diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 001cc8d20ae1965ba62c4f1730e4211688fa1497..2b7cf70e73c6f1c895b19751d0d08c74489edbc2 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -3,7 +3,7 @@ build_kaniko_command:
     variables:
       # To push to a specific docker tag other than latest(the default), amend the --destination parameter, e.g. --destination $CI_REGISTRY_IMAGE:$CI_BUILD_REF_NAME
       # See https://docs.gitlab.com/ee/ci/variables/predefined_variables.html#variables-reference for available variables
-      IMAGE_DESTINATION: ${CI_REGISTRY_IMAGE}:SingleGen
+      IMAGE_DESTINATION: ${CI_REGISTRY_IMAGE}:SingleGenCuda11
     image: 
         # We recommend using the CERN version of the Kaniko image: gitlab-registry.cern.ch/ci-tools/docker-image-builder
         name: gitlab-registry.cern.ch/ci-tools/docker-image-builder
diff --git a/Dockerfile b/Dockerfile
index 5d4ae891b09d3c7a13adb2a43d7ed16ac0e6c5ce..e609ad041cd44acce61473e7cc2ad535977feba6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,5 @@
-FROM pytorch/pytorch:1.9.0-cuda10.2-cudnn7-runtime
+#FROM pytorch/pytorch:1.9.0-cuda10.2-cudnn7-runtime
+FROM pytorch/pytorch:1.10.0-cuda11.3-cudnn8-runtime
 
 ENV NB_USER jovyan
 ENV NB_UID 1000
diff --git a/interactive/control-single.ipynb b/interactive/control-single.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..024b7c0b66473f2ac33b72858285d8c0ae08b326
--- /dev/null
+++ b/interactive/control-single.ipynb
@@ -0,0 +1,471 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b654e09a-ad8a-4e90-a059-b2cee994b172",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import sys\n",
+    "sys.path.append('/home/jovyan/singleWGAN/pytorchjob')\n",
+    "\n",
+    "import importlib\n",
+    "\n",
+    "from models.generator import DCGAN_G\n",
+    "from models.generatorFull import Hcal_ecalEMB\n",
+    "from matplotlib.colors import LogNorm\n",
+    "\n",
+    "import random\n",
+    "from torch.autograd import Variable\n",
+    "import interactive.physics.plotting as phys\n",
+    "import interactive.physics.basics as B\n",
+    "import interactive.inference.generate as G\n",
+    "\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "import h5py\n",
+    "import matplotlib.patches as mpatches"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9f90526b-9fa9-4755-a1e0-481f45e3a1c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "f50 = h5py.File('/eos/user/e/eneren/scratch/50GeV75k.hdf5', 'r')\n",
+    "s50E = f50['ecal/layers'][1000:3000]\n",
+    "s50H = f50['hcal/layers'][1000:3000]\n",
+    "\n",
+    "\n",
+    "s50E[ s50E < 0.1] = 0.0\n",
+    "s50H[ s50H < 0.25] = 0.0\n",
+    "\n",
+    "cReal50 = np.concatenate((s50E , s50H ),1)\n",
+    "\n",
+    "esumRealECAL50 = B.getTotE(s50E, 30, 30, 30)\n",
+    "esumRealHCAL50 = B.getTotE(s50H, 30, 30, 48)\n",
+    "esumReal50 = B.getTotE(cReal50, 30, 30, 78)\n",
+    "\n",
+    "showers  = {\n",
+    "    '50F': esumReal50,\n",
+    "    '50E': esumRealECAL50,\n",
+    "    '50H': esumRealHCAL50\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa532fd5-f079-4275-a9be-1773e020be8e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reset_selective -f \"^fE$\"\n",
+    "%reset_selective -f \"^fH$\"\n",
+    "%reset_selective -f \"^fakeShower$\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "bce451e6-1212-4bfb-9af7-335740e5aa64",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Current Epoch:  624\n",
+      "JSD score:  0.8243212423294989\n",
+      "Current Epoch:  625\n",
+      "JSD score:  0.8274337789366164\n",
+      "Current Epoch:  626\n",
+      "JSD score:  0.8274337789366164\n",
+      "Current Epoch:  627\n",
+      "JSD score:  0.8274337789366164\n",
+      "Current Epoch:  628\n",
+      "JSD score:  0.7107216679754913\n",
+      "Current Epoch:  629\n",
+      "JSD score:  0.8282098605592206\n",
+      "Current Epoch:  630\n",
+      "JSD score:  0.825827846491211\n",
+      "Current Epoch:  631\n",
+      "JSD score:  0.8282886789413614\n",
+      "Current Epoch:  632\n",
+      "JSD score:  0.8255396666326877\n",
+      "Current Epoch:  633\n",
+      "JSD score:  0.8274337789366164\n",
+      "Current Epoch:  634\n",
+      "JSD score:  0.8178028558012723\n",
+      "Current Epoch:  635\n",
+      "JSD score:  0.8301765191835686\n",
+      "Current Epoch:  636\n",
+      "JSD score:  0.8263965260824282\n",
+      "Current Epoch:  637\n",
+      "JSD score:  0.8230706151733853\n",
+      "Current Epoch:  638\n",
+      "JSD score:  0.8301765191835686\n",
+      "Current Epoch:  639\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/lib/python3.8/dist-packages/scipy/spatial/distance.py:1295: RuntimeWarning: invalid value encountered in divide\n",
+      "  q = q / np.sum(q, axis=axis, keepdims=True)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "JSD score:  nan\n",
+      "Current Epoch:  640\n",
+      "JSD score:  0.8312622284547\n",
+      "Current Epoch:  641\n",
+      "JSD score:  0.8291681980833738\n",
+      "Current Epoch:  642\n",
+      "JSD score:  0.825827846491211\n",
+      "Current Epoch:  643\n",
+      "JSD score:  0.8255396666326877\n",
+      "Current Epoch:  644\n",
+      "JSD score:  0.8325546111576977\n",
+      "Current Epoch:  645\n",
+      "JSD score:  0.8274337789366164\n",
+      "Current Epoch:  646\n",
+      "JSD score:  0.8312622284547\n",
+      "Current Epoch:  647\n",
+      "JSD score:  0.7659411074939536\n",
+      "Current Epoch:  648\n",
+      "JSD score:  0.7373499050468664\n",
+      "Current Epoch:  649\n",
+      "JSD score:  0.8282098605592206\n",
+      "Current Epoch:  650\n",
+      "JSD score:  0.8301765191835686\n",
+      "Current Epoch:  651\n",
+      "JSD score:  0.7840372824170426\n",
+      "Current Epoch:  652\n",
+      "JSD score:  0.8301765191835686\n",
+      "Current Epoch:  653\n",
+      "JSD score:  0.8230706151733852\n",
+      "Current Epoch:  654\n",
+      "JSD score:  0.8312622284547\n",
+      "Current Epoch:  655\n",
+      "JSD score:  0.5977005554466349\n",
+      "Current Epoch:  656\n",
+      "JSD score:  0.8282886789413614\n",
+      "Current Epoch:  657\n",
+      "JSD score:  0.8243212423294989\n",
+      "Best:  0.5977005554466349\n"
+     ]
+    },
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 4800x1600 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "importlib.reload(B)\n",
+    "importlib.reload(G)\n",
+    "G.fid_scan_singleGen(showers, 2000, 624, 658)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "77825f05-c6e8-4e3e-a3d3-5a65ea923894",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Generating of showers: current batch 50  .......\n",
+      "Generating of showers: current batch 100  .......\n",
+      "Generating of showers: current batch 150  .......\n",
+      "Generating of showers: current batch 200  .......\n",
+      "Generating of showers: current batch 250  .......\n",
+      "Generating of showers: current batch 300  .......\n",
+      "Generating of showers: current batch 350  .......\n",
+      "Generating of showers: current batch 400  .......\n",
+      "Generating of showers: current batch 450  .......\n",
+      "Generating of showers: current batch 500  .......\n",
+      "Generating of showers: current batch 550  .......\n",
+      "Generating of showers: current batch 600  .......\n",
+      "Generating of showers: current batch 650  .......\n",
+      "Generating of showers: current batch 700  .......\n",
+      "Generating of showers: current batch 750  .......\n",
+      "Generating of showers: current batch 800  .......\n",
+      "Generating of showers: current batch 850  .......\n",
+      "Generating of showers: current batch 900  .......\n",
+      "Generating of showers: current batch 950  .......\n",
+      "Generating of showers: current batch 1000  .......\n",
+      "Generating of showers: current batch 1050  .......\n",
+      "Generating of showers: current batch 1100  .......\n",
+      "Generating of showers: current batch 1150  .......\n",
+      "Generating of showers: current batch 1200  .......\n",
+      "Generating of showers: current batch 1250  .......\n",
+      "Generating of showers: current batch 1300  .......\n",
+      "Generating of showers: current batch 1350  .......\n",
+      "Generating of showers: current batch 1400  .......\n",
+      "Generating of showers: current batch 1450  .......\n",
+      "Generating of showers: current batch 1500  .......\n",
+      "Generating of showers: current batch 1550  .......\n",
+      "Generating of showers: current batch 1600  .......\n",
+      "Generating of showers: current batch 1650  .......\n",
+      "Generating of showers: current batch 1700  .......\n",
+      "Generating of showers: current batch 1750  .......\n",
+      "Generating of showers: current batch 1800  .......\n",
+      "Generating of showers: current batch 1850  .......\n",
+      "Generating of showers: current batch 1900  .......\n",
+      "Generating of showers: current batch 1950  .......\n",
+      "Generating of showers: current batch 2000  .......\n"
+     ]
+    }
+   ],
+   "source": [
+    "importlib.reload(G)\n",
+    "eph=655\n",
+    "fE, fH = G.make_showerSingle(eph, 50, 2000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bcd9a094-2667-4c78-bf2a-505709295b38",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fE[ fE < 0.1] = 0.0\n",
+    "fH[ fH < 0.25] = 0.0\n",
+    "fakeShower = np.concatenate((fE , fH ),1)\n",
+    "esumFake50 = B.getTotE(fakeShower, 30, 30, 78)\n",
+    "esumFakeHCAL = B.getTotE(fH, 30, 30, 48)\n",
+    "esumFakeECAL = B.getTotE(fE, 30, 30, 30)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "24981514-a6cd-47aa-93b5-91162fc4a8f8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 480x551.642 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 480x551.642 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 480x551.642 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "importlib.reload(phys)\n",
+    "importlib.reload(B)\n",
+    "phys.plot_esum(esumReal50, esumFake50 , 50, 0, 2500, 400, '50_GeV_Singleeph'+str(eph))\n",
+    "\n",
+    "phys.plot_esum(esumRealHCAL50, esumFakeHCAL , 50, 0, 2000, 500, '50_GeV_HCAL_SingleGen_pe_eph'+str(eph))\n",
+    "phys.plot_esum(esumRealECAL50, esumFakeECAL , 50, 0, 2000, 1400, '50_GeV_ECAL_SingleGen_pe_eph'+str(eph))\n",
+    "\n",
+    "\n",
+    "#real_ecal_frac =  esumRealECAL50 / esumReal50\n",
+    "#fake_ecal_frac =  esumFakeECAL / esumFake50 \n",
+    "\n",
+    "#real_hcal_frac =  esumRealHCAL50 / esumReal50\n",
+    "#fake_hcal_frac =  esumFakeHCAL / esumFake50 \n",
+    "\n",
+    "\n",
+    "#phys.plot_esumFrac(real_ecal_frac, fake_ecal_frac , 100, -0.5, 2, 1500, '$E_{ECAL} / E_{Total}$', '50_GeV_fractionsECAL_eph'+str(eph))\n",
+    "#phys.plot_esumFrac(real_hcal_frac, fake_hcal_frac , 100, -0.5, 2, 1500, '$E_{HCAL} / E_{Total}$', '50_GeV_fractionsHCAL_eph'+str(eph))\n",
+    "#phys.esum_2D(esumRealECAL50, esumRealHCAL50, \n",
+    "#             esumFakeECAL , esumFakeHCAL ,\n",
+    "#             nbinsX=50, nbinsY=50, name='eph'+str(eph))\n",
+    "\n",
+    "for i in range(10,20):\n",
+    "    phys.plot_combinedSingleXZ(cReal50, fakeShower, i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "47892451-1f56-4797-b4b2-e766f3bfd935",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "esumFakeHCAL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8d44b436-188f-4e38-af3c-3423aef05f69",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/interactive/inference/generate.py b/interactive/inference/generate.py
index 98fd60b64b05b0e62c38f8cfb000201fd050d3a5..a7ad76a765a03be1e2bd8ecfcabc2fd5bdcacf57 100644
--- a/interactive/inference/generate.py
+++ b/interactive/inference/generate.py
@@ -9,6 +9,7 @@ import matplotlib.pyplot as plt
 sys.path.append('/home/jovyan/pytorchjob')
 from models.generator import DCGAN_G
 from models.generatorFull import Hcal_ecalEMB
+from models.combined_generator_split import Combined_Generator
 import interactive.physics.basics as B    
 import scipy.spatial.distance as dist
 
@@ -76,6 +77,60 @@ def make_shower(eph, Etrue, nEvents):
     
     return im, imE, imH
 
+      
+def make_showerSingle(eph, Etrue, nEvents): 
+    
+    ngf = 8
+    nz = 100
+    batch_size = 50
+    device = torch.device("cuda")
+    
+    
+    ## GENERATOR
+    mGen = Combined_Generator(ngf, nz).to(device)
+    mGen = torch.nn.parallel.DataParallel(mGen)
+    exp='wganSingleGenV3'
+    
+
+    
+    Tensor = torch.cuda.FloatTensor 
+    
+    gen_checkpoint = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generator_E_H_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+    mGen.load_state_dict(gen_checkpoint['model_state_dict'])
+    mGen.eval()
+        
+    fakeList = []
+    fE_list = []
+    fH_list = []
+    for b in range(batch_size, nEvents + 1 , batch_size):
+        
+        print ("Generating of showers: current batch {}  .......".format(b))
+        ##Generate showers
+        z = Variable(Tensor(np.random.uniform(-1, 1, (batch_size, nz, 1, 1, 1))), requires_grad=False)
+        E = torch.from_numpy(np.random.uniform(Etrue, Etrue, (batch_size,1))).float()
+        ecal, hcal = mGen(z, E.view(-1, 1, 1, 1, 1))
+        ecal = ecal.detach()
+        hcal = hcal.detach()
+
+
+        ## MIT CUT
+        ecal[ ecal < 0.1] = 0.0
+        hcal[ hcal < 0.25] = 0.0
+
+        ecal  = ecal.squeeze(1)
+        hcal  = hcal.squeeze(1)
+            
+        fE_list.append(ecal.cpu().numpy())
+        fH_list.append(hcal.cpu().numpy())
+    
+    
+    imE = np.vstack(fE_list)
+    imH = np.vstack(fH_list)
+    
+    return imE, imH
+
+
+
 
 
 
@@ -322,4 +377,96 @@ def fid_scan(showers, nevents, eph_start, eph_end):
     plt.ylabel('JS difference', fontsize=16)
     plt.ylim(0.1,1.0)
     
-    plt.savefig('/eos/user/e/eneren/plots/sweep_min_max__'+str(eph_start)+'__'+str(eph_end)+'.png')
\ No newline at end of file
+    plt.savefig('/eos/user/e/eneren/plots/sweep_min_max__'+str(eph_start)+'__'+str(eph_end)+'.png')
+    
+    
+    
+def fid_scan_singleGen(showers, nevents, eph_start, eph_end):
+    
+    ngf = 8
+    nz = 100
+    batch_size = 50
+    device = torch.device("cuda")
+    
+    
+    ## GENERATOR
+    mGen = Combined_Generator(ngf, nz).to(device)
+    mGen = torch.nn.parallel.DataParallel(mGen)
+    exp='wganSingleGenV3'
+    #eph_ecal = 694
+
+    
+    Tensor = torch.cuda.FloatTensor 
+    Etrue = 50
+    eph_list = list(range(eph_start,eph_end,1))
+    esum_mean = []
+    
+    for eph in eph_list:
+        
+        #esum_mean = []
+        #esum_down = []
+        #esum_up = []
+        
+        gen_checkpoint = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generator_E_H_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+        mGen.load_state_dict(gen_checkpoint['model_state_dict'])
+        mGen.eval()
+
+        
+        print ("Current Epoch: " , eph)
+        
+        
+        fakeL = []
+        for b in range(batch_size, nevents + 1, batch_size):
+        
+            ##Generate showers
+            z = Variable(Tensor(np.random.uniform(-1, 1, (batch_size, nz, 1, 1, 1))), requires_grad=False)
+            E = torch.from_numpy(np.random.uniform(Etrue, Etrue, (batch_size,1))).float()
+            ecal, hcal = mGen(z, E.view(-1, 1, 1, 1, 1))
+            ecal = ecal.detach()
+            hcal = hcal.detach()
+        
+    
+            ## MIT CUT
+            ecal[ ecal < 0.1] = 0.0
+            hcal[ hcal < 0.25] = 0.0
+            
+            ecal  = ecal.squeeze(1)
+            hcal  = hcal.squeeze(1)
+            
+            comb = torch.cat((ecal, hcal),1)
+
+            esumFull = B.getTotE(comb.cpu().numpy(), 78, 30, 30)
+            fakeL.append(esumFull)
+        
+        
+        esumFake = np.asarray(fakeL)
+
+        
+        
+        jsd = B.jsdHist(showers[str(Etrue)+'F'], esumFake.flatten(), 50, 0, 2500, eph, debug=False)
+
+        #m = (jsd[0] + jsd[1] + jsd[2]) / 3.0
+        #m = jsd
+        esum_mean.append(jsd)
+        #esum_down.append(m - min(jsd))
+        #esum_up.append(max(jsd) - m)
+
+
+        print ("JSD score: ", jsd)
+        
+    print("Best: ", min(esum_mean))
+    # Plotting
+    # Energy sum with average and spread
+    plt.figure(figsize=(12,4), facecolor='none', dpi=400)
+    plt.scatter(eph_list, esum_mean, marker = 'x', color='red', label='Energy sum')
+    #plt.scatter(epoch_list, epoch_matrix_median[:,0], marker = '+', color='blue', label='Median Energy sum area difference')
+    #plt.errorbar(eph_list, esum_mean, yerr=[esum_down, esum_up], color='black', label='Min-Max interval', linestyle='None')
+    #plt.errorbar(epoch_list, epoch_matrix_mean[:,0], yerr=epoch_matrix_std[:,0], color='green', label='Standard deviation', linestyle='None', capsize=3.0)
+
+
+    plt.legend(loc='upper right', fontsize=10)
+    plt.xlabel('epoch', fontsize=14)
+    plt.ylabel('JS difference', fontsize=16)
+    plt.ylim(0.1,1.0)
+    
+    plt.savefig('/eos/user/e/eneren/plots/sweep_SingleGEN_min_max__'+str(eph_start)+'__'+str(eph_end)+'.png')
\ No newline at end of file
diff --git a/pytorch_job_wganSingleGen_ncc.yaml b/pytorch_job_wganSingleGen_ncc.yaml
index 9e52b51213f2132999b9f7db0be0eaf52c1f484f..89070035fd4c52f6743124b1f858a5b8d9571140 100644
--- a/pytorch_job_wganSingleGen_ncc.yaml
+++ b/pytorch_job_wganSingleGen_ncc.yaml
@@ -35,12 +35,12 @@ spec:
                 value: "1"
               command: [sh, -c] 
               args:  
-                - python -u wganSingleGen.py --backend nccl --epochs 150 --exp wganSingleGenV1 --lrGen_E_H 0.00001 --chpt --chpt_eph 50 --batch-size 64 --ncrit 4  
+                - python -u wganSingleGen.py --backend nccl --epochs 100 --exp wganSingleGenV3 --ndf 128 --lrGen_E_H 0.0000001 --batch-size 32 --ncrit 2 --lrCrit_E_H 0.001 --chpt --chpt_eph 623
               resources: 
                 limits:
                   nvidia.com/gpu: 1
     Worker:
-      replicas: 4
+      replicas: 3
       restartPolicy: OnFailure
       template:
         metadata:
@@ -70,7 +70,7 @@ spec:
                 value: "1"
               command: [sh, -c] 
               args:  
-                - python -u wganSingleGen.py --backend nccl --epochs 150 --exp wganSingleGenV1 --lrGen_E_H 0.00001 --chpt --chpt_eph 50 --batch-size 64 --ncrit 4
+                - python -u wganSingleGen.py --backend nccl --epochs 100 --exp wganSingleGenV3 --ndf 128 --lrGen_E_H 0.0000001 --batch-size 32 --ncrit 2 --lrCrit_E_H 0.001 --chpt --chpt_eph 623
               resources: 
                 limits:
                   nvidia.com/gpu: 1