1 files changed, 0 insertions, 78 deletions
diff --git a/cli/app/search/util.py b/cli/app/search/util.py
deleted file mode 100644
index a4cdfd9..0000000
--- a/cli/app/search/util.py
+++ /dev/null
@@ -1,78 +0,0 @@
-
-def truncated_z_sample(batch_size, truncation=1., seed=None):
-  state = None if seed is None else np.random.RandomState(seed)
-  values = truncnorm.rvs(-2, 2, size=(batch_size, dim_z), random_state=state)
-  return truncation * values
-
-def one_hot(index, vocab_size=vocab_size):
-  index = np.asarray(index)
-  if len(index.shape) == 0:
-    index = np.asarray([index])
-  assert len(index.shape) == 1
-  num = index.shape[0]
-  output = np.zeros((num, vocab_size), dtype=np.float32)
-  output[np.arange(num), index] = 1
-  return output
-
-def imconvert_uint8(im):
-  im = np.clip(((im + 1) / 2.0) * 256, 0, 255)
-  im = np.uint8(im)
-  return im
-
-def imconvert_float32(im):
-  im = np.float32(im)
-  im = (im / 256) * 2.0 - 1
-  return im
-
-def imread(filename):
-  img = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
-  if img is not None:
-    if len(img.shape) > 2:
-      img = img[...,::-1]
-  return img
-  
-def imwrite(filename, img):
-  if img is not None:
-    if len(img.shape) > 2:
-      img = img[...,::-1]
-  return cv2.imwrite(filename, img)
-
-def imgrid(imarray, cols=5, pad=1):
-  if imarray.dtype != np.uint8:
-    raise ValueError('imgrid input imarray must be uint8')
-  pad = int(pad)
-  assert pad >= 0
-  cols = int(cols)
-  assert cols >= 1
-  N, H, W, C = imarray.shape
-  rows = int(np.ceil(N / float(cols)))
-  batch_pad = rows * cols - N
-  assert batch_pad >= 0
-  post_pad = [batch_pad, pad, pad, 0]
-  pad_arg = [[0, p] for p in post_pad]
-  imarray = np.pad(imarray, pad_arg, 'constant', constant_values=255)
-  H += pad
-  W += pad
-  grid = (imarray
-          .reshape(rows, cols, H, W, C)
-          .transpose(0, 2, 1, 3, 4)
-          .reshape(rows*H, cols*W, C))
-  if pad:
-    grid = grid[:-pad, :-pad]
-  return grid
-
-def imshow(a, format='png', jpeg_fallback=True):
-  a = np.asarray(a, dtype=np.uint8)
-  str_file = cStringIO.StringIO()
-  PIL.Image.fromarray(a).save(str_file, format)
-  im_data = str_file.getvalue()
-  try:
-    disp = IPython.display.display(IPython.display.Image(im_data))
-  except IOError:
-    if jpeg_fallback and format != 'jpeg':
-      print ('Warning: image was too large to display in format "{}"; '
-             'trying jpeg instead.').format(format)
-      return imshow(a, format='jpeg')
-    else:
-      raise
-  return disp