@@ -206,7 +206,8 @@ def random_uniform(shape,
     maxval: A 0-D Tensor or Python value of type `dtype`. The upper bound on
       the range of random values to generate.  Defaults to 1 if `dtype` is
       floating point.
-    dtype: The type of the output: `float32`, `float64`, `int32`, or `int64`.
+    dtype: The type of the output: 'float16`, `float32`, `float64`, `int32`,
+      or `int64`.
     seed: A Python integer. Used to create a random seed for the distribution.
       See @{tf.set_random_seed}
       for behavior.
@@ -219,6 +220,9 @@ def random_uniform(shape,
     ValueError: If `dtype` is integral and `maxval` is not specified.
   """
   dtype = dtypes.as_dtype(dtype)
+  if dtype not in (dtypes.float16, dtypes.float32, dtypes.float64, dtypes.int32,
+                   dtypes.int64):
+    raise ValueError("Invalid dtype %r" % dtype)
   if maxval is None:
     if dtype.is_integer:
       raise ValueError("Must specify maxval for integer dtype %r" % dtype)