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1.5.0
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actions-user committed Feb 10, 2022
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6 changes: 6 additions & 0 deletions CHANGELOG.md
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<!--next-version-placeholder-->

## v1.5.0 (2022-02-10)
### Feature
* Feature maps are now also considered, when checking for unproductive layers ([`ffb756b`](https://github.com/MLRichter/receptive_field_analysis_toolbox/commit/ffb756bbc2f6233482d072abbe433f13aef1ea0f))
* Feature maps are now also considered, when checking for unproductive layers ([`b43d7c4`](https://github.com/MLRichter/receptive_field_analysis_toolbox/commit/b43d7c4bcc593b094c71e3ee1a921f2a9f0523a6))
* Feature maps are now also considered, when checking for unproductive layers ([`425a87f`](https://github.com/MLRichter/receptive_field_analysis_toolbox/commit/425a87fd02f3541dee345daa61016af51d87f18a))

## v1.4.4 (2022-02-09)
### Fix
* Build fixed ([`4f9bf5e`](https://github.com/MLRichter/receptive_field_analysis_toolbox/commit/4f9bf5e7ef260a6271bfbf7e3d057712b6eecd61))
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "rfa_toolbox"
version = "1.4.4"
version = "1.5.0"
description = "A toolbox for analyzing the receptive field expansion in neural networks."
authors = ["Mats L. Richter <matrichter@uni-osnabrueck.de>"]
license = "MIT"
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2 changes: 1 addition & 1 deletion rfa_toolbox/__init__.py
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__version__ = "1.4.4"
__version__ = "1.5.0"
try:
# flake8: noqa: F401
from rfa_toolbox.encodings.pytorch.ingest_architecture import (
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