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diff --git a/src/core/cpu/kernels/CpuPermuteKernel.cpp b/src/core/cpu/kernels/CpuPermuteKernel.cpp
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-/*
- * Copyright (c) 2018-2021 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/cpu/kernels/CpuPermuteKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-namespace
-{
-#include "src/core/NEON/kernels/convolution/common/shims.hpp"
-} // namespace
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-namespace
-{
-inline bool is_permutation_supported(const PermutationVector &v)
-{
- static const std::array<PermutationVector, 2> permutations2 =
- {
- {
- PermutationVector(0U, 1U),
- PermutationVector(1U, 0U),
- }
- };
- static const std::array<PermutationVector, 6> permutations3 =
- {
- {
- PermutationVector(2U, 0U, 1U),
- PermutationVector(1U, 2U, 0U),
- PermutationVector(0U, 1U, 2U),
- PermutationVector(0U, 2U, 1U),
- PermutationVector(1U, 0U, 2U),
- PermutationVector(2U, 1U, 0U),
- }
- };
- static const std::array<PermutationVector, 24> permutations4 =
- {
- {
- PermutationVector(0U, 1U, 2U, 3U),
- PermutationVector(1U, 0U, 2U, 3U),
- PermutationVector(2U, 0U, 1U, 3U),
- PermutationVector(0U, 2U, 1U, 3U),
- PermutationVector(1U, 2U, 0U, 3U),
- PermutationVector(2U, 1U, 0U, 3U),
- PermutationVector(2U, 1U, 3U, 0U),
- PermutationVector(1U, 2U, 3U, 0U),
- PermutationVector(3U, 2U, 1U, 0U),
- PermutationVector(2U, 3U, 1U, 0U),
- PermutationVector(1U, 3U, 2U, 0U),
- PermutationVector(3U, 1U, 2U, 0U),
- PermutationVector(3U, 0U, 2U, 1U),
- PermutationVector(0U, 3U, 2U, 1U),
- PermutationVector(2U, 3U, 0U, 1U),
- PermutationVector(3U, 2U, 0U, 1U),
- PermutationVector(0U, 2U, 3U, 1U),
- PermutationVector(2U, 0U, 3U, 1U),
- PermutationVector(1U, 0U, 3U, 2U),
- PermutationVector(0U, 1U, 3U, 2U),
- PermutationVector(3U, 1U, 0U, 2U),
- PermutationVector(1U, 3U, 0U, 2U),
- PermutationVector(0U, 3U, 1U, 2U),
- PermutationVector(3U, 0U, 1U, 2U)
- }
- };
-
- return (permutations2.end() != std::find(permutations2.begin(), permutations2.end(), v)) || (permutations3.end() != std::find(permutations3.begin(), permutations3.end(), v))
- || (permutations4.end() != std::find(permutations4.begin(), permutations4.end(), v));
-}
-
-Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm)
-{
- ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(!is_permutation_supported(perm), "PermutationVector not supported.");
-
- const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm);
-
- // Validate configured destination
- if(dst->total_size() != 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), dst_shape);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
- }
-
- return Status{};
-}
-
-template <typename T>
-void run_permute(const Window &window, const ITensor *src, const ITensor *dst, const PermutationVector &perm)
-{
- const DataLayout src_layout = src->info()->data_layout();
-
- // Source window
- Window window_src = window;
-
- // we only support these two configs in src/core/NEON/kernels/convolution/common/shims.hpp, for all others
- // we have to fall back to C++
- if((src_layout == DataLayout::NCHW && perm == PermutationVector{ 2U, 0U, 1U }) || (src_layout == DataLayout::NHWC && perm == PermutationVector{ 1U, 2U, 0U }))
- {
- window_src.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().end() - window.x().start()));
- window_src.set(Window::DimY, Window::Dimension(window.y().start(), window.y().end(), window.y().end() - window.y().start()));
- window_src.set(Window::DimZ, Window::Dimension(window.z().start(), window.z().end(), window.z().end() - window.z().start()));
- window_src.set(3, Window::Dimension(window[3].start(), window[3].end(), window[3].end() - window[3].start()));
- }
-
- // Destination window
- Window window_dst(window);
- const Window::Dimension zero_window = Window::Dimension(0, 0, 0);
- for(size_t d = 0; d <= dst->info()->num_dimensions(); ++d)
- {
- window_dst.set(d, zero_window);
- }
-
- // Create iterators
- Iterator src_it(src, window_src);
- Iterator dst_it(dst, window_dst);
-
- int in_row_stride = 0;
- int in_col_stride = 0;
- int in_channel_stride = 0;
- int in_batch_stride = 0;
- int n_cols = 0;
- int n_rows = 0;
- int n_channels = 0;
- int n_batches = 0;
-
- switch(src_layout)
- {
- case DataLayout::NCHW:
- {
- in_row_stride = src->info()->strides_in_bytes().y() / sizeof(T);
- in_channel_stride = src->info()->strides_in_bytes().z() / sizeof(T);
- in_batch_stride = src->info()->strides_in_bytes()[3] / sizeof(T);
- n_cols = src->info()->tensor_shape().x();
- n_rows = window_src.y().step();
- n_channels = src->info()->tensor_shape().z();
- n_batches = src->info()->tensor_shape()[3];
- break;
- }
- case DataLayout::NHWC:
- {
- in_col_stride = src->info()->strides_in_bytes().y() / sizeof(T);
- in_row_stride = src->info()->strides_in_bytes().z() / sizeof(T);
- in_batch_stride = src->info()->strides_in_bytes()[3] / sizeof(T);
- n_channels = src->info()->tensor_shape().x();
- n_cols = window_src.y().step();
- n_rows = src->info()->tensor_shape().z();
- n_batches = src->info()->tensor_shape()[3];
- break;
- }
- default:
- {
- ARM_COMPUTE_ERROR("Invalid source data layout.");
- break;
- }
- }
-
- // CHW -> HWC
- if(src_layout == DataLayout::NCHW && perm == PermutationVector{ 2U, 0U, 1U })
- {
- const int out_channel_stride = dst->info()->strides_in_bytes().x() / sizeof(T);
- const int out_col_stride = dst->info()->strides_in_bytes().y() / sizeof(T);
- const int out_row_stride = dst->info()->strides_in_bytes().z() / sizeof(T);
- const int out_batch_stride = dst->info()->strides_in_bytes()[3] / sizeof(T);
- execute_window_loop(window_src, [&](const Coordinates & id)
- {
- const int idx = id[0] * out_col_stride + id[1] * out_row_stride + id[2] * out_channel_stride;
- reorder::nchw_to_nhwc(reinterpret_cast<const T *>(src_it.ptr()), reinterpret_cast<T *>(dst_it.ptr()) + idx,
- n_batches, n_channels, n_rows, n_cols,
- in_batch_stride, in_channel_stride, in_row_stride,
- out_batch_stride, out_row_stride, out_col_stride);
- },
- src_it, dst_it);
- }
- // HWC -> CHW
- else if(src_layout == DataLayout::NHWC && perm == PermutationVector{ 1U, 2U, 0U })
- {
- const int out_col_stride = dst->info()->strides_in_bytes().x() / sizeof(T);
- const int out_row_stride = dst->info()->strides_in_bytes().y() / sizeof(T);
- const int out_channel_stride = dst->info()->strides_in_bytes().z() / sizeof(T);
- const int out_batch_stride = dst->info()->strides_in_bytes()[3] / sizeof(T);
- execute_window_loop(window_src, [&](const Coordinates & id)
- {
- const int idx = id[0] * out_channel_stride + id[1] * out_col_stride + id[2] * out_row_stride;
- reorder::nhwc_to_nchw(reinterpret_cast<const T *>(src_it.ptr()), reinterpret_cast<T *>(dst_it.ptr()) + idx,
- n_batches, n_rows, n_cols, n_channels,
- in_batch_stride, in_row_stride, in_col_stride,
- out_batch_stride, out_channel_stride, out_row_stride);
- },
- src_it, dst_it);
- }
- else
- {
- // All other cases fall back to C++
- // Permute strides
- Strides strides = dst->info()->strides_in_bytes();
- Strides perm_strides = strides;
- permute_strides(perm_strides, perm);
- const int perm_stride_3 = src->info()->num_dimensions() >= 4 ? perm_strides[3] : 0;
- execute_window_loop(window, [&](const Coordinates & id)
- {
- const int idx = id[0] * perm_strides[0] + id[1] * perm_strides[1] + id[2] * perm_strides[2] + id[3] * perm_stride_3;
- *(reinterpret_cast<T *>(dst_it.ptr() + idx)) = *(reinterpret_cast<const T *>(src_it.ptr()));
- },
- src_it, dst_it);
- }
-}
-} // namespace
-
-void CpuPermuteKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const PermutationVector &perm)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
- const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm);
- // Destination auto inizialitation if not yet initialized
- auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape));
-
- // Perform validation step
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, perm));
-
- _perm = perm;
-
- // Configure kernel window
- Window win = calculate_max_window(*src, Steps());
-
- // This kernel doesn't need padding so update_window_and_padding() can be skipped
-
- ICpuKernel::configure(win);
-}
-
-Status CpuPermuteKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, perm));
- return Status{};
-}
-
-void CpuPermuteKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
-
- const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
- auto dst = tensors.get_tensor(TensorType::ACL_DST);
-
- switch(src->info()->element_size())
- {
- case 1:
- run_permute<uint8_t>(window, src, dst, _perm);
- break;
- case 2:
- run_permute<uint16_t>(window, src, dst, _perm);
- break;
- case 4:
- run_permute<uint32_t>(window, src, dst, _perm);
- break;
- default:
- ARM_COMPUTE_ERROR("Element size not supported");
- break;
- }
-}
-
-const char *CpuPermuteKernel::name() const
-{
- return "CpuPermuteKernel";
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute