diff --git a/nnlib/nnlib.py b/nnlib/nnlib.py
index a4f59d6..711edb8 100644
--- a/nnlib/nnlib.py
+++ b/nnlib/nnlib.py
@@ -1,15 +1,18 @@
+import contextlib
+import multiprocessing
 import os
 import sys
-import contextlib
+from pathlib import Path
+
 import numpy as np
 
-from .CAInitializer import CAGenerateWeights
-import multiprocessing
-from joblib import Subprocessor
-
-from utils import std_utils
-from .device import device
 from interact import interact as io
+from joblib import Subprocessor
+from utils import std_utils
+
+from .CAInitializer import CAGenerateWeights
+from .device import device
+
 
 class nnlib(object):
     device = device #forwards nnlib.devicelib to device in order to use nnlib as standalone lib
@@ -173,6 +176,11 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
             os.environ.pop('CUDA_VISIBLE_DEVICES')
 
         os.environ['CUDA_​CACHE_​MAXSIZE'] = '536870912' #512Mb (32mb default)
+        
+        if sys.platform[0:3] == 'win':
+            if len(device_config.gpu_idxs) == 1:
+                os.environ['CUDA_CACHE_PATH'] = \
+                  str(Path(os.environ['APPDATA']) / 'NVIDIA' / ('ComputeCache_' + device_config.gpu_names[0].replace(' ','_')))
 
         os.environ['TF_MIN_GPU_MULTIPROCESSOR_COUNT'] = '2'
         os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #tf log errors only