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diff --git a/compute/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl b/compute/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl
deleted file mode 100644
index f74c1c103..000000000
--- a/compute/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl
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@@ -1,191 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * 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.
- */
-
-/*
- * Copyright (c) 2016, 2017 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-#include "helpers_asymm.h"
-
-#ifdef SATURATE
-#define ADD(x, y) add_sat((x), (y))
-#define SUB(x, y) sub_sat((x), (y))
-#else /* SATURATE */
-#define ADD(x, y) (x) + (y)
-#define SUB(x, y) (x) - (y)
-#endif /* SATURATE */
-
-/** Performs a pixelwise addition used to quantize down the int32 accumulator values of GEMMLowp to
- * QASYMM8
- *
- * The following computations will be performed:
- *
- * -# Add offset terms to inputs
- -# Get scaled value of two inputs
- * -# Add inputs
- * -# Add offset terms to final result
- * -# Multiply each entry of result by result_mult_int
- * -# Shift the int32 accumulator by result_shift
- * -# Clamp the resulting int32 values to the [0..255] range and cast to QASYMM8.
- *
- * @attention The inputs and output data types need to be passed at compile time using
- * -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
- * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=uchar
- * @attention The number of bits to shift left of input tensors must be passed at compile time using
- * -DLEFT_SHIFT
- * @attention The offset, scalar scale factor and number of bits to shift right of input tensors
- * must be passed at compile time using -DIN1_OFFSET, -RIN1_MULT_INT, -DIN1_SHIFT,
- -DIN2_OFFSET,
- * -RIN2_MULT_INT and -DIN2_SHIFT
- * @attention The offset, scalar scale factor and number of bits to shift right of output tensor
- * must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and
- -DRESULT_SHIFT
- *
- * @attention The input and output data_types need to be passed at compile time using
- * -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
- * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=uchar
- * @attention The inputs and output scale information of qasymm8 need to be passed at compile time
- * using -DSCALE_IN1, -DSCALE_IN2 and -DSCALE_OUT:
- * e.g. -DSCALE_IN1=1.f -DSCALE_IN2=1.f -DSCALE_OUT=2.f
- * @attention The inputs and output scale offset need to be passed at compile time using
- * -DOFFSET_IN1, -DOFFSET_IN2 and -DOFFSET_OUT:
- * e.g. -DOFFSET_IN1=0 -DOFFSET_IN2=0 -DOFFSET_OUT=0
- * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
- * -DVEC_SIZE=16
- * @attention To perform saturating operation -DSATURATE has to be passed to the compiler otherwise
- * wrapping policy will be used.
- *
- * @param[in] in1_ptr Pointer to the source tensor.
- * Supported data types: QASYMM8
- * @param[in] in1_stride_x Stride of the source tensor in X dimension
- * (in bytes)
- * @param[in] in1_step_x in1_stride_x * number of elements along X processed
- * per workitem(in bytes)
- * @param[in] in1_stride_y Stride of the source tensor in Y dimension
- * (in bytes)
- * @param[in] in1_step_y in1_stride_y * number of elements along Y processed
- * per workitem(in bytes)
- * @param[in] in1_stride_z Stride of the source tensor in Z dimension
- * (in bytes)
- * @param[in] in1_step_z in1_stride_z * number of elements along Z processed
- * per workitem(in bytes)
- * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source
- * tensor
- * @param[in] in2_ptr Pointer to the source tensor. Supported data types:
- * QASYMM8
- * @param[in] in2_stride_x Stride of the source tensor in X dimension
- * (in bytes)
- * @param[in] in2_step_x in2_stride_x * number of elements along X processed
- * per workitem(in bytes)
- * @param[in] in2_stride_y Stride of the source tensor in Y dimension
- * (in bytes)
- * @param[in] in2_step_y in2_stride_y * number of elements along Y processed
- * per workitem(in bytes)
- * @param[in] in2_stride_z Stride of the source tensor in Z dimension
- * (in bytes)
- * @param[in] in2_step_z in2_stride_z * number of elements along Z processed
- * per workitem(in bytes)
- * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source
- * tensor
- * @param[out] out_ptr Pointer to the destination tensor.
- * Supported data types: QASYMM8
- * @param[in] out_stride_x Stride of the destination tensor in X dimension
- * (in bytes)
- * @param[in] out_step_x out_stride_x * number of elements along X processed
- * per workitem(in bytes)
- * @param[in] out_stride_y Stride of the destination tensor in Y dimension
- * (in bytes)
- * @param[in] out_step_y out_stride_y * number of elements along Y processed
- * per workitem(in bytes)
- * @param[in] out_stride_z Stride of the source tensor in Z dimension
- * (in bytes)
- * @param[in] out_step_z out_stride_z * number of elements along Z processed
- * per workitem(in bytes)
- * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination
- * tensor
- */
-__kernel void arithmetic_add_qasymm8(TENSOR3D_DECLARATION(in1), TENSOR3D_DECLARATION(in2),
- TENSOR3D_DECLARATION(out))
-{
- // Get pixels pointer
- Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1);
- Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2);
- Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
-
- // Load data
- VEC_DATA_TYPE(int, 16)
- in1_data = CONVERT(vload16(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(int, 16));
- VEC_DATA_TYPE(int, 16)
- in2_data = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(int, 16));
-
- // Get scaled value of two inputs
- VEC_DATA_TYPE(int, 16) in1_val = in1_data + (VEC_DATA_TYPE(int, 16))(IN1_OFFSET);
- VEC_DATA_TYPE(int, 16) in2_val = in2_data + (VEC_DATA_TYPE(int, 16))(IN2_OFFSET);
-
- VEC_DATA_TYPE(int, 16)
- left_shift = (VEC_DATA_TYPE(int, 16))1 << (VEC_DATA_TYPE(int, 16))(LEFT_SHIFT);
- VEC_DATA_TYPE(int, 16) shifted_in1_val = in1_val * left_shift;
- VEC_DATA_TYPE(int, 16) shifted_in2_val = in2_val * left_shift;
-
- VEC_DATA_TYPE(int, 16)
- scaled_in1_val =
- ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(shifted_in1_val, IN1_MULT_INT, IN1_SHIFT, 16);
- VEC_DATA_TYPE(int, 16)
- scaled_in2_val =
- ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(shifted_in2_val, IN2_MULT_INT, IN2_SHIFT, 16);
-
- // Add inputs and multiply with a multiplier smaller than 1
- VEC_DATA_TYPE(int, 16) sum_val = scaled_in1_val + scaled_in2_val;
- VEC_DATA_TYPE(int, 16)
- out_val =
- ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(sum_val, RESULT_MULT_INT, RESULT_SHIFT, 16);
- out_val += (VEC_DATA_TYPE(int, 16))(RESULT_OFFSET);
-
- VEC_DATA_TYPE(uchar, 16) res = CONVERT(out_val, VEC_DATA_TYPE(uchar, 16));
-
- // TODO: Apply min-max BOUND to support fuse with relu.
- /*
- #if defined(MIN_BOUND)
- res = max(res, (uchar16)MIN_BOUND);
- #endif // defined(MIN_BOUND)
- #if defined(MAX_BOUND)
- res = min(res, (uchar16)MAX_BOUND);
- #endif // defined(MAX_BOUND)
- */
-
- // Store result
- VSTORE(16)(CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr);
-}