr ""
 
-#: ../../source/index.rst:12
-msgid "Hyperparameter Optimization"
-msgstr ""
-
 #: ../../source/index.rst:12
 msgid "Model Compression"
 msgstr ""
@@ -85,36 +81,32 @@ msgstr ""
 msgid "Try your first NNI experiment"
 msgstr ""
 
-#: ../../source/index.rst:65
-msgid "To run your first NNI experiment:"
-msgstr ""
-
-#: ../../source/index.rst:71
+#: ../../source/index.rst:69
 msgid ""
-"you need to have `PyTorch <https://pytorch.org/>`_ (as well as "
+"You need to have `PyTorch <https://pytorch.org/>`_ (as well as "
 "`torchvision <https://pytorch.org/vision/stable/index.html>`_) installed "
 "to run this experiment."
 msgstr ""
 
-#: ../../source/index.rst:73
+#: ../../source/index.rst:71
 msgid ""
 "To start your journey now, please follow the :doc:`absolute quickstart of"
 " NNI <quickstart>`!"
 msgstr ""
 
-#: ../../source/index.rst:76
+#: ../../source/index.rst:74
 msgid "Why choose NNI?"
 msgstr ""
 
-#: ../../source/index.rst:79
+#: ../../source/index.rst:77
 msgid "NNI makes AutoML techniques plug-and-play"
 msgstr ""
 
-#: ../../source/index.rst:223
+#: ../../source/index.rst:221
 msgid "NNI eases the effort to scale and manage AutoML experiments"
 msgstr ""
 
-#: ../../source/index.rst:231
+#: ../../source/index.rst:229
 msgid ""
 "An AutoML experiment requires many trials to explore feasible and "
 "potentially good-performing models. **Training service** aims to make the"
@@ -124,13 +116,13 @@ msgid ""
 "kinds of training services."
 msgstr ""
 
-#: ../../source/index.rst:242
+#: ../../source/index.rst:240
 msgid ""
 "Web portal visualizes the tuning process, exposing the ability to "
 "inspect, monitor and control the experiment."
 msgstr ""
 
-#: ../../source/index.rst:253
+#: ../../source/index.rst:251
 msgid ""
 "The DNN model tuning often requires more than one experiment. Users might"
 " try different tuning algorithms, fine-tune their search space, or switch"
@@ -139,68 +131,89 @@ msgid ""
 "so that the tuning workflow becomes clean and organized."
 msgstr ""
 
-#: ../../source/index.rst:259
+#: ../../source/index.rst:257
 msgid "Get Support and Contribute Back"
 msgstr ""
 
-#: ../../source/index.rst:261
+#: ../../source/index.rst:259
 msgid ""
 "NNI is maintained on the `NNI GitHub repository "
 "<https://github.com/microsoft/nni>`_. We collect feedbacks and new "
 "proposals/ideas on GitHub. You can:"
 msgstr ""
 
-#: ../../source/index.rst:263
+#: ../../source/index.rst:261
 msgid ""
 "Open a `GitHub issue <https://github.com/microsoft/nni/issues>`_ for bugs"
 " and feature requests."
 msgstr ""
 
-#: ../../source/index.rst:264
+#: ../../source/index.rst:262
 msgid ""
 "Open a `pull request <https://github.com/microsoft/nni/pulls>`_ to "
-"contribute code (make sure to read the `contribution guide "
-"</contribution>` before doing this)."
+"contribute code (make sure to read the :doc:`contribution guide "
+"<notes/contributing>` before doing this)."
 msgstr ""
 
-#: ../../source/index.rst:265
+#: ../../source/index.rst:263
 msgid ""
 "Participate in `NNI Discussion "
 "<https://github.com/microsoft/nni/discussions>`_ for general questions "
 "and new ideas."
 msgstr ""
 
-#: ../../source/index.rst:266
+#: ../../source/index.rst:264
 msgid "Join the following IM groups."
 msgstr ""
 
-#: ../../source/index.rst:272
+#: ../../source/index.rst:270
 msgid "Gitter"
 msgstr ""
 
-#: ../../source/index.rst:273
+#: ../../source/index.rst:271
 msgid "WeChat"
 msgstr ""
 
-#: ../../source/index.rst:280
+#: ../../source/index.rst:278
 msgid "Citing NNI"
 msgstr ""
 
-#: ../../source/index.rst:282
+#: ../../source/index.rst:280
 msgid ""
 "If you use NNI in a scientific publication, please consider citing NNI in"
 " your references."
 msgstr ""
 
-#: ../../source/index.rst:284
+#: ../../source/index.rst:282
 msgid ""
 "Microsoft. Neural Network Intelligence (version |release|). "
 "https://github.com/microsoft/nni"
 msgstr ""
 
-#: ../../source/index.rst:286
+#: ../../source/index.rst:284
 msgid ""
 "Bibtex entry (please replace the version with the particular version you "
 "are using): ::"
 msgstr ""
 
+#~ msgid "Hyperparameter Optimization"
+#~ msgstr ""
+
+#~ msgid "To run your first NNI experiment:"
+#~ msgstr ""
+
+#~ msgid ""
+#~ "you need to have `PyTorch "
+#~ "<https://pytorch.org/>`_ (as well as "
+#~ "`torchvision <https://pytorch.org/vision/stable/index.html>`_)"
+#~ " installed to run this experiment."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "Open a `pull request "
+#~ "<https://github.com/microsoft/nni/pulls>`_ to contribute"
+#~ " code (make sure to read the "
+#~ "`contribution guide </contribution>` before "
+#~ "doing this)."
+#~ msgstr ""
+

docs/source/locales/zh/LC_MESSAGES/nas.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: NNI \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2022-04-13 03:17+0000\n"
+"POT-Creation-Date: 2022-04-20 05:50+0000\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -93,7 +93,7 @@ msgstr ""
 #: ../../source/nas/overview.rst:25
 msgid ""
 "The process is similar to :doc:`Hyperparameter Optimization "
-"</hpo/index>`, except that the target is the best architecture rather "
+"</hpo/overview>`, except that the target is the best architecture rather "
 "than hyperparameter. Concretely, an exploration strategy selects an "
 "architecture from a predefined search space. The architecture is passed "
 "to a performance evaluation to get a score, which represents how well "
@@ -158,10 +158,11 @@ msgstr ""
 #: ../../source/nas/overview.rst:46
 msgid ""
 "In NNI, we provide a wide range of APIs to build the search space. There "
-"are :doc:`high-level APIs <construct_space>`, that enables incorporating "
-"human knowledge about what makes a good architecture or search space. "
-"There are also :doc:`low-level APIs <mutator>`, that is a list of "
-"primitives to construct a network from operator to operator."
+"are :doc:`high-level APIs <construct_space>`, that enables the "
+"possibility to incorporate human knowledge about what makes a good "
+"architecture or search space. There are also :doc:`low-level APIs "
+"<mutator>`, that is a list of primitives to construct a network from "
+"operation to operation."
 msgstr ""
 
 #: ../../source/nas/overview.rst:49
@@ -207,11 +208,12 @@ msgstr ""
 msgid ""
 "In NNI, we standardize this process is implemented with :doc:`evaluator "
 "<evaluator>`, which is responsible of estimating a model's performance. "
-"The choices of evaluators also range from the simplest option, e.g., to "
-"perform a standard training and validation of the architecture on data, "
-"to complex configurations and implementations. Evaluators are run in "
-"*trials*, where trials can be spawn onto distributed platforms with our "
-"powerful :doc:`training service </experiment/training_service/overview>`."
+"NNI has quite a few built-in supports of evaluators, ranging from the "
+"simplest option, e.g., to perform a standard training and validation of "
+"the architecture on data, to complex configurations and implementations. "
+"Evaluators are run in *trials*, where trials can be spawn onto "
+"distributed platforms with our powerful :doc:`training service "
+"</experiment/training_service/overview>`."
 msgstr ""
 
 #: ../../source/nas/overview.rst:63
@@ -268,3 +270,49 @@ msgstr ""
 #~ msgid "Basic Concepts"
 #~ msgstr ""
 
+#~ msgid ""
+#~ "The process is similar to "
+#~ ":doc:`Hyperparameter Optimization </hpo/index>`, "
+#~ "except that the target is the best"
+#~ " architecture rather than hyperparameter. "
+#~ "Concretely, an exploration strategy selects"
+#~ " an architecture from a predefined "
+#~ "search space. The architecture is passed"
+#~ " to a performance evaluation to get"
+#~ " a score, which represents how well"
+#~ " this architecture performs on a "
+#~ "particular task. This process is "
+#~ "repeated until the search process is "
+#~ "able to find the best architecture."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "In NNI, we provide a wide range"
+#~ " of APIs to build the search "
+#~ "space. There are :doc:`high-level APIs"
+#~ " <construct_space>`, that enables incorporating"
+#~ " human knowledge about what makes a"
+#~ " good architecture or search space. "
+#~ "There are also :doc:`low-level APIs "
+#~ "<mutator>`, that is a list of "
+#~ "primitives to construct a network from"
+#~ " operator to operator."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "In NNI, we standardize this process "
+#~ "is implemented with :doc:`evaluator "
+#~ "<evaluator>`, which is responsible of "
+#~ "estimating a model's performance. The "
+#~ "choices of evaluators also range from"
+#~ " the simplest option, e.g., to "
+#~ "perform a standard training and "
+#~ "validation of the architecture on data,"
+#~ " to complex configurations and "
+#~ "implementations. Evaluators are run in "
+#~ "*trials*, where trials can be spawn "
+#~ "onto distributed platforms with our "
+#~ "powerful :doc:`training service "
+#~ "</experiment/training_service/overview>`."
+#~ msgstr ""
+

docs/source/locales/zh/LC_MESSAGES/tutorials.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: NNI \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2022-04-13 03:14+0000\n"
+"POT-Creation-Date: 2022-04-20 05:50+0000\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -123,9 +123,10 @@ msgstr ""
 
 #: ../../source/tutorials/hello_nas.rst:189
 #: ../../source/tutorials/hello_nas.rst:259
-#: ../../source/tutorials/hello_nas.rst:551
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:247
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:284
+#: ../../source/tutorials/hello_nas.rst:471
+#: ../../source/tutorials/hello_nas.rst:564
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:244
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:281
 #: ../../source/tutorials/pruning_quick_start_mnist.rst:65
 #: ../../source/tutorials/pruning_quick_start_mnist.rst:107
 #: ../../source/tutorials/pruning_quick_start_mnist.rst:172
@@ -274,18 +275,18 @@ msgid ""
 "finish on a workstation with 2 GPUs."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:474
+#: ../../source/tutorials/hello_nas.rst:495
 msgid ""
 "Users can also run Retiarii Experiment with :doc:`different training "
 "services </experiment/training_service/overview>` besides ``local`` "
 "training service."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:478
+#: ../../source/tutorials/hello_nas.rst:499
 msgid "Visualize the Experiment"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:480
+#: ../../source/tutorials/hello_nas.rst:501
 msgid ""
 "Users can visualize their experiment in the same way as visualizing a "
 "normal hyper-parameter tuning experiment. For example, open "
@@ -294,7 +295,7 @@ msgid ""
 "</experiment/web_portal/web_portal>` for details."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:484
+#: ../../source/tutorials/hello_nas.rst:505
 msgid ""
 "We support visualizing models with 3rd-party visualization engines (like "
 "`Netron <https://netron.app/>`__). This can be used by clicking "
@@ -303,166 +304,168 @@ msgid ""
 "visualization is not feasible if the model cannot be exported into onnx."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:489
+#: ../../source/tutorials/hello_nas.rst:510
 msgid ""
 "Built-in evaluators (e.g., Classification) will automatically export the "
 "model into a file. For your own evaluator, you need to save your file "
 "into ``$NNI_OUTPUT_DIR/model.onnx`` to make this work. For instance,"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:520
+#: ../../source/tutorials/hello_nas.rst:541
 msgid "Relaunch the experiment, and a button is shown on Web portal."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:525
+#: ../../source/tutorials/hello_nas.rst:546
 msgid "Export Top Models"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:527
+#: ../../source/tutorials/hello_nas.rst:548
 msgid ""
 "Users can export top models after the exploration is done using "
 "``export_top_models``."
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:563
-msgid "**Total running time of the script:** ( 2 minutes  15.810 seconds)"
+#: ../../source/tutorials/hello_nas.rst:575
+msgid ""
+"The output is ``json`` object which records the mutation actions of the "
+"top model. If users want to output source code of the top model, they can"
+" use :ref:`graph-based execution engine <graph-based-execution-engine>` "
+"for the experiment, by simply adding the following two lines."
+msgstr ""
+
+#: ../../source/tutorials/hello_nas.rst:597
+msgid "**Total running time of the script:** ( 2 minutes  4.499 seconds)"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:578
+#: ../../source/tutorials/hello_nas.rst:612
 msgid ":download:`Download Python source code: hello_nas.py <hello_nas.py>`"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:584
+#: ../../source/tutorials/hello_nas.rst:618
 msgid ":download:`Download Jupyter notebook: hello_nas.ipynb <hello_nas.ipynb>`"
 msgstr ""
 
-#: ../../source/tutorials/hello_nas.rst:591
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:338
+#: ../../source/tutorials/hello_nas.rst:625
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:335
 #: ../../source/tutorials/pruning_quick_start_mnist.rst:357
 msgid "`Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:14
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:13
 msgid ""
 "Click :ref:`here "
 "<sphx_glr_download_tutorials_hpo_quickstart_pytorch_main.py>` to download"
 " the full example code"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:23
-msgid "NNI HPO Quickstart with PyTorch"
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:22
+msgid "HPO Quickstart with PyTorch"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:24
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:23
 msgid ""
 "This tutorial optimizes the model in `official PyTorch quickstart`_ with "
 "auto-tuning."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:26
-msgid ""
-"There is also a :doc:`TensorFlow "
-"version<../hpo_quickstart_tensorflow/main>` if you prefer it."
-msgstr ""
-
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:28
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:25
 msgid "The tutorial consists of 4 steps:"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:30
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:27
 msgid "Modify the model for auto-tuning."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:31
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:28
 msgid "Define hyperparameters' search space."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:32
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:29
 msgid "Configure the experiment."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:33
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:30
 msgid "Run the experiment."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:40
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:37
 msgid "Step 1: Prepare the model"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:41
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:38
 msgid "In first step, we need to prepare the model to be tuned."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:43
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:40
 msgid ""
 "The model should be put in a separate script. It will be evaluated many "
 "times concurrently, and possibly will be trained on distributed "
 "platforms."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:47
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:44
 msgid "In this tutorial, the model is defined in :doc:`model.py <model>`."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:49
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:46
 msgid "In short, it is a PyTorch model with 3 additional API calls:"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:51
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:48
 msgid ""
 "Use :func:`nni.get_next_parameter` to fetch the hyperparameters to be "
 "evalutated."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:52
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:49
 msgid ""
 "Use :func:`nni.report_intermediate_result` to report per-epoch accuracy "
 "metrics."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:53
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:50
 msgid "Use :func:`nni.report_final_result` to report final accuracy."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:55
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:52
 msgid "Please understand the model code before continue to next step."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:60
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:57
 msgid "Step 2: Define search space"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:61
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:58
 msgid ""
 "In model code, we have prepared 3 hyperparameters to be tuned: "
 "*features*, *lr*, and *momentum*."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:64
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:61
 msgid ""
 "Here we need to define their *search space* so the tuning algorithm can "
 "sample them in desired range."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:66
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:63
 msgid "Assuming we have following prior knowledge for these hyperparameters:"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:68
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:65
 msgid "*features* should be one of 128, 256, 512, 1024."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:69
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:66
 msgid ""
 "*lr* should be a float between 0.0001 and 0.1, and it follows exponential"
 " distribution."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:70
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:67
 msgid "*momentum* should be a float between 0 and 1."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:72
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:69
 msgid ""
 "In NNI, the space of *features* is called ``choice``; the space of *lr* "
 "is called ``loguniform``; and the space of *momentum* is called "
@@ -470,49 +473,49 @@ msgid ""
 "``numpy.random``."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:77
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:74
 msgid ""
 "For full specification of search space, check :doc:`the reference "
 "</hpo/search_space>`."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:79
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:76
 msgid "Now we can define the search space as follow:"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:102
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:99
 msgid "Step 3: Configure the experiment"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:103
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:100
 msgid ""
 "NNI uses an *experiment* to manage the HPO process. The *experiment "
 "config* defines how to train the models and how to explore the search "
 "space."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:106
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:103
 msgid ""
 "In this tutorial we use a *local* mode experiment, which means models "
 "will be trained on local machine, without using any special training "
 "platform."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:125
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:122
 msgid "Now we start to configure the experiment."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:128
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:125
 msgid "Configure trial code"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:129
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:126
 msgid ""
 "In NNI evaluation of each hyperparameter set is called a *trial*. So the "
 "model script is called *trial code*."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:147
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:144
 msgid ""
 "When ``trial_code_directory`` is a relative path, it relates to current "
 "working directory. To run ``main.py`` in a different path, you can set "
@@ -521,115 +524,115 @@ msgid ""
 "only available in standard Python, not in Jupyter Notebook.)"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:154
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:151
 msgid ""
 "If you are using Linux system without Conda, you may need to change "
 "``\"python model.py\"`` to ``\"python3 model.py\"``."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:160
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:157
 msgid "Configure search space"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:178
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:175
 msgid "Configure tuning algorithm"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:179
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:176
 msgid "Here we use :doc:`TPE tuner </hpo/tuners>`."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:198
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:195
 msgid "Configure how many trials to run"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:199
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:196
 msgid ""
 "Here we evaluate 10 sets of hyperparameters in total, and concurrently "
 "evaluate 2 sets at a time."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:218
-msgid ""
-"``max_trial_number`` is set to 10 here for a fast example. In real world "
-"it should be set to a larger number. With default config TPE tuner "
-"requires 20 trials to warm up."
-msgstr ""
-
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:222
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:213
 msgid "You may also set ``max_experiment_duration = '1h'`` to limit running time."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:224
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:215
 msgid ""
 "If neither ``max_trial_number`` nor ``max_experiment_duration`` are set, "
 "the experiment will run forever until you press Ctrl-C."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:230
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:220
+msgid ""
+"``max_trial_number`` is set to 10 here for a fast example. In real world "
+"it should be set to a larger number. With default config TPE tuner "
+"requires 20 trials to warm up."
+msgstr ""
+
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:227
 msgid "Step 4: Run the experiment"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:231
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:228
 msgid ""
 "Now the experiment is ready. Choose a port and launch it. (Here we use "
 "port 8080.)"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:233
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:230
 msgid ""
 "You can use the web portal to view experiment status: "
 "http://localhost:8080."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:263
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:260
 msgid "After the experiment is done"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:264
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:261
 msgid "Everything is done and it is safe to exit now. The following are optional."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:266
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:263
 msgid ""
 "If you are using standard Python instead of Jupyter Notebook, you can add"
 " ``input()`` or ``signal.pause()`` to prevent Python from exiting, "
 "allowing you to view the web portal after the experiment is done."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:296
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:293
 msgid ""
 ":meth:`nni.experiment.Experiment.stop` is automatically invoked when "
 "Python exits, so it can be omitted in your code."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:299
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:296
 msgid ""
 "After the experiment is stopped, you can run "
 ":meth:`nni.experiment.Experiment.view` to restart web portal."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:303
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:300
 msgid ""
 "This example uses :doc:`Python API </reference/experiment>` to create "
 "experiment."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:305
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:302
 msgid ""
 "You can also create and manage experiments with :doc:`command line tool "
-"</reference/nnictl>`."
+"<../hpo_nnictl/nnictl>`."
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:310
-msgid "**Total running time of the script:** ( 1 minutes  24.393 seconds)"
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:307
+msgid "**Total running time of the script:** ( 1 minutes  24.367 seconds)"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:325
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:322
 msgid ":download:`Download Python source code: main.py <main.py>`"
 msgstr ""
 
-#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:331
+#: ../../source/tutorials/hpo_quickstart_pytorch/main.rst:328
 msgid ":download:`Download Jupyter notebook: main.ipynb <main.ipynb>`"
 msgstr ""
 
@@ -747,3 +750,24 @@ msgid ""
 "<pruning_quick_start_mnist.ipynb>`"
 msgstr ""
 
+#~ msgid "**Total running time of the script:** ( 2 minutes  15.810 seconds)"
+#~ msgstr ""
+
+#~ msgid "NNI HPO Quickstart with PyTorch"
+#~ msgstr ""
+
+#~ msgid ""
+#~ "There is also a :doc:`TensorFlow "
+#~ "version<../hpo_quickstart_tensorflow/main>` if you "
+#~ "prefer it."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "You can also create and manage "
+#~ "experiments with :doc:`command line tool "
+#~ "</reference/nnictl>`."
+#~ msgstr ""
+
+#~ msgid "**Total running time of the script:** ( 1 minutes  24.393 seconds)"
+#~ msgstr ""
+

pipelines/fast-test.yml

@@ -47,6 +47,7 @@ stages:
 
     - script: |
         cd docs
+        rm -rf build
         make -e SPHINXOPTS="-W -T -b linkcheck -q --keep-going" html
       displayName: External links integrity check