diff --git a/test/test_mnist.py b/test/test_mnist.py
index 4e06cc1f..8a2d6a4d 100644
--- a/test/test_mnist.py
+++ b/test/test_mnist.py
@@ -3,10 +3,20 @@ import os
 import unittest
 import numpy as np
 from tinygrad.tensor import Tensor, GPU
-from tinygrad.utils import layer_init_uniform, fetch_mnist
+from tinygrad.utils import layer_init_uniform, fetch
 import tinygrad.optim as optim
 from tqdm import trange
 
+# mnist loader
+def fetch_mnist():
+  import gzip
+  parse = lambda dat: np.frombuffer(gzip.decompress(dat), dtype=np.uint8).copy()
+  X_train = parse(fetch("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))[0x10:].reshape((-1, 28, 28))
+  Y_train = parse(fetch("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))[8:]
+  X_test = parse(fetch("http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz"))[0x10:].reshape((-1, 28, 28))
+  Y_test = parse(fetch("http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz"))[8:]
+  return X_train, Y_train, X_test, Y_test
+
 # load the mnist dataset
 X_train, Y_train, X_test, Y_test = fetch_mnist()
 
diff --git a/tinygrad/utils.py b/tinygrad/utils.py
index f6e5d03f..b66888a6 100644
--- a/tinygrad/utils.py
+++ b/tinygrad/utils.py
@@ -23,12 +23,3 @@ def fetch(url):
     os.rename(fp+".tmp", fp)
   return dat
 
-def fetch_mnist():
-  import gzip
-  parse = lambda dat: np.frombuffer(gzip.decompress(dat), dtype=np.uint8).copy()
-  X_train = parse(fetch("http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"))[0x10:].reshape((-1, 28, 28))
-  Y_train = parse(fetch("http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"))[8:]
-  X_test = parse(fetch("http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz"))[0x10:].reshape((-1, 28, 28))
-  Y_test = parse(fetch("http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz"))[8:]
-  return X_train, Y_train, X_test, Y_test
-