let summary = "Outputs random values from a uniform distribution.";

  let description = [{
The generated values follow a uniform distribution in the range `[0, 1)`. The
lower bound 0 is included in the range, while the upper bound 1 is excluded.
  }];

  let arguments = (ins

		{"(*RGBA64).SetRGBA64", Method, 0},
		{"(*RGBA64).SubImage", Method, 0},
		{"(*Uniform).At", Method, 0},
		{"(*Uniform).Bounds", Method, 0},
		{"(*Uniform).ColorModel", Method, 0},
		{"(*Uniform).Convert", Method, 0},
		{"(*Uniform).Opaque", Method, 0},
		{"(*Uniform).RGBA", Method, 0},
		{"(*Uniform).RGBA64At", Method, 17},
		{"(*YCbCr).At", Method, 0},
		{"(*YCbCr).Bounds", Method, 0},

    *   Improve error message when attempting to use `None` in data-dependent
        control flow.
    *   Add `RaggedTensor.numpy()`.
    *   Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow
        indexing into uniform dimensions.
    *   Update `tf.expand_dims` to always insert the new dimension as a
        non-ragged dimension.
    *   Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm`