[Doc] export tutorial, TDM tuto refactoring

ghstack-source-id: b464acffd2fed4c483dcf163ef53a0dc4807bb91
Pull Request resolved: #994

.github/workflows/docs.yml

@@ -10,8 +10,6 @@ on:
       - v[0-9]+.[0-9]+.[0-9]
       - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
   pull_request:
-    branches:
-      - "*"
   workflow_dispatch:
 
 concurrency:
@@ -90,13 +88,13 @@ jobs:
 
         # 10. Build doc
         cd ./docs
-        make docs
+        sphinx-build ./source _local_build
         cd ..
 
-        cp -r docs/build/html/* "${RUNNER_ARTIFACT_DIR}"
+        cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
         echo $(ls "${RUNNER_ARTIFACT_DIR}")
         if [[ ${{ github.event_name == 'pull_request' }} ]]; then
-          cp -r docs/build/html/* "${RUNNER_DOCS_DIR}"
+          cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
         fi
 
   upload:
@@ -118,7 +116,12 @@ jobs:
         REF_NAME=${{ github.ref_name }}
 
         if [[ "${REF_TYPE}" == branch ]]; then
-          TARGET_FOLDER="${REF_NAME}"
+          if [[ "${REF_NAME}" == main ]]; then
+            TARGET_FOLDER="${REF_NAME}"
+          # Bebug:
+          # else
+          #   TARGET_FOLDER="release-doc"
+          fi
         elif [[ "${REF_TYPE}" == tag ]]; then
           case "${REF_NAME}" in
             *-rc*)

docs/source/fx.rst

@@ -51,8 +51,8 @@ We'll illustrate with an example from the overview. We create a :obj:`TensorDict
 We can check that a forward pass with each module results in the same outputs.
 
    >>> tensordict = TensorDict({"input": torch.randn(32, 100)}, [32])
-   >>> module_out = module(tensordict, tensordict_out=TensorDict({}, []))
-   >>> graph_module_out = graph_module(tensordict, tensordict_out=TensorDict({}, []))
+   >>> module_out = module(tensordict, tensordict_out=TensorDict())
+   >>> graph_module_out = graph_module(tensordict, tensordict_out=TensorDict())
    >>> assert (
    ...     module_out["outputs", "logits"] == graph_module_out["outputs", "logits"]
    ... ).all()

docs/source/index.rst

@@ -80,7 +80,7 @@ tensordict.nn
    :maxdepth: 1
 
    tutorials/tensordict_module
-   tutorials/tensordict_module_functional
+   tutorials/export
 
 Dataloading
 -----------

docs/source/saving.rst

@@ -233,7 +233,7 @@ Here is a full example:
   >>> snapshot = torchsnapshot.Snapshot.take(app_state=state, path=path)
   >>> # later
   >>> snapshot = torchsnapshot.Snapshot(path=path)
-  >>> tensordict2 = TensorDict({}, [])
+  >>> tensordict2 = TensorDict()
   >>> target_state = {
   >>>     "state": tensordict2
   >>> }

tensordict/base.py

@@ -5409,6 +5409,10 @@ def keys(
     ):
         """Returns a generator of tensordict keys.
 
+        .. warning:: TensorDict ``keys()`` method returns a lazy view of the keys. If the ``keys``
+            are queried but not iterated over and then the tensordict is modified, iterating over
+            the keys later will return the new configuration of the keys.
+
         Args:
             include_nested (bool, optional): if ``True``, nested values will be returned.
                 Defaults to ``False``.
@@ -10276,7 +10280,7 @@ def is_tensor_collection(datatype: type | Any) -> bool:
 
     Examples:
         >>> is_tensor_collection(TensorDictBase)  # True
-        >>> is_tensor_collection(TensorDict({}, []))  # True
+        >>> is_tensor_collection(TensorDict())  # True
         >>> @tensorclass
         ... class MyClass:
         ...     pass