Remove ONN module and references from Mase

docs/source/modules/chop/passes_module.rst

@@ -35,13 +35,9 @@ Summary of Mase Module Transform Passes
   * - :py:meth:`~chop.passes.module.transforms.quantize.quantize_module_transform_pass`
     - `test_module_quantize <https://github.com/DeepWok/mase/blob/main/test/passes/module/transforms/quantize/test_quantize_module.py>`_
     - Apply quantization transformation to the given nn.Module
-  * - :py:meth:`~chop.passes.module.transforms.onn.optical_transformer_module_transform_pass`
-    - See :doc:`transform/onn`
-    - Transform modules to Optical Neural Network (ONN) equivalents
 
 .. toctree::
   :maxdepth: 2
   :caption: Full list of module-level transform passes
 
   module_transform/quantization
-  transform/onn

docs/source/modules/documentation/getting_started/Get-started-using-uv.md

@@ -49,7 +49,7 @@ In the `uv` workflow, the standard way to execute commands is via `uv run`. This
 2. **Running tests**:
    You can run the test suite while ignoring tests that require heavy hardware dependencies (like Verilator) or platform-specific packages (like `mase-triton`):
    ```bash
-   uv run pytest test/ --ignore=test/passes/graph/transforms/verilog --ignore=test/passes/module/transforms/onn/test_optical_transformer.py
+   uv run pytest test/ --ignore=test/passes/graph/transforms/verilog
    ```
 
 ## Test your installation