CLMeanStdDevNormalizationKernel.cpp

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/*
 * Copyright (c) 2019-2023 Arm Limited.
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 * SPDX-License-Identifier: MIT
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 * furnished to do so, subject to the following conditions:
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 * copies or substantial portions of the Software.
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#include "src/core/CL/kernels/CLMeanStdDevNormalizationKernel.h"
 
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
#include "arm_compute/core/utils/StringUtils.h"
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/StringSupport.h"
 
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float epsilon)
{
    ARM_COMPUTE_UNUSED(epsilon);
    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 2, "Input tensor cannot have more than 2 dimensions");
    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
 
    // Checks performed when output is configured
    if((output != nullptr) && (output->total_size() != 0))
    {
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
    }
    return Status{};
}
} // namespace
 
CLMeanStdDevNormalizationKernel::CLMeanStdDevNormalizationKernel()
    : _input(nullptr), _output(nullptr), _run_in_place(false)
{
    _type = CLKernelType::ELEMENTWISE;
}
 
void CLMeanStdDevNormalizationKernel::configure(ICLTensor *input, ICLTensor *output, float epsilon)
{
    configure(CLKernelLibrary::get().get_compile_context(), input, output, epsilon);
}
 
void CLMeanStdDevNormalizationKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float epsilon)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input);
 
    _run_in_place = (output == nullptr) || (output == input);
 
    ARM_COMPUTE_ERROR_THROW_ON(CLMeanStdDevNormalizationKernel::validate(input->info(), (output != nullptr) ? output->info() : nullptr, epsilon));
 
    if(output != nullptr)
    {
        auto_init_if_empty(*output->info(), *input->info());
    }
 
    _input  = input;
    _output = output;
 
    const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0));
 
    // Set build options
    CLBuildOptions build_opts;
    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
    build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
    build_opts.add_option("-DEPSILON=" + float_to_string_with_full_precision(epsilon));
    build_opts.add_option("-DWIDTH=" + support::cpp11::to_string(input->info()->dimension(0)));
    build_opts.add_option_if(input->info()->data_type() == DataType::F16, "-DMEANSTDNORM_HALF");
    build_opts.add_option_if(_run_in_place, "-DIN_PLACE");
 
    // Create kernel
    _kernel = create_kernel(compile_context, "mean_stddev_normalization", build_opts.options());
 
    // Configure kernel window
    Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
    ICLKernel::configure_internal(win);
 
    // Set config_id for enabling LWS tuning
    _config_id = "mean_stddev_normalization_layer_";
    _config_id += lower_string(string_from_data_type(input->info()->data_type()));
    _config_id += "_";
    _config_id += support::cpp11::to_string(input->info()->dimension(0));
    _config_id += "_";
    _config_id += support::cpp11::to_string(input->info()->dimension(1));
}
 
Status CLMeanStdDevNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, float epsilon)
{
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, epsilon));
    return Status{};
}
 
void CLMeanStdDevNormalizationKernel::run(const Window &window, cl::CommandQueue &queue)
{
    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
 
    Window slice = window.first_slice_window_2D();
    // Set slice step equal to width to force gws[0] to 1, as each thread normalizes across all rows
    slice.set_dimension_step(Window::DimX, _input->info()->dimension(0));
 
    do
    {
        unsigned int idx = 0;
        add_2D_tensor_argument(idx, _input, slice);
        add_2D_tensor_argument_if((!_run_in_place), idx, _output, slice);
 
        enqueue(queue, *this, slice, lws_hint());
    }
    while(window.slide_window_slice_2D(slice));
}
} // namespace arm_compute