Fixed failing linkcheck CI job (#3010)

* Fixed failing linkcheck CI job

* http -> https and add urls to ignore

* fixed trailing whitespace

* Removed accidental addition

Author: vfdev-5

docs/Makefile

@@ -13,7 +13,7 @@ help:
 	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
 
 docset: html
-	doc2dash --name $(SPHINXPROJ) --icon $(SOURCEDIR)/_static/img/pytorch-logo-flame.png --enable-js --online-redirect-url http://pytorch.org/ignite/ --force $(BUILDDIR)/html/
+	doc2dash --name $(SPHINXPROJ) --icon $(SOURCEDIR)/_static/img/pytorch-logo-flame.png --enable-js --online-redirect-url https://pytorch.org/ignite/ --force $(BUILDDIR)/html/
 
 	# Manually fix because Zeal doesn't deal well with `icon.png`-only at 2x resolution.
 	cp $(SPHINXPROJ).docset/icon.png $(SPHINXPROJ).docset/[email protected]

docs/source/conf.py

@@ -346,6 +346,12 @@ def run(self):
     ("py:class", "torch.utils.data.dataloader.DataLoader"),
 ]
 
+linkcheck_ignore = [
+    "https://github.com/fossasia/visdom#visdom-arguments-python-only",
+    "https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10#check-resume-training",
+    "https://github.com/pytorch/ignite/tree/master/examples/mnist#training-save--resume",
+]
+
 
 def setup(app):
     app.add_directive("autosummary", AutolistAutosummary, override=True)

docs/source/engine.rst

@@ -117,8 +117,8 @@ from iteration.
 
 Complete examples that resumes the training from a checkpoint can be found here:
 
-- `save/resume MNIST <https://github.com/pytorch/ignite/tree/master/examples/mnist#user-content-training-save--resume>`_
-- `save/resume Distributed CIFAR10 <https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10#user-content-check-resume-training>`_
+- `save/resume MNIST <https://github.com/pytorch/ignite/tree/master/examples/mnist#training-save--resume>`_
+- `save/resume Distributed CIFAR10 <https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10#check-resume-training>`_
 
 Deterministic training
 ----------------------
@@ -213,8 +213,8 @@ We can see that the data samples are exactly the same between original and resum
 Complete examples that simulates a crash on a defined iteration and resumes the training from a checkpoint can be found
 here:
 
-- `save/resume MNIST <https://github.com/pytorch/ignite/tree/master/examples/mnist#user-content-training-save--resume>`_
-- `save/resume Distributed CIFAR10 <https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10#user-content-check-resume-training>`_
+- `save/resume MNIST <https://github.com/pytorch/ignite/tree/master/examples/mnist#training-save--resume>`_
+- `save/resume Distributed CIFAR10 <https://github.com/pytorch/ignite/tree/master/examples/contrib/cifar10#check-resume-training>`_
 
 
 .. Note ::

ignite/contrib/handlers/visdom_logger.py

@@ -43,7 +43,7 @@ class VisdomLogger(BaseLogger):
             visdom server. Default, `num_workers=1`. If `num_workers=0` and logger uses the main thread. If using
             Python 2.7 and `num_workers>0` the package `futures` should be installed: `pip install futures`
         kwargs: kwargs to pass into
-            `visdom.Visdom <https://github.com/fossasia/visdom#user-content-visdom-arguments-python-only>`_.
+            `visdom.Visdom <https://github.com/fossasia/visdom#visdom-arguments-python-only>`_.
 
     Note:
         We can also specify username/password using environment variables: VISDOM_USERNAME, VISDOM_PASSWORD

ignite/distributed/auto.py

@@ -57,7 +57,8 @@ def auto_dataloader(dataset: Dataset, **kwargs: Any) -> Union[DataLoader, "_MpDe
             )
 
     .. _torch DataLoader: https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader
-    .. _XLA MpDeviceLoader: https://github.com/pytorch/xla/blob/master/torch_xla/distributed/parallel_loader.py#L178
+    .. _XLA MpDeviceLoader:
+        https://pytorch.org/xla/release/2.0/index.html#running-on-multiple-xla-devices-with-multi-processing
     .. _torch DistributedSampler:
         https://pytorch.org/docs/stable/data.html#torch.utils.data.distributed.DistributedSampler
     .. _torch IterableDataset: https://pytorch.org/docs/stable/data.html#torch.utils.data.IterableDataset
@@ -255,7 +256,7 @@ def auto_optim(optimizer: Optimizer, **kwargs: Any) -> Optimizer:
 
             optimizer = idist.auto_optim(optimizer)
 
-    .. _xm.optimizer_step: http://pytorch.org/xla/release/1.5/index.html#torch_xla.core.xla_model.optimizer_step
+    .. _xm.optimizer_step: https://pytorch.org/xla/release/1.5/index.html#torch_xla.core.xla_model.optimizer_step
 
     .. versionchanged:: 0.4.2
         Added Horovod distributed optimizer.

ignite/distributed/utils.py

@@ -305,7 +305,7 @@ def train_fn(local_rank, a, b, c, d=12):
 
     .. _dist.init_process_group: https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group
     .. _mp.start_processes: https://pytorch.org/docs/stable/multiprocessing.html#torch.multiprocessing.spawn
-    .. _xmp.spawn: http://pytorch.org/xla/release/1.6/index.html#torch_xla.distributed.xla_multiprocessing.spawn
+    .. _xmp.spawn: https://pytorch.org/xla/release/1.6/index.html#torch_xla.distributed.xla_multiprocessing.spawn
     .. _hvd_run: https://horovod.readthedocs.io/en/latest/api.html#module-horovod.run
 
     .. versionchanged:: 0.4.2