COMPMID-1936: Add support for QASYMM8 in CLQuantizeLayer.

Change-Id: I9aa1f1f1753bcdee6a74ec15b4fb366f823788b4
Signed-off-by: Usama Arif <usama.arif@arm.com>
Reviewed-on: https://review.mlplatform.org/c/850
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 8 insertions, 13 deletions

diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
index 5d78dce1c2..d16ae546ff 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -49,24 +49,20 @@ public:
     CLQuantizationLayerKernel &operator=(CLQuantizationLayerKernel &&) = default;
     /** Default destructor */
     ~CLQuantizationLayerKernel() = 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. Output data type must be 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. Data types supported: F32/F16.
+     * @param[out] output Destination tensor with the same dimensions of input. Output data type must be QASYMM8.
      */
-    void configure(const ICLTensor *input, ICLTensor *output, ICLTensor *min_max);
+    void configure(const ICLTensor *input, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayerKernel
      *
-     * @param[in] input   Input tensor info. Data types supported: F32.
-     * @param[in] output  Output tensor info. Output data type must be 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. Output data type must be 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, cl::CommandQueue &queue) override;
@@ -74,7 +70,6 @@ public:
 private:
     const ICLTensor *_input;
     ICLTensor       *_output;
-    const ICLTensor *_min_max;
 };
 } // namespace arm_compute
 #endif /*__ARM_COMPUTE_CLQUANTIZATIONLAYERKERNEL_H__ */