Fix for migration

Signed-off-by: pdhirajkumarprasad <dhirajp@amd.com>

.github/workflows/gh-pages-releases.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
 
     # Don't run this in everyone's forks.
-    if: github.repository == 'nod-ai/AMDSHARK'
+    if: github.repository == 'nod-ai/AMD-SHARK-Studio'
 
     steps:
       - name: Checking out repository
@@ -18,7 +18,7 @@ jobs:
         with:
           token: ${{ secrets.NODAI_INVOCATION_TOKEN }}
       - name: Run scrape releases script
-        run: python ./build_tools/scrape_releases.py nod-ai AMDSHARK > /tmp/index.html
+        run: python ./build_tools/scrape_releases.py nod-ai AMD-SHARK-Studio > /tmp/index.html
         shell: bash
       - run: git fetch --all
       - run: git switch github-pages

.gitmodules

@@ -1,4 +1,4 @@
 [submodule "inference/thirdparty/amdshark-runtime"]
 	path = inference/thirdparty/amdshark-runtime
 	url =https://github.com/nod-ai/SRT.git
-	branch = amdshark-06032022
+	branch = shark-06032022

README.md

@@ -6,7 +6,7 @@ High Performance Machine Learning Distribution
 
 *The latest versions of this project are developments towards a refactor on top of IREE-Turbine. Until further notice, make sure you use an .exe release or a checkout of the `AMDSHARK-1.0` branch, for a working AMDSHARK-Studio*
 
-[![Nightly Release](https://github.com/nod-ai/AMDSHARK-Studio/actions/workflows/nightly.yml/badge.svg)](https://github.com/nod-ai/AMDSHARK-Studio/actions/workflows/nightly.yml)
+[![Nightly Release](https://github.com/nod-ai/AMD-SHARK-Studio/actions/workflows/nightly.yml/badge.svg)](https://github.com/nod-ai/AMD-SHARK-Studio/actions/workflows/nightly.yml)
 
 <details>
   <summary>Prerequisites - Drivers </summary>
@@ -27,9 +27,9 @@ Other users please ensure you have your latest vendor drivers and Vulkan SDK fro
 
 ### Quick Start for AMDSHARK Stable Diffusion for Windows 10/11 Users
 
-Install the Driver from [Prerequisites](https://github.com/nod-ai/AMDSHARK-Studio#install-your-hardware-drivers) above
+Install the Driver from [Prerequisites](https://github.com/nod-ai/AMD-SHARK-Studio#install-your-hardware-drivers) above
 
-Download the [stable release](https://github.com/nod-ai/AMDSHARK-Studio/releases/latest) or the most recent [AMDSHARK 1.0 pre-release](https://github.com/nod-ai/AMDSHARK-Studio/releases).
+Download the [stable release](https://github.com/nod-ai/AMD-SHARK-Studio/releases/latest) or the most recent [AMDSHARK 1.0 pre-release](https://github.com/nod-ai/AMD-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.
 
@@ -67,8 +67,8 @@ Enjoy.
 ## Check out the code
 
 ```shell
-git clone https://github.com/nod-ai/AMDSHARK.git
+git clone https://github.com/nod-ai/AMD-SHARK-Studio.git
-cd AMDSHARK
+cd AMD-SHARK-Studio
 ```
 
 ## Switch to the Correct Branch (IMPORTANT!)
@@ -179,12 +179,12 @@ python -m pip install --upgrade pip
 
 *macOS Metal* users please install https://sdk.lunarg.com/sdk/download/latest/mac/vulkan-sdk.dmg and enable "System wide install"
 
-### Install AMDSHARK
+### Install AMD-SHARK
 
-This step pip installs AMDSHARK and related packages on Linux Python 3.8, 3.10 and 3.11 and macOS / Windows Python 3.11
+This step pip installs AMD-SHARK and related packages on Linux Python 3.8, 3.10 and 3.11 and macOS / Windows Python 3.11
 
 ```shell
-pip install nodai-amdshark -f https://nod-ai.github.io/AMDSHARK/package-index/ -f https://llvm.github.io/torch-mlir/package-index/ -f  https://nod-ai.github.io/SRT/pip-release-links.html --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+pip install nodai-amdshark -f https://nod-ai.github.io/AMD-SHARK-Studio/package-index/ -f https://llvm.github.io/torch-mlir/package-index/ -f  https://nod-ai.github.io/SRT/pip-release-links.html --extra-index-url https://download.pytorch.org/whl/nightly/cpu
 ```
 
 ### Run amdshark tank model tests.
@@ -196,7 +196,7 @@ See tank/README.md for a more detailed walkthrough of our pytest suite and CLI.
 ### Download and run Resnet50 sample
 
 ```shell
-curl -O https://raw.githubusercontent.com/nod-ai/AMDSHARK/main/amdshark/examples/amdshark_inference/resnet50_script.py
+curl -O https://raw.githubusercontent.com/nod-ai/AMD-SHARK-Studio/main/amdshark/examples/amdshark_inference/resnet50_script.py
 #Install deps for test script
 pip install --pre torch torchvision torchaudio tqdm pillow gsutil --extra-index-url https://download.pytorch.org/whl/nightly/cpu
 python ./resnet50_script.py --device="cpu"  #use cuda or vulkan or metal
@@ -204,7 +204,7 @@ python ./resnet50_script.py --device="cpu"  #use cuda or vulkan or metal
 
 ### Download and run BERT (MiniLM) sample
 ```shell
-curl -O https://raw.githubusercontent.com/nod-ai/AMDSHARK/main/amdshark/examples/amdshark_inference/minilm_jit.py
+curl -O https://raw.githubusercontent.com/nod-ai/AMD-SHARK-Studio/main/amdshark/examples/amdshark_inference/minilm_jit.py
 #Install deps for test script
 pip install transformers torch --extra-index-url https://download.pytorch.org/whl/nightly/cpu
 python ./minilm_jit.py --device="cpu"  #use cuda or vulkan or metal
@@ -358,12 +358,12 @@ AMDSHARK 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 AMDSHARK, please refer to [tank/README.md](https://github.com/nod-ai/AMDSHARK-Studio/blob/main/tank/README.md).
+For a complete list of the models supported in AMDSHARK, please refer to [tank/README.md](https://github.com/nod-ai/AMD-SHARK-Studio/blob/main/tank/README.md).
 
 ## Communication Channels
 
 *   [AMDSHARK Discord server](https://discord.gg/RUqY2h2s9u): Real time discussions with the AMDSHARK team and other users
-*   [GitHub issues](https://github.com/nod-ai/AMDSHARK-Studio/issues): Feature requests, bugs etc
+*   [GitHub issues](https://github.com/nod-ai/AMD-SHARK-Studio/issues): Feature requests, bugs etc
 
 ## Related Projects
 

amdshark/__init__.py

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

amdshark/examples/amdshark_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/AMDSHARK-Studio#how-to-use-your-locally-built-iree--torch-mlir-with-amdshark
+here: https://github.com/nod-ai/AMD-SHARK-Studio#how-to-use-your-locally-built-iree--torch-mlir-with-amdshark
 
 ## Run the Stable diffusion fine tuning
 

amdshark/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/AMDSHARK-Studio/issues"
+            f" and/or file a bug at https://github.com/nod-ai/AMD-SHARK-Studio/issues"
         )
         return err_msg
     else:

apps/amdshark_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/AMDSHARK-Studio/issues."
+        f"Device {device_str} not recognized. Please file an issue at https://github.com/nod-ai/AMD-SHARK-Studio/issues."
     )
 
 

docs/amdshark_iree_profiling.md

@@ -1,9 +1,9 @@
 # Overview
 
 This document is intended to provide a starting point for profiling with AMDSHARK/IREE. At it's core
-[AMDSHARK](https://github.com/nod-ai/AMDSHARK-Studio/tree/main/tank) is a python API that links the MLIR lowerings from various
+[AMDSHARK](https://github.com/nod-ai/AMD-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/AMDSHARK-Studio/tree/main/tank). The intended
+on model coverage and framework support can be found [here](https://github.com/nod-ai/AMD-SHARK-Studio/tree/main/tank). The intended
 use case for AMDSHARK 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/amdshark_sd_blender.md

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

docs/amdshark_sd_koboldcpp.md

@@ -20,8 +20,8 @@ This does mean however, that on a brand new fresh install of AMDSHARK that has n
 
 ## Setup AMDSHARK 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/AMDSHARK-Studio#readme).
+ * Make sure you have suitable drivers for your graphics card installed. See the prerequisties section of the [README](https://github.com/nod-ai/AMD-SHARK-Studio#readme).
- * Download the latest AMDSHARK studio .exe from [here](https://github.com/nod-ai/AMDSHARK-Studio/releases) or follow the instructions in the [README](https://github.com/nod-ai/AMDSHARK-Studio#readme) for an advanced, Linux or Mac install.
+ * Download the latest AMDSHARK studio .exe from [here](https://github.com/nod-ai/AMD-SHARK-Studio/releases) or follow the instructions in the [README](https://github.com/nod-ai/AMD-SHARK-Studio#readme) for an advanced, Linux or Mac install.
  * Run AMDSHARK 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 AMDSHARK 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 AMDSHARK on a different port)
 
 ```powershell

requirements.txt

@@ -8,7 +8,7 @@ wheel
 
 torch==2.3.0
 iree-turbine @ git+https://github.com/iree-org/iree-turbine.git@main
-turbine-models @ git+https://github.com/nod-ai/AMDSHARK-ModelDev.git@main#subdirectory=models
+turbine-models @ git+https://github.com/nod-ai/AMD-SHARK-ModelDev.git@main#subdirectory=models
 diffusers @ git+https://github.com/nod-ai/diffusers@0.29.0.dev0-amdshark
 brevitas @ git+https://github.com/Xilinx/brevitas.git@6695e8df7f6a2c7715b9ed69c4b78157376bb60b
 

setup.py

@@ -20,8 +20,8 @@ setup(
     long_description=long_description,
     long_description_content_type="text/markdown",
     project_urls={
-        "Code": "https://github.com/nod-ai/AMDSHARK",
+        "Code": "https://github.com/nod-ai/AMD-SHARK-Studio",
-        "Bug Tracker": "https://github.com/nod-ai/AMDSHARK-Studio/issues",
+        "Bug Tracker": "https://github.com/nod-ai/AMD-SHARK-Studio/issues",
     },
     classifiers=[
         "Programming Language :: Python :: 3",

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/AMDSHARK-Studio/blob/main/tank/all_models.csv
+For a list of models included in our pytest model suite, see https://github.com/nod-ai/AMD-SHARK-Studio/blob/main/tank/all_models.csv
 
 ```shell
 pytest tank/test_models.py

tank/all_models.csv

@@ -1,19 +1,19 @@
 bert-base-uncased,linalg,torch,1e-2,1e-3,default,None,False,False,False,"",""
 bert-large-uncased,linalg,torch,1e-2,1e-3,default,None,False,False,False,"",""
 facebook/deit-small-distilled-patch16-224,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"Fails during iree-compile.",""
-google/vit-base-patch16-224,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMDSHARK/issues/311",""
+google/vit-base-patch16-224,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/311",""
-microsoft/beit-base-patch16-224-pt22k-ft22k,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"https://github.com/nod-ai/AMDSHARK/issues/390","macos"
+microsoft/beit-base-patch16-224-pt22k-ft22k,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/390","macos"
 microsoft/MiniLM-L12-H384-uncased,linalg,torch,1e-2,1e-3,default,None,False,False,False,"",""
-google/mobilebert-uncased,linalg,torch,1e-2,1e-3,default,None,False,False,False,"https://github.com/nod-ai/AMDSHARK/issues/344","macos"
+google/mobilebert-uncased,linalg,torch,1e-2,1e-3,default,None,False,False,False,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/344","macos"
-mobilenet_v3_small,linalg,torch,1e-1,1e-2,default,nhcw-nhwc,False,False,False,"https://github.com/nod-ai/AMDSHARK/issues/388, https://github.com/nod-ai/AMDSHARK/issues/1487","macos"
+mobilenet_v3_small,linalg,torch,1e-1,1e-2,default,nhcw-nhwc,False,False,False,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/388, https://github.com/nod-ai/AMD-SHARK-Studio/issues/1487","macos"
-nvidia/mit-b0,linalg,torch,1e-2,1e-3,default,None,True,True,True,"https://github.com/nod-ai/AMDSHARK/issues/343,https://github.com/nod-ai/AMDSHARK/issues/1487","macos"
+nvidia/mit-b0,linalg,torch,1e-2,1e-3,default,None,True,True,True,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/343,https://github.com/nod-ai/AMD-SHARK-Studio/issues/1487","macos"
 resnet101,linalg,torch,1e-2,1e-3,default,nhcw-nhwc/img2col,True,True,True,"","macos"
 resnet18,linalg,torch,1e-2,1e-3,default,None,True,True,True,"","macos"
 resnet50,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"","macos"
 squeezenet1_0,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"","macos"
 wide_resnet50_2,linalg,torch,1e-2,1e-3,default,nhcw-nhwc/img2col,True,True,True,"","macos"
 mnasnet1_0,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,False,False,False,"","macos"
-efficientnet_b0,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMDSHARK/issues/1487","macos"
+efficientnet_b0,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/1487","macos"
-efficientnet_b7,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMDSHARK/issues/1487","macos"
+efficientnet_b7,linalg,torch,1e-2,1e-3,default,nhcw-nhwc,True,True,True,"https://github.com/nod-ai/AMD-SHARK-Studio/issues/1487","macos"
 t5-base,linalg,torch,1e-2,1e-3,default,None,True,True,True,"","macos"
 t5-large,linalg,torch,1e-2,1e-3,default,None,True,True,True,"","macos"

tank/generate_amdsharktank.py

@@ -1,5 +1,5 @@
 # Lint as: python3
-"""AMDSHARK Tank"""
+"""AMD-SHARK Tank"""
 # python generate_amdsharktank.py, you have to give a csv tile with [model_name, model_download_url]
 # will generate local amdshark tank folder like this:
 #   /AMDSHARK
@@ -191,7 +191,7 @@ if __name__ == "__main__":
     #    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/AMDSHARK-Studio/blob/main/tank/torch_model_list.csv""",
+    #         Please see: https://github.com/nod-ai/AMD-SHARK-Studio/blob/main/tank/torch_model_list.csv""",
     # )
     # parser.add_argument(
     #    "--ci_tank_dir",

tank/test_models.py

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