commit 3db1ba9938986e7096184ad22020a71775075d03
author Isabella Gottardi <isabella.gottardi@arm.com> Fri May 17 12:35:20 2019 +0100
committer Isabella Gottardi <isabella.gottardi@arm.com> Mon May 20 07:51:02 2019 +0000
tree 5018e5eecc1c1c81277e8a4c37bc0ad76245d95e
parent 0eb16cfa5ff4484658ba8630a8dea072445dacbd

COMPMID-2362: Add Quantization Layer to the graph API

Change-Id: I9766ad54e8da1367ba192dfeeccdc879f3729550
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1172
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

arm_compute/runtime/CL/functions/CLQuantizationLayer.h

diff --git a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
index 81dcfad..104f8e2 100644
--- a/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLQuantizationLayer.h
@@ -42,7 +42,7 @@
 public:
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: F16/32.
+     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F16/32.
      * @param[out] output Destination tensor with the same dimensions of input. Output data type must be QASYMM8.
      */
     void configure(const ICLTensor *input, ICLTensor *output);

arm_compute/runtime/NEON/functions/NEQuantizationLayer.h

diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
index 9ca199d..5e4b4f7 100644
--- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h
@@ -48,13 +48,13 @@
     NEQuantizationLayer() = default;
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32
+     * @param[in]  input  Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16.
      * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8
      */
     void configure(const ITensor *input, ITensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref NEQuantizationLayer
      *
-     * @param[in] input  Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32.
+     * @param[in] input  Input tensor info. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16.
      * @param[in] output Output tensor info. Data types supported: QASYMM8
      *
      * @return a status