COMPMID-1451: Removed output_depth3d from CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat

Since we perform an element-wise operation, it is not necessary to pass the output_depth3d.

Change-Id: Ibfa07a0706e902acf59b444aa61e18a348162ea9

1 files changed, 18 insertions, 23 deletions

diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel.h
index 5a5d3938b7..7256095c03 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel.h
@@ -58,34 +58,30 @@ public:
     CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &operator=(CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel &&) = default;
     /** Initialise the kernel's input and output.
      *
-     * @param[in]  input           Input tensor. Data type supported: S32
-     * @param[in]  bias            Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
-     *                             Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
-     * @param[out] output          Output tensor. Data type supported: Data type supported: QASYMM8
-     * @param[in]  multiplier      Float multiplier to be multiplied to each element of the input matrix
-     * @param[in]  offset          Offset to be applied to result before converting it back to QASYMM8
-     * @param[in]  min             (Optional) Min value used to saturate down the output result before converting back to QASYMM8
-     * @param[in]  max             (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
-     *                             Along with @p min, this value can be used to implement "rectified linear unit" activation functions
-     * @param[in]  output_3d_depth (Optional) Depth of output in 3D (Defaults to 1)
+     * @param[in]  input      Input tensor. Data type supported: S32
+     * @param[in]  bias       Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
+     *                        Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+     * @param[out] output     Output tensor. Data type supported: Data type supported: QASYMM8
+     * @param[in]  multiplier Float multiplier to be multiplied to each element of the input matrix
+     * @param[in]  offset     Offset to be applied to result before converting it back to QASYMM8
+     * @param[in]  min        (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+     * @param[in]  max        (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+     *                        Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
-    void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, float multiplier, int offset,
-                   int min = 0, int max = 0, unsigned int output_3d_depth = 1);
+    void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, float multiplier, int offset, int min = 0, int max = 0);
     /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel
      *
-     * @param[in] input           Input tensor. Data type supported: S32
-     * @param[in] bias            Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
-     *                            Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
-     * @param[in] output          Output tensor. Data type supported: Data type supported: QASYMM8
-     * @param[in] min             (Optional) Min value used to saturate down the output result before converting back to QASYMM8
-     * @param[in] max             (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
-     *                            Along with @p min, this value can be used to implement "rectified linear unit" activation functions
-     * @param[in] output_3d_depth (Optional)  Depth of output in 3D (Defaults to 1)
+     * @param[in] input  Input tensor. Data type supported: S32
+     * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
+     *                   Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+     * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8
+     * @param[in] min    (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+     * @param[in] max    (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+     *                   Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
-                           int min = 0, int max = 0, unsigned int output_3d_depth = 1);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -94,7 +90,6 @@ private:
     const ICLTensor *_input;
     const ICLTensor *_bias;
     ICLTensor       *_output;
-    bool             _reinterpret_as_3d;
 };
 } // namespace arm_compute
 #endif /* __ARM_COMPUTE_CLGEMMLOWPQUANTIZEDOWNINT32TOUINT8SCALEBYFLOATKERNEL_H__ */