diff --git a/dev_requirements.txt b/dev_requirements.txt
deleted file mode 100644
index 2343cd8..0000000
--- a/dev_requirements.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-flake8
-pytest
-setuptools
-wheel
-twine
-virtualenv
-rstcheck
-sphinx
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..da493b3
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1651 @@
+[[package]]
+name = "absl-py"
+version = "0.11.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "arrow"
+version = "0.17.0"
+description = "Better dates & times for Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+python-dateutil = ">=2.7.0"
+
+[[package]]
+name = "atomicwrites"
+version = "1.4.0"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "20.3.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
+
+[[package]]
+name = "babel"
+version = "2.8.0"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
+[[package]]
+name = "binaryornot"
+version = "0.4.4"
+description = "Ultra-lightweight pure Python package to check if a file is binary or text."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+chardet = ">=3.0.2"
+
+[[package]]
+name = "cachetools"
+version = "4.1.1"
+description = "Extensible memoizing collections and decorators"
+category = "main"
+optional = false
+python-versions = "~=3.5"
+
+[[package]]
+name = "certifi"
+version = "2020.11.8"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "chardet"
+version = "3.0.4"
+description = "Universal encoding detector for Python 2 and 3"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "click"
+version = "7.1.2"
+description = "Composable command line interface toolkit"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "colorama"
+version = "0.4.4"
+description = "Cross-platform colored terminal text."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "cookiecutter"
+version = "1.7.2"
+description = "A command-line utility that creates projects from project templates, e.g. creating a Python package project from a Python package project template."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+binaryornot = ">=0.4.4"
+click = ">=7.0"
+Jinja2 = "<3.0.0"
+jinja2-time = ">=0.2.0"
+MarkupSafe = "<2.0.0"
+poyo = ">=0.5.0"
+python-slugify = ">=4.0.0"
+requests = ">=2.23.0"
+six = ">=1.10"
+
+[[package]]
+name = "cycler"
+version = "0.10.0"
+description = "Composable style cycles"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "decorator"
+version = "4.4.2"
+description = "Decorators for Humans"
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*"
+
+[[package]]
+name = "docutils"
+version = "0.16"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "flake8"
+version = "3.8.4"
+description = "the modular source code checker: pep8 pyflakes and co"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+
+[package.dependencies]
+mccabe = ">=0.6.0,<0.7.0"
+pycodestyle = ">=2.6.0a1,<2.7.0"
+pyflakes = ">=2.2.0,<2.3.0"
+
+[[package]]
+name = "future"
+version = "0.18.2"
+description = "Clean single-source support for Python 3 and 2"
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+
+[[package]]
+name = "google-auth"
+version = "1.23.0"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+
+[package.dependencies]
+cachetools = ">=2.0.0,<5.0"
+pyasn1-modules = ">=0.2.1"
+rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.5\""}
+six = ">=1.9.0"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
+
+[[package]]
+name = "google-auth-oauthlib"
+version = "0.4.2"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+google-auth = "*"
+requests-oauthlib = ">=0.7.0"
+
+[package.extras]
+tool = ["click"]
+
+[[package]]
+name = "grpcio"
+version = "1.33.2"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.5.2"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.33.2)"]
+
+[[package]]
+name = "idna"
+version = "2.10"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "imageio"
+version = "2.9.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+numpy = "*"
+pillow = "*"
+
+[package.extras]
+ffmpeg = ["imageio-ffmpeg"]
+fits = ["astropy"]
+full = ["astropy", "gdal", "imageio-ffmpeg", "itk"]
+gdal = ["gdal"]
+itk = ["itk"]
+
+[[package]]
+name = "imagesize"
+version = "1.2.0"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "imgaug"
+version = "0.4.0"
+description = "Image augmentation library for deep neural networks"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+imageio = "*"
+matplotlib = "*"
+numpy = ">=1.15"
+opencv-python = "*"
+Pillow = "*"
+scikit-image = ">=0.14.2"
+scipy = "*"
+Shapely = "*"
+six = "*"
+
+[[package]]
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "jinja2"
+version = "2.11.2"
+description = "A very fast and expressive template engine."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+MarkupSafe = ">=0.23"
+
+[package.extras]
+i18n = ["Babel (>=0.8)"]
+
+[[package]]
+name = "jinja2-time"
+version = "0.2.0"
+description = "Jinja2 Extension for Dates and Times"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+arrow = "*"
+jinja2 = "*"
+
+[[package]]
+name = "kiwisolver"
+version = "1.3.1"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "markdown"
+version = "3.3.3"
+description = "Python implementation of Markdown."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+testing = ["coverage", "pyyaml"]
+
+[[package]]
+name = "markupsafe"
+version = "1.1.1"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "main"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+
+[[package]]
+name = "matplotlib"
+version = "3.3.2"
+description = "Python plotting package"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+certifi = ">=2020.06.20"
+cycler = ">=0.10"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.15"
+pillow = ">=6.2.0"
+pyparsing = ">=2.0.3,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6"
+python-dateutil = ">=2.1"
+
+[[package]]
+name = "mccabe"
+version = "0.6.1"
+description = "McCabe checker, plugin for flake8"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "networkx"
+version = "2.5"
+description = "Python package for creating and manipulating graphs and networks"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+decorator = ">=4.3.0"
+
+[package.extras]
+all = ["numpy", "scipy", "pandas", "matplotlib", "pygraphviz", "pydot", "pyyaml", "lxml", "pytest"]
+gdal = ["gdal"]
+lxml = ["lxml"]
+matplotlib = ["matplotlib"]
+numpy = ["numpy"]
+pandas = ["pandas"]
+pydot = ["pydot"]
+pygraphviz = ["pygraphviz"]
+pytest = ["pytest"]
+pyyaml = ["pyyaml"]
+scipy = ["scipy"]
+
+[[package]]
+name = "numpy"
+version = "1.19.4"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "oauthlib"
+version = "3.1.0"
+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+rsa = ["cryptography"]
+signals = ["blinker"]
+signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
+
+[[package]]
+name = "opencv-python"
+version = "4.4.0.46"
+description = "Wrapper package for OpenCV python bindings."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+numpy = ">=1.17.3"
+
+[[package]]
+name = "packaging"
+version = "20.4"
+description = "Core utilities for Python packages"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+pyparsing = ">=2.0.2"
+six = "*"
+
+[[package]]
+name = "pandas"
+version = "1.1.4"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "main"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
+[[package]]
+name = "pillow"
+version = "8.0.1"
+description = "Python Imaging Library (Fork)"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "pluggy"
+version = "0.13.1"
+description = "plugin and hook calling mechanisms for python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+
+[[package]]
+name = "poyo"
+version = "0.5.0"
+description = "A lightweight YAML Parser for Python. 🐓"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "protobuf"
+version = "3.13.0"
+description = "Protocol Buffers"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.9"
+
+[[package]]
+name = "py"
+version = "1.9.0"
+description = "library with cross-python path, ini-parsing, io, code, log facilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pyasn1"
+version = "0.4.8"
+description = "ASN.1 types and codecs"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.2.8"
+description = "A collection of ASN.1-based protocols modules."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+pyasn1 = ">=0.4.6,<0.5.0"
+
+[[package]]
+name = "pycodestyle"
+version = "2.6.0"
+description = "Python style guide checker"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pydantic"
+version = "1.7.2"
+description = "Data validation and settings management using python 3.6 type hinting"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+dotenv = ["python-dotenv (>=0.10.4)"]
+email = ["email-validator (>=1.0.3)"]
+typing_extensions = ["typing-extensions (>=3.7.2)"]
+
+[[package]]
+name = "pyflakes"
+version = "2.2.0"
+description = "passive checker of Python programs"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pygments"
+version = "2.7.2"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "pyparsing"
+version = "2.4.7"
+description = "Python parsing module"
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+
+[[package]]
+name = "pytest"
+version = "6.1.2"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+attrs = ">=17.4.0"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<1.0"
+py = ">=1.8.2"
+toml = "*"
+
+[package.extras]
+checkqa_mypy = ["mypy (==0.780)"]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+
+[[package]]
+name = "python-dateutil"
+version = "2.8.1"
+description = "Extensions to the standard Python datetime module"
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "python-slugify"
+version = "4.0.1"
+description = "A Python Slugify application that handles Unicode"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+text-unidecode = ">=1.3"
+
+[package.extras]
+unidecode = ["Unidecode (>=1.1.1)"]
+
+[[package]]
+name = "pytorch-datastream"
+version = "0.3.8"
+description = "Simple dataset to dataloader library for pytorch"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+numpy = ">=1.17"
+pandas = ">=0.25"
+pydantic = ">=1.5"
+torch = {version = ">=1.4", markers = "python_version > \"3.6\""}
+
+[[package]]
+name = "pytz"
+version = "2020.4"
+description = "World timezone definitions, modern and historical"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pywavelets"
+version = "1.1.1"
+description = "PyWavelets, wavelet transform module"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+numpy = ">=1.13.3"
+
+[[package]]
+name = "requests"
+version = "2.24.0"
+description = "Python HTTP for Humans."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+chardet = ">=3.0.2,<4"
+idna = ">=2.5,<3"
+urllib3 = ">=1.21.1,<1.25.0 || >1.25.0,<1.25.1 || >1.25.1,<1.26"
+
+[package.extras]
+security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
+socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
+
+[[package]]
+name = "requests-oauthlib"
+version = "1.3.0"
+description = "OAuthlib authentication support for Requests."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
+[[package]]
+name = "rsa"
+version = "4.6"
+description = "Pure-Python RSA implementation"
+category = "main"
+optional = false
+python-versions = ">=3.5, <4"
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
+[[package]]
+name = "rstcheck"
+version = "3.3.1"
+description = "Checks syntax of reStructuredText and code blocks nested within it"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+docutils = ">=0.7"
+
+[[package]]
+name = "scikit-image"
+version = "0.17.2"
+description = "Image processing in Python"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+imageio = ">=2.3.0"
+matplotlib = ">=2.0.0,<3.0.0 || >3.0.0"
+networkx = ">=2.0"
+numpy = ">=1.15.1"
+pillow = ">=4.3.0,<7.1.0 || >7.1.0,<7.1.1 || >7.1.1"
+PyWavelets = ">=1.1.1"
+scipy = ">=1.0.1"
+tifffile = ">=2019.7.26"
+
+[package.extras]
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+    {file = "Shapely-1.7.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8f15b6ce67dcc05b61f19c689b60f3fe58550ba994290ff8332f711f5aaa9840"},
+    {file = "Shapely-1.7.1-cp36-cp36m-win32.whl", hash = "sha256:60e5b2282619249dbe8dc5266d781cc7d7fb1b27fa49f8241f2167672ad26719"},
+    {file = "Shapely-1.7.1-cp36-cp36m-win_amd64.whl", hash = "sha256:de618e67b64a51a0768d26a9963ecd7d338a2cf6e9e7582d2385f88ad005b3d1"},
+    {file = "Shapely-1.7.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:182716ffb500d114b5d1b75d7fd9d14b7d3414cef3c38c0490534cc9ce20981a"},
+    {file = "Shapely-1.7.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:4f3c59f6dbf86a9fc293546de492f5e07344e045f9333f3a753f2dda903c45d1"},
+    {file = "Shapely-1.7.1-cp37-cp37m-win32.whl", hash = "sha256:6871acba8fbe744efa4f9f34e726d070bfbf9bffb356a8f6d64557846324232b"},
+    {file = "Shapely-1.7.1-cp37-cp37m-win_amd64.whl", hash = "sha256:35be1c5d869966569d3dfd4ec31832d7c780e9df760e1fe52131105685941891"},
+    {file = "Shapely-1.7.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:052eb5b9ba756808a7825e8a8020fb146ec489dd5c919e7d139014775411e688"},
+    {file = "Shapely-1.7.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:90a3e2ae0d6d7d50ff2370ba168fbd416a53e7d8448410758c5d6a5920646c1d"},
+    {file = "Shapely-1.7.1-cp38-cp38-win32.whl", hash = "sha256:a3774516c8a83abfd1ddffb8b6ec1b0935d7fe6ea0ff5c31a18bfdae567b4eba"},
+    {file = "Shapely-1.7.1-cp38-cp38-win_amd64.whl", hash = "sha256:6593026cd3f5daaea12bcc51ae5c979318070fefee210e7990cb8ac2364e79a1"},
+    {file = "Shapely-1.7.1.tar.gz", hash = "sha256:1641724c1055459a7e2b8bbe47ba25bdc89554582e62aec23cb3f3ca25f9b129"},
+]
+six = [
+    {file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
+    {file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
+]
+snowballstemmer = [
+    {file = "snowballstemmer-2.0.0-py2.py3-none-any.whl", hash = "sha256:209f257d7533fdb3cb73bdbd24f436239ca3b2fa67d56f6ff88e86be08cc5ef0"},
+    {file = "snowballstemmer-2.0.0.tar.gz", hash = "sha256:df3bac3df4c2c01363f3dd2cfa78cce2840a79b9f1c2d2de9ce8d31683992f52"},
+]
+sphinx = [
+    {file = "Sphinx-3.3.0-py3-none-any.whl", hash = "sha256:3abdb2c57a65afaaa4f8573cbabd5465078eb6fd282c1e4f87f006875a7ec0c7"},
+    {file = "Sphinx-3.3.0.tar.gz", hash = "sha256:1c21e7c5481a31b531e6cbf59c3292852ccde175b504b00ce2ff0b8f4adc3649"},
+]
+sphinxcontrib-applehelp = [
+    {file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
+    {file = "sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a"},
+]
+sphinxcontrib-devhelp = [
+    {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
+    {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
+]
+sphinxcontrib-htmlhelp = [
+    {file = "sphinxcontrib-htmlhelp-1.0.3.tar.gz", hash = "sha256:e8f5bb7e31b2dbb25b9cc435c8ab7a79787ebf7f906155729338f3156d93659b"},
+    {file = "sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:3c0bc24a2c41e340ac37c85ced6dafc879ab485c095b1d65d2461ac2f7cca86f"},
+]
+sphinxcontrib-jsmath = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
+sphinxcontrib-qthelp = [
+    {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
+    {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
+]
+sphinxcontrib-serializinghtml = [
+    {file = "sphinxcontrib-serializinghtml-1.1.4.tar.gz", hash = "sha256:eaa0eccc86e982a9b939b2b82d12cc5d013385ba5eadcc7e4fed23f4405f77bc"},
+    {file = "sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl", hash = "sha256:f242a81d423f59617a8e5cf16f5d4d74e28ee9a66f9e5b637a18082991db5a9a"},
+]
+tensorboard = [
+    {file = "tensorboard-2.3.0-py3-none-any.whl", hash = "sha256:d34609ed83ff01dd5b49ef81031cfc9c166bba0dabd60197024f14df5e8eae5e"},
+]
+tensorboard-plugin-wit = [
+    {file = "tensorboard_plugin_wit-1.7.0-py3-none-any.whl", hash = "sha256:ee775f04821185c90d9a0e9c56970ee43d7c41403beb6629385b39517129685b"},
+]
+text-unidecode = [
+    {file = "text-unidecode-1.3.tar.gz", hash = "sha256:bad6603bb14d279193107714b288be206cac565dfa49aa5b105294dd5c4aab93"},
+    {file = "text_unidecode-1.3-py2.py3-none-any.whl", hash = "sha256:1311f10e8b895935241623731c2ba64f4c455287888b18189350b67134a822e8"},
+]
+tifffile = [
+    {file = "tifffile-2020.10.1-py3-none-any.whl", hash = "sha256:9611ac348b4db6844b6555db2b5f8f2be1715728a0011352acb55e0171ee2949"},
+    {file = "tifffile-2020.10.1.tar.gz", hash = "sha256:799feeccc91965b69e1288c51a1d1118faec7f40b2eb89ad2979591b85324830"},
+]
+toml = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+torch = [
+    {file = "torch-1.6.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:7669f4d923b5758e28b521ea749c795ed67ff24b45ba20296bc8cff706d08df8"},
+    {file = "torch-1.6.0-cp36-none-macosx_10_9_x86_64.whl", hash = "sha256:728facb972a5952323c6d790c2c5922b2b35c44b0bc7bdfa02f8639727671a0c"},
+    {file = "torch-1.6.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:87d65c01d1b70bb46070824f28bfd93c86d3c5c56b90cbbe836a3f2491d91c76"},
+    {file = "torch-1.6.0-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:3838bd01af7dfb1f78573973f6842ce75b17e8e4f22be99c891dcb7c94bc13f5"},
+    {file = "torch-1.6.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:5357873e243bcfa804c32dc341f564e9a4c12addfc9baae4ee857fcc09a0a216"},
+    {file = "torch-1.6.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:4f9a4ad7947cef566afb0a323d99009fe8524f0b0f2ca1fb7ad5de0400381a5b"},
+]
+tqdm = [
+    {file = "tqdm-4.51.0-py2.py3-none-any.whl", hash = "sha256:9ad44aaf0fc3697c06f6e05c7cf025dd66bc7bcb7613c66d85f4464c47ac8fad"},
+    {file = "tqdm-4.51.0.tar.gz", hash = "sha256:ef54779f1c09f346b2b5a8e5c61f96fbcb639929e640e59f8cf810794f406432"},
+]
+urllib3 = [
+    {file = "urllib3-1.25.11-py2.py3-none-any.whl", hash = "sha256:f5321fbe4bf3fefa0efd0bfe7fb14e90909eb62a48ccda331726b4319897dd5e"},
+    {file = "urllib3-1.25.11.tar.gz", hash = "sha256:8d7eaa5a82a1cac232164990f04874c594c9453ec55eef02eab885aa02fc17a2"},
+]
+werkzeug = [
+    {file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
+    {file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
+]
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..2e48184
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,28 @@
+[tool.poetry]
+name = "workflow"
+version = "0.0.0"
+description = "Pytorch project template and related tools"
+authors = ["Aiwizo"]
+license = "Apache 2"
+include = ["workflow/template/*"]
+
+[tool.poetry.dependencies]
+python = "^3.8"
+numpy = "^1.19.4"
+opencv-python = "^4.4.0"
+pytorch-datastream = "^0.3.8"
+torch = "1.6.0"
+tqdm = "^4.51.0"
+cookiecutter = "^1.7.2"
+tensorboard = "^2.3.0"
+imgaug = "^0.4.0"
+
+[tool.poetry.dev-dependencies]
+flake8 = "^3.8.4"
+pytest = "^6.1.2"
+rstcheck = "^3.3.1"
+Sphinx = "^3.3.0"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 906cf76..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-numpy>=1.18.1
-opencv-python>=4.1.2.30
-pandas>=0.25.3
-pytorch-ignite>=0.4.0,<0.5
-scikit-learn>=0.20.4
-tensorboard>=2.1.0
-torch>=1.2.0
-tqdm>=4.41.1
-cookiecutter==1.7.2
-imgaug>=0.4.0
-pytorch-datastream>=0.3.0
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index 9232771..0000000
--- a/setup.cfg
+++ /dev/null
@@ -1,44 +0,0 @@
-[metadata]
-name = ml-workflow
-author = "Aiwizo"
-author-email = richard@aiwizo.com
-summary = Pytorch project template and required tools
-description-file =
-    README.rst
-description-content-type = text/x-rst; charset=UTF-8
-project_urls =
-    Source Code = https://github.com/aiwizo/ml-workflow/
-license = Apache-2
-classifier =
-    Development Status :: 3 - Alpha
-    Environment :: Other Environment
-    License :: OSI Approved :: Apache Software License
-    Operating System :: OS Independent
-    Programming Language :: Python :: 3
-keywords =
-    pytorch
-    ignite
-    workflow
-    utilities
-
-[files]
-packages =
-    workflow
-data_files = workflow/template = template/*
-
-[entry_points]
-pbr.config.drivers =
-    plain = pbr.cfg.driver:Plain
-
-[options]
-python_requires = >=3.7
-setup_requires =
-    setuptools
-
-[bdist_wheel]
-
-[build_sphinx]
-builders = html
-source-dir = docs/source
-build-dir = docs/build
-all-files = 1
diff --git a/setup_template.sh b/setup_template.sh
index d3c6863..f6c9b13 100755
--- a/setup_template.sh
+++ b/setup_template.sh
@@ -3,11 +3,12 @@ set -o errexit -o nounset -o pipefail -o xtrace
 
 VERSION=${1:-"3.8"}
 
+poetry build
 rm -rf test_template
 mkdir test_template
 cd test_template
-poetry init
-poetry run pip install -e ../.
+poetry init --name test --description test --author none --python ${VERSION} -n
+poetry add ../dist/workflow-0.0.0-py3-none-any.whl
 echo "test
 test
 0.1.0
diff --git a/template/{{cookiecutter.repository_name}}/pyproject.toml b/template/{{cookiecutter.repository_name}}/pyproject.toml
deleted file mode 100644
index c26102b..0000000
--- a/template/{{cookiecutter.repository_name}}/pyproject.toml
+++ /dev/null
@@ -1,24 +0,0 @@
-[tool.poetry]
-name = "{{cookiecutter.repository_name}}"
-version = "{{cookiecutter.package_version}}"
-description = "{{cookiecutter.package_description}}"
-authors = ["Aiwizo AB"]
-
-[tool.poetry.dependencies]
-python = "^3.8"
-torch = ">=1.6.0"
-numpy = ">=1.19.2"
-torchvision = ">=0.7.0"
-opencv-python = ">=4.4.0"
-ml-workflow = ">=0.8.1"
-pytorch-datastream = ">=0.3.6"
-
-[tool.poetry.dev-dependencies]
-guildai = ">=0.7.1.dev6"
-data-kale = ">=0.1.3"
-pylint = ">=2.6.0"
-flake8 = ">=3.8.4"
-
-[build-system]
-requires = ["poetry>=0.12"]
-build-backend = "poetry.masonry.api"
diff --git a/template/{{cookiecutter.repository_name}}/setup.py b/template/{{cookiecutter.repository_name}}/setup.py
deleted file mode 100644
index 028b859..0000000
--- a/template/{{cookiecutter.repository_name}}/setup.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from setuptools import setup
-
-
-setup(
-    setup_requires=['pbr', 'setuptools_scm'],
-    pbr=True,
-    use_scm_version=True,
-)
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py b/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py
deleted file mode 100644
index 2f4f019..0000000
--- a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py
+++ /dev/null
@@ -1,159 +0,0 @@
-from functools import partial
-from pathlib import Path
-import numpy as np
-import random
-import argparse
-import torch
-import torch.nn.functional as F
-import ignite
-import logging
-import workflow
-from workflow.functional import starcompose
-from workflow.torch import set_seeds
-from workflow.ignite import worker_init
-from workflow.ignite.handlers.learning_rate import (
-    LearningRateScheduler, warmup, cyclical
-)
-from datastream import Datastream
-
-from {{cookiecutter.package_name}} import (
-    datastream, architecture, metrics, log_examples
-)
-
-
-def train(config):
-
-    set_seeds(config['seed'])
-
-    device = torch.device('cuda' if config['use_cuda'] else 'cpu')
-
-    model = architecture.Model().to(device)
-    optimizer = torch.optim.Adam(
-        model.parameters(), lr=config['learning_rate']
-    )
-
-    train_state = dict(model=model, optimizer=optimizer)
-
-    if Path('model').exists():
-        print('Loading model checkpoint')
-        workflow.ignite.handlers.ModelCheckpoint.load(
-            train_state, 'model/checkpoints', device
-        )
-
-        workflow.torch.set_learning_rate(optimizer, config['learning_rate'])
-
-    n_parameters = sum([
-        p.shape.numel() for p in model.parameters() if p.requires_grad
-    ])
-    print(f'n_parameters: {n_parameters:,}')
-
-    def process_batch(examples):
-        predictions = model.predictions(
-            architecture.FeatureBatch.from_examples(examples)
-        )
-        loss = predictions.loss(examples)
-        return predictions, loss
-
-    @workflow.ignite.decorators.train(model, optimizer)
-    def train_batch(engine, examples):
-        predictions, loss = process_batch(examples)
-        loss.backward()
-        return dict(
-            examples=examples,
-            predictions=predictions.cpu().detach(),
-            loss=loss,
-        )
-
-    @workflow.ignite.decorators.evaluate(model)
-    def evaluate_batch(engine, examples):
-        predictions, loss = process_batch(examples)
-        return dict(
-            examples=examples,
-            predictions=predictions.cpu().detach(),
-            loss=loss,
-        )
-
-    evaluate_data_loaders = {
-        f'evaluate_{name}': datastream.data_loader(
-            batch_size=config['eval_batch_size'],
-            num_workers=config['n_workers'],
-            collate_fn=tuple,
-        )
-        for name, datastream in datastream.evaluate_datastreams().items()
-    }
-
-    trainer, evaluators, tensorboard_logger = workflow.ignite.trainer(
-        train_batch,
-        evaluate_batch,
-        evaluate_data_loaders,
-        metrics=dict(
-            progress=metrics.progress_metrics(),
-            train=metrics.train_metrics(),
-            **{
-                name: metrics.evaluate_metrics()
-                for name in evaluate_data_loaders.keys()
-            }
-        ),
-        optimizers=optimizer,
-    )
-
-    workflow.ignite.handlers.ModelScore(
-        lambda: -evaluators['evaluate_early_stopping'].state.metrics['loss'],
-        train_state,
-        {
-            name: metrics.evaluate_metrics()
-            for name in evaluate_data_loaders.keys()
-        },
-        tensorboard_logger,
-        config,
-    ).attach(trainer, evaluators)
-
-    tensorboard_logger.attach(
-        trainer,
-        log_examples('train', trainer),
-        ignite.engine.Events.EPOCH_COMPLETED,
-    )
-    tensorboard_logger.attach(
-        evaluators['evaluate_compare'],
-        log_examples('evaluate_compare', trainer),
-        ignite.engine.Events.EPOCH_COMPLETED,
-    )
-
-    if config.get('search_learning_rate', False):
-
-        def search(config):
-            def search_(step, multiplier):
-                return (
-                    step,
-                    (1 / config['minimum_learning_rate'])
-                    ** (step / config['n_batches'])
-                )
-            return search_
-
-        LearningRateScheduler(
-            optimizer,
-            search(config),
-        ).attach(trainer)
-
-    else:
-        LearningRateScheduler(
-            optimizer,
-            starcompose(
-                warmup(150),
-                cyclical(length=500),
-            ),
-        ).attach(trainer)
-
-    trainer.run(
-        data=(
-            datastream.GradientDatastream()
-            .data_loader(
-                batch_size=config['batch_size'],
-                num_workers=config['n_workers'],
-                n_batches_per_epoch=config['n_batches_per_epoch'],
-                worker_init_fn=partial(worker_init, config['seed'], trainer),
-                collate_fn=tuple,
-            )
-        ),
-        max_epochs=config['max_epochs'],
-    )
diff --git a/test_template.sh b/test_template.sh
index df6b3f7..ad9c9f6 100755
--- a/test_template.sh
+++ b/test_template.sh
@@ -1,19 +1,22 @@
 #!/usr/bin/env bash
 set -o errexit -o nounset -o pipefail -o xtrace
 
+rm dist/workflow-0.0.0-py3-none-any.whl
+poetry build
 cd test_template
+poetry remove workflow
+poetry install --remove-untracked
+poetry add ../dist/workflow-0.0.0-py3-none-any.whl
 shopt -s extglob 
 rm -rf .github
-rm -rf !(venv)
-source venv/bin/activate
+rm -rf !(pyproject.toml)
 echo "repository
 package
 0.1.0
 project description
-y" | python -m workflow.setup_project
-guild run prepare -y
-guild run search_lr n_batches=10 -y
-guild run train max_epochs=2 n_batches_per_epoch=2 -y
-guild run retrain max_epochs=1 n_batches_per_epoch=1 -y
-guild run evaluate -y
-deactivate
+y" | poetry run python -m workflow.setup_project
+poetry run guild run prepare -y
+poetry run guild run search_lr n_batches=10 -y
+poetry run guild run train max_epochs=2 n_batches_per_epoch=2 -y
+poetry run guild run retrain max_epochs=1 n_batches_per_epoch=1 -y
+poetry run guild run evaluate -y
diff --git a/workflow/__init__.py b/workflow/__init__.py
index caa481d..1b477d6 100644
--- a/workflow/__init__.py
+++ b/workflow/__init__.py
@@ -1,8 +1,10 @@
+from workflow import functional
+
 from workflow.figure_to_numpy import figure_to_numpy
 from workflow.numpy_seed import numpy_seed
+from workflow.progress_bar import ProgressBar
+from workflow.early_stopping import EarlyStopping
 
-from workflow import functional
-from workflow import ignite
 from workflow import torch
 
 from pkg_resources import get_distribution, DistributionNotFound
diff --git a/workflow/early_stopping.py b/workflow/early_stopping.py
new file mode 100644
index 0000000..5d0a983
--- /dev/null
+++ b/workflow/early_stopping.py
@@ -0,0 +1,8 @@
+
+
+# TODO
+class EarlyStopping:
+    scores_since_improvement = 0
+
+    def score(self, tensorboard_logger):
+        return self
diff --git a/workflow/functional/__init__.py b/workflow/functional/__init__.py
index 17d7cbf..d0e4ceb 100644
--- a/workflow/functional/__init__.py
+++ b/workflow/functional/__init__.py
@@ -1,5 +1,3 @@
-from .interleaved import interleaved
-from .repeat_map_chain import repeat_map_chain
-from .star import star
-from .starcompose import starcompose
-from .structure_map import structure_map
+from workflow.functional.star import star
+from workflow.functional.starcompose import starcompose
+from workflow.functional.structure_map import structure_map
diff --git a/workflow/functional/interleaved.py b/workflow/functional/interleaved.py
deleted file mode 100644
index 6187634..0000000
--- a/workflow/functional/interleaved.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from itertools import chain
-
-from workflow.functional.starcompose import starcompose
-
-
-interleaved = starcompose(
-    tuple,
-    zip,
-    chain.from_iterable,
-)
-
-
-def test_interleaved():
-    from itertools import repeat
-
-    test = interleaved([range(3)])
-    if list(test) != [0, 1, 2]:
-        raise Exception('Interleave with single iterator failed')
-
-    test = interleaved([
-        range(3),
-        range(5)
-    ])
-
-    if list(test) != [0, 0, 1, 1, 2, 2]:
-        raise Exception('Interleave with different lengths failed')
-
-    if list(test) != []:
-        raise Exception('Expected generator to be exhausted')
diff --git a/workflow/functional/repeat_map_chain.py b/workflow/functional/repeat_map_chain.py
deleted file mode 100644
index f10cc2f..0000000
--- a/workflow/functional/repeat_map_chain.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from itertools import repeat, chain
-from functools import partial
-
-from workflow.functional.starcompose import starcompose
-
-
-def mk_repeat_map_chain(fn):
-    return starcompose(
-        repeat,
-        partial(map, fn),
-        chain.from_iterable,
-    )
-
-
-def repeat_map_chain(fn, iterable):
-    return mk_repeat_map_chain(fn)(iterable)
diff --git a/workflow/ignite/__init__.py b/workflow/ignite/__init__.py
deleted file mode 100644
index 9bbfc95..0000000
--- a/workflow/ignite/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from workflow.ignite import handlers
-from workflow.ignite import decorators
-
-from workflow.ignite.worker_init import worker_init
-from workflow.ignite.trainer import trainer
-from workflow.ignite.evaluator import evaluator
diff --git a/workflow/ignite/evaluator.py b/workflow/ignite/evaluator.py
deleted file mode 100644
index 5540c4f..0000000
--- a/workflow/ignite/evaluator.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from ignite.engine import Engine, Events
-from ignite.contrib.handlers.tensorboard_logger import (
-    TensorboardLogger, OutputHandler
-)
-
-from workflow.ignite.handlers import (
-    MetricsLogger,
-    ProgressBar,
-)
-
-
-def evaluator(evaluate_batch, description, metrics, tensorboard_logger):
-    engine = Engine(evaluate_batch)
-
-    for metric_name, metric in metrics.items():
-        metric.attach(engine, metric_name)
-
-    metric_names = list(metrics.keys())
-
-    ProgressBar(desc=description).attach(engine)
-    MetricsLogger(description).attach(engine, metric_names)
-    tensorboard_logger.attach(
-        engine,
-        OutputHandler(
-            tag=description,
-            metric_names=metric_names,
-        ),
-        Events.EPOCH_COMPLETED,
-    )
-
-    return engine
diff --git a/workflow/ignite/handlers/__init__.py b/workflow/ignite/handlers/__init__.py
deleted file mode 100644
index 83b8ece..0000000
--- a/workflow/ignite/handlers/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from workflow.ignite.handlers import learning_rate
-
-from workflow.ignite.handlers.early_stopping import EarlyStopping
-from workflow.ignite.handlers.epoch_logger import EpochLogger
-from workflow.ignite.handlers.model_checkpoint import ModelCheckpoint
-from workflow.ignite.handlers.metrics_logger import MetricsLogger
-from workflow.ignite.handlers.progress_bar import ProgressBar
-from workflow.ignite.handlers.model_score import ModelScore
-from workflow.ignite.handlers.best_model_trigger import BestModelTrigger
diff --git a/workflow/ignite/handlers/best_model_trigger.py b/workflow/ignite/handlers/best_model_trigger.py
deleted file mode 100644
index b13731b..0000000
--- a/workflow/ignite/handlers/best_model_trigger.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from enum import Enum
-from ignite.engine import (
-    Events,
-    EventEnum,
-)
-import numpy as np
-
-
-class CustomEvents(EventEnum):
-    NEW_BEST_MODEL = 'new_best_model'
-
-
-class BestModelTrigger:
-    Event = CustomEvents.NEW_BEST_MODEL
-
-    def __init__(self, metric_name, extra_triggered_engines=[]):
-        self.best_score = -np.inf
-        self.extra_triggered_engines = extra_triggered_engines
-        self.metric_name = metric_name
-
-        for engine in extra_triggered_engines:
-            engine.register_events(
-                CustomEvents.NEW_BEST_MODEL,
-                event_to_attr={CustomEvents.NEW_BEST_MODEL: 'new_best_model'}
-            )
-
-    def _check_new_best_model(self, engine):
-        score = engine.state.metrics[self.metric_name]
-        if score > self.best_score:
-            self.best_score = score
-
-            engine.fire_event(CustomEvents.NEW_BEST_MODEL)
-
-            for trigger_engine in self.extra_triggered_engines:
-                trigger_engine.fire_event(CustomEvents.NEW_BEST_MODEL)
-
-    def attach(self, engine):
-        engine.register_events(
-            CustomEvents.NEW_BEST_MODEL,
-            event_to_attr={CustomEvents.NEW_BEST_MODEL: 'new_best_model'}
-        )
-
-        engine.add_event_handler(
-            Events.EPOCH_COMPLETED,
-            lambda engine: self._check_new_best_model(engine)
-        )
diff --git a/workflow/ignite/handlers/early_stopping.py b/workflow/ignite/handlers/early_stopping.py
deleted file mode 100644
index 4866d10..0000000
--- a/workflow/ignite/handlers/early_stopping.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from tqdm import tqdm
-import ignite
-from ignite.engine import Events
-
-
-class EarlyStopping:
-    def __init__(self, model_score_function, trainer, config):
-        self.early_stopping_handler = ignite.handlers.EarlyStopping(
-            patience=config['patience'],
-            score_function=model_score_function,
-            trainer=trainer,
-        )
-
-    def attach(self, engine):
-        engine.add_event_handler(
-            Events.EPOCH_COMPLETED, self.early_stopping_handler
-        )
-
-        engine.add_event_handler(
-            Events.EPOCH_COMPLETED,
-            self._print_status,
-        )
-
-    def _print_status(self, engine):
-        epochs_until_stop = (
-            self.early_stopping_handler.patience - self.early_stopping_handler.counter
-        )
-        tqdm.write(
-            f'best score so far: {self.early_stopping_handler.best_score:.4f}'
-            f' (stopping in {epochs_until_stop:.0f} epochs)\n'
-        )
diff --git a/workflow/ignite/handlers/epoch_logger.py b/workflow/ignite/handlers/epoch_logger.py
deleted file mode 100644
index 26f5608..0000000
--- a/workflow/ignite/handlers/epoch_logger.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from tqdm import tqdm
-from ignite.engine import Events
-
-
-def get_epoch_text(epoch, max_epochs):
-    return f'------ epoch: {epoch} / {max_epochs} ------'
-
-
-class EpochLogger:
-    def attach(self, engine):
-        engine.add_event_handler(
-            Events.EPOCH_STARTED,
-            lambda engine: tqdm.write(
-                get_epoch_text(engine.state.epoch, engine.state.max_epochs)
-            )
-        )
diff --git a/workflow/ignite/handlers/learning_rate/__init__.py b/workflow/ignite/handlers/learning_rate/__init__.py
deleted file mode 100644
index 952ccb6..0000000
--- a/workflow/ignite/handlers/learning_rate/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from .cyclical import cyclical
-from .decay import decay
-from .learning_rate_scheduler import LearningRateScheduler
-from .warmup import warmup
-from .zero_warmup import zero_warmup
diff --git a/workflow/ignite/handlers/learning_rate/cyclical.py b/workflow/ignite/handlers/learning_rate/cyclical.py
deleted file mode 100644
index 301951a..0000000
--- a/workflow/ignite/handlers/learning_rate/cyclical.py
+++ /dev/null
@@ -1,17 +0,0 @@
-
-
-def cyclical(length=100, relative_min=0.1):
-    '''Also known as triangular, https://arxiv.org/pdf/1506.01186.pdf'''
-
-    half = length / 2
-    def _cyclical(step, multiplier):
-        return (
-            step,
-            multiplier * (
-                relative_min + (1 - relative_min) * abs(
-                    ((step - 1) % length - half)
-                    / (half - 1)
-                )
-            )
-        )
-    return _cyclical
diff --git a/workflow/ignite/handlers/learning_rate/decay.py b/workflow/ignite/handlers/learning_rate/decay.py
deleted file mode 100644
index e4b1674..0000000
--- a/workflow/ignite/handlers/learning_rate/decay.py
+++ /dev/null
@@ -1,9 +0,0 @@
-
-
-def decay(base):
-    def _decay(step, multiplier):
-        return (
-            step,
-            multiplier * base ** (step - 1)
-        )
-    return _decay
diff --git a/workflow/ignite/handlers/learning_rate/learning_rate_scheduler.py b/workflow/ignite/handlers/learning_rate/learning_rate_scheduler.py
deleted file mode 100644
index f107201..0000000
--- a/workflow/ignite/handlers/learning_rate/learning_rate_scheduler.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from ignite.engine import Events
-from ignite.contrib.handlers.param_scheduler import LRScheduler
-from torch.optim.lr_scheduler import LambdaLR
-
-
-class LearningRateScheduler(LRScheduler):
-    def __init__(self, optimizer, multiplicative_fn):
-        '''
-        Usage:
-
-        LearningRateScheduler(
-            optimizer,
-            starcompose(
-                warmup(n_steps=100),
-                cyclical(length=50, relative_minimum=0.1),
-                decay(0.97),
-            )
-        ).attach(trainer)
-        '''
-        self.multiplicative_fn = multiplicative_fn
-        super().__init__(
-            LambdaLR(optimizer, self.learning_rate)
-        )
-
-    def learning_rate(self, step):
-        _, learning_rate = self.multiplicative_fn(step, 1)
-        return learning_rate
-
-    def attach(self, trainer):
-        trainer.add_event_handler(Events.ITERATION_STARTED, self.__call__)
diff --git a/workflow/ignite/handlers/learning_rate/warmup.py b/workflow/ignite/handlers/learning_rate/warmup.py
deleted file mode 100644
index 0d7fa33..0000000
--- a/workflow/ignite/handlers/learning_rate/warmup.py
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-def warmup(n_steps):
-    def _warmup(step, multiplier):
-        if step == 0:
-            return (0, 0.)
-        elif step <= n_steps:
-            return (1, (step - 1) / n_steps)
-        else:
-            return (step - n_steps, multiplier)
-    return _warmup
diff --git a/workflow/ignite/handlers/learning_rate/zero_warmup.py b/workflow/ignite/handlers/learning_rate/zero_warmup.py
deleted file mode 100644
index 9b44a9a..0000000
--- a/workflow/ignite/handlers/learning_rate/zero_warmup.py
+++ /dev/null
@@ -1,9 +0,0 @@
-
-
-def zero_warmup(n_steps):
-    def _zero_warmup(step, multiplier):
-        if step <= n_steps:
-            return (1, 0.)
-        else:
-            return (step - n_steps, multiplier)
-    return _zero_warmup
diff --git a/workflow/ignite/handlers/metrics_logger.py b/workflow/ignite/handlers/metrics_logger.py
deleted file mode 100644
index d15a998..0000000
--- a/workflow/ignite/handlers/metrics_logger.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from tqdm import tqdm
-from ignite.engine import Events
-
-from workflow.torch.is_float import is_float
-
-
-class MetricsLogger:
-    def __init__(self, name):
-        self.name = name
-
-    def attach(self, engine, metric_names):
-        engine.add_event_handler(
-            Events.EPOCH_COMPLETED,
-            lambda engine: self._print(engine, metric_names)
-        )
-
-    def _print(self, engine, metric_names):
-        if len(engine.state.metrics) >= 1:
-            tqdm.write(f'{self.name}:')
-            
-            target_len = max(map(len, metric_names))
-            for metric_name in metric_names:
-                value = engine.state.metrics.get(metric_name, None)
-
-                if value is not None:
-                    
-                    padding = ' ' * (target_len - len(metric_name))
-                    if hasattr(value, '__len__'):
-                        tqdm.write(f'  {metric_name}:')
-                        tqdm.write(str(value))
-                    elif is_float(value):
-                        if abs(value) > 1e-4 or value == 0:
-                            tqdm.write(
-                                f'  {metric_name}:{padding} {value:.4f}'
-                            )
-                        else:
-                            tqdm.write(
-                                f'  {metric_name}:{padding} {value:.4e}'
-                            )
-                    else:
-                        tqdm.write(f'  {metric_name}:{padding} {value}')
diff --git a/workflow/ignite/handlers/model_checkpoint.py b/workflow/ignite/handlers/model_checkpoint.py
deleted file mode 100644
index 9bc0de8..0000000
--- a/workflow/ignite/handlers/model_checkpoint.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import os
-import torch
-import numpy as np
-import ignite
-from ignite.engine import Events
-
-
-class ModelCheckpoint:
-    dirname = 'checkpoints'
-    filename_prefix = 'model'
-
-    def __init__(self, model_score_function=None):
-        self.model_checkpoint = ignite.handlers.ModelCheckpoint(
-            dirname=self.dirname,
-            filename_prefix=self.filename_prefix,
-            score_function=model_score_function,
-            n_saved=1,
-            require_empty=False,
-        )
-
-    def attach(self, engine, *args, **kwargs):
-        engine.add_event_handler(
-            Events.EPOCH_COMPLETED,
-            self.model_checkpoint,
-            *args,
-            **kwargs,
-        )
-
-    @staticmethod
-    def load(
-        to_load,
-        dirname=None,
-        device=None,
-        suffix=None,
-    ):
-        if dirname is None:
-            dirname = ModelCheckpoint.dirname
-
-        models = os.listdir(dirname)
-        if suffix is None:
-            suffixes = [
-                '_'.join(
-                    os.path.splitext(name)[0]
-                    .lstrip(ModelCheckpoint.filename_prefix)
-                    .split('_')[2:]
-                )
-                for name in models
-            ]
-            suffix = suffixes[np.argmax([float(s.split('_')[-1]) for s in suffixes])]
-
-        saved_checkpoint_state = torch.load(
-            f'{dirname}/{ModelCheckpoint.filename_prefix}_checkpoint_{suffix}.pt',
-            map_location=device,
-        )
-
-        for name, module_or_optimizer in to_load.items():
-            module_or_optimizer.load_state_dict(
-                saved_checkpoint_state[name]
-            )
-
-        return suffix
diff --git a/workflow/ignite/handlers/model_score.py b/workflow/ignite/handlers/model_score.py
deleted file mode 100644
index 71f9f6d..0000000
--- a/workflow/ignite/handlers/model_score.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import ignite
-from ignite.engine import Events
-from ignite.contrib.handlers.tensorboard_logger import OutputHandler
-
-from workflow.ignite.metrics import ReduceMetricsLambda
-from workflow.ignite.handlers.early_stopping import EarlyStopping
-from workflow.ignite.handlers.model_checkpoint import ModelCheckpoint
-from workflow.ignite.handlers.best_model_trigger import BestModelTrigger
-
-
-class ModelScore:
-    def __init__(
-        self,
-        model_score_function,
-        checkpoint_state,
-        evaluator_metrics,
-        tensorboard_logger,
-        config,
-    ):
-        '''
-        Model score brings together several handlers related to model score.
-        - model checkpoint
-        - early stopping
-        - tensorboard logging
-        - best model event
-        '''
-
-        self.model_score_function = model_score_function
-        self.checkpoint_state = checkpoint_state
-        self.evaluator_metrics = evaluator_metrics
-        self.tensorboard_logger = tensorboard_logger
-        self.config = config
-
-    def attach(self, trainer, evaluators):
-        def _model_score_function(*args, **kwargs):
-            return self.model_score_function()
-
-        ignite.metrics.MetricsLambda(_model_score_function).attach(trainer, 'model_score')
-        ReduceMetricsLambda(max, _model_score_function).attach(trainer, 'best_model_score')
-
-        training_desc = 'train'
-        self.tensorboard_logger.attach(
-            trainer,
-            OutputHandler(
-                tag=training_desc,
-                metric_names=['model_score', 'best_model_score'],
-            ),
-            Events.EPOCH_COMPLETED,
-        )
-
-        BestModelTrigger('model_score', evaluators.values()).attach(trainer)
-
-        for evaluator_desc, evaluator in evaluators.items():
-            evaluator_metric_names = list(
-                self.evaluator_metrics[evaluator_desc].keys()
-            )
-            self.tensorboard_logger.attach(
-                evaluator,
-                OutputHandler(
-                    tag=f'best-{evaluator_desc}',
-                    metric_names=evaluator_metric_names,
-                    global_step_transform=lambda *args: trainer.state.epoch,
-                ),
-                BestModelTrigger.Event,
-            )
-
-        ModelCheckpoint(_model_score_function).attach(
-            trainer, self.checkpoint_state
-        )
-
-        EarlyStopping(
-            _model_score_function, trainer, self.config
-        ).attach(trainer)
diff --git a/workflow/ignite/handlers/progress_bar.py b/workflow/ignite/handlers/progress_bar.py
deleted file mode 100644
index ed1a5b4..0000000
--- a/workflow/ignite/handlers/progress_bar.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import ignite
-
-
-class ProgressBar(ignite.contrib.handlers.tqdm_logger.ProgressBar):
-    def __init__(self, desc, *args, **kwargs):
-        kwargs['smoothing'] = kwargs.get('smoothing', .0)
-        super().__init__(
-            *args,
-            **kwargs,
-            desc=desc,
-            bar_format=(
-                '{desc} {percentage:3.0f}%|{bar} {n_fmt}/{total}{postfix} '
-                '[{elapsed}<{remaining} {rate_fmt}]'
-            ),
-        )
diff --git a/workflow/ignite/metrics/__init__.py b/workflow/ignite/metrics/__init__.py
deleted file mode 100644
index 1613d6e..0000000
--- a/workflow/ignite/metrics/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from .matthews_correlation_coefficient import MatthewsCorrelationCoefficient
-from .reduce_metrics_lambda import ReduceMetricsLambda
diff --git a/workflow/ignite/metrics/matthews_correlation_coefficient.py b/workflow/ignite/metrics/matthews_correlation_coefficient.py
deleted file mode 100644
index 0b4eca7..0000000
--- a/workflow/ignite/metrics/matthews_correlation_coefficient.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import torch
-
-from ignite.metrics import (
-    ConfusionMatrix,
-    MetricsLambda,
-)
-
-
-def _matthews_correlation_coefficient(confusion_matrix):
-    [[tp, fp], [fn, tn]] = confusion_matrix.float()
-
-    if all([
-        0 < tp + fp,
-        0 < tp + fn,
-        0 < tn + fp,
-        0 < tn + fn,
-    ]):
-        return (
-            (tp * tn - fp * fn)
-                / torch.sqrt((tp + fp) * (tp + fn) * (tn + fp) * (tn + fn))
-        )
-    else:
-        return torch.tensor(0.)
-
-def MatthewsCorrelationCoefficient(output_transform):
-    return MetricsLambda(
-        _matthews_correlation_coefficient,
-        ConfusionMatrix(num_classes=2, output_transform=output_transform)
-    )
diff --git a/workflow/ignite/metrics/reduce_metrics_lambda.py b/workflow/ignite/metrics/reduce_metrics_lambda.py
deleted file mode 100644
index 9e771f0..0000000
--- a/workflow/ignite/metrics/reduce_metrics_lambda.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import numpy as np
-from ignite.metrics import MetricsLambda
-
-
-class ReduceMetricsLambda(MetricsLambda):
-    def __init__(self, reduce_fn, f, *args, **kwargs):
-        super().__init__(f, *args, **kwargs)
-        self.reduce_fn = reduce_fn
-        self.reduced_value = None
-
-    def compute(self):
-        value = super().compute()
-        if self.reduced_value is None:
-            self.reduced_value = value
-        else:
-            self.reduced_value = self.reduce_fn(self.reduced_value, value)
-
-        return self.reduced_value
diff --git a/workflow/ignite/trainer.py b/workflow/ignite/trainer.py
deleted file mode 100644
index e023e64..0000000
--- a/workflow/ignite/trainer.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import ignite
-from ignite.engine import Events
-from ignite.contrib.handlers.tensorboard_logger import (
-    TensorboardLogger, OutputHandler, OptimizerParamsHandler, global_step_from_engine
-)
-
-from workflow.ignite.handlers.epoch_logger import EpochLogger
-from workflow.ignite.handlers.metrics_logger import MetricsLogger
-from workflow.ignite.handlers.progress_bar import ProgressBar
-
-
-PROGRESS_DESC = 'progress'
-TRAIN_DESC = 'train'
-
-
-def trainer(
-    train_batch,
-    evaluate_batch,
-    evaluate_data_loaders,
-    metrics,
-    optimizers,
-):
-    '''
-    Create standard trainer with evaluators.
-
-    Parameters
-    ----------
-    train_batch : function
-        function that trains on given batch
-    evaluate_batch : function
-        function that evaluates a given batch
-    evaluate_data_loaders: list
-        data loaders that yield batches to evaluate on
-    metrics : dict
-        dict with one dict each for 'train' and evaluate data loader. Wrap a
-        metric with trainer.Progress to show in progress bar.
-    optimizers : dict
-        dict with optimizers for logging
-
-    Returns
-    -------
-    tuple
-        trainer engine
-        list of evaluator engines
-        tensorboard logger
-    '''
-
-    trainer = ignite.engine.Engine(train_batch)
-
-    for name, metric in metrics.get(PROGRESS_DESC, dict()).items():
-        metric.attach(trainer, name)
-
-    for name, metric in metrics.get(TRAIN_DESC, dict()).items():
-        metric.attach(trainer, name)
-
-    evaluators = {
-        evaluator_name: ignite.engine.Engine(evaluate_batch)
-        for evaluator_name in evaluate_data_loaders.keys()
-    }
-
-    for evaluator_name, evaluator in evaluators.items():
-        for metric_name, metric in metrics[evaluator_name].items():
-            metric.attach(evaluator, metric_name)
-
-    tensorboard_logger = TensorboardLogger(log_dir='tb')
-
-    EpochLogger().attach(trainer)
-
-    # Order of attaching progress bars is important for vscode / atom
-    ProgressBar(desc=TRAIN_DESC).attach(
-        trainer, metric_names=list(metrics.get(PROGRESS_DESC, dict()).keys())
-    )
-    tensorboard_logger.attach(
-        trainer,
-        OutputHandler(
-            tag=PROGRESS_DESC,
-            metric_names=list(metrics.get(PROGRESS_DESC, dict()).keys()),
-        ),
-        Events.ITERATION_COMPLETED,
-    )
-
-    MetricsLogger(TRAIN_DESC).attach(
-        trainer, metrics.get(TRAIN_DESC, dict()).keys()
-    )
-    tensorboard_logger.attach(
-        trainer,
-        OutputHandler(
-            tag=TRAIN_DESC,
-            metric_names=list(metrics.get(TRAIN_DESC, dict()).keys()),
-        ),
-        Events.ITERATION_COMPLETED,
-    )
-
-
-    def run_evaluator(evaluator_desc):
-        return lambda engine: evaluators[evaluator_desc].run(
-            evaluate_data_loaders[evaluator_desc]
-        )
-
-
-    for evaluator_desc, evaluator in evaluators.items():
-        evaluator_metric_names = list(metrics[evaluator_desc].keys())
-
-        trainer.add_event_handler(
-            Events.EPOCH_COMPLETED, run_evaluator(evaluator_desc),
-        )
-
-        ProgressBar(desc=evaluator_desc).attach(evaluator)
-        MetricsLogger(evaluator_desc).attach(evaluator, evaluator_metric_names)
-        tensorboard_logger.attach(
-            evaluator,
-            OutputHandler(
-                tag=evaluator_desc,
-                metric_names=evaluator_metric_names,
-                global_step_transform=global_step_from_engine(trainer),
-            ),
-            Events.EPOCH_COMPLETED,
-        )
-
-    if type(optimizers) is not dict:
-        optimizers = dict(optimizer=optimizers)
-
-    for name, optimizer in optimizers.items():
-        tensorboard_logger.attach(
-            trainer,
-            log_handler=OptimizerParamsHandler(
-                tag=f'{TRAIN_DESC}/{name}',
-                param_name='lr',
-                optimizer=optimizer,
-            ),
-            event_name=Events.ITERATION_COMPLETED,
-        )
-
-    return trainer, evaluators, tensorboard_logger
diff --git a/workflow/json.py b/workflow/json.py
deleted file mode 100644
index 4b10ea5..0000000
--- a/workflow/json.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import json
-
-
-def read(filepath):
-    with open(filepath, 'r') as file:
-        return json.load(file)
-
-
-def write(obj, filepath):
-    with open(filepath, 'w') as file:
-        return json.dump(obj, file, indent=4)
diff --git a/workflow/progress_bar.py b/workflow/progress_bar.py
new file mode 100644
index 0000000..7cc7dca
--- /dev/null
+++ b/workflow/progress_bar.py
@@ -0,0 +1,6 @@
+from tqdm import tqdm
+
+
+# TODO
+def ProgressBar(data_loader, metrics=None):
+    return tqdm(data_loader)
diff --git a/workflow/setup_project.py b/workflow/setup_project.py
index 882dc71..7bb5a17 100644
--- a/workflow/setup_project.py
+++ b/workflow/setup_project.py
@@ -6,15 +6,14 @@
 
 
 if __name__ == '__main__':
+    print(__file__ + '/template')
     try:
         repository_path = cookiecutter(
-            '/'.join(__file__.split('/')[:-5]) + '/workflow/template',
-        )
-    except RepositoryNotFound:
-        # Probably installed with the -e flag
-        repository_path = cookiecutter(
-            '/'.join(__file__.split('/')[:-2]) + '/template',
+            str(Path(__file__).parent / 'template')
         )
+    except RepositoryNotFound as exception:
+        print('__file__:', __file__)
+        raise exception
     
     repository_path = Path(repository_path)
 
diff --git a/template/cookiecutter.json b/workflow/template/cookiecutter.json
similarity index 100%
rename from template/cookiecutter.json
rename to workflow/template/cookiecutter.json
diff --git a/template/{{cookiecutter.repository_name}}/.github/workflows/publish.yml b/workflow/template/{{cookiecutter.repository_name}}/.github/workflows/publish.yml
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/.github/workflows/publish.yml
rename to workflow/template/{{cookiecutter.repository_name}}/.github/workflows/publish.yml
diff --git a/template/{{cookiecutter.repository_name}}/.github/workflows/test.yml b/workflow/template/{{cookiecutter.repository_name}}/.github/workflows/test.yml
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/.github/workflows/test.yml
rename to workflow/template/{{cookiecutter.repository_name}}/.github/workflows/test.yml
diff --git a/template/{{cookiecutter.repository_name}}/.gitignore b/workflow/template/{{cookiecutter.repository_name}}/.gitignore
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/.gitignore
rename to workflow/template/{{cookiecutter.repository_name}}/.gitignore
diff --git a/template/{{cookiecutter.repository_name}}/README.rst b/workflow/template/{{cookiecutter.repository_name}}/README.rst
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/README.rst
rename to workflow/template/{{cookiecutter.repository_name}}/README.rst
diff --git a/template/{{cookiecutter.repository_name}}/guild.yml b/workflow/template/{{cookiecutter.repository_name}}/guild.yml
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/guild.yml
rename to workflow/template/{{cookiecutter.repository_name}}/guild.yml
diff --git a/template/{{cookiecutter.repository_name}}/operations/evaluate.py b/workflow/template/{{cookiecutter.repository_name}}/operations/evaluate.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/operations/evaluate.py
rename to workflow/template/{{cookiecutter.repository_name}}/operations/evaluate.py
diff --git a/template/{{cookiecutter.repository_name}}/operations/prepare.py b/workflow/template/{{cookiecutter.repository_name}}/operations/prepare.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/operations/prepare.py
rename to workflow/template/{{cookiecutter.repository_name}}/operations/prepare.py
diff --git a/template/{{cookiecutter.repository_name}}/operations/search_lr.py b/workflow/template/{{cookiecutter.repository_name}}/operations/search_lr.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/operations/search_lr.py
rename to workflow/template/{{cookiecutter.repository_name}}/operations/search_lr.py
diff --git a/template/{{cookiecutter.repository_name}}/operations/train.py b/workflow/template/{{cookiecutter.repository_name}}/operations/train.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/operations/train.py
rename to workflow/template/{{cookiecutter.repository_name}}/operations/train.py
diff --git a/workflow/template/{{cookiecutter.repository_name}}/pyproject.toml b/workflow/template/{{cookiecutter.repository_name}}/pyproject.toml
new file mode 100644
index 0000000..beaa2d1
--- /dev/null
+++ b/workflow/template/{{cookiecutter.repository_name}}/pyproject.toml
@@ -0,0 +1,24 @@
+[tool.poetry]
+name = "{{cookiecutter.repository_name}}"
+version = "{{cookiecutter.package_version}}"
+description = "{{cookiecutter.package_description}}"
+authors = ["Aiwizo AB"]
+
+[tool.poetry.dependencies]
+python = "^3.8"
+torch = "^1.6.0"
+numpy = "^1.19.2"
+torchvision = "^0.8.1"
+opencv-python = "^4.4.0"
+ml-workflow = "^0.8.2"
+pytorch-datastream = "^0.3.8"
+
+[tool.poetry.dev-dependencies]
+guildai = "0.7.1.dev6"
+data-kale = "^0.1.3"
+pylint = "^2.6.0"
+flake8 = "^3.8.4"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/template/{{cookiecutter.repository_name}}/pytest.ini b/workflow/template/{{cookiecutter.repository_name}}/pytest.ini
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/pytest.ini
rename to workflow/template/{{cookiecutter.repository_name}}/pytest.ini
diff --git a/template/{{cookiecutter.repository_name}}/setup.cfg b/workflow/template/{{cookiecutter.repository_name}}/setup.cfg
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/setup.cfg
rename to workflow/template/{{cookiecutter.repository_name}}/setup.cfg
diff --git a/setup.py b/workflow/template/{{cookiecutter.repository_name}}/setup.py
similarity index 100%
rename from setup.py
rename to workflow/template/{{cookiecutter.repository_name}}/setup.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/__init__.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/__init__.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/__init__.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/__init__.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/__init__.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/__init__.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/__init__.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/__init__.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/feature.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/feature.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/feature.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/feature.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/model.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/model.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/model.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/model.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/prediction.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/prediction.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/prediction.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/architecture/prediction.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/augmenter.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/augmenter.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/augmenter.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/augmenter.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/datasets.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/datasets.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/datasets.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/datasets.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/evaluate_datastreams.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/evaluate_datastreams.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/evaluate_datastreams.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/evaluate_datastreams.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/gradient_datastream.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/gradient_datastream.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/gradient_datastream.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/gradient_datastream.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/log_examples.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/log_examples.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/log_examples.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/log_examples.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/metrics.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/metrics.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/metrics.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/metrics.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/__init__.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/__init__.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/__init__.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/__init__.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/datasets.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/datasets.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/datasets.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/datasets.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/example.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/example.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/example.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/example.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/settings.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/settings.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/settings.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/problem/settings.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/splits/.gitignore b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/splits/.gitignore
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/splits/.gitignore
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/splits/.gitignore
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/__init__.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/__init__.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/__init__.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/__init__.py
diff --git a/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/text_.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/text_.py
similarity index 100%
rename from template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/text_.py
rename to workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/tools/text_.py
diff --git a/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py
new file mode 100644
index 0000000..6bca6ab
--- /dev/null
+++ b/workflow/template/{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/train.py
@@ -0,0 +1,107 @@
+from functools import partial
+from pathlib import Path
+import numpy as np
+import random
+import argparse
+import torch
+import torch.nn.functional as F
+import ignite
+import logging
+import workflow
+from workflow.functional import starcompose
+from workflow.torch import set_seeds
+from workflow.ignite import worker_init
+from workflow.ignite.handlers.learning_rate import (
+    LearningRateScheduler, warmup, cyclical
+)
+from datastream import Datastream
+
+from {{cookiecutter.package_name}} import (
+    datastream, architecture, metrics, log_examples
+)
+
+
+def train(config):
+    set_seeds(config['seed'])
+    device = torch.device('cuda' if config['use_cuda'] else 'cpu')
+
+    model = architecture.Model().to(device)
+    optimizer = torch.optim.Adam(
+        model.parameters(), lr=config['learning_rate']
+    )
+
+    train_state = dict(model=model, optimizer=optimizer)
+
+    if Path('model').exists():
+        print('Loading model checkpoint')
+        workflow.ignite.handlers.ModelCheckpoint.load(
+            train_state, 'model/checkpoints', device
+        )
+        workflow.torch.set_learning_rate(optimizer, config['learning_rate'])
+
+    evaluate_data_loaders = {
+        f'evaluate_{name}': datastream.data_loader(
+            batch_size=config['eval_batch_size'],
+            num_workers=config['n_workers'],
+            collate_fn=tuple,
+        )
+        for name, datastream in datastream.evaluate_datastreams().items()
+    }
+
+    gradient_data_loader = (
+        datastream.GradientDatastream()
+        .data_loader(
+            batch_size=config['batch_size'],
+            num_workers=config['n_workers'],
+            n_batches_per_epoch=config['n_batches_per_epoch'],
+            worker_init_fn=partial(worker_init, config['seed'], trainer),
+            collate_fn=tuple,
+        )
+    )
+
+    tensorboard_logger = torch.utils.tensorboard.SummaryWriter()
+    early_stopping = workflow.EarlyStopping()
+    # gradient_metrics = metrics.gradient_metrics()
+
+    for epoch in tqdm(range(config['max_epochs'])):
+
+        with workflow.torch.module_train(model):
+            for examples in workflow.ProgressBar(
+                gradient_data_loader
+                # gradient_data_loader, metrics=gradient_metrics[['loss']]
+            ):
+                predictions = model.predictions(
+                    architecture.FeatureBatch.from_examples(examples)
+                )
+                loss = predictions.loss(examples)
+                loss.backward()
+                optimizer.step()
+                optimizer.zero_grad()
+
+                # gradient_metrics = gradient_metrics.update(
+                #     examples, predictions, loss
+                # )
+                # gradient_metrics.log_()
+
+                # optional: schedule learning rate
+
+        with workflow.torch.module_eval(model), torch.no_grad:
+            for name, data_loader in evaluate_data_loaders:
+                # evaluate_metrics = metrics.evaluate_metrics()
+
+                for examples in tqdm(data_loader):
+                    predictions = model.predictions(
+                        architecture.FeatureBatch.from_examples(examples)
+                    )
+                    loss = predictions.loss(examples)
+
+                #     evaluate_metrics = evaluate_metrics.update(
+                #         examples, predictions, loss
+                #     )
+                # evaluate_metrics.log_()
+
+        early_stopping = early_stopping.score(tensorboard_logger)
+        if early_stopping.scores_since_improvement == 0:
+            torch.save(train_state, 'model_checkpoint.pt')
+        elif early_stopping.scores_since_improvement > patience:
+            break
diff --git a/workflow/torch/__init__.py b/workflow/torch/__init__.py
index 5e5f271..073bb54 100644
--- a/workflow/torch/__init__.py
+++ b/workflow/torch/__init__.py
@@ -1,7 +1,3 @@
-from workflow.torch.is_float import is_float
-from workflow.torch.get_conv_output_size import get_conv_output_size
-from workflow.torch.get_model_summary import get_model_summary
-from workflow.torch.initialize_weights import initialize_weights
 from workflow.torch.module_device import module_device
 from workflow.torch.module_compose import ModuleCompose
 from workflow.torch.to_device import to_device
diff --git a/workflow/ignite/decorators/__init__.py b/workflow/torch/decorators/__init__.py
similarity index 100%
rename from workflow/ignite/decorators/__init__.py
rename to workflow/torch/decorators/__init__.py
diff --git a/workflow/ignite/decorators/evaluate.py b/workflow/torch/decorators/evaluate.py
similarity index 100%
rename from workflow/ignite/decorators/evaluate.py
rename to workflow/torch/decorators/evaluate.py
diff --git a/workflow/ignite/decorators/step.py b/workflow/torch/decorators/step.py
similarity index 100%
rename from workflow/ignite/decorators/step.py
rename to workflow/torch/decorators/step.py
diff --git a/workflow/ignite/decorators/to_device.py b/workflow/torch/decorators/to_device.py
similarity index 100%
rename from workflow/ignite/decorators/to_device.py
rename to workflow/torch/decorators/to_device.py
diff --git a/workflow/ignite/decorators/train.py b/workflow/torch/decorators/train.py
similarity index 100%
rename from workflow/ignite/decorators/train.py
rename to workflow/torch/decorators/train.py
diff --git a/workflow/ignite/decorators/update_cpu_model.py b/workflow/torch/decorators/update_cpu_model.py
similarity index 100%
rename from workflow/ignite/decorators/update_cpu_model.py
rename to workflow/torch/decorators/update_cpu_model.py
diff --git a/workflow/torch/get_conv_output_size.py b/workflow/torch/get_conv_output_size.py
deleted file mode 100644
index 24ccd7b..0000000
--- a/workflow/torch/get_conv_output_size.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import torch.nn as nn
-
-
-def get_conv_output_size(input_size, layers):
-    size = input_size
-    for layer in layers:
-        if type(layer) in [nn.Conv2d, nn.MaxPool2d]:
-            size = get_layer_output_size(
-                size, layer.kernel_size, layer.padding,
-                layer.stride, layer.dilation
-            )
-    return size
-
-
-def get_layer_output_size(input_size, kernel_size, padding, stride, dilation):
-    if isinstance(kernel_size, int):
-        kernel_size = (kernel_size, kernel_size)
-    if isinstance(padding, int):
-        padding = (padding, padding)
-    if isinstance(stride, int):
-        stride = (stride, stride)
-    if isinstance(dilation, int):
-        dilation = (dilation, dilation)
-    return (
-        (
-            input_size[0] + 2 * padding[0]
-            - dilation[0] * (kernel_size[0] - 1) - 1
-        ) // stride[0] + 1,
-        (
-            input_size[1] + 2 * padding[1]
-            - dilation[1] * (kernel_size[1] - 1) - 1
-        ) // stride[1] + 1,
-    )
diff --git a/workflow/torch/get_model_summary.py b/workflow/torch/get_model_summary.py
deleted file mode 100644
index 283368e..0000000
--- a/workflow/torch/get_model_summary.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import pandas as pd
-
-
-def get_model_summary(model):
-    params_summary = pd.DataFrame(
-        [[n, p.numel()] for n, p in model.named_parameters()],
-        columns=['name', '# params']
-    )
-    num_params = params_summary['# params'].sum()
-    params_summary['# params'] = list(map('{:,}'.format,
-        params_summary['# params']))
-    return params_summary, num_params
diff --git a/workflow/torch/initialize_weights.py b/workflow/torch/initialize_weights.py
deleted file mode 100644
index 84f2ccf..0000000
--- a/workflow/torch/initialize_weights.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import torch
-
-
-def initialize_weights(model, init='xavier', keywords=['']):
-    for name, param in model.named_parameters():
-        if (
-            'weight' in name
-            and any(k in name for k in keywords)
-            and len(param.shape) > 1
-        ):
-            if init == 'xavier':
-                torch.nn.init.xavier_normal_(param)
-            elif init == 'kaiming':
-                torch.nn.init.kaiming_normal_(param)
diff --git a/workflow/torch/is_float.py b/workflow/torch/is_float.py
deleted file mode 100644
index 600750a..0000000
--- a/workflow/torch/is_float.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import numpy as np
-import torch
-
-
-def is_float(value):
-    return type(value) in [
-        float, np.float16, np.float32, np.float64, torch.float16,
-        torch.float32, torch.float64
-    ]
diff --git a/workflow/ignite/worker_init.py b/workflow/torch/worker_init.py
similarity index 100%
rename from workflow/ignite/worker_init.py
rename to workflow/torch/worker_init.py