diff --git a/codes/models/archs/srflow_orig/FlowUpsamplerNet.py b/codes/models/archs/srflow_orig/FlowUpsamplerNet.py
index 0b0d4e23..52fd918f 100644
--- a/codes/models/archs/srflow_orig/FlowUpsamplerNet.py
+++ b/codes/models/archs/srflow_orig/FlowUpsamplerNet.py
@@ -195,7 +195,6 @@ class FlowUpsamplerNet(nn.Module):
             assert gt is not None
             assert rrdbResults is not None
             z, logdet = self.encode(gt, rrdbResults, logdet=logdet, epses=epses, y_onehot=y_onehot)
-
             return z, logdet
 
     def encode(self, gt, rrdbResults, logdet=0.0, epses=None, y_onehot=None):
diff --git a/codes/models/archs/srflow_orig/SRFlowNet_arch.py b/codes/models/archs/srflow_orig/SRFlowNet_arch.py
index b0e909f0..5cb9d4b4 100644
--- a/codes/models/archs/srflow_orig/SRFlowNet_arch.py
+++ b/codes/models/archs/srflow_orig/SRFlowNet_arch.py
@@ -3,6 +3,7 @@ import math
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
+import torchvision
 import numpy as np
 from models.archs.srflow_orig.RRDBNet_arch import RRDBNet
 from models.archs.srflow_orig.FlowUpsamplerNet import FlowUpsamplerNet
@@ -53,7 +54,7 @@ class SRFlowNet(nn.Module):
 
     def forward(self, gt=None, lr=None, z=None, eps_std=None, reverse=False, epses=None, reverse_with_grad=False,
                 lr_enc=None,
-                add_gt_noise=False, step=None, y_label=None):
+                add_gt_noise=True, step=None, y_label=None):
         if not reverse:
             return self.normal_flow(gt, lr, epses=epses, lr_enc=lr_enc, add_gt_noise=add_gt_noise, step=step,
                                     y_onehot=y_label)
@@ -91,7 +92,7 @@ class SRFlowNet(nn.Module):
             logdet = logdet + float(-np.log(self.quant) * pixels)
 
         # Encode
-        epses, logdet = self.flowUpsamplerNet(rrdbResults=lr_enc, gt=z, logdet=logdet, reverse=False, epses=epses,
+        epses, logdet = self.flowUpsamplerNet(rrdbResults=lr_enc, gt=z, logdet=logdet, reverse=False, epses=[],
                                               y_onehot=y_onehot)
 
         objective = logdet.clone()
diff --git a/codes/models/archs/srflow_orig/Split.py b/codes/models/archs/srflow_orig/Split.py
index b7b1df98..1f5de9bf 100644
--- a/codes/models/archs/srflow_orig/Split.py
+++ b/codes/models/archs/srflow_orig/Split.py
@@ -49,7 +49,8 @@ class Split2d(nn.Module):
 
             if eps is None:
                 #print("WARNING: eps is None, generating eps untested functionality!")
-                eps = GaussianDiag.sample_eps(mean.shape, eps_std)
+                eps = GaussianDiag.sample(mean, logs, eps_std)
+                #eps = GaussianDiag.sample_eps(mean.shape, eps_std)
 
             eps = eps.to(mean.device)
             z2 = mean + self.exp_eps(logs) * eps