From 665bcdc95c49e4f164484fd3f913b97b4f3ef7b6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?C=C3=A9dric=20Deltheil?= <cedric@deltheil.me>
Date: Thu, 5 Oct 2023 11:48:12 +0200
Subject: [PATCH] add unit tests covering fluxion's gaussian_blur

---
 poetry.lock                 | 1205 +++++++++++++++++++----------------
 pyproject.toml              |    2 +-
 tests/fluxion/test_utils.py |   42 ++
 3 files changed, 697 insertions(+), 552 deletions(-)
 create mode 100644 tests/fluxion/test_utils.py

diff --git a/poetry.lock b/poetry.lock
index 3ec3ca5..75dc0da 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -282,75 +282,63 @@ files = [
 
 [[package]]
 name = "cffi"
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+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
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 ]
 
 [package.dependencies]
@@ -358,86 +346,101 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = true
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+    {file = "charset_normalizer-3.3.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:153e7b6e724761741e0974fc4dcd406d35ba70b92bfe3fedcb497226c93b9da7"},
+    {file = "charset_normalizer-3.3.0-cp39-cp39-win32.whl", hash = "sha256:d47ecf253780c90ee181d4d871cd655a789da937454045b17b5798da9393901a"},
+    {file = "charset_normalizer-3.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:d97d85fa63f315a8bdaba2af9a6a686e0eceab77b3089af45133252618e70884"},
+    {file = "charset_normalizer-3.3.0-py3-none-any.whl", hash = "sha256:e46cd37076971c1040fc8c41273a8b3e2c624ce4f2be3f5dfcb7a430c1d3acc2"},
 ]
 
 [[package]]
@@ -566,18 +569,19 @@ files = [
 
 [[package]]
 name = "diffusers"
-version = "0.21.2"
+version = "0.21.4"
 description = "State-of-the-art diffusion in PyTorch and JAX."
 optional = true
 python-versions = ">=3.7.0"
 files = [
-    {file = "diffusers-0.21.2.tar.gz", hash = "sha256:8b42bf1d991a72c7a501726818d3e2ec1b4c3abee63284335d9552e9340629e5"},
+    {file = "diffusers-0.21.4-py3-none-any.whl", hash = "sha256:00d63135ac78a670cdacfe2a1c921d3cf75fe4f248202f3fe947121b254ad440"},
+    {file = "diffusers-0.21.4.tar.gz", hash = "sha256:3fac38833179427f167c675dda71ee7b4f5e627200457a8d527e40cdaf972688"},
 ]
 
 [package.dependencies]
 filelock = "*"
 huggingface-hub = ">=0.13.2"
-importlib_metadata = "*"
+importlib-metadata = "*"
 numpy = "*"
 Pillow = "*"
 regex = "!=2019.12.17"
@@ -585,7 +589,7 @@ requests = "*"
 safetensors = ">=0.3.1"
 
 [package.extras]
-dev = ["Jinja2", "Jinja2", "accelerate (>=0.11.0)", "accelerate (>=0.11.0)", "black (>=23.1,<24.0)", "compel (==0.1.8)", "datasets", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.0.280)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4)", "torchvision", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
+dev = ["Jinja2", "accelerate (>=0.11.0)", "black (>=23.1,<24.0)", "compel (==0.1.8)", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)", "k-diffusion (>=0.0.12)", "librosa", "omegaconf", "parameterized", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.0.280)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4)", "torchvision", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
 docs = ["hf-doc-builder (>=0.3.0)"]
 flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.0.280)", "urllib3 (<=2.0.0)"]
@@ -637,17 +641,17 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = "*"
 files = [
-    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
-    {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
+    {file = "executing-2.0.0-py2.py3-none-any.whl", hash = "sha256:06df6183df67389625f4e763921c6cf978944721abf3e714000200aab95b0657"},
+    {file = "executing-2.0.0.tar.gz", hash = "sha256:0ff053696fdeef426cda5bd18eacd94f82c91f49823a2e9090124212ceea9b08"},
 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "filelock"
@@ -807,13 +811,13 @@ test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit"
 
 [[package]]
 name = "huggingface-hub"
-version = "0.17.2"
+version = "0.16.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
-python-versions = ">=3.8.0"
+python-versions = ">=3.7.0"
 files = [
-    {file = "huggingface_hub-0.17.2-py3-none-any.whl", hash = "sha256:fc4a36640b2b51dced0da37a18420572145a0dd528f46715afe6c1f955cc8533"},
-    {file = "huggingface_hub-0.17.2.tar.gz", hash = "sha256:51b0257ff75b422d3cb0662db799c7a03fdc72b8f84a09ce3ff7655dca1958b2"},
+    {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+    {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
 ]
 
 [package.dependencies]
@@ -826,17 +830,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
-docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)", "watchdog"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic (<2.0)"]
-quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic"]
+quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
 [[package]]
 name = "idna"
@@ -931,13 +934,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.15.0"
+version = "8.16.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "ipython-8.15.0-py3-none-any.whl", hash = "sha256:45a2c3a529296870a97b7de34eda4a31bee16bc7bf954e07d39abe49caf8f887"},
-    {file = "ipython-8.15.0.tar.gz", hash = "sha256:2baeb5be6949eeebf532150f81746f8333e2ccce02de1c7eedde3f23ed5e9f1e"},
+    {file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"},
+    {file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"},
 ]
 
 [package.dependencies]
@@ -1003,13 +1006,13 @@ typing-extensions = ">=3.7.4.1"
 
 [[package]]
 name = "jedi"
-version = "0.19.0"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "jedi-0.19.0-py2.py3-none-any.whl", hash = "sha256:cb8ce23fbccff0025e9386b5cf85e892f94c9b822378f8da49970471335ac64e"},
-    {file = "jedi-0.19.0.tar.gz", hash = "sha256:bcf9894f1753969cbac8022a8c2eaee06bfa3724e4192470aaffe7eb6272b0c4"},
+    {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
+    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
 ]
 
 [package.dependencies]
@@ -1018,7 +1021,7 @@ parso = ">=0.8.3,<0.9.0"
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -1061,13 +1064,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.3.1"
+version = "5.3.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.3.1-py3-none-any.whl", hash = "sha256:ae9036db959a71ec1cac33081eeb040a79e681f08ab68b0883e9a676c7a90dce"},
-    {file = "jupyter_core-5.3.1.tar.gz", hash = "sha256:5ba5c7938a7f97a6b0481463f7ff0dbac7c15ba48cf46fa4035ca6e838aa1aba"},
+    {file = "jupyter_core-5.3.2-py3-none-any.whl", hash = "sha256:a4af53c3fa3f6330cebb0d9f658e148725d15652811d1c32dc0f63bb96f2e6d6"},
+    {file = "jupyter_core-5.3.2.tar.gz", hash = "sha256:0c28db6cbe2c37b5b398e1a1a5b22f84fd64cd10afc1f6c05b02fb09481ba45f"},
 ]
 
 [package.dependencies]
@@ -1405,18 +1408,18 @@ files = [
 
 [[package]]
 name = "opencv-python"
-version = "4.8.0.76"
+version = "4.8.1.78"
 description = "Wrapper package for OpenCV python bindings."
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "opencv-python-4.8.0.76.tar.gz", hash = "sha256:56d84c43ce800938b9b1ec74b33942b2edbcef3f70c2754eb9bfe5dff1ee3ace"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:67bce4b9aad307c98a9a07c6afb7de3a4e823c1f4991d6d8e88e229e7dfeee59"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:48eb3121d809a873086d6677565e3ac963e6946110d13cd115533fa70e2aa2eb"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:93871871b1c9d6b125cddd45b0638a2fa01ee9fd37f5e428823f750e404f2f15"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9bcb4944211acf13742dbfd9d3a11dc4e36353ffa1746f2c7dcd6a01c32d1376"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-win32.whl", hash = "sha256:b2349dc9f97ed6c9ba163d0a7a24bcef9695a3e216cd143e92f1b9659c5d9a49"},
-    {file = "opencv_python-4.8.0.76-cp37-abi3-win_amd64.whl", hash = "sha256:ba32cfa75a806abd68249699d34420737d27b5678553387fc5768747a6492147"},
+    {file = "opencv-python-4.8.1.78.tar.gz", hash = "sha256:cc7adbbcd1112877a39274106cb2752e04984bc01a031162952e97450d6117f6"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:91d5f6f5209dc2635d496f6b8ca6573ecdad051a09e6b5de4c399b8e673c60da"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:bc31f47e05447da8b3089faa0a07ffe80e114c91ce0b171e6424f9badbd1c5cd"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9814beca408d3a0eca1bae7e3e5be68b07c17ecceb392b94170881216e09b319"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4c406bdb41eb21ea51b4e90dfbc989c002786c3f601c236a99c59a54670a394"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-win32.whl", hash = "sha256:a7aac3900fbacf55b551e7b53626c3dad4c71ce85643645c43e91fcb19045e47"},
+    {file = "opencv_python-4.8.1.78-cp37-abi3-win_amd64.whl", hash = "sha256:b983197f97cfa6fcb74e1da1802c7497a6f94ed561aba6980f1f33123f904956"},
 ]
 
 [package.dependencies]
@@ -1428,13 +1431,13 @@ numpy = [
 
 [[package]]
 name = "packaging"
-version = "23.1"
+version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [[package]]
 name = "platformdirs"
-version = "3.10.0"
+version = "3.11.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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 python-versions = ">=3.7"
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 [package.extras]
@@ -1703,24 +1706,24 @@ wcwidth = "*"
 
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+version = "4.24.4"
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 [[package]]
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 [[package]]
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+version = "1.1.329"
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 [package.dependencies]
@@ -2263,99 +2266,99 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
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-version = "2023.8.8"
+version = "2023.10.3"
 description = "Alternative regular expression module, to replace re."
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 [[package]]
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 [[package]]
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 description = "Fundamental algorithms for scientific computing in Python"
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 ]
 
 [package.dependencies]
@@ -2592,83 +2595,99 @@ tornado = ["tornado (>=5)"]
 
 [[package]]
 name = "setproctitle"
-version = "1.3.2"
+version = "1.3.3"
 description = "A Python module to customize the process title"
 optional = true
 python-versions = ">=3.7"
 files = [
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-dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
-docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
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 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
@@ -2929,13 +3009,13 @@ telegram = ["requests"]
 
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 description = "Traitlets Python configuration system"
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 [package.extras]
@@ -2944,39 +3024,39 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
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 ]
 
 [[package]]
@@ -3329,10 +3432,10 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 conversion = ["diffusers", "segment-anything", "transformers"]
-test = ["diffusers", "invisible-watermark", "piq", "segment-anything", "transformers"]
+test = ["diffusers", "invisible-watermark", "piq", "segment-anything", "torchvision", "transformers"]
 training = ["bitsandbytes", "datasets", "loguru", "prodigyopt", "pydantic", "scipy", "tomli", "torchvision", "wandb"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "a13b0150b43e30c650c60da1d68734b72b62dd369978fc128c47c4d323610c1b"
+content-hash = "da0a1691de258bf73fc34b778fd08f5af9c36f8ebf7ee0cf867fc298bb971335"
diff --git a/pyproject.toml b/pyproject.toml
index e3bd212..d51c00b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,7 +34,7 @@ segment-anything = {git = "https://github.com/facebookresearch/segment-anything"
 [tool.poetry.extras]
 training = ["datasets", "tomli", "wandb", "loguru", "bitsandbytes", "prodigyopt", "pydantic", "scipy", "torchvision"]
 conversion = ["diffusers", "transformers", "segment-anything"]
-test = ["diffusers", "transformers", "piq", "invisible-watermark", "segment-anything"]
+test = ["diffusers", "transformers", "piq", "invisible-watermark", "segment-anything", "torchvision"]
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.1.0"
diff --git a/tests/fluxion/test_utils.py b/tests/fluxion/test_utils.py
new file mode 100644
index 0000000..ff92f2e
--- /dev/null
+++ b/tests/fluxion/test_utils.py
@@ -0,0 +1,42 @@
+from dataclasses import dataclass
+
+from torchvision.transforms.functional import gaussian_blur as torch_gaussian_blur  # type: ignore
+import pytest
+import torch
+
+from refiners.fluxion.utils import gaussian_blur, manual_seed
+
+
+@dataclass
+class BlurInput:
+    kernel_size: int | tuple[int, int]
+    sigma: float | tuple[float, float] | None = None
+    image_height: int = 512
+    image_width: int = 512
+    batch_size: int | None = 1
+
+
+BLUR_INPUTS: list[BlurInput] = [
+    BlurInput(kernel_size=9),
+    BlurInput(kernel_size=9, batch_size=None),
+    BlurInput(kernel_size=9, sigma=1.0),
+    BlurInput(kernel_size=9, sigma=1.0, image_height=768),
+    BlurInput(kernel_size=(9, 5), sigma=(1.0, 0.8)),
+]
+
+
+@pytest.fixture(params=BLUR_INPUTS)
+def blur_input(request: pytest.FixtureRequest) -> BlurInput:
+    return request.param
+
+
+def test_gaussian_blur(blur_input: BlurInput) -> None:
+    manual_seed(2)
+    tensor = torch.randn(3, blur_input.image_height, blur_input.image_width)
+    if blur_input.batch_size is not None:
+        tensor = tensor.expand(blur_input.batch_size, -1, -1, -1)
+
+    ref_blur = torch_gaussian_blur(tensor, blur_input.kernel_size, blur_input.sigma)  # type: ignore
+    our_blur = gaussian_blur(tensor, blur_input.kernel_size, blur_input.sigma)
+
+    assert torch.equal(our_blur, ref_blur)