From e7b0b7ea67cb9a02e11ca18d370b3f814c519142 Mon Sep 17 00:00:00 2001
From: Katherine Fairchild <kvg0@mit.edu>
Date: Thu, 11 Jan 2024 10:14:46 -0500
Subject: [PATCH] Revert "brain-score.org (user:484) | Add new plugin(s):
 models: [regnet] " (#499)

---
 brainscore_vision/models/regnet/__init__.py | 14 --------------
 brainscore_vision/models/regnet/model.py    | 17 -----------------
 brainscore_vision/models/regnet/test.py     | 17 -----------------
 3 files changed, 48 deletions(-)
 delete mode 100644 brainscore_vision/models/regnet/__init__.py
 delete mode 100644 brainscore_vision/models/regnet/model.py
 delete mode 100644 brainscore_vision/models/regnet/test.py

diff --git a/brainscore_vision/models/regnet/__init__.py b/brainscore_vision/models/regnet/__init__.py
deleted file mode 100644
index 0c95e6360..000000000
--- a/brainscore_vision/models/regnet/__init__.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from brainscore_vision import model_registry
-from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
-from .model import get_model, LAYERS
-
-BIBTEX = """@inproceedings{radosavovic2020designing,
-  title={Designing network design spaces},
-  author={Radosavovic, Ilija and Kosaraju, Raj Prateek and Girshick, Ross and He, Kaiming and Doll{\'a}r, Piotr},
-  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
-  pages={10428--10436},
-  year={2020}
-}"""
-
-model_registry['regnet_y_400mf'] = lambda: ModelCommitment(
-    identifier='regnet_y_400mf', activations_model=get_model(), layers=LAYERS)
diff --git a/brainscore_vision/models/regnet/model.py b/brainscore_vision/models/regnet/model.py
deleted file mode 100644
index 4690dbcbd..000000000
--- a/brainscore_vision/models/regnet/model.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import functools
-
-import torchvision.models
-
-from brainscore_vision.model_helpers.activations.pytorch import PytorchWrapper
-from brainscore_vision.model_helpers.activations.pytorch import load_preprocess_images
-
-# these layer choices were not investigated in any depth, we blindly picked all high-level blocks
-LAYERS = ['trunk_output.block1', 'trunk_output.block2', 'trunk_output.block3', 'trunk_output.block4']
-
-
-def get_model():
-    model = torchvision.models.regnet_y_400mf(pretrained=True)
-    preprocessing = functools.partial(load_preprocess_images, image_size=224)
-    wrapper = PytorchWrapper(identifier='regnet_y_400mf', model=model, preprocessing=preprocessing)
-    wrapper.image_size = 224
-    return wrapper
diff --git a/brainscore_vision/models/regnet/test.py b/brainscore_vision/models/regnet/test.py
deleted file mode 100644
index ad9c5b3bf..000000000
--- a/brainscore_vision/models/regnet/test.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import logging
-import sys
-
-import pytest
-from pytest import approx
-
-from brainscore_vision import score
-
-logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
-
-
-@pytest.mark.travis_slow
-@pytest.mark.memory_intense
-def test_score():
-    actual_score = score(model_identifier="regnet_y_400mf", benchmark_identifier="MajajHong2015public.IT-pls",
-                         conda_active=True)
-    assert actual_score == approx(0.532, abs=0.0005)