Init CI

.github/workflows/python-app.yml

@@ -0,0 +1,61 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+     branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+      with:
+        path: 'triton_viz'
+
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: '3.10'
+
+    - name: Cache Dependencies
+      uses: actions/cache@v3
+      id: cache-pip
+      with:
+        path: /opt/hostedtoolcache/Python/3.10.13/x64
+        key: ${{ runner.os }}-pip-3.10-${{ hashFiles('**/setup.py') }}
+        restore-keys: |
+          ${{ runner.os }}-pip-
+
+    - name: Clone Triton and Install
+      run: |
+        git clone https://github.com/openai/triton.git
+        cd triton/python
+        pip install -e .
+
+    - name: Install Dependencies if Cache Missed
+      if: steps.cache-pip.outputs.cache-hit != 'true'
+      run: |
+        cd triton_viz
+        pip install -e .
+        pre-commit install
+        pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
+        pip uninstall pytorch-triton -y
+
+    - name: Lint with pre-commit
+      run: |
+        cd triton_viz
+        pre-commit run --all-files
+
+    - name: Test with pytest
+      run: |
+        cd triton_viz
+        python -m pytest Examples

Examples/conftest.py

@@ -0,0 +1,8 @@
+import pytest
+from triton_viz.interpreter import record_builder
+
+
+@pytest.fixture(autouse=True, scope="function")
+def clear_cache():
+    yield
+    record_builder.reset()

Examples/vec_add.py

@@ -60,7 +60,7 @@ def perform_vec_add(device, size):
     torch.manual_seed(0)
     x = torch.rand(size, device=device)
     y = torch.rand(size, device=device)
-    output = add(x, y)  # Assuming add() is your custom function
+    output, grid = add(x, y)  # Assuming add() is your custom function
     return x, y, output
 
 

setup.py

@@ -13,5 +13,8 @@
         "triton",
         "gradio",
         "chalk-diagrams @ git+https://github.com/chalk-diagrams/chalk.git",
+        "pyarrow",
+        "pre-commit",
+        "pytest",
     ],
 )

triton_viz/interface.py

@@ -3,7 +3,6 @@
 import tempfile
 
 
-
 def launch():
     cache = {}
     program_records, tt = triton_viz.collect_grid()
@@ -19,7 +18,7 @@ def launch():
                 s1 = gr.Slider(0, m[0], value=0, step=1, label="Program Id 0")
                 s2 = gr.Slider(0, m[1], value=0, step=1, label="Program Id 1")
                 s3 = gr.Slider(0, m[2], value=0, step=1, label="Program Id 2")
-        
+
         def update(inp):
             a = inp[s1]
             b = inp[s2]

triton_viz/interpreter.py

@@ -259,8 +259,9 @@ def wrapper(arg, axis):
 
 def _create_reduce(fn, op_name):
     @wraps(fn)
-    def wrapper(input, axis, keep_dims=False):
-        ret = fn(input, axis, keep_dims)
+    def wrapper(input, axis=None, **kwargs):
+        ret = fn(input, axis=axis, **kwargs)
+        keep_dims = kwargs.get("keep_dims", False)
         reduce_record = Reduce(
             input_shape=input.handle.data.shape,
             index=axis,