Fixes #8 and fixes #7

.github/workflows/pages_deploy.yml

@@ -28,13 +28,17 @@ jobs:
           pip install -r requirements.txt
           wget https://github.com/tenstorrent/tt-metal/releases/download/v0.49.0/metal_libs-0.49.0+wormhole.b0-cp38-cp38-linux_x86_64.whl
           pip install --extra-index-url https://download.pytorch.org/whl/cpu metal_libs-0.49.0+wormhole.b0-cp38-cp38-linux_x86_64.whl 
+      - name: Convert Installation.md to .rst in ttnn and tt-metallium docs
+        run: |
+          pandoc --from=markdown --to=rst --output=ttnn/ttnn/installing.rst ttnn/ttnn/installing.md
+          pandoc --from=markdown --to=rst --output=tt-metalium/installing.rst tt-metalium/installing.md
       - name: Build documentation
         run: |
           python build_docs.py
       - name: Make root index.html
         run: |
           touch output/index.html
-
+          echo -n "docs.tenstorrent.com" > output/CNAME
       - name: Deploy to GitHub Pages
         uses: peaceiris/actions-gh-pages@v3
         with:

tt-metalium/get_started/get_started.rst

@@ -45,7 +45,7 @@ Where to go from here
 ^^^^^^^^^^^^^^^^^^^^^
 
 If you're an ML developer and looking for a simpler Python API to build models,
-take a look at our higher-level API `TT-NN <../../ttnn>`_.
+take a look at our higher-level API `TT-NN <../../../ttnn/latest/index.html>`_.
 
 If you're an internal TT-Metalium developer, please now read and review the
 `contribution standards

ttnn/conf.py

@@ -45,6 +45,8 @@
     "breathe",
 ]
 
+source_suffix = ['.rst', '.md']
+
 # Napoleon settings
 napoleon_google_docstring = False
 napoleon_numpy_docstring = True

ttnn/ttnn/get_started.rst

@@ -9,14 +9,14 @@ The GitHub page for the project is located here:
 https://github.com/tenstorrent/tt-metal
 
 Installation and environment setup instructions are in the
-`installation guide <../ttnn/installing.html>`_.
+`installation guide <./installing.html>`_.
 
 1. Install and Build
 ^^^^^^^^^^^^^^^^^^^^
 
 Install and build the project by following the instructions in the
 `installation guide
-<../ttnn/installing.html>`_.
+<./installing.html>`_.
 
 2. Explore our model demos
 ^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -39,7 +39,7 @@ and
    This tutorial currently works on Grayskull only.
 
 Learn the basics of multi-head attention operations with TT-NN
-with a simple example: `TT-NN simple module <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-Multi-Head-Attention-using-ttnn>`_.
+with a simple example: `TT-NN simple module <./tutorials/ttnn_tutorials/003.html#Write-Multi-Head-Attention-using-ttnn>`_.
 
 4. TT-NN Tutorial: Multi-Head Attention (Optimized)
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -48,7 +48,7 @@ with a simple example: `TT-NN simple module <../../ttnn/ttnn/tutorials/ttnn_tuto
    This tutorial currently works on Grayskull only.
 
 Dive deeper into multi-head attention operations in TT-NN, optimizing
-performance: `optimizing performance <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-optimized-version-of-Multi-Head-Attention>`_.
+performance: `optimizing performance <./tutorials/ttnn_tutorials/003.html#Write-optimized-version-of-Multi-Head-Attention>`_.
 
 Where to go from here
 ^^^^^^^^^^^^^^^^^^^^^

ttnn/ttnn/usage.rst

@@ -77,7 +77,7 @@ Basic Examples
 
 `tt_lib` operations are missing some of the features of ttnn operations such as graph tracing and in order to support these features, ttnn provides a different to call `tt_lib` operations that enabled the missing features.
 
-.. literalinclude:: ../../../../ttnn/examples/usage/using_tt_lib.py
+.. literalinclude:: examples/usage/using_tt_lib.py
    :language: python