Make functorch notebook symlinks PEP 517 valid (#157813)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/157813
Approved by: https://github.com/zou3519, https://github.com/atalman

.flake8

@@ -73,7 +73,7 @@ exclude =
     ./docs/src,
     ./functorch/docs,
     ./functorch/examples,
-    ./functorch/notebooks,
+    ./functorch/docs/source/tutorials,
     ./scripts,
     ./test/generated_type_hints_smoketest.py,
     ./third_party,

.lintrunner.toml

@@ -13,7 +13,7 @@ exclude_patterns = [
     '**/fb/**',
     'functorch/docs/**',
     'functorch/examples/**',
-    'functorch/notebooks/**',
+    'functorch/docs/source/tutorials/**',
     'torch/_inductor/fx_passes/serialized_patterns/**',
     'torch/_inductor/autoheuristic/artifacts/**',
     'scripts/**',
@@ -1568,7 +1568,6 @@ include_patterns = [
 exclude_patterns = [
     'caffe2/**',
     'functorch/docs/**',
-    'functorch/notebooks/**',
     'torch/_inductor/fx_passes/serialized_patterns/**',
     'torch/_inductor/autoheuristic/artifacts/**',
     'test/dynamo/cpython/**',

functorch/COMPILE_README.md

@@ -72,4 +72,4 @@ aot_function(f, ts_compiler, ts_compiler)(torch.randn(3, requires_grad=True))
 * Min-cut [recomputation](https://dev-discuss.pytorch.org/t/min-cut-optimal-recomputation-i-e-activation-checkpointing-with-aotautograd/467) with AOT Autograd.
 
 ## Tutorials
-You can use this [tutorial](https://pytorch.org/functorch/nightly/notebooks/aot_autograd_optimizations.html) to play with AOT Autograd.
+You can use this [tutorial](https://pytorch.org/functorch/nightly/tutorials/aot_autograd_optimizations.html) to play with AOT Autograd.

functorch/docs/source/conf.py

@@ -50,7 +50,7 @@ extensions = [
     "myst_nb",
 ]
 
-# sys.path.insert(0, os.path.abspath('./notebooks'))
+# sys.path.insert(0, os.path.abspath('./tutorials'))
 
 # build the templated autosummary files
 # autosummary_generate = True
@@ -131,7 +131,7 @@ language = "en"
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
 # This patterns also effect to html_static_path and html_extra_path
-exclude_patterns = ["notebooks/colab**", "notebooks/_src/**"]
+exclude_patterns = ["tutorials/colab**", "tutorials/_src/**"]
 
 # The name of the Pygments (syntax highlighting) style to use.
 pygments_style = "sphinx"

functorch/docs/source/index.rst

@@ -55,7 +55,7 @@ Check out our `whirlwind tour <whirlwind_tour>`_ or some of our tutorials mentio
    :caption: functorch: Getting Started
 
    install
-   notebooks/whirlwind_tour.ipynb
+   tutorials/whirlwind_tour.ipynb
    ux_limitations
 
 .. toctree::
@@ -70,9 +70,9 @@ Check out our `whirlwind tour <whirlwind_tour>`_ or some of our tutorials mentio
    :maxdepth: 1
    :caption: functorch Tutorials
 
-   notebooks/jacobians_hessians.ipynb
-   notebooks/ensembling.ipynb
-   notebooks/per_sample_grads.ipynb
-   notebooks/neural_tangent_kernels.ipynb
-   notebooks/aot_autograd_optimizations.ipynb
-   notebooks/minifier.ipynb
+   tutorials/jacobians_hessians.ipynb
+   tutorials/ensembling.ipynb
+   tutorials/per_sample_grads.ipynb
+   tutorials/neural_tangent_kernels.ipynb
+   tutorials/aot_autograd_optimizations.ipynb
+   tutorials/minifier.ipynb

functorch/docs/source/notebooks

@@ -1 +0,0 @@
-../../notebooks/

functorch/docs/source/tutorials/aot_autograd_optimizations.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# AOT Autograd - How to use and optimize?\n",
     "\n",
-    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/aot_autograd_optimizations.ipynb\">\n",
+    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/aot_autograd_optimizations.ipynb\">\n",
     "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>\n",
     "\n",

functorch/docs/source/tutorials/ensembling.ipynb

@@ -11,7 +11,7 @@
         "\n",
         "This example illustrates how to vectorize model ensembling using vmap.\n",
         "\n",
-        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/ensembling.ipynb\">\n",
+        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/ensembling.ipynb\">\n",
         "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
         "</a>\n",
         "\n",

functorch/docs/source/tutorials/jacobians_hessians.ipynb

@@ -5,7 +5,7 @@
       "source": [
         "# Jacobians, Hessians, hvp, vhp, and more: composing functorch transforms\n",
         "\n",
-        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/jacobians_hessians.ipynb\">\n",
+        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/jacobians_hessians.ipynb\">\n",
         "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
         "</a>\n",
         "\n",

functorch/docs/source/tutorials/neural_tangent_kernels.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Neural Tangent Kernels\n",
     "\n",
-    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/neural_tangent_kernels.ipynb\">\n",
+    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/neural_tangent_kernels.ipynb\">\n",
     "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>\n",
     "\n",

functorch/docs/source/tutorials/per_sample_grads.ipynb

@@ -9,7 +9,7 @@
       "source": [
         "# Per-sample-gradients\n",
         "\n",
-        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/per_sample_grads.ipynb\">\n",
+        "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/per_sample_grads.ipynb\">\n",
         "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
         "</a>\n",
         "\n",

functorch/docs/source/tutorials/whirlwind_tour.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Whirlwind Tour\n",
     "\n",
-    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/master/functorch/notebooks/whirlwind_tour.ipynb\">\n",
+    "<a href=\"https://colab.research.google.com/github/pytorch/pytorch/blob/main/functorch/docs/source/tutorials/whirlwind_tour.ipynb\">\n",
     "  <img style=\"width: auto\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>\n",
     "\n",

pyproject.toml

@@ -278,7 +278,7 @@ keep-runtime-typing = true
     "PYI021", # docstring-in-stub
     "PYI053", # string-or-bytes-too-long
 ]
-"functorch/notebooks/**" = [
+"functorch/docs/source/tutorials/**" = [
     "F401",
 ]
 "test/export/**" = [