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/*
* Copyright (c) 2018-2020 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 "arm_compute/core/NEON/kernels/NEStridedSliceKernel.h"
#include "arm_compute/core/CPP/Validate.h"
#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/helpers/bit_ops.h"
#include "arm_compute/core/utils/helpers/tensor_transform.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i)
{
return i == 0;
}));
// Get expected output shape
const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
starts, ends, strides,
begin_mask, end_mask, shrink_axis_mask);
ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0);
// Checks output if configured
if(output->total_size() != 0)
{
const TensorInfo exp_output_info = output->clone()->set_tensor_shape(exp_output_shape);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &exp_output_info);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *input, ITensorInfo *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
// Output tensor auto initialization if not yet initialized
const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
starts, ends, strides,
begin_mask, end_mask, shrink_axis_mask);
auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape));
// Create window
Window win = calculate_max_window(*output, Steps());
output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
return std::make_pair(Status{}, win);
}
void strided_slice_generic(const ITensor *input, ITensor *output,
const Coordinates &starts, const BiStrides &strides, int32_t shrink_axis_mask,
const Window &window)
{
Iterator output_it(output, window);
const size_t width_size = input->info()->element_size();
const bool is_shrink_w = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0);
const bool is_shrink_h = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 1);
const bool is_shrink_c = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 2);
const bool is_shrink_n = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 3);
unsigned int index = 0;
const int idx_w = is_shrink_w ? 0 : index++;
const int idx_h = is_shrink_h ? 0 : index++;
const int idx_c = is_shrink_c ? 0 : index++;
const int idx_n = is_shrink_n ? 0 : index;
BiStrides shrinked_strides;
shrinked_strides.set(0, is_shrink_w ? 0 : strides[0]);
shrinked_strides.set(1, is_shrink_h ? 0 : strides[1]);
shrinked_strides.set(2, is_shrink_c ? 0 : strides[2]);
shrinked_strides.set(3, is_shrink_n ? 0 : strides[3]);
execute_window_loop(window, [&](const Coordinates & id)
{
const int w_coord = starts[0] + (id[idx_w] * shrinked_strides[0]);
const int h_coord = starts[1] + (id[idx_h] * shrinked_strides[1]);
const int c_coord = starts[2] + (id[idx_c] * shrinked_strides[2]);
const int n_coord = starts[3] + (id[idx_n] * shrinked_strides[3]);
Coordinates in_coords(w_coord, h_coord, c_coord, n_coord);
std::copy_n(input->ptr_to_element(in_coords), width_size, output_it.ptr());
},
output_it);
}
} // namespace
NEStridedSliceKernel::NEStridedSliceKernel()
: _starts_abs(), _final_strides(), _shrink_mask()
{
}
void NEStridedSliceKernel::configure(const ITensorInfo *input, ITensorInfo *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
_shrink_mask = shrink_axis_mask;
const TensorShape &input_shape = input->tensor_shape();
Coordinates ends_abs;
std::tie(_starts_abs, ends_abs, _final_strides) = arm_compute::helpers::tensor_transform::calculate_strided_slice_coords(
input_shape,
starts, ends, strides,
begin_mask, end_mask, shrink_axis_mask);
// Configure kernel window
auto win_config = validate_and_configure_window(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
INEKernel::configure(win_config.second);
}
Status NEStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(),
starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)
.first);
return Status{};
}
void NEStridedSliceKernel::run_op(const InputTensorMap &inputs, const OutputTensorMap &outputs, 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);
// Dispatch kernel
strided_slice_generic(inputs.at(TensorType::ACL_SRC_0), outputs.at(TensorType::ACL_DST), _starts_abs, _final_strides, _shrink_mask, window);
}
} // namespace arm_compute
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