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diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu_quantized.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu_quantized.cl
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016-2018 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "helpers.h"
+#define SUB(x, y) (x) - (y)
+
+#if defined(OFF_IN1) && defined(OFF_IN2) && defined(OFF_OUT) && defined(SCALE_IN1) && defined(SCALE_IN2) && defined(SCALE_OUT) && defined(VEC_SIZE)
+
+#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)
+#define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE)
+#define VEC_UCHAR VEC_DATA_TYPE(uchar, VEC_SIZE)
+#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))
+#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)
+
+/** Returns result of prelu function implemented as below:
+ * f(input) = alpha * input for input < 0, f(input) = input for input >= 0.
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE_IN compile flag, e.g. -DDATA_TYPE_IN=uchar
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @note Can only take uchar data types.
+ *
+ * @param[in] input1_ptr Pointer to the source image. Supported Data types : QASYMM8
+ * @param[in] input1_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] input1_step_x input1_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input1_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] input1_step_y input1_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input1_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input1_step_z input1_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source image
+ *
+ * @param[in] alpha_ptr Pointer to the source image. Supported Data types : QASYMM8
+ * @param[in] alpha_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] alpha_step_x input2_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] alpha_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] alpha_step_y input2_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] alpha_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] alpha_step_z input2_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] alpha_offset_first_element_in_bytes The offset of the first element in the source image
+ *
+ * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
+ * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
+ * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void prelu_qasymm8(
+ TENSOR3D_DECLARATION(input),
+ TENSOR3D_DECLARATION(alpha),
+ TENSOR3D_DECLARATION(output))
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D alpha = CONVERT_TO_TENSOR3D_STRUCT(alpha);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+ VEC_INT in_a = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)input.ptr), VEC_INT);
+ VEC_INT in_b = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)alpha.ptr), VEC_INT);
+
+ in_a = SUB(in_a, (VEC_INT)((int)OFF_IN1));
+ in_b = SUB(in_b, (VEC_INT)((int)OFF_IN2));
+
+ const VEC_FLOAT in1f32 = CONVERT(in_a, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN1);
+ const VEC_FLOAT in2f32 = CONVERT(in_b, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN2);
+ const VEC_FLOAT outf32 = in1f32 < 0 ? in1f32 * in2f32 : in1f32;
+ const VEC_FLOAT qresf32 = outf32 / ((VEC_FLOAT)(float)SCALE_OUT) + ((VEC_FLOAT)((float)OFF_OUT));
+ const VEC_UCHAR res = CONVERT_SAT(CONVERT_DOWN(qresf32, VEC_INT), VEC_UCHAR);
+
+ VSTORE(VEC_SIZE)
+ (res, 0, (__global uchar *)output.ptr);
+}
+
+#endif // defined(OFF_IN1) && defined(OFF_IN2) && defined(OFF_OUT) && defined(SCALE_IN1) && defined(SCALE_IN2) && defined(SCALE_OUT) && defined(VEC_SIZE)