Update links after repository renamings (#2174)

README.md

@@ -2,10 +2,10 @@
 
 High Performance Machine Learning Distribution
 
-*We are currently rebuilding SHARK to take advantage of [Turbine](https://github.com/nod-ai/SHARK-Turbine). Until that is complete make sure you use an .exe release or a checkout of the `SHARK-1.0` branch, for a working SHARK*
+*We are currently rebuilding SHARK to take advantage of [Turbine](https://github.com/iree-org/iree-turbine). Until that is complete make sure you use an .exe release or a checkout of the `SHARK-1.0` branch, for a working SHARK*
 
-[![Nightly Release](https://github.com/nod-ai/SHARK/actions/workflows/nightly.yml/badge.svg)](https://github.com/nod-ai/SHARK/actions/workflows/nightly.yml)
-[![Validate torch-models on Shark Runtime](https://github.com/nod-ai/SHARK/actions/workflows/test-models.yml/badge.svg)](https://github.com/nod-ai/SHARK/actions/workflows/test-models.yml)
+[![Nightly Release](https://github.com/nod-ai/SHARK-Studio/actions/workflows/nightly.yml/badge.svg)](https://github.com/nod-ai/SHARK-Studio/actions/workflows/nightly.yml)
+[![Validate torch-models on Shark Runtime](https://github.com/nod-ai/SHARK-Studio/actions/workflows/test-models.yml/badge.svg)](https://github.com/nod-ai/SHARK-Studio/actions/workflows/test-models.yml)
 
 
 <details>
@@ -27,9 +27,9 @@ Other users please ensure you have your latest vendor drivers and Vulkan SDK fro
 
 ### Quick Start for SHARK Stable Diffusion for Windows 10/11 Users
 
-Install the Driver from (Prerequisites)[https://github.com/nod-ai/SHARK#install-your-hardware-drivers] above
+Install the Driver from (Prerequisites)[https://github.com/nod-ai/SHARK-Studio#install-your-hardware-drivers] above
 
-Download the [stable release](https://github.com/nod-ai/shark/releases/latest) or the most recent [SHARK 1.0 pre-release](https://github.com/nod-ai/shark/releases).
+Download the [stable release](https://github.com/nod-ai/SHARK-Studio/releases/latest) or the most recent [SHARK 1.0 pre-release](https://github.com/nod-ai/SHARK-Studio/releases).
 
 Double click the .exe, or [run from the command line](#running) (recommended), and you should have the [UI](http://localhost:8080/) in the browser.
 
@@ -73,7 +73,7 @@ cd SHARK
 
 ## Switch to the Correct Branch (IMPORTANT!)
 
-Currently SHARK is being rebuilt for [Turbine](https://github.com/nod-ai/SHARK-Turbine) on the `main` branch. For now you are strongly discouraged from using `main` unless you are working on the rebuild effort, and should not expect the code there to produce a working application for Image Generation, So for now you'll need switch over to the `SHARK-1.0` branch and use the stable code.
+Currently SHARK is being rebuilt for [Turbine](https://github.com/iree-org/iree-turbine) on the `main` branch. For now you are strongly discouraged from using `main` unless you are working on the rebuild effort, and should not expect the code there to produce a working application for Image Generation, So for now you'll need switch over to the `SHARK-1.0` branch and use the stable code.
 
 ```shell
 git checkout SHARK-1.0
@@ -358,12 +358,12 @@ SHARK is maintained to support the latest innovations in ML Models:
 | Vision Transformer       | :green_heart:         | :green_heart:         | :green_heart:            |
 | ResNet50         | :green_heart:         | :green_heart:         | :green_heart:            |
 
-For a complete list of the models supported in SHARK, please refer to [tank/README.md](https://github.com/nod-ai/SHARK/blob/main/tank/README.md).
+For a complete list of the models supported in SHARK, please refer to [tank/README.md](https://github.com/nod-ai/SHARK-Studio/blob/main/tank/README.md).
 
 ## Communication Channels
 
 *   [SHARK Discord server](https://discord.gg/RUqY2h2s9u): Real time discussions with the SHARK team and other users
-*   [GitHub issues](https://github.com/nod-ai/SHARK/issues): Feature requests, bugs etc
+*   [GitHub issues](https://github.com/nod-ai/SHARK-Studio/issues): Feature requests, bugs etc
 
 ## Related Projects
 

apps/shark_studio/api/utils.py

@@ -192,7 +192,7 @@ def get_rocm_target_chip(device_str):
         if key in device_str:
             return rocm_chip_map[key]
     raise AssertionError(
-        f"Device {device_str} not recognized. Please file an issue at https://github.com/nod-ai/SHARK/issues."
+        f"Device {device_str} not recognized. Please file an issue at https://github.com/nod-ai/SHARK-Studio/issues."
     )
 
 

docs/shark_iree_profiling.md

@@ -1,9 +1,9 @@
 # Overview
 
 This document is intended to provide a starting point for profiling with SHARK/IREE. At it's core
-[SHARK](https://github.com/nod-ai/SHARK/tree/main/tank) is a python API that links the MLIR lowerings from various
+[SHARK](https://github.com/nod-ai/SHARK-Studio/tree/main/tank) is a python API that links the MLIR lowerings from various
 frameworks + frontends (e.g. PyTorch -> Torch-MLIR) with the compiler + runtime offered by IREE. More information
-on model coverage and framework support can be found [here](https://github.com/nod-ai/SHARK/tree/main/tank). The intended
+on model coverage and framework support can be found [here](https://github.com/nod-ai/SHARK-Studio/tree/main/tank). The intended
 use case for SHARK is for compilation and deployment of performant state of the art AI models.
 
 ![image](https://user-images.githubusercontent.com/22101546/217151219-9bb184a3-cfb9-4788-bb7e-5b502953525c.png)

docs/shark_sd_blender.md

@@ -6,7 +6,7 @@ We currently make use of the [AI-Render Plugin](https://github.com/benrugg/AI-Re
 
 ## Setup SHARK and prerequisites:
 
- * Download the latest SHARK SD webui .exe from [here](https://github.com/nod-ai/SHARK/releases) or follow instructions on the [README](https://github.com/nod-ai/SHARK#readme)
+ * Download the latest SHARK SD webui .exe from [here](https://github.com/nod-ai/SHARK-Studio/releases) or follow instructions on the [README](https://github.com/nod-ai/SHARK-Studio#readme)
  * Once you have the .exe where you would like SHARK to install, run the .exe from terminal/PowerShell with the `--api` flag:
 ```
 ## Run the .exe in API mode:

docs/shark_sd_koboldcpp.md

@@ -20,8 +20,8 @@ This does mean however, that on a brand new fresh install of SHARK that has not
 
 ## Setup SHARK and prerequisites:
 
- * Make sure you have suitable drivers for your graphics card installed. See the prerequisties section of the [README](https://github.com/nod-ai/SHARK#readme).
- * Download the latest SHARK studio .exe from [here](https://github.com/nod-ai/SHARK/releases) or follow the instructions in the [README](https://github.com/nod-ai/SHARK#readme) for an advanced, Linux or Mac install.
+ * Make sure you have suitable drivers for your graphics card installed. See the prerequisties section of the [README](https://github.com/nod-ai/SHARK-Studio#readme).
+ * Download the latest SHARK studio .exe from [here](https://github.com/nod-ai/SHARK-Studio/releases) or follow the instructions in the [README](https://github.com/nod-ai/SHARK-Studio#readme) for an advanced, Linux or Mac install.
  * Run SHARK from terminal/PowerShell with the `--api` flag. Since koboldcpp also expects both CORS support and the image generator to be running on port `7860` rather than SHARK default of `8080`, also include both the `--api_accept_origin` flag with a suitable origin (use `="*"` to enable all origins) and `--server_port=7860` on the command line. (See the if you want to run SHARK on a different port)
 
 ```powershell

requirements.txt

@@ -8,7 +8,7 @@ wheel
 
 torch==2.3.0
 shark-turbine @ git+https://github.com/iree-org/iree-turbine.git@main
-turbine-models @ git+https://github.com/nod-ai/SHARK-Turbine.git@main#subdirectory=models
+turbine-models @ git+https://github.com/nod-ai/SHARK-ModelDev.git@main#subdirectory=models
 diffusers @ git+https://github.com/nod-ai/[email protected]
 brevitas @ git+https://github.com/Xilinx/brevitas.git@6695e8df7f6a2c7715b9ed69c4b78157376bb60b
 

setup.py

@@ -21,7 +21,7 @@
     long_description_content_type="text/markdown",
     project_urls={
         "Code": "https://github.com/nod-ai/SHARK",
-        "Bug Tracker": "https://github.com/nod-ai/SHARK/issues",
+        "Bug Tracker": "https://github.com/nod-ai/SHARK-Studio/issues",
     },
     classifiers=[
         "Programming Language :: Python :: 3",

shark/__init__.py

@@ -14,7 +14,7 @@ def shark(model, inputs, *, options):
         log.exception(
             "Unable to import SHARK - High Performance Machine Learning Distribution"
             "Please install the right version of SHARK that matches the PyTorch version being used. "
-            "Refer to https://github.com/nod-ai/SHARK/ for details."
+            "Refer to https://github.com/nod-ai/SHARK-Studio/ for details."
         )
         raise
     return SharkBackend(model, inputs, options)

shark/examples/shark_training/stable_diffusion/README.md

@@ -23,7 +23,7 @@ pip install accelerate transformers ftfy
 
 Please cherry-pick this branch of torch-mlir: https://github.com/vivekkhandelwal1/torch-mlir/tree/sd-ops
 and build it locally. You can find the instructions for using locally build Torch-MLIR,
-here: https://github.com/nod-ai/SHARK#how-to-use-your-locally-built-iree--torch-mlir-with-shark
+here: https://github.com/nod-ai/SHARK-Studio#how-to-use-your-locally-built-iree--torch-mlir-with-shark
 
 ## Run the Stable diffusion fine tuning
 

shark/iree_utils/_common.py

@@ -157,7 +157,7 @@ def device_driver_info(device):
             f"Required drivers for {device} not found. {device_driver_err_map[device]['debug']} "
             f"Please install the required drivers{device_driver_err_map[device]['solution']} "
             f"For further assistance please reach out to the community on discord [https://discord.com/invite/RUqY2h2s9u]"
-            f" and/or file a bug at https://github.com/nod-ai/SHARK/issues"
+            f" and/or file a bug at https://github.com/nod-ai/SHARK-Studio/issues"
         )
         return err_msg
     else:

tank/README.md

@@ -142,7 +142,7 @@ For more information refer to [MODEL TRACKING SHEET](https://docs.google.com/spr
 
 ### Run all model tests on CPU/GPU/VULKAN/Metal
 
-For a list of models included in our pytest model suite, see https://github.com/nod-ai/SHARK/blob/main/tank/all_models.csv
+For a list of models included in our pytest model suite, see https://github.com/nod-ai/SHARK-Studio/blob/main/tank/all_models.csv
 
 ```shell
 pytest tank/test_models.py

tank/generate_sharktank.py

@@ -191,7 +191,7 @@ def is_valid_file(arg):
     #    type=lambda x: is_valid_file(x),
     #    default="./tank/torch_model_list.csv",
     #    help="""Contains the file with torch_model name and args.
-    #         Please see: https://github.com/nod-ai/SHARK/blob/main/tank/torch_model_list.csv""",
+    #         Please see: https://github.com/nod-ai/SHARK-Studio/blob/main/tank/torch_model_list.csv""",
     # )
     # parser.add_argument(
     #    "--ci_tank_dir",

tank/test_models.py

@@ -396,7 +396,7 @@ def test_module(self, dynamic, device, config):
             and device == "rocm"
         ):
             pytest.xfail(
-                reason="iree-compile buffer limit issue: https://github.com/nod-ai/SHARK/issues/475"
+                reason="iree-compile buffer limit issue: https://github.com/nod-ai/SHARK-Studio/issues/475"
             )
         if (
             config["model_name"]
@@ -407,7 +407,7 @@ def test_module(self, dynamic, device, config):
             and device == "rocm"
         ):
             pytest.xfail(
-                reason="Numerics issues: https://github.com/nod-ai/SHARK/issues/476"
+                reason="Numerics issues: https://github.com/nod-ai/SHARK-Studio/issues/476"
             )
         if config["framework"] == "tf" and self.module_tester.batch_size != 1:
             pytest.xfail(