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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/CL/kernels/CLStridedSliceKernel.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/TensorInfo.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"
#include "support/StringSupport.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(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);
}
} // namespace
CLStridedSliceKernel::CLStridedSliceKernel()
: _input(nullptr), _output(nullptr)
{
}
void CLStridedSliceKernel::configure(const ICLTensor *input, ICLTensor *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
}
void CLStridedSliceKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *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->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
_input = input;
_output = output;
const TensorShape &input_shape = input->info()->tensor_shape();
Coordinates starts_abs;
Coordinates ends_abs;
Coordinates final_strides;
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->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
// Enable multiple elements processing along x if stride_x is 1 and output width greater than the access vector size
const int vec_size_x = 16 / input->info()->element_size();
const int output_width_x = output->info()->tensor_shape().x();
const bool is_shrink_on_x = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0);
const bool multi_access_x = !is_shrink_on_x && (final_strides.x() == 1) && (output_width_x / vec_size_x > 0);
// Update window if needed
if(multi_access_x)
{
Window &updated_window = std::get<1>(win_config);
updated_window.set(Window::DimX,
Window::Dimension(updated_window.x().start(), ceil_to_multiple(updated_window.x().end(), vec_size_x), vec_size_x));
}
ICLKernel::configure_internal(win_config.second);
// Create build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
{
const bool is_shrink = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, i);
build_opts.add_option("-DSTART_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(starts_abs[i]));
build_opts.add_option("-DSTRIDE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(final_strides[i]));
build_opts.add_option_if(is_shrink, "-DSHRINK_" + support::cpp11::to_string(i));
}
build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
build_opts.add_option_if_else(input_shape.num_dimensions() > 2,
"-DSRC_DEPTH=" + support::cpp11::to_string(input_shape.z()),
"-DSRC_DEPTH=1");
build_opts.add_option_if_else(_output->info()->num_dimensions() > 2,
"-DDST_DEPTH=" + support::cpp11::to_string(_output->info()->tensor_shape().z()),
"-DDST_DEPTH=1");
// Create kernel
_kernel = create_kernel(compile_context, "strided_slice", build_opts.options());
// Set config_id for enabling LWS tuning
_config_id = "strided_slice";
_config_id += "_";
_config_id += lower_string(string_from_data_type(input->info()->data_type()));
for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
{
_config_id += "_";
_config_id += support::cpp11::to_string(input->info()->dimension(i));
_config_id += "_";
_config_id += support::cpp11::to_string(starts_abs[i]);
_config_id += "_";
_config_id += support::cpp11::to_string(ends_abs[i]);
_config_id += "_";
_config_id += support::cpp11::to_string(final_strides[i]);
}
}
Status CLStridedSliceKernel::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 CLStridedSliceKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
Window slice = window_collapsed.first_slice_window_4D();
do
{
unsigned int idx = 0;
add_4D_tensor_argument(idx, _input, slice);
add_4D_tensor_argument(idx, _output, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(window_collapsed.slide_window_slice_4D(slice));
}
} // namespace arm_compute
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