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/*
* Copyright (c) 2016, 2017 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/CLActivationLayerKernel.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/FixedPoint.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "support/ToolchainSupport.h"
#include <cmath>
using namespace arm_compute;
CLActivationLayerKernel::CLActivationLayerKernel()
: _input(nullptr), _output(nullptr)
{
}
void CLActivationLayerKernel::configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32, DataType::QASYMM8);
// For QA8 only lower/upper bounded relu is supported
if(input->info()->data_type() == DataType::QASYMM8)
{
ARM_COMPUTE_ERROR_ON_MSG(act_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
"For QASYMM8 only lower/upper bounded relu is supported");
}
if(output != nullptr)
{
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
}
const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size();
const int fixed_point_position = input->info()->fixed_point_position();
float a_const = act_info.a();
float b_const = act_info.b();
if(is_data_type_fixed_point(input->info()->data_type()))
{
a_const = static_cast<int>(lround(a_const * (1 << fixed_point_position)));
b_const = static_cast<int>(lround(b_const * (1 << fixed_point_position)));
}
// Set build options
std::set<std::string> build_opts;
build_opts.emplace(("-DACT=" + lower_string(string_from_activation_func(act_info.activation()))));
build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)));
if(input->info()->data_type() == DataType::QASYMM8)
{
// For lower/upper bounded relu make sure that the min/max values are in the quantized input space
int a_const_u8 = input->info()->quantization_info().quantize(a_const);
int b_const_u8 = input->info()->quantization_info().quantize(b_const);
build_opts.emplace(("-DA_VAL=" + support::cpp11::to_string(a_const_u8)));
build_opts.emplace(("-DB_VAL=" + support::cpp11::to_string(b_const_u8)));
}
else
{
build_opts.emplace(("-DA_VAL=" + support::cpp11::to_string(a_const)));
build_opts.emplace(("-DB_VAL=" + support::cpp11::to_string(b_const)));
}
build_opts.emplace(output == nullptr ? "-DIN_PLACE" : "");
if(is_data_type_fixed_point(input->info()->data_type()))
{
build_opts.emplace(("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(fixed_point_position)));
}
// Create kernel
if(input->info()->data_type() == DataType::QASYMM8)
{
float s1 = input->info()->quantization_info().scale;
float o1 = input->info()->quantization_info().offset;
// If output is nullptr, assume same quantization scale/offset as input
float s2 = output != nullptr ? output->info()->quantization_info().scale : s1;
float o2 = output != nullptr ? output->info()->quantization_info().offset : o1;
build_opts.emplace(("-DS1_VAL=" + support::cpp11::to_string(s1)));
build_opts.emplace(("-DS2_VAL=" + support::cpp11::to_string(s2)));
build_opts.emplace(("-DO1_VAL=" + support::cpp11::to_string(o1)));
build_opts.emplace(("-DO2_VAL=" + support::cpp11::to_string(o2)));
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("activation_layer_qa8", build_opts));
}
else
{
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("activation_layer", build_opts));
}
// Make sure _kernel is initialized before calling the parent's configure
_input = input;
_output = output;
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
if(output != nullptr)
{
AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, input->info()->valid_region());
}
else
{
update_window_and_padding(win,
AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration));
}
ICLKernel::configure(win);
}
void CLActivationLayerKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
Window slice = collapsed.first_slice_window_3D();
do
{
unsigned int idx = 0;
add_3D_tensor_argument(idx, _input, slice);
if(_output != nullptr)
{
add_3D_tensor_argument(idx, _output, slice);
}
enqueue(queue, *this, slice);
}
while(collapsed.slide_window_slice_3D(slice));
}
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