diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml
index d1f0725..1343810 100644
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -26,7 +26,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
           cache: poetry
       - name: Install dependencies
-        run: poetry install
+        run: poetry install -E cpu --with cpu
       - name: Lint
         run: poetry run ruff check .
       - name: Type check
diff --git a/poetry.lock b/poetry.lock
index 10ebed9..92c80e2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -147,63 +147,63 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.5.3"
+version = "7.5.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -225,13 +225,13 @@ six = ">=1.4.0"
 
 [[package]]
 name = "filelock"
-version = "3.15.3"
+version = "3.15.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -811,7 +811,7 @@ files = [
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 version = "10.3.0"
 description = "Python Imaging Library (Fork)"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -1397,6 +1397,92 @@ typing-extensions = ">=4.8.0"
 opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.9.1)"]
 
+[[package]]
+name = "torch"
+version = "2.3.1+cpu"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = false
+python-versions = ">=3.8.0"
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+jinja2 = "*"
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+networkx = "*"
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+
+[package.extras]
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+reference = "pytorch-cpu"
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+[[package]]
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+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = false
+python-versions = ">=3.8.0"
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+fsspec = "*"
+jinja2 = "*"
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+networkx = "*"
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+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+sympy = "*"
+triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
+
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cu121"
+reference = "pytorch-cu121"
+
 [[package]]
 name = "torchmetrics"
 version = "1.4.0.post0"
@@ -1428,31 +1514,21 @@ visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.3.0)"]
 
 [[package]]
 name = "torchvision"
-version = "0.18.1"
+version = "0.18.1+cpu"
 description = "image and video datasets and models for torch deep learning"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1463,6 +1539,43 @@ torch = "2.3.1"
 [package.extras]
 scipy = ["scipy"]
 
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cpu"
+reference = "pytorch-cpu"
+
+[[package]]
+name = "torchvision"
+version = "0.18.1+cu121"
+description = "image and video datasets and models for torch deep learning"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "torchvision-0.18.1+cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:ce8d5b992056f0640a39ef5734342e43ca4a801547de27fb8dbc3055d9345947"},
+    {file = "torchvision-0.18.1+cu121-cp312-cp312-win_amd64.whl", hash = "sha256:4ef51349a1be161a60a8ad7e6f575917b13628e8255353f79c6a2c4d1432040f"},
+    {file = "torchvision-0.18.1+cu121-cp38-cp38-linux_x86_64.whl", hash = "sha256:aee8961dcb8a418e92d06d4b3e9af52987293a48c14231c3c50c8eea3741e412"},
+    {file = "torchvision-0.18.1+cu121-cp38-cp38-win_amd64.whl", hash = "sha256:54b167a0f8c17b568c0d7191aec45f77f6af4d9b0b8549e1857b34babbc5d9a6"},
+    {file = "torchvision-0.18.1+cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:1ebf5dbbdf3af446c84e42baf2edbeb1bd6fb0cc9d3b4901af969c8391d14a5e"},
+    {file = "torchvision-0.18.1+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:15c3684dd265add6614a42b734e1b5a346e5a03ffa2414d2869cc01f9204b465"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
+torch = "2.3.1"
+
+[package.extras]
+scipy = ["scipy"]
+
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cu121"
+reference = "pytorch-cu121"
+
 [[package]]
 name = "tqdm"
 version = "4.66.4"
@@ -1590,7 +1703,11 @@ files = [
 [package.extras]
 dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
 
+[extras]
+cpu = ["torch", "torch", "torchvision", "torchvision"]
+cuda = ["torch", "torch", "torchvision", "torchvision"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "bd401d7a629b407f711954dd67ecb23f06afabe17f52af4beff487915a9429c5"
+content-hash = "d6f62210f15d074a49bf256ae58038e0f6875a26336cf71ecd9975b9a483b9f8"
diff --git a/pyproject.toml b/pyproject.toml
index 532f9f5..a581323 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,10 +4,28 @@ version = "0.1.0"
 description = ""
 authors = ["narumi <toucans-cutouts0f@icloud.com>"]
 
+[[tool.poetry.source]]
+name = "pytorch-cu121"
+url = "https://download.pytorch.org/whl/cu121"
+priority = "explicit"
+
+[[tool.poetry.source]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
+
 [tool.poetry.dependencies]
 python = "^3.11"
-torch = "^2.3.1"
-torchvision = "^0.18.1"
+# torch = "^2.3.1"
+# torchvision = "^0.18.1"
+torch = [
+    { version = "^2.3.1+cu121", source = "pytorch-cu121", markers = "extra=='cuda' and extra!='cpu'" },
+    { version = "^2.3.1+cpu", source = "pytorch-cpu", markers = "extra=='cpu' and extra!='cuda'" },
+]
+torchvision = [
+    { version = "^0.18.1+cu121", source = "pytorch-cu121", markers = "extra=='cuda' and extra!='cpu'" },
+    { version = "^0.18.1+cpu", source = "pytorch-cpu", markers = "extra=='cpu' and extra!='cuda'" },
+]
 torchmetrics = "^1.4.0"
 numpy = "^1.26.3"
 tqdm = "^4.66.4"
@@ -22,6 +40,10 @@ ruff = "^0.4.10"
 toml = "^0.10.2"
 mypy = "^1.10.0"
 
+[tool.poetry.extras]
+cuda = ["torch", "torchvision"]
+cpu = ["torch", "torchvision"]
+
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"