[CI] Replace "openai/triton" with "triton-lang/triton" (#3900)

.github/workflows/integration-tests.yml

@@ -103,7 +103,7 @@ jobs:
         id: set-matrix
         if: env.enable_integration == 'true'
         run: |
-          if [ x"${{ github.repository }}" == x"openai/triton" ]; then
+          if [ x"${{ github.repository }}" == x"triton-lang/triton" ]; then
             echo '::set-output name=matrix-CUDA::[["self-hosted", "A100"], ["self-hosted", "H100"]]'
             echo '::set-output name=matrix-HIP::[["self-hosted", "gfx90a"]]'
           else

.github/workflows/integration-tests.yml.in

@@ -111,7 +111,7 @@ jobs:
         id: set-matrix
         if: env.enable_integration == 'true'
         run: |
-          if [ x"${{ github.repository }}" == x"openai/triton" ]; then
+          if [ x"${{ github.repository }}" == x"triton-lang/triton" ]; then
             echo '::set-output name=matrix-CUDA::[["self-hosted", "A100"], ["self-hosted", "H100"]]'
             echo '::set-output name=matrix-HIP::[["self-hosted", "gfx90a"]]'
           else

.github/workflows/llvm-build.yml

@@ -287,23 +287,23 @@ jobs:
           ${{ github.workspace }}/llvm-*-${{ matrix.config.target-os }}-${{ matrix.config.arch }}.tar.gz
 
     - name: Azure Login
-      if: ${{ (github.repository == 'openai/triton') }}
+      if: ${{ (github.repository == 'triton-lang/triton') }}
       uses: azure/login@v2
       with:
         client-id: ${{ secrets.AZURE_CLIENT_ID }}
         tenant-id: ${{ secrets.AZURE_TENANT_ID }}
         subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
 
     - name: Upload LLVM Artifacts to Azure
-      if: ${{ (github.repository == 'openai/triton') }}
+      if: ${{ (github.repository == 'triton-lang/triton') }}
       run: |
         az storage blob upload --account-name tritonlang --auth-mode login --container-name llvm-builds --file "${{ env.llvm_install_dir }}.tar.gz" --name "${{ env.llvm_install_dir }}.tar.gz" --overwrite
 
         URL=$(az storage blob url --account-name tritonlang --auth-mode login --container-name llvm-builds --name "${{ env.llvm_install_dir }}.tar.gz")
         echo "Blob URL: ${URL}"
 
     - name: Azure Logout
-      if: ${{ (github.repository == 'openai/triton') }}
+      if: ${{ (github.repository == 'triton-lang/triton') }}
       run: |
         az logout
         az cache purge

.github/workflows/test-backends.yml

@@ -16,7 +16,7 @@ jobs:
       - name: Prepare runner matrix
         id: set-matrix
         run: |
-          if [ x"${{ github.repository }}" == x"openai/triton" ]; then
+          if [ x"${{ github.repository }}" == x"triton-lang/triton" ]; then
             echo '::set-output name=matrix-optional::[["self-hosted", "gfx90a"], ["self-hosted", "arc770"]]'
           else
             echo '::set-output name=matrix-optional::["ubuntu-latest"]'

CONTRIBUTING.md

@@ -64,4 +64,4 @@ We are committed to accepting functional bug fixes that meet our quality standar
 
 ## Controversial Changes
 
-More controversial design changes (e.g., changes in our IRs/APIs/Passes) are evaluated on a case-by-case basis under the subjective judgment of core maintainers. While it is possible for contributors to propose and land deep design changes upstream (see https://github.com/openai/triton/pull/1305), the community should expect such occurrences to be relatively rare.
+More controversial design changes (e.g., changes in our IRs/APIs/Passes) are evaluated on a case-by-case basis under the subjective judgment of core maintainers. While it is possible for contributors to propose and land deep design changes upstream (see https://github.com/triton-lang/triton/pull/1305), the community should expect such occurrences to be relatively rare.

README.md

@@ -6,7 +6,7 @@ We're hiring! If you are interested in working on Triton at OpenAI, we have role
 
 | **`Documentation`** | **`Nightly Wheels`** |
 |-------------------- | -------------------- |
-| [![Documentation](https://github.com/openai/triton/actions/workflows/documentation.yml/badge.svg)](https://triton-lang.org/) | [![Wheels](https://github.com/openai/triton/actions/workflows/wheels.yml/badge.svg?branch=release/2.0.x)](https://github.com/openai/triton/actions/workflows/wheels.yml) |
+| [![Documentation](https://github.com/triton-lang/triton/actions/workflows/documentation.yml/badge.svg)](https://triton-lang.org/) | [![Wheels](https://github.com/triton-lang/triton/actions/workflows/wheels.yml/badge.svg?branch=release/2.0.x)](https://github.com/triton-lang/triton/actions/workflows/wheels.yml) |
 
 
 # Triton
@@ -35,7 +35,7 @@ pip install -U --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/
 # Install from source
 
 ```
-git clone https://github.com/openai/triton.git;
+git clone https://github.com/triton-lang/triton.git;
 cd triton;
 
 pip install ninja cmake wheel; # build-time dependencies
@@ -45,7 +45,7 @@ pip install -e python
 Or with a virtualenv:
 
 ```
-git clone https://github.com/openai/triton.git;
+git clone https://github.com/triton-lang/triton.git;
 cd triton;
 
 python -m venv .venv --prompt triton;
@@ -208,7 +208,7 @@ Version 2.0 is out! New features include:
 
 # Contributing
 
-Community contributions are more than welcome, whether it be to fix bugs or to add new features at [github](https://github.com/openai/triton/). For more detailed instructions, please visit our [contributor's guide](CONTRIBUTING.md).
+Community contributions are more than welcome, whether it be to fix bugs or to add new features at [github](https://github.com/triton-lang/triton/). For more detailed instructions, please visit our [contributor's guide](CONTRIBUTING.md).
 
 
 # Compatibility

docs/conf.py

@@ -158,7 +158,7 @@ def documenter(app, obj, parent):
     'filename_pattern': '',
     # TODO: Re-enable the grouped-gemm tutorial.  It currently hits this
     # assertion:
-    # https://github.com/openai/triton/blob/main/lib/Dialect/TritonNvidiaGPU/Transforms/FenceInsertion.cpp#L127
+    # https://github.com/triton-lang/triton/blob/main/lib/Dialect/TritonNvidiaGPU/Transforms/FenceInsertion.cpp#L127
     'ignore_pattern': r'(__init__\.py|11.*.py)',
     'within_subsection_order': FileNameSortKey,
     'reference_url': {

docs/getting-started/installation.rst

@@ -2,7 +2,7 @@
 Installation
 ============
 
-For supported platform/OS and supported hardware, review the `Compatibility <https://github.com/openai/triton?tab=readme-ov-file#compatibility>`_ section on Github.
+For supported platform/OS and supported hardware, review the `Compatibility <https://github.com/triton-lang/triton?tab=readme-ov-file#compatibility>`_ section on Github.
 
 --------------------
 Binary Distributions
@@ -35,14 +35,14 @@ You can install the Python package from source by running the following commands
 
 .. code-block:: bash
 
-      git clone https://github.com/openai/triton.git;
+      git clone https://github.com/triton-lang/triton.git;
       cd triton/python;
       pip install ninja cmake wheel; # build-time dependencies
       pip install -e .
 
 Note that, if llvm is not present on your system, the setup.py script will download the official LLVM static libraries and link against that.
 
-For building with a custom LLVM, review the `Building with a custom LLVM <https://github.com/openai/triton?tab=readme-ov-file#building-with-a-custom-llvm>`_ section on Github.
+For building with a custom LLVM, review the `Building with a custom LLVM <https://github.com/triton-lang/triton?tab=readme-ov-file#building-with-a-custom-llvm>`_ section on Github.
 
 You can then test your installation by running the unit tests:
 

docs/index.rst

@@ -67,4 +67,4 @@ Check out the following documents to learn more about Triton and how it compares
    programming-guide/chapter-2/related-work
    programming-guide/chapter-3/debugging
 
-.. _Triton: https://github.com/openai/triton
+.. _Triton: https://github.com/triton-lang/triton

docs/meetups/08-22-2023/notes.md

@@ -31,11 +31,11 @@ Recording link [here](https://drive.google.com/file/d/19Nnc0i7zUyn-ni2RSFHbPHHiP
    - Community can start with the latest stable branch and rebase 3rd party plugin on top of that. OAI has no resources to commit to, but community can contribute.
 3. Linalg updates
    - Discussion on Github for Linalg as a middle layer between the language and target hardware. Includes support for block pointers and modulo operators.
-   - Please join the conversation [here](https://github.com/openai/triton/discussions/1842)
+   - Please join the conversation [here](https://github.com/triton-lang/triton/discussions/1842)
    - Branch pushed is behind the tip, will work on getting it caught up on the tip.
 4. Intel GPU Backend status update.
-   - Please refer to slides [here](https://github.com/openai/triton/blob/main/docs/meetups/Intel%20XPU%20Backend%20for%20Triton%20-%20Update%20-%200823.pptx)
+   - Please refer to slides [here](https://github.com/triton-lang/triton/blob/main/docs/meetups/Intel%20XPU%20Backend%20for%20Triton%20-%20Update%20-%200823.pptx)
 5. Intel working on the CPU backend for Triton.
-   - Please refer to slides [here](https://github.com/openai/triton/blob/main/docs/meetups/Intel%20XPU%20Backend%20for%20Triton%20-%20Update%20-%200823.pptx)
+   - Please refer to slides [here](https://github.com/triton-lang/triton/blob/main/docs/meetups/Intel%20XPU%20Backend%20for%20Triton%20-%20Update%20-%200823.pptx)
 6. AMD updates
-   - Please refer to slides [here](https://github.com/openai/triton/blob/main/docs/meetups/Triton_AMD_update_0823.pdf).
+   - Please refer to slides [here](https://github.com/triton-lang/triton/blob/main/docs/meetups/Triton_AMD_update_0823.pdf).

docs/programming-guide/chapter-3/debugging.rst

@@ -5,7 +5,7 @@ Debugging Triton
 This tutorial provides guidance for debugging Triton programs.
 It is mostly documented for Triton users.
 Developers interested in exploring Triton's backend, including MLIR code transformation and LLVM code generation,
-can refer to this `section <https://github.com/openai/triton?tab=readme-ov-file#tips-for-hacking>`_ to explore debugging options.
+can refer to this `section <https://github.com/triton-lang/triton?tab=readme-ov-file#tips-for-hacking>`_ to explore debugging options.
 
 ------------------------------------
 Using Triton's Debugging Operations

lib/Dialect/TritonGPU/Transforms/AccelerateMatmul.cpp

@@ -85,7 +85,7 @@ warpsPerTileV2(tt::DotOp dotOp, const ArrayRef<int64_t> shape, int numWarps) {
   shapePerWarp[rank - 2] = 16;
   // TODO (@daadaada): double-check.
   // original logic in
-  // https://github.com/openai/triton/blob/master/lib/codegen/analysis/layout.cc#L252
+  // https://github.com/triton-lang/triton/blob/master/lib/codegen/analysis/layout.cc#L252
   // seems buggy for shape = [32, 16] ?
   do {
     if (ret[0] * ret[1] >= numWarps)

python/setup.py

@@ -578,7 +578,7 @@ def get_install_requires():
     zip_safe=False,
     # for PyPI
     keywords=["Compiler", "Deep Learning"],
-    url="https://github.com/openai/triton/",
+    url="https://github.com/triton-lang/triton/",
     classifiers=[
         "Development Status :: 4 - Beta",
         "Intended Audience :: Developers",

python/test/regression/test_cast_matmul.py

@@ -1,5 +1,5 @@
 """
-issue: https://github.com/openai/triton/issues/2523
+issue: https://github.com/triton-lang/triton/issues/2523
 fused type convert and matmul, base on triton matmul, the different with matmul:
 1. force C's dtype=dot_out_dtype to ["float16", "float32"]
 2. accept A and B with dtype=["float32", "float64"]

python/test/unit/language/test_core.py

@@ -5124,7 +5124,7 @@ def test_fp8_dot_acc(in_type_str, low_precision_acc, device):
 def test_enable_fp_fusion(enable_fp_fusion, device):
     if is_hip():
         pytest.skip(
-            'test_enable_fp_fusion for HIP currently broken in https://github.com/openai/triton. Use https://github.com/ROCmSoftwarePlatform/triton'
+            'test_enable_fp_fusion for HIP currently broken in https://github.com/triton-lang/triton. Use https://github.com/ROCmSoftwarePlatform/triton'
         )
 
     # Sequential multiply add can be fused by backend

test/TritonGPU/loop-pipeline.mlir

@@ -1146,7 +1146,7 @@ module attributes {"triton_gpu.target" = "cuda:80", "triton_gpu.num-ctas" = 1 :
     %51 = tt.addptr %50, %47 : tensor<64x256x!tt.ptr<i8>, #blocked>, tensor<64x256xi32, #blocked>
 
     // Check that both loads in the loop are pipelined.
-    // TODO(jlebar): https://github.com/openai/triton/pull/3472 disables the
+    // TODO(jlebar): https://github.com/triton-lang/triton/pull/3472 disables the
     // relevant optimization.  Once we've reenabled it, we can uncomment this test.
     // CHECK: scf.for
     // COM: CHECK-NOT: tt.load

third_party/proton/README.md

@@ -9,7 +9,7 @@ Proton is a lightweight profiler for Triton, designed to be used for code writte
 The following command installs the latest version of Proton.
 
 ```bash
-git clone https://github.com/openai/triton
+git clone https://github.com/triton-lang/triton
 cd triton/python
 pip install .
 ```