From 6d4c7a0608a91e3a94d1b174aa9094616c778cb6 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Wed, 4 May 2022 15:42:18 -0400
Subject: add alpha and beta hyper parameters

---
 hyperparameters.py | 4 ++++
 losses.py          | 4 ++--
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/hyperparameters.py b/hyperparameters.py
index f59b9747..8a3da6e2 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -19,3 +19,7 @@ optimizer is used. Refer to the default learning rate parameter
 learning_rate = 1e-4
 
 momentum = 0.01
+
+alpha = 1e-2
+
+beta = 1e-5
diff --git a/losses.py b/losses.py
index fd68e199..542aa144 100644
--- a/losses.py
+++ b/losses.py
@@ -17,8 +17,8 @@ class YourModel(tf.keras.Model):
         #perhaps consider cropping to avoid distortion
         self.style_image = transform.resize(style_image, np.shape(style_image), anti_aliasing=True)
         self.x = tf.Variable(tf.random.uniform(np.shape(content_image)), trainable=True) 
-        self.alpha = 1
-        self.beta = 1
+        self.alpha = hp.alpha
+        self.beta = hp.beta
 
         self.optimizer = tf.keras.optimizers.RMSprop(learning_rate=hp.learning_rate, momentum=hp.momentum)
 
-- 
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