Remove Compute Vision Neon support

Resolves COMPMID-4150

Change-Id: I316e8ab97de796666c71eadfde894715fcf4a1aa
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5141
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 162 deletions

diff --git a/src/core/NEON/kernels/NEMeanStdDevKernel.cpp b/src/core/NEON/kernels/NEMeanStdDevKernel.cpp
deleted file mode 100644
index a6bb9f2ef7..0000000000
--- a/src/core/NEON/kernels/NEMeanStdDevKernel.cpp
+++ /dev/null
@@ -1,162 +0,0 @@
-/*
- * Copyright (c) 2016-2020 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 "src/core/NEON/kernels/NEMeanStdDevKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IAccessWindow.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-#include <arm_neon.h>
-#include <cmath>
-#include <tuple>
-#include <utility>
-
-using namespace arm_compute;
-
-namespace arm_compute
-{
-class Coordinates;
-} // namespace arm_compute
-
-namespace
-{
-template <bool calc_sum_squared>
-std::pair<uint64x1_t, uint64x1_t> accumulate(const Window &window, Iterator &iterator)
-{
-    uint64x1_t sum         = vdup_n_u64(0);
-    uint64x1_t sum_squared = vdup_n_u64(0);
-
-    // Calculate sum
-    execute_window_loop(window, [&](const Coordinates &)
-    {
-        const uint8x16_t in_data = vld1q_u8(iterator.ptr());
-
-        // Sum of the low and high elements of data
-        const uint16x8_t tmp0 = vaddl_u8(vget_low_u8(in_data), vget_high_u8(in_data));
-        const uint32x4_t tmp1 = vaddl_u16(vget_low_u16(tmp0), vget_high_u16(tmp0));
-        const uint32x2_t tmp2 = vadd_u32(vget_low_u32(tmp1), vget_high_u32(tmp1));
-
-        // Update sum
-        sum = vpadal_u32(sum, tmp2);
-
-        if(calc_sum_squared)
-        {
-            const uint16x8_t square_data_low  = vmull_u8(vget_low_u8(in_data), vget_low_u8(in_data));
-            const uint16x8_t square_data_high = vmull_u8(vget_high_u8(in_data), vget_high_u8(in_data));
-
-            // Sum of the low and high elements of data
-            const uint32x4_t tmp0_low  = vaddl_u16(vget_low_u16(square_data_low), vget_high_u16(square_data_low));
-            const uint32x4_t tmp0_high = vaddl_u16(vget_low_u16(square_data_high), vget_high_u16(square_data_high));
-            const uint32x4_t tmp1      = vaddq_u32(tmp0_low, tmp0_high);
-            const uint32x2_t tmp2      = vadd_u32(vget_low_u32(tmp1), vget_high_u32(tmp1));
-
-            // Update sum
-            sum_squared = vpadal_u32(sum_squared, tmp2);
-        }
-    },
-    iterator);
-
-    return std::make_pair(sum, sum_squared);
-}
-} // namespace
-
-NEMeanStdDevKernel::NEMeanStdDevKernel()
-    : _input(nullptr), _mean(nullptr), _stddev(nullptr), _global_sum(nullptr), _global_sum_squared(nullptr), _mtx(), _border_size(0)
-{
-}
-
-BorderSize NEMeanStdDevKernel::border_size() const
-{
-    return _border_size;
-}
-
-void NEMeanStdDevKernel::configure(const IImage *input, float *mean, uint64_t *global_sum, float *stddev, uint64_t *global_sum_squared)
-{
-    ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
-    ARM_COMPUTE_ERROR_ON(nullptr == mean);
-    ARM_COMPUTE_ERROR_ON(nullptr == global_sum);
-    ARM_COMPUTE_ERROR_ON(stddev && nullptr == global_sum_squared);
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
-
-    _input              = input;
-    _mean               = mean;
-    _stddev             = stddev;
-    _global_sum         = global_sum;
-    _global_sum_squared = global_sum_squared;
-
-    constexpr unsigned int num_elems_processed_per_iteration = 16;
-
-    _border_size = BorderSize(ceil_to_multiple(input->info()->dimension(0), num_elems_processed_per_iteration) - input->info()->dimension(0));
-
-    // Configure kernel window
-    Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
-
-    update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration));
-
-    INEKernel::configure(win);
-}
-
-void NEMeanStdDevKernel::run(const Window &window, const ThreadInfo &info)
-{
-    ARM_COMPUTE_UNUSED(info);
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
-    Iterator input(_input, window);
-
-    uint64x1_t local_sum         = vdup_n_u64(0);
-    uint64x1_t local_sum_squared = vdup_n_u64(0);
-
-    if(_stddev != nullptr)
-    {
-        std::tie(local_sum, local_sum_squared) = accumulate<true>(window, input);
-    }
-    else
-    {
-        std::tie(local_sum, local_sum_squared) = accumulate<false>(window, input);
-    }
-
-    const float num_pixels = _input->info()->dimension(0) * _input->info()->dimension(1);
-
-    // Merge sum and calculate mean and stddev
-    arm_compute::unique_lock<arm_compute::Mutex> lock(_mtx);
-
-    *_global_sum += vget_lane_u64(local_sum, 0);
-
-    const float mean = *_global_sum / num_pixels;
-    *_mean           = mean;
-
-    if(_stddev != nullptr)
-    {
-        const uint64_t tmp_sum_squared = vget_lane_u64(local_sum_squared, 0);
-        *_global_sum_squared += tmp_sum_squared;
-        *_stddev = std::sqrt((*_global_sum_squared / num_pixels) - (mean * mean));
-    }
-
-    lock.unlock();
-}