Change the data type of mean_values and std_dev_values to float.

PiperOrigin-RevId: 211010293

1 files changed, 8 insertions, 6 deletions

diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md
index decc8a45a4..76862970c8 100644
--- a/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md
+++ b/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md
@@ -67,21 +67,22 @@ based on index.
 
 *   `--input_shapes`. Type: colon-separated list of comma-separated lists of
     integers. Each comma-separated list of integers gives the shape of one of
-    the input arrays specified in [TensorFlow
-    convention](https://www.tensorflow.org/versions/r1.2/programmers_guide/dims_types#shape).
+    the input arrays specified in
+    [TensorFlow convention](https://www.tensorflow.org/versions/r1.2/programmers_guide/dims_types#shape).
     *   Example: `--input_shapes=1,60,80,3` for a typical vision model means a
         batch size of 1, an input image height of 60, an input image width of
         80, and an input image depth of 3 (representing RGB channels).
     *   Example: `--input_arrays=foo,bar --input_shapes=2,3:4,5,6` means "foo"
         has a shape of [2, 3] and "bar" has a shape of [4, 5, 6].
-*   `--std_dev_values`, `--mean_values`. Type: comma-separated list of integers.
+*   `--std_dev_values`, `--mean_values`. Type: comma-separated list of floats.
     These specify the (de-)quantization parameters of the input array, when it
-    is quantized.
+    is quantized. This is only needed if `inference_input_type` is
+    `QUANTIZED_UINT8`.
     *   The meaning of `mean_values` and `std_dev_values` is as follows: each
         quantized value in the quantized input array will be interpreted as a
         mathematical real number (i.e. as an input activation value) according
         to the following formula:
-        *   `real_value = (quantized_input_value - mean_value) / std_value`.
+        *   `real_value = (quantized_input_value - mean_value) / std_dev_value`.
     *   When performing float inference (`--inference_type=FLOAT`) on a
         quantized input, the quantized input would be immediately dequantized by
         the inference code according to the above formula, before proceeding
@@ -91,7 +92,8 @@ based on index.
         the inference code. However, the quantization parameters of all arrays,
         including those of the input arrays as specified by `mean_value` and
         `std_dev_value`, determine the fixed-point multipliers used in the
-        quantized inference code.
+        quantized inference code. `mean_value` must be an integer when
+        performing quantized inference.
 
 ## Transformation flags