assign device

core/leras/layers/MsSsim.py

@@ -19,6 +19,15 @@ class MsSsim(nn.LayerBase):
         # Transpose images from NCHW to NHWC
         y_true_t = tf.transpose(tf.cast(y_true, tf.float32), [0, 2, 3, 1])
         y_pred_t = tf.transpose(tf.cast(y_pred, tf.float32), [0, 2, 3, 1])
+
+
+        def assign_device(op):
+            if op.type != 'Assert':
+                return '/gpu:0'
+            else:
+                return '/cpu:0'
+
+        with tf.device(assign_device):
             loss = tf.image.ssim_multiscale(y_true_t, y_pred_t, max_val, power_factors=self.power_factors)
             return (1.0 - loss) / 2.0