[CI] remove experimental tutorials; revive docs nightly build

.github/workflows/documentation.yml

@@ -25,7 +25,7 @@ jobs:
 
       - name: Install dependent packages
         run: |
-          pip3 install tabulate cmake sphinx myst_parser sphinx-rtd-theme sphinx-gallery sphinx-multiversion
+          sudo pip3 install tabulate cmake sphinx matplotlib myst_parser sphinx-rtd-theme pandas pytest sphinx-gallery sphinx-multiversion
 
       #- name: Fetch dependent branches
       #  run: |
@@ -35,21 +35,25 @@ jobs:
         run: |
           cd docs
           export PATH=$(python3 -c "import cmake; print(cmake.CMAKE_BIN_DIR)"):$PATH
-          python3 -m sphinx . _build/html/main
+          sudo python3 -m sphinx . _build/html/main
 
       - name: Update docs
         run: |
-          mkdir /tmp/triton-docs
-          mv docs/_build/html/* /tmp/triton-docs/
-          git checkout gh-pages
-          cp -r CNAME /tmp/triton-docs/
-          cp -r index.html /tmp/triton-docs/
-          cp -r .nojekyll /tmp/triton-docs/
-          rm -r *
-          cp -r /tmp/triton-docs/* .
-          git add .
-          git commit -am "[GH-PAGES] Updated website"
+          export TMP_DOCS_PATH=/tmp/triton-docs
+          sudo mkdir $TMP_DOCS_PATH
+          sudo mv docs/_build/html/* $TMP_DOCS_PATH
+          sudo git checkout gh-pages
+          sudo cp -r CNAME $TMP_DOCS_PATH
+          sudo cp -r index.html $TMP_DOCS_PATH
+          sudo cp -r .nojekyll $TMP_DOCS_PATH
+          sudo rm -r *
+          sudo cp -r $TMP_DOCS_PATH* .
+          sudo rm -r $TMP_DOCS_PATH
+          sudo git add .
+          sudo git config --global user.email "N/A"
+          sudo git config --global user.name "gh-actions-bot"
+          sudo git commit -am "[GH-PAGES] Updated website"
 
       - name: Publish docs
         run: |
-          git push origin gh-pages
+          sudo git push origin gh-pages

python/tutorials/07-extern-functions.py

@@ -62,8 +62,7 @@ def asin_kernel(
 # We can also customize the libdevice library path by passing the path to the `libdevice` library to the `asin` kernel.
 
 output_triton = torch.empty_like(x)
-asin_kernel[grid](x, output_triton, n_elements, BLOCK_SIZE=1024,
-                  extern_libs={'libdevice': '/usr/local/cuda/nvvm/libdevice/libdevice.10.bc'})
+asin_kernel[grid](x, output_triton, n_elements, BLOCK_SIZE=1024)
 print(output_torch)
 print(output_triton)
 print(f'The maximum difference between torch and triton is '