Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
import tensorflow.contrib.slim as slim

def load_mnist(dataset_name):
data_dir = os.path.join("./data", dataset_name)
data_dir = os.path.join("data", dataset_name)

def extract_data(filename, num_data, head_size, data_size):
with gzip.open(filename) as bytestream:
Expand All @@ -25,16 +25,16 @@ def extract_data(filename, num_data, head_size, data_size):
data = np.frombuffer(buf, dtype=np.uint8).astype(np.float)
return data

data = extract_data(data_dir + '/train-images-idx3-ubyte.gz', 60000, 16, 28 * 28)
data = extract_data(os.path.join(data_dir, 'train-images-idx3-ubyte.gz'), 60000, 16, 28 * 28)
trX = data.reshape((60000, 28, 28, 1))

data = extract_data(data_dir + '/train-labels-idx1-ubyte.gz', 60000, 8, 1)
data = extract_data(os.path.join(data_dir, 'train-labels-idx1-ubyte.gz'), 60000, 8, 1)
trY = data.reshape((60000))

data = extract_data(data_dir + '/t10k-images-idx3-ubyte.gz', 10000, 16, 28 * 28)
data = extract_data(os.path.join(data_dir, 't10k-images-idx3-ubyte.gz'), 10000, 16, 28 * 28)
teX = data.reshape((10000, 28, 28, 1))

data = extract_data(data_dir + '/t10k-labels-idx1-ubyte.gz', 10000, 8, 1)
data = extract_data(os.path.join(data_dir, 't10k-labels-idx1-ubyte.gz'), 10000, 8, 1)
teY = data.reshape((10000))

trY = np.asarray(trY)
Expand Down Expand Up @@ -146,4 +146,4 @@ def discrete_cmap(N, base_cmap=None):
base = plt.cm.get_cmap(base_cmap)
color_list = base(np.linspace(0, 1, N))
cmap_name = base.name + str(N)
return base.from_list(cmap_name, color_list, N)
return base.from_list(cmap_name, color_list, N)