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, 20 deletions

diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
index 3330b40d8a..cfd1f08519 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
@@ -163,32 +163,30 @@ class CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat : public ICLSimpleFunction
 public:
     /** Initialise the kernel's inputs, 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 CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint
      *
-     * @param[in] input           Input tensor. It is the output of @ref CLGEMMLowpMatrixMultiplyCore function. Data type supported: S32
-     * @param[in] bias            Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases 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. It is the output of @ref CLGEMMLowpMatrixMultiplyCore function. Data type supported: S32
+     * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases 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);
 };
 } // namespace arm_compute
 #endif /*__ARM_COMPUTE_CLGEMMLOWPOUTPUTSTAGE_H__ */
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