From 452b590c4b36008a70d1831da01874b9d4d90ac8 Mon Sep 17 00:00:00 2001
From: leufen1 <l.leufen@fz-juelich.de>
Date: Fri, 12 Mar 2021 14:47:18 +0100
Subject: [PATCH] no sympad for CNN
---
mlair/model_modules/convolutional_networks.py | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/mlair/model_modules/convolutional_networks.py b/mlair/model_modules/convolutional_networks.py
index 5146fe52..2d8fd9e2 100644
--- a/mlair/model_modules/convolutional_networks.py
+++ b/mlair/model_modules/convolutional_networks.py
@@ -83,17 +83,15 @@ class CNN(AbstractModelClass):
"""
x_input = keras.layers.Input(shape=self._input_shape)
kernel = (self.kernel_size, 1)
- pad_size = PadUtils.get_padding_for_same(kernel)
- x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad1")(x_input)
x_in = keras.layers.Conv2D(filters=16, kernel_size=kernel,
kernel_initializer=self.kernel_initializer,
- kernel_regularizer=self.kernel_regularizer)(x_in)
+ kernel_regularizer=self.kernel_regularizer)(x_input)
x_in = self.activation()(x_in)
x_in = keras.layers.Conv2D(filters=32, kernel_size=kernel,
kernel_initializer=self.kernel_initializer,
kernel_regularizer=self.kernel_regularizer)(x_in)
- x_in = keras.layers.MaxPooling2D(kernel, strides=(1, 1), padding='valid')(x_in)
x_in = self.activation()(x_in)
+ x_in = keras.layers.MaxPooling2D(kernel, strides=(1, 1), padding='valid')(x_in)
x_in = keras.layers.Conv2D(filters=64, kernel_size=kernel,
kernel_initializer=self.kernel_initializer,
kernel_regularizer=self.kernel_regularizer)(x_in)
--
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