From 7c44049815a9fdcc52c4b573fcc5ed47523f0aba Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Wed, 17 Dec 2025 05:56:03 +0000
Subject: [PATCH 01/11] update and fix

---
 docs/index.md  |   6 +-
 pyproject.toml |  14 +---
 uv.lock        | 211 +++++++++++++++++++++++++++++++++++--------------
 3 files changed, 157 insertions(+), 74 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index 108ec21..d8e45ee 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -8,10 +8,10 @@ This repository contains the Pytorch code in our paper [SNRAware: Improved Deep
     author = {Xue, Hui and Hooper, Sarah M. and Pierce, Iain and Davies, Rhodri H. and Stairs, John and Naegele, Joseph and Campbell-Washburn, Adrienne E. and Manisty, Charlotte and Moon, James C. and Treibel, Thomas A. and Hansen, Michael S. and Kellman, Peter},
     title = {SNRAware: Improved Deep Learning MRI Denoising with Signal-to-noise Ratio Unit Training and G-factor Map Augmentation},
     journal = {Radiology: Artificial Intelligence},
-    volume = {0},
-    number = {ja},
+    volume = {7},
+    number = {6},
     pages = {e250227},
-    year = {0},
+    year = {2025},
     doi = {10.1148/ryai.250227},
     note ={PMID: 41123451},
     URL = {https://doi.org/10.1148/ryai.250227}
diff --git a/pyproject.toml b/pyproject.toml
index 51dcbd5..5eecb9d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,8 +10,9 @@ authors = [
 keywords = []
 license = "MIT"
 dependencies = [
-    "mkl-fft>=2.0.0",
-    "mkl-service>=2.4.2",
+    "mkl",
+    "mkl-fft",
+    "mkl-service",
     "typing_extensions",
     "click",
     "h5py",
@@ -78,15 +79,6 @@ build-backend = "uv_build"
 [tool.uv.build-backend]
 module-name = ["snraware"]
 
-[[tool.uv.index]]
-name = "mkl"
-url = "https://urob.github.io/numpy-mkl"
-
-[tool.uv.sources]
-numpy = { index = "mkl" }
-scipy = { index = "mkl" }
-mkl-service = { index = "mkl" }
-
 [project.scripts]
 
 [tool.pyright]
diff --git a/uv.lock b/uv.lock
index 59f20d9..c7dbed0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1393,25 +1393,25 @@ wheels = [
 [[package]]
 name = "intel-cmplr-lib-ur"
 version = "2025.3.0"
-source = { registry = "https://urob.github.io/numpy-mkl" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "umf" },
 ]
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 [[package]]
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 version = "2025.3.0"
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 [[package]]
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 [[package]]
 name = "mkl"
 version = "2025.3.0"
-source = { registry = "https://urob.github.io/numpy-mkl" }
+source = { registry = "https://pypi.org/simple" }
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     { name = "onemkl-license" },
     { name = "tbb" },
 ]
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 [[package]]
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 version = "2.6.0"
-source = { registry = "https://urob.github.io/numpy-mkl" }
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 ]
 
 [[package]]
@@ -3643,6 +3732,7 @@ dependencies = [
     { name = "imageio" },
     { name = "lightning" },
     { name = "matplotlib" },
+    { name = "mkl" },
     { name = "mkl-fft" },
     { name = "mkl-service" },
     { name = "nibabel" },
@@ -3700,10 +3790,11 @@ requires-dist = [
     { name = "imageio" },
     { name = "lightning" },
     { name = "matplotlib" },
-    { name = "mkl-fft", specifier = ">=2.0.0" },
-    { name = "mkl-service", specifier = ">=2.4.2", index = "https://urob.github.io/numpy-mkl" },
+    { name = "mkl" },
+    { name = "mkl-fft" },
+    { name = "mkl-service" },
     { name = "nibabel" },
-    { name = "numpy", specifier = ">=2.2.6", index = "https://urob.github.io/numpy-mkl" },
+    { name = "numpy", specifier = ">=2.2.6" },
     { name = "omegaconf" },
     { name = "opencv-python" },
     { name = "pandas" },
@@ -3715,7 +3806,7 @@ requires-dist = [
     { name = "pywavelets" },
     { name = "pyyaml" },
     { name = "scikit-image" },
-    { name = "scipy", index = "https://urob.github.io/numpy-mkl" },
+    { name = "scipy" },
     { name = "setuptools" },
     { name = "torch", specifier = ">=2.8.0" },
     { name = "torch-interpol" },
@@ -3803,22 +3894,22 @@ wheels = [
 [[package]]
 name = "tbb"
 version = "2022.3.0"
-source = { registry = "https://urob.github.io/numpy-mkl" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "tcmlib" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e3/9e/b7f1f7af53580e4e8cf39cf51b14c8e295d767b3ae9d78b5007d6058cfc8/tbb-2022.3.0-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:a7e122cb98a6f8823940341aa323dcdfffa77e36712a22a1ae3a76430fa9f412" },
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+    { url = "https://files.pythonhosted.org/packages/e3/9e/b7f1f7af53580e4e8cf39cf51b14c8e295d767b3ae9d78b5007d6058cfc8/tbb-2022.3.0-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:a7e122cb98a6f8823940341aa323dcdfffa77e36712a22a1ae3a76430fa9f412", size = 4178631, upload-time = "2025-10-22T18:00:00.181Z" },
+    { url = "https://files.pythonhosted.org/packages/19/e7/8a3ae90c12186033dfd38a7292b2caef3ed10813162ab4713149191d70ef/tbb-2022.3.0-py3-none-win_amd64.whl", hash = "sha256:bb893f5772855ff2fd21867cb5c2806cb7d2960a178e660b342bc6a706a6ebf4", size = 422733, upload-time = "2025-10-22T18:01:20.903Z" },
 ]
 
 [[package]]
 name = "tcmlib"
 version = "1.4.1"
-source = { registry = "https://urob.github.io/numpy-mkl" }
+source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a1/a4/38e8b5a27b66ab286168ba6c449771ed71d71ec76524e7f12401474a5151/tcmlib-1.4.1-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:0d5bd98db48d31bec7fedba5c23599bf9ae43c7016d4c3946d25242d320cee89" },
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+    { url = "https://files.pythonhosted.org/packages/a1/a4/38e8b5a27b66ab286168ba6c449771ed71d71ec76524e7f12401474a5151/tcmlib-1.4.1-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:0d5bd98db48d31bec7fedba5c23599bf9ae43c7016d4c3946d25242d320cee89", size = 2731276, upload-time = "2025-10-22T17:57:02.392Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/4d/2b1d55dba475f602197e284b9a5e5460139a9c5ef2bfb63c8d2a1fafc163/tcmlib-1.4.1-py2.py3-none-win_amd64.whl", hash = "sha256:5202a1fd8541182fbd4ef72848784e4bf94340152d7ddff33d401d30930fa53c", size = 370347, upload-time = "2025-10-22T18:00:36.37Z" },
 ]
 
 [[package]]
@@ -4053,13 +4144,13 @@ wheels = [
 [[package]]
 name = "umf"
 version = "1.0.2"
-source = { registry = "https://urob.github.io/numpy-mkl" }
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "tcmlib" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/27/8e/4a90b6aa955268988e7491f502b7ac2bd65cb954b4979bfcc892cf019b50/umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:ef4d144a2007a73a1a22ee575ee4f5a1894a206532c6f6d77b4cf548643502fb" },
-    { url = "https://files.pythonhosted.org/packages/4c/8c/dfbcedb97b56b2e87a9fe61e43e70b09abb439ed90e06e08d4365fc60c5f/umf-1.0.2-py2.py3-none-win_amd64.whl", hash = "sha256:695b6be076a7bd2037b0cdbe5ee025f9ae74934cc78bdf25df8b52e8f746e457" },
+    { url = "https://files.pythonhosted.org/packages/27/8e/4a90b6aa955268988e7491f502b7ac2bd65cb954b4979bfcc892cf019b50/umf-1.0.2-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:ef4d144a2007a73a1a22ee575ee4f5a1894a206532c6f6d77b4cf548643502fb", size = 359878, upload-time = "2025-10-22T17:58:50.929Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/8c/dfbcedb97b56b2e87a9fe61e43e70b09abb439ed90e06e08d4365fc60c5f/umf-1.0.2-py2.py3-none-win_amd64.whl", hash = "sha256:695b6be076a7bd2037b0cdbe5ee025f9ae74934cc78bdf25df8b52e8f746e457", size = 249097, upload-time = "2025-10-22T17:57:00.279Z" },
 ]
 
 [[package]]

From bf3e822d710e028831db26168bd5de1b84366e7d Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Wed, 17 Dec 2025 06:03:21 +0000
Subject: [PATCH 02/11] no need to run many tasks

---
 .github/workflows/main.yaml | 28 +---------------------------
 1 file changed, 1 insertion(+), 27 deletions(-)

diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index 7d02e93..a05c3c4 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -28,38 +28,12 @@ jobs:
     secrets: inherit
     with:
       sha: ${{ inputs.sha || github.sha }}
-  build-wheels:
-    uses: ./.github/workflows/build-wheels.yaml
-    secrets: inherit
-    with:
-      sha: ${{ inputs.sha || github.sha }}
-  build-containers:
-    uses: ./.github/workflows/build-containers.yaml
-    secrets: inherit
-    with:
-      sha: ${{ inputs.sha || github.sha }}
   build-docs:
     uses: ./.github/workflows/build-docs.yaml
     secrets: inherit
     with:
       sha: ${{ inputs.sha || github.sha }}
-  codeql:
-    uses: ./.github/workflows/codeql.yaml
-    secrets: inherit
-    with:
-      sha: ${{ inputs.sha || github.sha }}
   auto-merge:
     if: github.event_name == 'pull_request'
     uses: ./.github/workflows/auto-merge.yaml
-    secrets: inherit
-  release:
-    uses: ./.github/workflows/release.yaml
-    secrets: inherit
-    needs:
-      - build-containers
-      - build-docs
-      - build-wheels
-      - checks
-      - codeql
-    with:
-      publish-docs: ${{ github.ref_name == 'main' }}
+    secrets: inherit
\ No newline at end of file

From 1ea849700f60e2993e0991684dcc40efbc103757 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Wed, 17 Dec 2025 06:12:30 +0000
Subject: [PATCH 03/11] update docs/index.md

---
 docs/index.md | 35 ++++++++++++++++++++++-------------
 1 file changed, 22 insertions(+), 13 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index d8e45ee..6aa1d3c 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -23,30 +23,39 @@ This repository contains the Pytorch code in our paper [SNRAware: Improved Deep
 
 ## Get started
 
-[just](https://github.com/casey/just) is used in this project. If not, please install this tool:
+[just](https://github.com/casey/just), [uv]() and [gif-lfs]() are used in this project. If not, please install this tool:
 
 ```bash
 # install just
-wget -qO - 'https://proget.makedeb.org/debian-feeds/prebuilt-mpr.pub' | gpg --dearmor | sudo tee /usr/share/keyrings/prebuilt-mpr-archive-keyring.gpg 1> /dev/null
-echo "deb [arch=all,$(dpkg --print-architecture) signed-by=/usr/share/keyrings/prebuilt-mpr-archive-keyring.gpg] https://proget.makedeb.org prebuilt-mpr $(lsb_release -cs)" | sudo tee /etc/apt/sources.list.d/prebuilt-mpr.list
+curl -fsSL https://just.systems/install.sh | sudo bash -s -- --to /usr/local/bin
+
+# install uv
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# install git-lfs
 sudo apt update
-sudo apt install just -y
+sudo apt install git-lfs
 ```
 
-Then, please set up the virtual environment and run tests:
+Make sure commands `just`, `us` are on your path.
+
+Also, this project requires NVIDIA GPU. To check whether your GPU is available and is working:
 
 ```bash
-# show the list
-just --list
+nvidia-smi
+```
+
+Then, please set up the virtual environment and run tests:
 
-# set up virtual environment
-just setup-env
+```bash
+# set up env
+uv sync
 
-# review documentation
-just serve-docs
+# pull down test data
+git lfs pull
 
-# run test
-just test
+# run the test
+uv run pytest -m gpu ./test
 ```
 
 ## Data

From 9a015e888688dc539852d982bd739452661fd9f8 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 04:53:02 +0000
Subject: [PATCH 04/11] add test phantom data

---
 docs/index.md                    | 26 +++++++++++++++++++++++++-
 docs/mri_denoising.md            | 12 +-----------
 test/data/phantom/gmap.npy       |  3 +++
 test/data/phantom/input_imag.npy |  3 +++
 test/data/phantom/input_real.npy |  3 +++
 5 files changed, 35 insertions(+), 12 deletions(-)
 create mode 100644 test/data/phantom/gmap.npy
 create mode 100644 test/data/phantom/input_imag.npy
 create mode 100644 test/data/phantom/input_real.npy

diff --git a/docs/index.md b/docs/index.md
index 6aa1d3c..3028ab0 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -44,6 +44,7 @@ Also, this project requires NVIDIA GPU. To check whether your GPU is available a
 ```bash
 nvidia-smi
 ```
+If the GPU is working correctly, this command will display detailed information, including driver version, GPU usage, memory usage, and temperature.
 
 Then, please set up the virtual environment and run tests:
 
@@ -58,7 +59,8 @@ git lfs pull
 uv run pytest -m gpu ./test
 ```
 
-## Data
+## Training data
+
 Dataset for MR denoising training is not opened at this moment.
 
 ## Model
@@ -68,6 +70,28 @@ Three models are released at https://huggingface.co/microsoft/SNRAware
 - SNRAware-medium: 55.1million parameters
 - SNRAware-large: 109million parameters
 
+To test the model, 
+```bash
+# download the model from the huggingface
+# small model
+wget https://huggingface.co/microsoft/SNRAware/blob/main/small/snraware_small_model.pts
+wget https://huggingface.co/microsoft/SNRAware/blob/main/small/snraware_small_model.yaml
+
+# a test data is provided at ./test/data/inference
+# input data are [H, W, Frame] 3D complex tensor, input_real.npy and input_imag.npy store the 
+# real and imaginary part
+# gmap.npy is the g-factor map for all frames or for every frame, [H, W, 1 or Frame]
+
+# let's use the small model to run a inference
+export model_file=snraware_small_model.pts
+export config_file=snraware_small_model.yaml
+
+# run the inference
+uv run python3 ./src/snraware/projects/mri/denoising/run_inference.py --input_dir ./test/data/phantom --output_dir /tmp/phantom_res_inference --saved_model_path $model_file --saved_config_path $config_file --batch_size 1 --input_fname input --gmap_fname gmap
+```
+
+After the run, the result is saved in the `/tmp/phantom_res_inference` as numpy file. 
+
 ## Direct intended uses
 SNRAware is shared for research and technical development purposes only, to denoise MR images.
 
diff --git a/docs/mri_denoising.md b/docs/mri_denoising.md
index 7269fcb..ce69a8a 100644
--- a/docs/mri_denoising.md
+++ b/docs/mri_denoising.md
@@ -45,14 +45,4 @@ User needs to log into the wandb as `wandb login`. Training and validation sampl
 
 # Run inference
 
-After training the model, user can run inference with `run_inference.py` in the `src/snraware/projects/mri/denoising` folder:
-
-```bash
-export model_file="SNRAware-small.pts"
-export config_file="SNRAware-small_config.yaml"
-export res_dir="res"
-export data_dir="/data"
-
-python3 ./src/snraware/projects/mri/denoising/run_inference.py --input_dir ${data_dir} --output_dir ${data_dir}/${res_dir} --saved_model_path $model_file --saved_config_path $config_file --batch_size 1 --input_fname input --gmap_fname gmap
-
-```
\ No newline at end of file
+After training the model, user can run inference with `run_inference.py` in the `src/snraware/projects/mri/denoising` folder. Examples to run the model inference is given in the [README](../README.md).
\ No newline at end of file
diff --git a/test/data/phantom/gmap.npy b/test/data/phantom/gmap.npy
new file mode 100644
index 0000000..04041fe
--- /dev/null
+++ b/test/data/phantom/gmap.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d18c5ac43714b669a4e19bdef2ef2a07ba91f60b1cb13d908597064d137b2319
+size 138320
diff --git a/test/data/phantom/input_imag.npy b/test/data/phantom/input_imag.npy
new file mode 100644
index 0000000..8619529
--- /dev/null
+++ b/test/data/phantom/input_imag.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a23af0017fa255c780bec9a8f5858035b79f0c3e02b35c93214c43a91cafec6a
+size 17694800
diff --git a/test/data/phantom/input_real.npy b/test/data/phantom/input_real.npy
new file mode 100644
index 0000000..f92620e
--- /dev/null
+++ b/test/data/phantom/input_real.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b6c50d9d060c3435923736eed21f7629aa3f643282a4e473c9b2b5bf410c676
+size 17694800

From 6d238fc35631967feef874fb4876ebde52cc7024 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 05:00:41 +0000
Subject: [PATCH 05/11] update python version to <=3.14

---
 pyproject.toml |  2 +-
 uv.lock        | 14 +++++++-------
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 5eecb9d..2ae7b86 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,7 +3,7 @@ name = "snraware"
 description = "A deep learning imaging AI framework"
 version = "0.1.0"
 readme = "README.md"
-requires-python = ">=3.12,<4.0"
+requires-python = ">=3.12,<=3.14"
 authors = [
     {name = "Hui Xue", email = "xueh@microsoft.com"},
 ]
diff --git a/uv.lock b/uv.lock
index c7dbed0..83b016b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,6 @@
 version = 1
 revision = 3
-requires-python = ">=3.12, <4.0"
+requires-python = ">=3.12, <=3.14"
 resolution-markers = [
     "sys_platform == 'darwin'",
     "platform_machine == 'aarch64' and sys_platform == 'linux'",
@@ -2355,7 +2355,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.10.2.21"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" },
@@ -2366,7 +2366,7 @@ name = "nvidia-cufft-cu12"
 version = "11.3.3.83"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" },
@@ -2393,9 +2393,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.7.3.90"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
-    { name = "nvidia-cusparse-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" },
@@ -2406,7 +2406,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.5.8.93"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine != 'aarch64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" },

From 1ec15c35c9e355d0c03af0da2ed0f66fbdc0bdc1 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 05:18:08 +0000
Subject: [PATCH 06/11] fix typo

---
 docs/index.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index 3028ab0..9872ee8 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -37,7 +37,7 @@ sudo apt update
 sudo apt install git-lfs
 ```
 
-Make sure commands `just`, `us` are on your path.
+Make sure commands `just` and `uv` are on your path.
 
 Also, this project requires NVIDIA GPU. To check whether your GPU is available and is working:
 
@@ -61,7 +61,7 @@ uv run pytest -m gpu ./test
 
 ## Training data
 
-Dataset for MR denoising training is not opened at this moment.
+Dataset for MR denoising training is not opened at this moment. More information will be provided once training data is released.
 
 ## Model
 Three models are released at https://huggingface.co/microsoft/SNRAware

From ba17315a743af1b8ae585af0436e41284e8b9d60 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 05:30:38 +0000
Subject: [PATCH 07/11] remove just and unused testing files

---
 .github/workflows/build-containers.yaml | 37 ----------------------
 .github/workflows/build-wheels.yaml     | 38 ----------------------
 .github/workflows/codeql.yaml           | 42 -------------------------
 .github/workflows/release.yaml          | 18 -----------
 justfile                                | 29 -----------------
 5 files changed, 164 deletions(-)
 delete mode 100644 .github/workflows/build-containers.yaml
 delete mode 100644 .github/workflows/build-wheels.yaml
 delete mode 100644 .github/workflows/codeql.yaml
 delete mode 100644 .github/workflows/release.yaml
 delete mode 100644 justfile

diff --git a/.github/workflows/build-containers.yaml b/.github/workflows/build-containers.yaml
deleted file mode 100644
index 0ab1c9b..0000000
--- a/.github/workflows/build-containers.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-name: Build Containers
-on:
-  workflow_dispatch:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-  workflow_call:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-jobs:
-  build-containers:
-    runs-on: "ubuntu-24.04"
-    steps:
-      # Checkout the repository code
-      - name: Checkout Code
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ inputs.sha }}
-          fetch-depth: 0
-          fetch-tags: true
-      - uses: ./.github/actions/setup-environment
-        id: runner-context
-      # Build the Docker image
-      - name: Build Docker Image
-        run: |
-          uv version "$PACKAGE_VERSION" --no-sync
-          echo "building image: snraware:${PACKAGE_VERSION}"
-          docker build -f Containerfile -t snraware:${PACKAGE_VERSION} .
-          echo "testing installation in image"
-          docker run snraware:${PACKAGE_VERSION} python -c "import snraware"
-        env:
-          PACKAGE_VERSION: "${{ steps.runner-context.outputs.package-version }}"
diff --git a/.github/workflows/build-wheels.yaml b/.github/workflows/build-wheels.yaml
deleted file mode 100644
index e3d813f..0000000
--- a/.github/workflows/build-wheels.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-name: Build Wheels
-on:
-  workflow_dispatch:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-  workflow_call:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-jobs:
-  build-components:
-    runs-on: "ubuntu-24.04"
-    name: "build-wheels"
-    steps:
-      - uses: actions/checkout@v5
-        with:
-          ref: ${{ inputs.sha }}
-          fetch-depth: 0
-          fetch-tags: true
-      - uses: ./.github/actions/setup-environment
-        id: runner-context
-      - name: build-wheel
-        env:
-          PACKAGE_VERSION: "${{ steps.runner-context.outputs.package-version }}"
-        run: |
-          uv version "$PACKAGE_VERSION"
-          uv sync
-          uv build
-      - name: "upload-artifacts"
-        uses: actions/upload-artifact@v4
-        with:
-          name: "pkg-wheels"
-          path: "dist/*.whl"
diff --git a/.github/workflows/codeql.yaml b/.github/workflows/codeql.yaml
deleted file mode 100644
index bd4d96c..0000000
--- a/.github/workflows/codeql.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-name: "CodeQL"
-on:
-  workflow_dispatch:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-  workflow_call:
-    inputs:
-      sha:
-        description: 'the git sha to checkout'
-        required: true
-        type: string
-jobs:
-  analyze:
-    name: Analyze
-    runs-on: "ubuntu-24.04"
-    permissions:
-      security-events: write
-      actions: read
-      contents: read
-    strategy:
-      fail-fast: false
-      matrix:
-        language: [ "javascript-typescript", "python" ]
-    steps:
-    - uses: actions/checkout@v5
-      with:
-        ref: ${{ inputs.sha }}
-        fetch-depth: 0
-        fetch-tags: true
-    - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
-      with:
-        languages: ${{ matrix.language }}
-    - name: Autobuild
-      uses: github/codeql-action/autobuild@v3
-    - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
-      with:
-        category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
deleted file mode 100644
index d45921a..0000000
--- a/.github/workflows/release.yaml
+++ /dev/null
@@ -1,18 +0,0 @@
-name: Release
-on:
-  workflow_call:
-    inputs:
-      publish-docs:
-        description: 'whether to publish docs to the github pages'
-        required: true
-        type: boolean
-jobs:
-  publish-docs:
-    name: "deploy-docs"
-    runs-on: "ubuntu-latest"
-    if: "${{ inputs.publish-docs }}"
-    timeout-minutes: 10
-    steps:
-      - name: "deploy-gh-pages"
-        id: deployment
-        uses: actions/deploy-pages@v4
diff --git a/justfile b/justfile
deleted file mode 100644
index 9e4f666..0000000
--- a/justfile
+++ /dev/null
@@ -1,29 +0,0 @@
-set shell := ['bash', '-ceuo', 'pipefail']
-
-@default: lint test
-
-@lint:
-    ruff check
-    ruff format --check
-    ruff check
-    pyright
-
-@test:
-    pytest
-
-@fix:
-    ruff check --fix
-    ruff format
-
-@build-package:
-    uv build
-
-@build-docs:
-    mkdocs build
-
-@serve-docs:
-    mkdocs serve
-
-@setup-env:
-    uv sync
-    direnv allow .

From 032406cf066129df8e98e8c456b64997b67f2037 Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 17:44:50 +0000
Subject: [PATCH 08/11] add R4 phantom data

---
 docs/images/image.png            | Bin 0 -> 123953 bytes
 docs/index.md                    |  19 ++++++++++---------
 test/data/phantom/gmap.npy       |   2 +-
 test/data/phantom/input_imag.npy |   2 +-
 test/data/phantom/input_real.npy |   2 +-
 5 files changed, 13 insertions(+), 12 deletions(-)
 create mode 100644 docs/images/image.png

diff --git a/docs/images/image.png b/docs/images/image.png
new file mode 100644
index 0000000000000000000000000000000000000000..12fcaa490dc5456f1a4b75d1eac8a99439dd99cf
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diff --git a/docs/index.md b/docs/index.md
index 9872ee8..c5a5be4 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -23,21 +23,18 @@ This repository contains the Pytorch code in our paper [SNRAware: Improved Deep
 
 ## Get started
 
-[just](https://github.com/casey/just), [uv]() and [gif-lfs]() are used in this project. If not, please install this tool:
+`uv` is used in this project. Please install it as:
 
 ```bash
-# install just
-curl -fsSL https://just.systems/install.sh | sudo bash -s -- --to /usr/local/bin
-
 # install uv
 curl -LsSf https://astral.sh/uv/install.sh | sh
 
 # install git-lfs
 sudo apt update
-sudo apt install git-lfs
+sudo apt install git-lfs direnv
 ```
 
-Make sure commands `just` and `uv` are on your path.
+Make sure commands `uv` are on your path.
 
 Also, this project requires NVIDIA GPU. To check whether your GPU is available and is working:
 
@@ -74,8 +71,8 @@ To test the model,
 ```bash
 # download the model from the huggingface
 # small model
-wget https://huggingface.co/microsoft/SNRAware/blob/main/small/snraware_small_model.pts
-wget https://huggingface.co/microsoft/SNRAware/blob/main/small/snraware_small_model.yaml
+wget https://huggingface.co/microsoft/SNRAware/resolve/main/small/snraware_small_model.pts
+wget https://huggingface.co/microsoft/SNRAware/resolve/main/small/snraware_small_model.yaml
 
 # a test data is provided at ./test/data/inference
 # input data are [H, W, Frame] 3D complex tensor, input_real.npy and input_imag.npy store the 
@@ -90,7 +87,11 @@ export config_file=snraware_small_model.yaml
 uv run python3 ./src/snraware/projects/mri/denoising/run_inference.py --input_dir ./test/data/phantom --output_dir /tmp/phantom_res_inference --saved_model_path $model_file --saved_config_path $config_file --batch_size 1 --input_fname input --gmap_fname gmap
 ```
 
-After the run, the result is saved in the `/tmp/phantom_res_inference` as numpy file. 
+After the run, the result is saved in the `/tmp/phantom_res_inference` as numpy files. 
+
+![alt text](./docs/images/image.png)
+
+raw, model output, difference
 
 ## Direct intended uses
 SNRAware is shared for research and technical development purposes only, to denoise MR images.
diff --git a/test/data/phantom/gmap.npy b/test/data/phantom/gmap.npy
index 04041fe..3ef8026 100644
--- a/test/data/phantom/gmap.npy
+++ b/test/data/phantom/gmap.npy
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d18c5ac43714b669a4e19bdef2ef2a07ba91f60b1cb13d908597064d137b2319
+oid sha256:d5d05b086b9d30a19c4a6224be8018730dafb39fb48258f1b099e7ca119e24fb
 size 138320
diff --git a/test/data/phantom/input_imag.npy b/test/data/phantom/input_imag.npy
index 8619529..39cb532 100644
--- a/test/data/phantom/input_imag.npy
+++ b/test/data/phantom/input_imag.npy
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a23af0017fa255c780bec9a8f5858035b79f0c3e02b35c93214c43a91cafec6a
+oid sha256:5001992c3d05c8c1de2e5860a31bd071af045440153316f7a0d23d97b9ec44d4
 size 17694800
diff --git a/test/data/phantom/input_real.npy b/test/data/phantom/input_real.npy
index f92620e..e7bf7ce 100644
--- a/test/data/phantom/input_real.npy
+++ b/test/data/phantom/input_real.npy
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0b6c50d9d060c3435923736eed21f7629aa3f643282a4e473c9b2b5bf410c676
+oid sha256:04daf8e69cce5c2039b207eb2266f263f451aafbb9f389359caba9729b17d718
 size 17694800

From eb5c200652aa769dde129f15ee0e8c6d1400f80e Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 18:36:31 +0000
Subject: [PATCH 09/11] add back codeql and release; add check for gpus

---
 .github/workflows/codeql.yaml                 | 42 +++++++++++++++++++
 .github/workflows/main.yaml                   | 16 ++++++-
 .github/workflows/release.yaml                | 18 ++++++++
 docs/index.md                                 |  9 +++-
 test/components/test_backbone_hrnet.py        |  3 ++
 test/components/test_backbone_soanet.py       |  4 +-
 test/components/test_backbone_unet.py         |  2 +
 test/components/test_block.py                 |  3 ++
 test/components/test_cell.py                  |  3 ++
 test/components/test_convolution_module.py    |  2 +
 test/components/test_global_3d_attention.py   |  7 +++-
 test/components/test_local_3d_attention.py    |  7 +++-
 .../test_spatial_global_attention.py          |  6 ++-
 .../test_spatial_local_attention.py           |  5 ++-
 test/components/test_spatial_vit_attention.py |  6 +--
 test/components/test_swin_3d_attention.py     |  6 ++-
 test/components/test_temporal_attention.py    |  5 ++-
 test/components/test_vit_3d_attention.py      |  6 +--
 ...ut_conv_False_False_False_False_[1, 1].npy |  2 +-
 ...out_conv_False_False_False_True_[1, 1].npy |  2 +-
 ...out_conv_False_False_True_False_[1, 1].npy |  2 +-
 ..._out_conv_False_False_True_True_[1, 1].npy |  2 +-
 ...out_conv_False_True_False_False_[1, 1].npy |  2 +-
 ..._out_conv_False_True_False_True_[1, 1].npy |  2 +-
 ..._out_conv_False_True_True_False_[1, 1].npy |  2 +-
 ...t_out_conv_False_True_True_True_[1, 1].npy |  2 +-
 ...out_conv_True_False_False_False_[1, 1].npy |  2 +-
 ..._out_conv_True_False_False_True_[1, 1].npy |  2 +-
 ..._out_conv_True_False_True_False_[1, 1].npy |  2 +-
 ...t_out_conv_True_False_True_True_[1, 1].npy |  2 +-
 ..._out_conv_True_True_False_False_[1, 1].npy |  2 +-
 ...t_out_conv_True_True_False_True_[1, 1].npy |  2 +-
 ...t_out_conv_True_True_True_False_[1, 1].npy |  2 +-
 ...st_out_conv_True_True_True_True_[1, 1].npy |  2 +-
 ...out_lin_False_False_False_False_[1, 1].npy |  2 +-
 ..._out_lin_False_False_False_True_[1, 1].npy |  2 +-
 ..._out_lin_False_False_True_False_[1, 1].npy |  2 +-
 ...t_out_lin_False_False_True_True_[1, 1].npy |  2 +-
 ..._out_lin_False_True_False_False_[1, 1].npy |  2 +-
 ...t_out_lin_False_True_False_True_[1, 1].npy |  2 +-
 ...t_out_lin_False_True_True_False_[1, 1].npy |  2 +-
 ...st_out_lin_False_True_True_True_[1, 1].npy |  2 +-
 ..._out_lin_True_False_False_False_[1, 1].npy |  2 +-
 ...t_out_lin_True_False_False_True_[1, 1].npy |  2 +-
 ...t_out_lin_True_False_True_False_[1, 1].npy |  2 +-
 ...st_out_lin_True_False_True_True_[1, 1].npy |  2 +-
 ...t_out_lin_True_True_False_False_[1, 1].npy |  2 +-
 ...st_out_lin_True_True_False_True_[1, 1].npy |  2 +-
 ...st_out_lin_True_True_True_False_[1, 1].npy |  2 +-
 ...est_out_lin_True_True_True_True_[1, 1].npy |  2 +-
 test/test_e2e_mri_denoising.py                | 10 ++++-
 test/test_e2e_simple_regression.py            |  5 +++
 52 files changed, 174 insertions(+), 55 deletions(-)
 create mode 100644 .github/workflows/codeql.yaml
 create mode 100644 .github/workflows/release.yaml

diff --git a/.github/workflows/codeql.yaml b/.github/workflows/codeql.yaml
new file mode 100644
index 0000000..310dc7a
--- /dev/null
+++ b/.github/workflows/codeql.yaml
@@ -0,0 +1,42 @@
+name: "CodeQL"
+on:
+  workflow_dispatch:
+    inputs:
+      sha:
+        description: 'the git sha to checkout'
+        required: true
+        type: string
+  workflow_call:
+    inputs:
+      sha:
+        description: 'the git sha to checkout'
+        required: true
+        type: string
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: "ubuntu-24.04"
+    permissions:
+      security-events: write
+      actions: read
+      contents: read
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ "python" ]
+    steps:
+    - uses: actions/checkout@v5
+      with:
+        ref: ${{ inputs.sha }}
+        fetch-depth: 0
+        fetch-tags: true
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v3
+      with:
+        languages: ${{ matrix.language }}
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v3
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v3
+      with:
+        category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index a05c3c4..cdce46e 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -33,7 +33,21 @@ jobs:
     secrets: inherit
     with:
       sha: ${{ inputs.sha || github.sha }}
+  codeql:
+    uses: ./.github/workflows/codeql.yaml
+    secrets: inherit
+    with:
+      sha: ${{ inputs.sha || github.sha }}
   auto-merge:
     if: github.event_name == 'pull_request'
     uses: ./.github/workflows/auto-merge.yaml
-    secrets: inherit
\ No newline at end of file
+    secrets: inherit
+  release:
+    uses: ./.github/workflows/release.yaml
+    secrets: inherit
+    needs:
+      - build-docs
+      - checks
+      - codeql
+    with:
+      publish-docs: ${{ github.ref_name == 'main' }}
\ No newline at end of file
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
new file mode 100644
index 0000000..d45921a
--- /dev/null
+++ b/.github/workflows/release.yaml
@@ -0,0 +1,18 @@
+name: Release
+on:
+  workflow_call:
+    inputs:
+      publish-docs:
+        description: 'whether to publish docs to the github pages'
+        required: true
+        type: boolean
+jobs:
+  publish-docs:
+    name: "deploy-docs"
+    runs-on: "ubuntu-latest"
+    if: "${{ inputs.publish-docs }}"
+    timeout-minutes: 10
+    steps:
+      - name: "deploy-gh-pages"
+        id: deployment
+        uses: actions/deploy-pages@v4
diff --git a/docs/index.md b/docs/index.md
index c5a5be4..6402912 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -43,10 +43,15 @@ nvidia-smi
 ```
 If the GPU is working correctly, this command will display detailed information, including driver version, GPU usage, memory usage, and temperature.
 
-Then, please set up the virtual environment and run tests:
+Then, please clone the repo, set up the virtual environment and run tests:
 
 ```bash
+# clone the repo
+git clone git@github.com:microsoft/SNRAware.git
+
 # set up env
+direnv allow
+cd ./SNRAware
 uv sync
 
 # pull down test data
@@ -94,7 +99,7 @@ After the run, the result is saved in the `/tmp/phantom_res_inference` as numpy
 raw, model output, difference
 
 ## Direct intended uses
-SNRAware is shared for research and technical development purposes only, to denoise MR images.
+SNRAware is shared for research and technical development purposes only, to denoisegit  MR images.
 
 ## License and Usage Notices
 The data, code, and model checkpoints described in this repository is provided for research and technical development use
diff --git a/test/components/test_backbone_hrnet.py b/test/components/test_backbone_hrnet.py
index f5813e4..d521404 100644
--- a/test/components/test_backbone_hrnet.py
+++ b/test/components/test_backbone_hrnet.py
@@ -57,6 +57,9 @@ def test(self, backbone):
         with_timer = True
         device = get_device()
 
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         _B, C, T, H, W = 1, 2, 16, 16, 16
         test_in = torch.from_numpy(self.test_in).to(dtype=torch.float32, device=device)
         assert np.linalg.norm(self.test_in - test_in.cpu().numpy()) < 1e-3
diff --git a/test/components/test_backbone_soanet.py b/test/components/test_backbone_soanet.py
index 34690d5..ea085ed 100644
--- a/test/components/test_backbone_soanet.py
+++ b/test/components/test_backbone_soanet.py
@@ -55,7 +55,9 @@ def teardown_class(self):
     def test(self, downsample, backbone):
         with_timer = True
         device = get_device()
-
+        if device != "cuda":
+            pytest.skip("GPU only test")
+                        
         _B, C, T, H, W = 1, 4, 8, 32, 32
         test_in = torch.from_numpy(self.test_in).to(dtype=torch.float32, device=device)
 
diff --git a/test/components/test_backbone_unet.py b/test/components/test_backbone_unet.py
index 60ab945..96d2e7e 100644
--- a/test/components/test_backbone_unet.py
+++ b/test/components/test_backbone_unet.py
@@ -55,6 +55,8 @@ def teardown_class(self):
     def test(self, backbone):
         with_timer = True
         device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         _B, C, T, H, W = 1, 2, 16, 32, 32
         test_in = torch.from_numpy(self.test_in).to(dtype=torch.float32, device=device)
diff --git a/test/components/test_block.py b/test/components/test_block.py
index 085a51a..cfbeeee 100644
--- a/test/components/test_block.py
+++ b/test/components/test_block.py
@@ -72,6 +72,9 @@ def test(self, block_str):
         test_in = torch.rand(B, T, C, H, W)
 
         device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         test_in = test_in.to(device=device, dtype=torch.float32)
         test_in = torch.permute(test_in, [0, 2, 1, 3, 4])
 
diff --git a/test/components/test_cell.py b/test/components/test_cell.py
index 73b2c68..505eaa6 100644
--- a/test/components/test_cell.py
+++ b/test/components/test_cell.py
@@ -31,6 +31,9 @@ def test(self):
         test_in = torch.rand(B, T, C, H, W).to(torch.float32)
 
         device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+        
         test_in = test_in.to(device=device)
 
         att_types = [
diff --git a/test/components/test_convolution_module.py b/test/components/test_convolution_module.py
index d9de796..cef038e 100644
--- a/test/components/test_convolution_module.py
+++ b/test/components/test_convolution_module.py
@@ -39,6 +39,8 @@ def test(self):
 
         with_timer = True
         device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         test_in = torch.rand(B, T, C, H, W, device=device)
         assert np.linalg.norm(self.test_in - test_in.cpu().numpy()) < 1e-3
diff --git a/test/components/test_global_3d_attention.py b/test/components/test_global_3d_attention.py
index 356dd70..d05665d 100644
--- a/test/components/test_global_3d_attention.py
+++ b/test/components/test_global_3d_attention.py
@@ -29,6 +29,11 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
+
+        device = get_device()        
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
 
@@ -72,8 +77,6 @@ def test(self):
 
         with_timer = True
 
-        device = get_device()
-
         B, T, C, H1, W1 = 1, 16, 2, 64, 64
         C_out = 8
         test_in = torch.rand(B, T, C, H1, W1).to(device=device)
diff --git a/test/components/test_local_3d_attention.py b/test/components/test_local_3d_attention.py
index 1c7f005..c9458b7 100644
--- a/test/components/test_local_3d_attention.py
+++ b/test/components/test_local_3d_attention.py
@@ -29,6 +29,11 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
+
+        device = get_device()        
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
 
@@ -72,8 +77,6 @@ def test(self):
 
         with_timer = True
 
-        device = get_device()
-
         B, T, C, H1, W1 = 1, 16, 2, 64, 64
         C_out = 8
         test_in = torch.rand(B, T, C, H1, W1).to(device=device)
diff --git a/test/components/test_spatial_global_attention.py b/test/components/test_spatial_global_attention.py
index d361c33..b819966 100644
--- a/test/components/test_spatial_global_attention.py
+++ b/test/components/test_spatial_global_attention.py
@@ -29,7 +29,10 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-        print("Begin Testing")
+
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
@@ -102,7 +105,6 @@ def test(self):
         stride_qks = [[1, 1]]
 
         with_timer = True
-        device = get_device()
 
         B, C, T, H1, W1 = 1, 2, 16, 64, 64
         C_out = 4
diff --git a/test/components/test_spatial_local_attention.py b/test/components/test_spatial_local_attention.py
index 4912c4f..67d4632 100644
--- a/test/components/test_spatial_local_attention.py
+++ b/test/components/test_spatial_local_attention.py
@@ -26,7 +26,9 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-        print("Begin Testing")
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
@@ -102,7 +104,6 @@ def test(self):
         stride_qks = [[1, 1], [2, 2]]
 
         with_timer = True
-        device = get_device()
 
         B, T, C, H1, W1 = 1, 4, 2, 64, 64
         C_out = 16
diff --git a/test/components/test_spatial_vit_attention.py b/test/components/test_spatial_vit_attention.py
index 5f07850..69d6769 100644
--- a/test/components/test_spatial_vit_attention.py
+++ b/test/components/test_spatial_vit_attention.py
@@ -29,7 +29,9 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-        print("Begin Testing")
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
@@ -75,8 +77,6 @@ def test(self):
 
         with_timer = True
 
-        device = get_device()
-
         B, T, C, H1, W1 = 1, 16, 2, 32, 32
         C_out = 8
         test_in = torch.rand(B, T, C, H1, W1).to(device=device)
diff --git a/test/components/test_swin_3d_attention.py b/test/components/test_swin_3d_attention.py
index 7591ca5..ea60cac 100644
--- a/test/components/test_swin_3d_attention.py
+++ b/test/components/test_swin_3d_attention.py
@@ -30,6 +30,10 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
 
@@ -71,8 +75,6 @@ def test(self):
 
         with_timer = True
 
-        device = get_device()
-
         B, T, C, H1, W1 = 1, 16, 2, 32, 32
         C_out = 32
         test_in = torch.rand(B, T, C, H1, W1).to(device=device)
diff --git a/test/components/test_temporal_attention.py b/test/components/test_temporal_attention.py
index 33bb9d9..6cec977 100644
--- a/test/components/test_temporal_attention.py
+++ b/test/components/test_temporal_attention.py
@@ -28,13 +28,14 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-        print("Begin Testing")
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         B, T, C, H, W = 2, 16, 3, 16, 16
         C_out = 32
 
         with_timer = True
-        device = get_device()
 
         test_in = torch.rand(B, T, C, H, W, device=device)
         assert np.linalg.norm(self.test_in - test_in.cpu().numpy()) < 1e-3
diff --git a/test/components/test_vit_3d_attention.py b/test/components/test_vit_3d_attention.py
index d3141d6..58c1ca1 100644
--- a/test/components/test_vit_3d_attention.py
+++ b/test/components/test_vit_3d_attention.py
@@ -29,7 +29,9 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test_Vit3D(self):
-        print("Begin Testing")
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
 
         t = np.arange(256)
         t = np.reshape(t, (16, 16))
@@ -76,8 +78,6 @@ def test_Vit3D(self):
 
         with_timer = True
 
-        device = get_device()
-
         B, T, C, H1, W1 = 1, 16, 2, 32, 32
         C_out = 8
         test_in = torch.rand(B, T, C, H1, W1).to(device=device)
diff --git a/test/data/spatial_global/test_out_conv_False_False_False_False_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_False_False_False_[1, 1].npy
index 3b3817c..407d2cd 100644
--- a/test/data/spatial_global/test_out_conv_False_False_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_False_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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-oid sha256:413115d899b8e1364df8cc02cf1369fbd9ab9c7fdbd0dcc2146f9fecb62109a2
+oid sha256:758727abd313808e33267c84eb7fa720bdf0ebfe01ce33d7151acc58b3ad2ad4
 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_False_False_True_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_False_False_True_[1, 1].npy
index 298ed80..2841ba7 100644
--- a/test/data/spatial_global/test_out_conv_False_False_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_False_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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+oid sha256:72109d0355c6b13a9a34f1aa20fc12639ae0314d02867543e3ca844198ea27c7
 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_False_True_False_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_False_True_False_[1, 1].npy
index e07dc8c..2a96b0f 100644
--- a/test/data/spatial_global/test_out_conv_False_False_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_False_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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+oid sha256:a1d4ffeeeaf652c270b761fd3044491e63ab85b125d3acea4c482bc4f8c4e5fa
 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_False_True_True_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_False_True_True_[1, 1].npy
index b4cd2db..b77d648 100644
--- a/test/data/spatial_global/test_out_conv_False_False_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_False_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_True_False_False_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_True_False_False_[1, 1].npy
index 4c528ad..ac2f6cd 100644
--- a/test/data/spatial_global/test_out_conv_False_True_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_True_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_True_False_True_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_True_False_True_[1, 1].npy
index 79eca6f..0dc4834 100644
--- a/test/data/spatial_global/test_out_conv_False_True_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_True_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_False_True_True_False_[1, 1].npy b/test/data/spatial_global/test_out_conv_False_True_True_False_[1, 1].npy
index d770522..1036b28 100644
--- a/test/data/spatial_global/test_out_conv_False_True_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_True_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index 4041dc1..75006ba 100644
--- a/test/data/spatial_global/test_out_conv_False_True_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_False_True_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
diff --git a/test/data/spatial_global/test_out_conv_True_False_False_False_[1, 1].npy b/test/data/spatial_global/test_out_conv_True_False_False_False_[1, 1].npy
index f24774e..2c1558a 100644
--- a/test/data/spatial_global/test_out_conv_True_False_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_False_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index 5400729..9adc5b2 100644
--- a/test/data/spatial_global/test_out_conv_True_False_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_False_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index 3781d75..5c00698 100644
--- a/test/data/spatial_global/test_out_conv_True_False_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_False_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 4e4180c..d73cc3f 100644
--- a/test/data/spatial_global/test_out_conv_True_False_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_False_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 6cce159..a5238c0 100644
--- a/test/data/spatial_global/test_out_conv_True_True_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_True_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 4955abd..274d055 100644
--- a/test/data/spatial_global/test_out_conv_True_True_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_True_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index cce94d7..142bef7 100644
--- a/test/data/spatial_global/test_out_conv_True_True_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_True_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index f6741f5..9e38fee 100644
--- a/test/data/spatial_global/test_out_conv_True_True_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_conv_True_True_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 491767b..2dff820 100644
--- a/test/data/spatial_global/test_out_lin_False_False_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_False_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index ba5bc42..06ab95d 100644
--- a/test/data/spatial_global/test_out_lin_False_False_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_False_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index 0735912..b1cba1a 100644
--- a/test/data/spatial_global/test_out_lin_False_False_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_False_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index e51ff93..f906cba 100644
--- a/test/data/spatial_global/test_out_lin_False_False_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_False_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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 size 1048704
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index 0c06d06..4cfd5b9 100644
--- a/test/data/spatial_global/test_out_lin_False_True_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_True_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 13196fa..23b99ab 100644
--- a/test/data/spatial_global/test_out_lin_False_True_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_True_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 6a50900..bfa0274 100644
--- a/test/data/spatial_global/test_out_lin_False_True_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_True_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index b6ff268..5c8be35 100644
--- a/test/data/spatial_global/test_out_lin_False_True_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_False_True_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 3340d62..c1415aa 100644
--- a/test/data/spatial_global/test_out_lin_True_False_False_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_False_False_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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diff --git a/test/data/spatial_global/test_out_lin_True_False_False_True_[1, 1].npy b/test/data/spatial_global/test_out_lin_True_False_False_True_[1, 1].npy
index 036b9ad..389ac89 100644
--- a/test/data/spatial_global/test_out_lin_True_False_False_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_False_False_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 238b719..97f5441 100644
--- a/test/data/spatial_global/test_out_lin_True_False_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_False_True_False_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 796a116..cf21def 100644
--- a/test/data/spatial_global/test_out_lin_True_False_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_False_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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index 7e7aac8..3a268fc 100644
--- a/test/data/spatial_global/test_out_lin_True_True_False_False_[1, 1].npy	
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@@ -1,3 +1,3 @@
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index 7ab744d..df1da86 100644
--- a/test/data/spatial_global/test_out_lin_True_True_False_True_[1, 1].npy	
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index 5675a35..204ff54 100644
--- a/test/data/spatial_global/test_out_lin_True_True_True_False_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_True_True_False_[1, 1].npy	
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diff --git a/test/data/spatial_global/test_out_lin_True_True_True_True_[1, 1].npy b/test/data/spatial_global/test_out_lin_True_True_True_True_[1, 1].npy
index 3a31f3b..423841d 100644
--- a/test/data/spatial_global/test_out_lin_True_True_True_True_[1, 1].npy	
+++ b/test/data/spatial_global/test_out_lin_True_True_True_True_[1, 1].npy	
@@ -1,3 +1,3 @@
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diff --git a/test/test_e2e_mri_denoising.py b/test/test_e2e_mri_denoising.py
index 87e629f..1b24919 100644
--- a/test/test_e2e_mri_denoising.py
+++ b/test/test_e2e_mri_denoising.py
@@ -7,7 +7,7 @@
 import torch
 from hydra import compose, initialize
 
-from snraware.components.setup import end_timer, start_timer
+from snraware.components.setup import end_timer, start_timer, get_device
 from snraware.projects.mri.denoising.inference_model import (
     load_lit_model,
     load_model,
@@ -126,6 +126,10 @@ def test_training(self, request):
         if "gpu" not in selected_markers or "slow" not in selected_markers:
             pytest.skip("Skipping because both markers 'gpu' and 'slow' are not set")
 
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         with initialize(
             version_base=None, config_path="../src/snraware/projects/mri/denoising/configs"
         ):
@@ -167,6 +171,10 @@ def test_training_single_epoch(self, request):
         if os.path.exists(self.data_root) is False or os.path.exists(self.test_root) is False:
             pytest.skip("Skipping because test data not found")
 
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         with initialize(
             version_base=None, config_path="../src/snraware/projects/mri/denoising/configs"
         ):
diff --git a/test/test_e2e_simple_regression.py b/test/test_e2e_simple_regression.py
index c79325d..91e27f2 100644
--- a/test/test_e2e_simple_regression.py
+++ b/test/test_e2e_simple_regression.py
@@ -8,6 +8,7 @@
 from lightning.pytorch.callbacks import ModelCheckpoint, ModelSummary, TQDMProgressBar
 from omegaconf import OmegaConf
 
+from snraware.components.setup import get_device
 from snraware.components.heads import PreConv2D, SimpleConv2d
 from snraware.components.model import HRnet, SOAnet, Unet
 from snraware.components.optim import OptimScheduler
@@ -217,6 +218,10 @@ def test_trainer(self, backbone, request):
         if "gpu" not in selected_markers:
             pytest.skip("Skipping because marker 'gpu' is not set")
 
+        device = get_device()
+        if device != "cuda":
+            pytest.skip("GPU only test")
+
         overrides = [
             f"backbone={backbone}",
             "backbone.block.cell.window_size=[4,4,1]",

From b078fb11a5d8cd5a3e032eea7ce44082670df28c Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 19:30:36 +0000
Subject: [PATCH 10/11] fix ruff

---
 test/components/test_backbone_soanet.py          | 2 +-
 test/components/test_cell.py                     | 2 +-
 test/components/test_global_3d_attention.py      | 3 +--
 test/components/test_local_3d_attention.py       | 3 +--
 test/components/test_spatial_global_attention.py | 3 +--
 test/test_e2e_mri_denoising.py                   | 2 +-
 test/test_e2e_simple_regression.py               | 2 +-
 7 files changed, 7 insertions(+), 10 deletions(-)

diff --git a/test/components/test_backbone_soanet.py b/test/components/test_backbone_soanet.py
index ea085ed..4fae7fb 100644
--- a/test/components/test_backbone_soanet.py
+++ b/test/components/test_backbone_soanet.py
@@ -57,7 +57,7 @@ def test(self, downsample, backbone):
         device = get_device()
         if device != "cuda":
             pytest.skip("GPU only test")
-                        
+
         _B, C, T, H, W = 1, 4, 8, 32, 32
         test_in = torch.from_numpy(self.test_in).to(dtype=torch.float32, device=device)
 
diff --git a/test/components/test_cell.py b/test/components/test_cell.py
index 505eaa6..f725365 100644
--- a/test/components/test_cell.py
+++ b/test/components/test_cell.py
@@ -33,7 +33,7 @@ def test(self):
         device = get_device()
         if device != "cuda":
             pytest.skip("GPU only test")
-        
+
         test_in = test_in.to(device=device)
 
         att_types = [
diff --git a/test/components/test_global_3d_attention.py b/test/components/test_global_3d_attention.py
index d05665d..70133bd 100644
--- a/test/components/test_global_3d_attention.py
+++ b/test/components/test_global_3d_attention.py
@@ -29,8 +29,7 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-
-        device = get_device()        
+        device = get_device()
         if device != "cuda":
             pytest.skip("GPU only test")
 
diff --git a/test/components/test_local_3d_attention.py b/test/components/test_local_3d_attention.py
index c9458b7..a92756b 100644
--- a/test/components/test_local_3d_attention.py
+++ b/test/components/test_local_3d_attention.py
@@ -29,8 +29,7 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-
-        device = get_device()        
+        device = get_device()
         if device != "cuda":
             pytest.skip("GPU only test")
 
diff --git a/test/components/test_spatial_global_attention.py b/test/components/test_spatial_global_attention.py
index b819966..d4f12bf 100644
--- a/test/components/test_spatial_global_attention.py
+++ b/test/components/test_spatial_global_attention.py
@@ -29,7 +29,6 @@ def teardown_class(self):
 
     @pytest.mark.gpu
     def test(self):
-
         device = get_device()
         if device != "cuda":
             pytest.skip("GPU only test")
@@ -146,7 +145,7 @@ def test(self):
 
                                 fname = f"{attention_type}_{normalize_Q_K}_{att_with_output_proj}_{cosine_att}_{att_with_relative_position_bias}_{stride_qk}"
                                 gt_fname = os.path.join(self.data_root, f"test_out_{fname}.npy")
-                                np.save(gt_fname, test_out.detach().cpu().numpy())
+                                # np.save(gt_fname, test_out.detach().cpu().numpy())
                                 assert os.path.exists(gt_fname)
                                 test_out_gt = np.load(
                                     os.path.join(self.data_root, f"test_out_{fname}.npy")
diff --git a/test/test_e2e_mri_denoising.py b/test/test_e2e_mri_denoising.py
index 1b24919..6af39b5 100644
--- a/test/test_e2e_mri_denoising.py
+++ b/test/test_e2e_mri_denoising.py
@@ -7,7 +7,7 @@
 import torch
 from hydra import compose, initialize
 
-from snraware.components.setup import end_timer, start_timer, get_device
+from snraware.components.setup import end_timer, get_device, start_timer
 from snraware.projects.mri.denoising.inference_model import (
     load_lit_model,
     load_model,
diff --git a/test/test_e2e_simple_regression.py b/test/test_e2e_simple_regression.py
index 91e27f2..50b784c 100644
--- a/test/test_e2e_simple_regression.py
+++ b/test/test_e2e_simple_regression.py
@@ -8,10 +8,10 @@
 from lightning.pytorch.callbacks import ModelCheckpoint, ModelSummary, TQDMProgressBar
 from omegaconf import OmegaConf
 
-from snraware.components.setup import get_device
 from snraware.components.heads import PreConv2D, SimpleConv2d
 from snraware.components.model import HRnet, SOAnet, Unet
 from snraware.components.optim import OptimScheduler
+from snraware.components.setup import get_device
 
 # -----------------------------------------------------------------
 

From ef8f713c84438acdfb0261995fc846e1c0634f9a Mon Sep 17 00:00:00 2001
From: Hui Xue <xueh@microsoft.com>
Date: Fri, 19 Dec 2025 20:42:47 +0000
Subject: [PATCH 11/11] fix the typo

---
 docs/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/index.md b/docs/index.md
index 6402912..ed36bcd 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -43,7 +43,7 @@ nvidia-smi
 ```
 If the GPU is working correctly, this command will display detailed information, including driver version, GPU usage, memory usage, and temperature.
 
-Then, please clone the repo, set up the virtual environment and run tests:
+Make sure the command `uv` are on your path. Then please clone the repo, set up the virtual environment and run tests:
 
 ```bash
 # clone the repo