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Diffstat (limited to 'src/core/cpu/kernels/CpuTransposeKernel.cpp')
| -rw-r--r-- | src/core/cpu/kernels/CpuTransposeKernel.cpp | 510 |
1 files changed, 0 insertions, 510 deletions
diff --git a/src/core/cpu/kernels/CpuTransposeKernel.cpp b/src/core/cpu/kernels/CpuTransposeKernel.cpp deleted file mode 100644 index c7cafe94a8..0000000000 --- a/src/core/cpu/kernels/CpuTransposeKernel.cpp +++ /dev/null @@ -1,510 +0,0 @@ -/* - * Copyright (c) 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/CpuTransposeKernel.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" - -#include <arm_neon.h> - -namespace arm_compute -{ -namespace cpu -{ -namespace kernels -{ -namespace -{ -unsigned int num_elems_processed(size_t element_size) -{ - switch(element_size) - { - case 1: - return 8; - case 2: - case 4: - return 4; - default: - break; - } - - ARM_COMPUTE_ERROR("Element size not supported"); -} - -void transpose_8bit_elements(const ITensor *in, ITensor *out, const Window &window) -{ - const int window_step_x = 8; - const int window_step_y = 8; - const int window_start_x = window.x().start(); - const int window_end_x = window.x().end(); - const int window_start_y = window.y().start(); - const int window_end_y = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1))); - const int window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y; - const size_t input_stride_in_bytes = in->info()->strides_in_bytes()[1]; - const size_t output_stride_in_bytes = out->info()->strides_in_bytes()[1]; - - // Check if we need a left-over loop for the y dimension - bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0); - - Window window_in(window); - window_in.set(Window::DimX, Window::Dimension(0, 1, 1)); - if(left_over_loop_y) - { - // Check if window_end_y_multiple_of is greater than window_start_y - if(window_end_y_multiple_of > window_start_y) - { - window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y)); - } - else - { - window_in.set(Window::DimY, Window::Dimension(0, 0, 1)); - } - } - - Window window_out(window); - window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - - Iterator output(out, window_out); - - // Run the SIMD path if and only if the input is not a row-vector - if(in->info()->dimension(1) != 1) - { - Iterator input(in, window_in); - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Compute 8x8 elements per iteration - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const uint8x8_t row0 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 0 * input_stride_in_bytes)); - const uint8x8_t row1 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 1 * input_stride_in_bytes)); - const uint8x8_t row2 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 2 * input_stride_in_bytes)); - const uint8x8_t row3 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 3 * input_stride_in_bytes)); - const uint8x8_t row4 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 4 * input_stride_in_bytes)); - const uint8x8_t row5 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 5 * input_stride_in_bytes)); - const uint8x8_t row6 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 6 * input_stride_in_bytes)); - const uint8x8_t row7 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 7 * input_stride_in_bytes)); - - // Transpose 2x2 - const uint8x8x2_t k0_u8 = vtrn_u8(row0, row1); - const uint8x8x2_t k1_u8 = vtrn_u8(row2, row3); - const uint8x8x2_t k2_u8 = vtrn_u8(row4, row5); - const uint8x8x2_t k3_u8 = vtrn_u8(row6, row7); - - // Transpose 4x4 - const uint16x4x2_t k0_u16 = vtrn_u16(vreinterpret_u16_u8(k0_u8.val[0]), vreinterpret_u16_u8(k1_u8.val[0])); - const uint16x4x2_t k1_u16 = vtrn_u16(vreinterpret_u16_u8(k0_u8.val[1]), vreinterpret_u16_u8(k1_u8.val[1])); - const uint16x4x2_t k2_u16 = vtrn_u16(vreinterpret_u16_u8(k2_u8.val[0]), vreinterpret_u16_u8(k3_u8.val[0])); - const uint16x4x2_t k3_u16 = vtrn_u16(vreinterpret_u16_u8(k2_u8.val[1]), vreinterpret_u16_u8(k3_u8.val[1])); - - // Transpose 8x8 - const uint32x2x2_t k0_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[0]), vreinterpret_u32_u16(k2_u16.val[0])); - const uint32x2x2_t k1_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[1]), vreinterpret_u32_u16(k2_u16.val[1])); - const uint32x2x2_t k2_u32 = vtrn_u32(vreinterpret_u32_u16(k1_u16.val[0]), vreinterpret_u32_u16(k3_u16.val[0])); - const uint32x2x2_t k3_u32 = vtrn_u32(vreinterpret_u32_u16(k1_u16.val[1]), vreinterpret_u32_u16(k3_u16.val[1])); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + x * output_stride_in_bytes; - - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k0_u32.val[0]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k2_u32.val[0]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k1_u32.val[0]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k3_u32.val[0]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 4 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k0_u32.val[1]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 5 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k2_u32.val[1]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 6 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k1_u32.val[1]))); - vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 7 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k3_u32.val[1]))); - } - - // Compute left-over elements along the x dimension (1x8) - for(; x < window_end_x; ++x) - { - const uint8_t val0 = *(input.ptr() + x + 0 * input_stride_in_bytes); - const uint8_t val1 = *(input.ptr() + x + 1 * input_stride_in_bytes); - const uint8_t val2 = *(input.ptr() + x + 2 * input_stride_in_bytes); - const uint8_t val3 = *(input.ptr() + x + 3 * input_stride_in_bytes); - const uint8_t val4 = *(input.ptr() + x + 4 * input_stride_in_bytes); - const uint8_t val5 = *(input.ptr() + x + 5 * input_stride_in_bytes); - const uint8_t val6 = *(input.ptr() + x + 6 * input_stride_in_bytes); - const uint8_t val7 = *(input.ptr() + x + 7 * input_stride_in_bytes); - - uint8x8_t result = vdup_n_u8(0); - result = vset_lane_u8(val0, result, 0); - result = vset_lane_u8(val1, result, 1); - result = vset_lane_u8(val2, result, 2); - result = vset_lane_u8(val3, result, 3); - result = vset_lane_u8(val4, result, 4); - result = vset_lane_u8(val5, result, 5); - result = vset_lane_u8(val6, result, 6); - result = vset_lane_u8(val7, result, 7); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + x * output_stride_in_bytes; - - vst1_u8(output.ptr() + dst_offset_in_bytes, result); - } - }, - input, output); - } - - if(left_over_loop_y) - { - window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1)); - window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1)); - - Iterator input(in, window_in); - Iterator output(out, window_out); - - // Compute left-over elements along the y dimension (1x1) - execute_window_loop(window_in, [&](const Coordinates & id) - { - const uint8_t val0 = *input.ptr(); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + id.x() * output_stride_in_bytes; - - *(output.ptr() + dst_offset_in_bytes) = val0; - }, - input, output); - } -} - -void transpose_16bit_elements(const ITensor *in, ITensor *out, const Window &window) -{ - const int window_step_x = 4; - const int window_step_y = 4; - const int window_start_x = window.x().start(); - const int window_end_x = window.x().end(); - const int window_start_y = window.y().start(); - const int window_end_y = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1))); - const int window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y; - const size_t input_stride_in_bytes = in->info()->strides_in_bytes()[1]; - const size_t output_stride_in_bytes = out->info()->strides_in_bytes()[1]; - - // Check if we need a left-over loop for the y dimension - bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0); - - Window window_in(window); - window_in.set(Window::DimX, Window::Dimension(0, 1, 1)); - if(left_over_loop_y) - { - // Check if window_end_y_multiple_of is greater than window_start_y - if(window_end_y_multiple_of > window_start_y) - { - window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y)); - } - else - { - window_in.set(Window::DimY, Window::Dimension(0, 0, 1)); - } - } - - Window window_out(window); - window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - - Iterator output(out, window_out); - - // Run the SIMD path if and only if the input is not a row-vector - if(in->info()->dimension(1) != 1) - { - Iterator input(in, window_in); - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Compute 4x4 elements per iteration - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const uint16x4_t row0 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 0 * input_stride_in_bytes) + x); - const uint16x4_t row1 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 1 * input_stride_in_bytes) + x); - const uint16x4_t row2 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 2 * input_stride_in_bytes) + x); - const uint16x4_t row3 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 3 * input_stride_in_bytes) + x); - - // Transpose 2x2 - const uint16x4x2_t k0_u16 = vtrn_u16(row0, row1); - const uint16x4x2_t k1_u16 = vtrn_u16(row2, row3); - - // Transpose 4x4 - const uint32x2x2_t k0_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[0]), vreinterpret_u32_u16(k1_u16.val[0])); - const uint32x2x2_t k1_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[1]), vreinterpret_u32_u16(k1_u16.val[1])); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + x * output_stride_in_bytes; - - vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vreinterpret_u16_u32(k0_u32.val[0])); - vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vreinterpret_u16_u32(k1_u32.val[0])); - vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vreinterpret_u16_u32(k0_u32.val[1])); - vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vreinterpret_u16_u32(k1_u32.val[1])); - } - - // Compute left-over elements (1x4) - for(; x < window_end_x; ++x) - { - const uint16_t val0 = *(reinterpret_cast<uint16_t *>(input.ptr() + 0 * input_stride_in_bytes) + x); - const uint16_t val1 = *(reinterpret_cast<uint16_t *>(input.ptr() + 1 * input_stride_in_bytes) + x); - const uint16_t val2 = *(reinterpret_cast<uint16_t *>(input.ptr() + 2 * input_stride_in_bytes) + x); - const uint16_t val3 = *(reinterpret_cast<uint16_t *>(input.ptr() + 3 * input_stride_in_bytes) + x); - - uint16x4_t result = vdup_n_u16(0); - result = vset_lane_u16(val0, result, 0); - result = vset_lane_u16(val1, result, 1); - result = vset_lane_u16(val2, result, 2); - result = vset_lane_u16(val3, result, 3); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + x * output_stride_in_bytes; - - vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes), result); - } - }, - input, output); - } - - if(left_over_loop_y) - { - window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1)); - window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1)); - - Iterator input(in, window_in); - Iterator output(out, window_out); - - // Compute left-over elements along the y dimension (1x1) - execute_window_loop(window_in, [&](const Coordinates & id) - { - const uint16_t val0 = *(reinterpret_cast<uint16_t *>(input.ptr())); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + id.x() * output_stride_in_bytes; - - *(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes)) = val0; - }, - input, output); - } -} - -void transpose_32bit_elements(const ITensor *in, ITensor *out, const Window &window) -{ - const int window_step_x = 4; - const int window_step_y = 4; - const int window_start_x = window.x().start(); - const int window_end_x = window.x().end(); - const int window_start_y = window.y().start(); - const int window_end_y = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1))); - const int window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y; - const size_t input_stride_in_bytes = in->info()->strides_in_bytes()[1]; - const size_t output_stride_in_bytes = out->info()->strides_in_bytes()[1]; - - // Check if we need a left-over loop for the y dimension - bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0); - - Window window_in(window); - window_in.set(Window::DimX, Window::Dimension(0, 1, 1)); - if(left_over_loop_y) - { - // Check if window_end_y_multiple_of is greater than window_start_y - if(window_end_y_multiple_of > window_start_y) - { - window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y)); - } - else - { - window_in.set(Window::DimY, Window::Dimension(0, 0, 1)); - } - } - - Window window_out(window); - window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - - Iterator output(out, window_out); - - // Run the SIMD path if and only if the input is not a row-vector - if(in->info()->dimension(1) != 1) - { - Iterator input(in, window_in); - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Compute 4x4 elements per iteration - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const uint32x4_t row0 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 0 * input_stride_in_bytes) + x); - const uint32x4_t row1 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 1 * input_stride_in_bytes) + x); - const uint32x4_t row2 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 2 * input_stride_in_bytes) + x); - const uint32x4_t row3 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 3 * input_stride_in_bytes) + x); - - // Transpose 2x2 - const uint32x2x2_t k0_u32 = vtrn_u32(vget_low_u32(row0), vget_low_u32(row1)); - const uint32x2x2_t k1_u32 = vtrn_u32(vget_high_u32(row2), vget_high_u32(row3)); - const uint32x2x2_t k2_u32 = vtrn_u32(vget_high_u32(row0), vget_high_u32(row1)); - const uint32x2x2_t k3_u32 = vtrn_u32(vget_low_u32(row2), vget_low_u32(row3)); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + x * output_stride_in_bytes; - - // Swap block 01 with block 10 and store - vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vcombine_u32(k0_u32.val[0], k3_u32.val[0])); - vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vcombine_u32(k0_u32.val[1], k3_u32.val[1])); - vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vcombine_u32(k2_u32.val[0], k1_u32.val[0])); - vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vcombine_u32(k2_u32.val[1], k1_u32.val[1])); - } - - // Compute left-over elements (1x4) - for(; x < window_end_x; ++x) - { - const uint32_t val0 = *(reinterpret_cast<uint32_t *>(input.ptr() + 0 * input_stride_in_bytes) + x); - const uint32_t val1 = *(reinterpret_cast<uint32_t *>(input.ptr() + 1 * input_stride_in_bytes) + x); - const uint32_t val2 = *(reinterpret_cast<uint32_t *>(input.ptr() + 2 * input_stride_in_bytes) + x); - const uint32_t val3 = *(reinterpret_cast<uint32_t *>(input.ptr() + 3 * input_stride_in_bytes) + x); - - uint32x4_t result = vdupq_n_u32(0); - result = vsetq_lane_u32(val0, result, 0); - result = vsetq_lane_u32(val1, result, 1); - result = vsetq_lane_u32(val2, result, 2); - result = vsetq_lane_u32(val3, result, 3); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + x * output_stride_in_bytes; - - vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes), result); - } - }, - input, output); - } - - if(left_over_loop_y) - { - window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1)); - window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1)); - - Iterator input(in, window_in); - Iterator output(out, window_out); - - // Compute left-over elements along the y dimension (1x1) - execute_window_loop(window_in, [&](const Coordinates & id) - { - const uint32_t val0 = *(reinterpret_cast<uint32_t *>(input.ptr())); - - // Compute destination address - const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + id.x() * output_stride_in_bytes; - - *(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes)) = val0; - }, - input, output); - } -} -} // namespace - -void CpuTransposeKernel::configure(const ITensorInfo *src, ITensorInfo *dst) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - - // Destination auto inizialitation if not yet initialized - const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src); - auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape)); - - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate(src, dst)); - - // Note: This kernel performs 16 elements per iteration. - // However, since we use a left-over for loop on both dimensions (X and Y), we cannot have any read or write out of memory - // For this reason num_elems_processed_per_iteration_x is set to 1 - const unsigned int num_elems_processed_per_iteration_x = 1; - const unsigned int num_elems_processed_per_iteration_y = num_elems_processed(src->element_size()); - - // Configure kernel window - Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); - - // The CpuTranspose doesn't need padding so update_window_and_padding() can be skipped - Coordinates coord; - coord.set_num_dimensions(dst->num_dimensions()); - dst->set_valid_region(ValidRegion(coord, dst->tensor_shape())); - - ICpuKernel::configure(win); -} - -Status CpuTransposeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); - //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(src->data_type() == DataType::UNKNOWN); - - // Error if input is not 8 bit, 16bit or 32bit - ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->element_size() != 1 && src->element_size() != 2 && src->element_size() != 4, - "Element size not supported"); - - // Validate configured destination - if(dst->total_size() != 0) - { - const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src); - - 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{}; -} - -void CpuTransposeKernel::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: - transpose_8bit_elements(src, dst, window); - break; - case 2: - transpose_16bit_elements(src, dst, window); - break; - case 4: - transpose_32bit_elements(src, dst, window); - break; - default: - ARM_COMPUTE_ERROR("Element size not supported"); - break; - } -} - -const char *CpuTransposeKernel::name() const -{ - return "CpuTransposeKernel"; -} -} // namespace kernels -} // namespace cpu -} // namespace arm_compute |