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/*
* Copyright (c) 2017-2020 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/runtime/CL/functions/CLDirectConvolutionLayer.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
using namespace arm_compute;
CLDirectConvolutionLayer::CLDirectConvolutionLayer()
: _direct_conv_kernel(), _input_border_handler(), _activationlayer_function(), _is_activationlayer_enabled(false)
{
}
void CLDirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info)
{
configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, act_info);
}
void CLDirectConvolutionLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output,
const PadStrideInfo &conv_info,
const ActivationLayerInfo &act_info)
{
// Set GPU target
_direct_conv_kernel.set_target(CLScheduler::get().target());
// Configure direct convolution
_direct_conv_kernel.configure(compile_context, input, weights, biases, output, conv_info);
// Configure border handler
PixelValue &&zero_value(0.f);
if(is_data_type_quantized_asymmetric(input->info()->data_type()))
{
zero_value = PixelValue(0, input->info()->data_type(), input->info()->quantization_info());
}
_input_border_handler.configure(compile_context, input, _direct_conv_kernel.border_size(), BorderMode::CONSTANT, zero_value);
// Tune kernels
CLScheduler::get().tune_kernel_static(_direct_conv_kernel);
_is_activationlayer_enabled = act_info.enabled();
//Configure Activation Layer
if(_is_activationlayer_enabled)
{
_activationlayer_function.configure(compile_context, output, nullptr, act_info);
}
}
Status CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_RETURN_ON_ERROR(CLDirectConvolutionLayerKernel::validate(input, weights, biases, output, conv_info, CLScheduler::get().target()));
if(act_info.enabled())
{
ARM_COMPUTE_RETURN_ON_ERROR(CLActivationLayer::validate(output, nullptr, act_info));
}
return Status{};
}
void CLDirectConvolutionLayer::run()
{
// Run border handler
CLScheduler::get().enqueue(_input_border_handler, false);
// Run direct convolution
CLScheduler::get().enqueue(_direct_conv_kernel);
//Run Activation Layer
if(_is_activationlayer_enabled)
{
_activationlayer_function.run();
}
}
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