1 files changed, 0 insertions, 34 deletions

diff --git a/models/convnext/discriminator.py b/models/convnext/discriminator.py
deleted file mode 100644
index 5798bcf..0000000
--- a/models/convnext/discriminator.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import torch
-from timm.models import ConvNeXt
-from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
-
-from torch.nn import functional as F
-
-
-class ConvNeXtDiscriminator:
-    def __init__(self, model: ConvNeXt, input_size: int) -> None:
-        self.net = model
-
-        self.input_size = input_size
-
-        self.img_mean = torch.tensor(IMAGENET_DEFAULT_MEAN).view(1, -1, 1, 1)
-        self.img_std = torch.tensor(IMAGENET_DEFAULT_STD).view(1, -1, 1, 1)
-
-    def get_score(self, img):
-        pred = self.get_all(img)
-        return torch.softmax(pred, dim=-1)[:, 1]
-
-    def get_all(self, img):
-        img_mean = self.img_mean.to(device=img.device, dtype=img.dtype)
-        img_std = self.img_std.to(device=img.device, dtype=img.dtype)
-
-        img = ((img + 1.0) / 2.0).sub(img_mean).div(img_std)
-
-        img = F.interpolate(
-            img,
-            size=(self.input_size, self.input_size),
-            mode="bicubic",
-            align_corners=True,
-        )
-        pred = self.net(img)
-        return pred