From 5f10dad85eef5b11565c1d0b30f2ecc5c941820b Mon Sep 17 00:00:00 2001
From: Franck Mamalet <49721198+franckma31@users.noreply.github.com>
Date: Tue, 10 Dec 2024 10:04:18 +0100
Subject: [PATCH] remove same case for padding_mode to solve
 https://github.com/deel-ai/deel-torchlip/pull/23#discussion_r1868955134 and
 https://github.com/deel-ai/deel-torchlip/pull/23#discussion_r1868967430

---
 deel/torchlip/modules/pooling.py  |  1 -
 deel/torchlip/utils/lconv_norm.py | 12 ++----------
 2 files changed, 2 insertions(+), 11 deletions(-)

diff --git a/deel/torchlip/modules/pooling.py b/deel/torchlip/modules/pooling.py
index d4ffae0..e9b3fce 100644
--- a/deel/torchlip/modules/pooling.py
+++ b/deel/torchlip/modules/pooling.py
@@ -232,4 +232,3 @@ def forward(self, input: torch.Tensor) -> torch.Tensor:
 
     def vanilla_export(self):
         return self
-
diff --git a/deel/torchlip/utils/lconv_norm.py b/deel/torchlip/utils/lconv_norm.py
index 9feb1af..0101fdf 100644
--- a/deel/torchlip/utils/lconv_norm.py
+++ b/deel/torchlip/utils/lconv_norm.py
@@ -41,11 +41,7 @@ def compute_lconv_coef_1d(
     stride = strides[0]
     k1 = kernel_size[0]
 
-    if (
-        (padding_mode in ["zeros", "same"])
-        and (stride == 1)
-        and (input_shape is not None)
-    ):
+    if (padding_mode in ["zeros"]) and (stride == 1) and (input_shape is not None):
         # See https://arxiv.org/abs/2006.06520
         in_l = input_shape[-1]
         k1_div2 = (k1 - 1) / 2
@@ -67,11 +63,7 @@ def compute_lconv_coef(
     stride = np.prod(strides)
     k1, k2 = kernel_size
 
-    if (
-        (padding_mode in ["zeros", "same"])
-        and (stride == 1)
-        and (input_shape is not None)
-    ):
+    if (padding_mode in ["zeros"]) and (stride == 1) and (input_shape is not None):
         h, w = input_shape[-2:]
         k1_div2 = (k1 - 1) / 2
         k2_div2 = (k2 - 1) / 2