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Diffstat (limited to 'src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp187
1 files changed, 0 insertions, 187 deletions
diff --git a/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp b/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp
deleted file mode 100644
index 9011680c9b..0000000000
--- a/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp
+++ /dev/null
@@ -1,187 +0,0 @@
-/*
- * Copyright (c) 2016-2021 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/NEGEMMInterleave4x4Kernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/NEON/INEKernel.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-#include <arm_neon.h>
-#include <cstddef>
-#include <cstdint>
-#include <tuple>
-
-using namespace arm_compute;
-using namespace arm_compute::misc::shape_calculator;
-
-namespace
-{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
- //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions.
- ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-
- if(output->total_size() != 0)
- {
- TensorShape output_shape = input->tensor_shape();
- output_shape.set(0, input->dimension(0) * 4);
- output_shape.set(1, std::ceil(input->dimension(1) / 4.0f));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
- }
-
- return Status{};
-}
-} // namespace
-
-NEGEMMInterleave4x4Kernel::NEGEMMInterleave4x4Kernel()
- : _func(nullptr)
-{
-}
-
-void NEGEMMInterleave4x4Kernel::configure(const ITensor *input, ITensor *output)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
- // Output auto inizialitation if not yet initialized
- auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_interleaved_shape(*input->info())));
-
- // Perform validate step
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
-
- _input = input;
- _output = output;
-
- switch(input->info()->element_size())
- {
- case 1:
- _func = &NEGEMMInterleave4x4Kernel::gemm_interleave4x4<uint8_t>;
- break;
- case 2:
- _func = &NEGEMMInterleave4x4Kernel::gemm_interleave4x4<uint16_t>;
- break;
- case 4:
- _func = &NEGEMMInterleave4x4Kernel::gemm_interleave4x4<uint32_t>;
- break;
- default:
- ARM_COMPUTE_ERROR_ON("Element size not supported");
- break;
- }
-
- Window win = calculate_max_window(*input->info(), Steps(1, 4));
-
- INEKernel::configure(win);
-}
-
-Status NEGEMMInterleave4x4Kernel::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
-
- return Status{};
-}
-
-template <typename ScalarType>
-void NEGEMMInterleave4x4Kernel::gemm_interleave4x4(const ITensor *input, ITensor *output, const Window &window)
-{
- const size_t window_start_x = window.x().start();
- const size_t window_end_x = window.x().end();
-
- const size_t in_height = input->info()->dimension(1);
- const size_t in_stride = input->info()->strides_in_bytes()[1];
-
- const size_t partial_y = in_height % 4;
-
- // Set window for the input tensor
- Window win = window;
- win.set(Window::DimX, Window::Dimension(0, 1, 1));
-
- // Set window for the output tensor
- Window win_out(window);
- win_out.set(Window::DimX, Window::Dimension(0, 1, 1));
- win_out.scale(Window::DimY, 0.25f);
-
- Iterator in(input, win);
- Iterator out(output, win_out);
-
- execute_window_loop(win, [&](const Coordinates & id)
- {
- if(id.y() + 4 <= static_cast<int>(in_height))
- {
- for(size_t x = window_start_x; x < window_end_x; ++x)
- {
- const ScalarType data[4] =
- {
- *(reinterpret_cast<const ScalarType *>(in.ptr() + 0 * in_stride) + x),
- *(reinterpret_cast<const ScalarType *>(in.ptr() + 1 * in_stride) + x),
- *(reinterpret_cast<const ScalarType *>(in.ptr() + 2 * in_stride) + x),
- *(reinterpret_cast<const ScalarType *>(in.ptr() + 3 * in_stride) + x),
- };
- std::memcpy(out.ptr() + x * 4 * sizeof(ScalarType), data, 4 * sizeof(ScalarType));
- }
- }
- else
- {
- for(size_t x = window_start_x; x < window_end_x; ++x)
- {
- ScalarType data[4] = { 0, 0, 0, 0 };
-
- for(size_t y = 0; y < partial_y; ++y)
- {
- data[y] = *(reinterpret_cast<const ScalarType *>(in.ptr() + y * in_stride) + x);
- }
-
- std::memcpy(out.ptr() + x * 4 * sizeof(ScalarType), data, 4 * sizeof(ScalarType));
- }
- }
- },
- in, out);
-}
-
-void NEGEMMInterleave4x4Kernel::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);
- ARM_COMPUTE_ERROR_ON(_func == nullptr);
- /*
- * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values)
- * |a00 a01 a02 a03|
- * |a10 a11 a12 a13|
- * |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 |
- * |a30 a31 a32 a33|
- *
- * After this operation, the output matrix will have the following shape: [ height * 4, ceil(width / 4.0f) ]
- */
- (this->*_func)(_input, _output, window);
-}
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