commit adfb2737046028c042f0aecaff87733a442da29f
author John Kesapides <john.kesapides@arm.com> Mon Mar 04 16:29:22 2019 +0000
committer Pablo Marquez <pablo.tello@arm.com> Wed Mar 13 13:34:48 2019 +0000
tree 23b08fb9529075277e51dc1ae7e6489f690c9698
parent 381fcf20c3ee028e14c154ff4b75bc7410f91168

COMPMID-1935	Add support for QASYMM8 in NEQuantizeLayer

Change-Id: I2b63a644d8e34f91c830d9ac398debcbdca3e497
Signed-off-by: John Kesapides <john.kesapides@arm.com>
Reviewed-on: https://review.mlplatform.org/c/829
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h

diff --git a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h
index ca7658b..391a72c 100644
--- a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -54,32 +54,30 @@
     NEQuantizationLayerKernel &operator=(NEQuantizationLayerKernel &&) = default;
     /** Default destructor */
     ~NEQuantizationLayerKernel() = default;
-    /** Set the input, output, min and max.
+    /** Set the input, output.
      *
-     * @param[in]  input   Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: F32.
-     * @param[out] output  Destination tensor with the same dimensions of input. Data types supported: U8.
-     * @param[in]  min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor.
-     *                     The dimensions over the second must match the batched dimensions of the input tensor. Data type 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, const ITensor *min_max);
+    void configure(const ITensor *input, ITensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref NEQuantizationLayerKernel
      *
-     * @param[in] input   Input tensor info. Data types supported: F32.
-     * @param[in] output  Output tensor info. Data types supported: U8.
-     * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor.
-     *                    The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32.
+     * @param[in] input  Input tensor info. Data types supported: F32/F16.
+     * @param[in] output Output tensor info. Data types supported: QASYMM8.
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output);
 
     // Inherited methods overridden:
     void run(const Window &window, const ThreadInfo &info) override;
 
 private:
+    template <typename T>
+    void quantize(const Window &window, const QuantizationInfo &qinfo);
+
     const ITensor *_input;
     ITensor       *_output;
-    const ITensor *_min_max;
 };
 } // namespace arm_compute
 #endif /*__ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H__ */