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/*
* Copyright (c) 2018-2019 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 "arm_compute/core/NEON/kernels/NEUpsampleLayerKernel.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/Validate.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include <arm_neon.h>
namespace arm_compute
{
namespace
{
std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
{
const int num_elems_processed_per_iteration_x_out = num_elems_processed_per_iteration_x * info.x();
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x_out));
AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, 1, 0.5f, 0.5f);
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x_out);
bool window_changed = update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, output->valid_region());
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
std::pair<Status, Window> validate_and_configure_window_nhwc(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
{
ARM_COMPUTE_UNUSED(info);
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x));
AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration_x);
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x);
bool window_changed = update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, output->valid_region());
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
{
std::pair<Status, Window> win_config;
switch(input->data_layout())
{
case DataLayout::NCHW:
win_config = validate_and_configure_window_nchw(input, output, num_elems_processed_per_iteration_x, info);
break;
case DataLayout::NHWC:
win_config = validate_and_configure_window_nhwc(input, output, num_elems_processed_per_iteration_x, info);
break;
default:
win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{});
}
return win_config;
}
} // namespace
NEUpsampleLayerKernel::NEUpsampleLayerKernel()
: _func(nullptr), _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_x()
{
}
Status NEUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy policy)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_UNUSED(policy);
const DataLayout data_layout = input->data_layout();
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");
// Check output if configured
if(output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
}
const int num_elems_processed_per_iteration_x = 16 / input->element_size();
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
output->clone().get(), num_elems_processed_per_iteration_x, info)
.first);
return Status{};
}
void NEUpsampleLayerKernel::upsample_f32_nchw(const arm_compute::Window &window)
{
Window window_in(window);
window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
Iterator input(_input, window_in);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
const float32x4_t data_out1 = { vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 1), vgetq_lane_f32(data, 1) };
const float32x4_t data_out2 = { vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 3), vgetq_lane_f32(data, 3) };
auto out = reinterpret_cast<float *>(output.ptr());
vst1q_f32(out, data_out1);
vst1q_f32(out + 4, data_out2);
vst1q_f32(out + offset_y_out, data_out1);
vst1q_f32(out + offset_y_out + 4, data_out2);
},
input, output);
}
void NEUpsampleLayerKernel::upsample_f32_nhwc(const arm_compute::Window &window)
{
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
Iterator input(_input, window);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
auto out = reinterpret_cast<float *>(output.ptr());
vst1q_f32(out, data);
vst1q_f32(out + offset_y_out, data);
vst1q_f32(out + offset_z_out, data);
vst1q_f32(out + offset_y_out + offset_z_out, data);
},
input, output);
}
void NEUpsampleLayerKernel::upsample_qasymm8_nchw(const arm_compute::Window &window)
{
Window window_in(window);
window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
Iterator input(_input, window_in);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
const uint8x16_t data_out1 = { vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 1), vgetq_lane_u8(data, 1),
vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 3), vgetq_lane_u8(data, 3),
vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 5), vgetq_lane_u8(data, 5),
vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 7), vgetq_lane_u8(data, 7)
};
const uint8x16_t data_out2 =
{
vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 9), vgetq_lane_u8(data, 9),
vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 11), vgetq_lane_u8(data, 11),
vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 13), vgetq_lane_u8(data, 13),
vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 15), vgetq_lane_u8(data, 15)
};
auto out = reinterpret_cast<uint8_t *>(output.ptr());
vst1q_u8(out, data_out1);
vst1q_u8(out + 16, data_out2);
vst1q_u8(out + offset_y_out, data_out1);
vst1q_u8(out + offset_y_out + 16, data_out2);
},
input, output);
}
void NEUpsampleLayerKernel::upsample_qasymm8_nhwc(const arm_compute::Window &window)
{
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
Iterator input(_input, window);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(uint8_t);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
auto out = reinterpret_cast<uint8_t *>(output.ptr());
vst1q_u8(out, data);
vst1q_u8(out + offset_y_out, data);
vst1q_u8(out + offset_z_out, data);
vst1q_u8(out + offset_y_out + offset_z_out, data);
},
input, output);
}
void NEUpsampleLayerKernel::upsample_f16_nchw(const arm_compute::Window &window)
{
ARM_COMPUTE_UNUSED(window);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
Window window_in(window);
window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
Iterator input(_input, window_in);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
const float16x8_t data_out1 = { vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 1), vgetq_lane_f16(data, 1),
vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 3), vgetq_lane_f16(data, 3)
};
const float16x8_t data_out2 = { vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 5), vgetq_lane_f16(data, 5),
vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 7), vgetq_lane_f16(data, 7)
};
auto out = reinterpret_cast<float16_t *>(output.ptr());
vst1q_f16(out, data_out1);
vst1q_f16(out + 8, data_out2);
vst1q_f16(out + offset_y_out, data_out1);
vst1q_f16(out + offset_y_out + 8, data_out2);
},
input, output);
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
}
void NEUpsampleLayerKernel::upsample_f16_nhwc(const arm_compute::Window &window)
{
ARM_COMPUTE_UNUSED(window);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
Window window_out(window);
window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
Iterator input(_input, window);
Iterator output(_output, window_out);
const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float16_t);
execute_window_loop(window_out, [&](const Coordinates & id)
{
const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
auto out = reinterpret_cast<float16_t *>(output.ptr());
vst1q_f16(out, data);
vst1q_f16(out + offset_y_out, data);
vst1q_f16(out + offset_z_out, data);
vst1q_f16(out + offset_y_out + offset_z_out, data);
},
input, output);
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
}
void NEUpsampleLayerKernel::configure(const ITensor *input, ITensor *output, const Size2D &info, const InterpolationPolicy policy)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_UNUSED(policy);
_input = input;
_output = output;
_info = info;
const DataLayout data_layout = input->info()->data_layout();
TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
output->info()->set_data_layout(data_layout);
// Perform validation step
ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));
_num_elems_processed_per_iteration_x = 16 / output->info()->element_size();
switch(data_layout)
{
case DataLayout::NCHW:
{
switch(input->info()->data_type())
{
case DataType::QASYMM8:
_func = &NEUpsampleLayerKernel::upsample_qasymm8_nchw;
break;
case DataType::F32:
_func = &NEUpsampleLayerKernel::upsample_f32_nchw;
break;
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
case DataType::F16:
_func = &NEUpsampleLayerKernel::upsample_f16_nchw;
break;
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
default:
ARM_COMPUTE_ERROR("Not implemented");
}
break;
}
case DataLayout::NHWC:
{
switch(input->info()->data_type())
{
case DataType::QASYMM8:
_func = &NEUpsampleLayerKernel::upsample_qasymm8_nhwc;
break;
case DataType::F32:
_func = &NEUpsampleLayerKernel::upsample_f32_nhwc;
break;
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
case DataType::F16:
_func = &NEUpsampleLayerKernel::upsample_f16_nhwc;
break;
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
default:
ARM_COMPUTE_ERROR("Not implemented");
}
break;
}
default:
ARM_COMPUTE_ERROR("Not implemented");
}
// Configure window
std::pair<Status, Window> win_config = validate_and_configure_window(input->info(),
output->info(),
_num_elems_processed_per_iteration_x,
info);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
INEKernel::configure(win_config.second);
}
void NEUpsampleLayerKernel::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->*_func)(window);
}
} // namespace arm_compute
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