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/*
* Copyright (c) 2023 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 "GpuCkwKernelArgumentsHelpers.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
void cl_add_tensor_component_argument(cl::Kernel &kernel,
unsigned int &idx,
const ICLTensor *tensor,
TensorComponentType component)
{
ARM_COMPUTE_ERROR_ON(tensor == nullptr);
const auto *info = tensor->info();
const auto &strides = info->strides_in_bytes();
switch (component)
{
case TensorComponentType::OffsetFirstElement:
kernel.setArg<cl_uint>(idx++, info->offset_first_element_in_bytes());
break;
case TensorComponentType::Stride0:
kernel.setArg<cl_uint>(idx++, strides[0]);
break;
case TensorComponentType::Stride1:
kernel.setArg<cl_uint>(idx++, strides[1]);
break;
case TensorComponentType::Stride2:
kernel.setArg<cl_uint>(idx++, strides[2]);
break;
case TensorComponentType::Stride3:
kernel.setArg<cl_uint>(idx++, strides[3]);
break;
case TensorComponentType::Stride4:
kernel.setArg<cl_uint>(idx++, strides[4]);
break;
case TensorComponentType::Dim0:
kernel.setArg<cl_uint>(idx++, info->dimension(0));
break;
case TensorComponentType::Dim1:
kernel.setArg<cl_uint>(idx++, info->dimension(1));
break;
case TensorComponentType::Dim2:
kernel.setArg<cl_uint>(idx++, info->dimension(2));
break;
case TensorComponentType::Dim3:
kernel.setArg<cl_uint>(idx++, info->dimension(3));
break;
case TensorComponentType::Dim4:
kernel.setArg<cl_uint>(idx++, info->dimension(4));
break;
case TensorComponentType::Dim1xDim2:
kernel.setArg<cl_uint>(idx++, info->dimension(1) * info->dimension(2));
break;
case TensorComponentType::Dim2xDim3:
kernel.setArg<cl_uint>(idx++, info->dimension(2) * info->dimension(3));
break;
case TensorComponentType::Dim1xDim2xDim3:
kernel.setArg<cl_uint>(idx++, info->dimension(1) * info->dimension(2) * info->dimension(3));
break;
case TensorComponentType::Unknown:
default:
ARM_COMPUTE_ERROR("Unknown tensor component");
}
}
void cl_add_buffer_argument(cl::Kernel &kernel, unsigned int &idx, const cl::Buffer &buffer)
{
kernel.setArg(idx++, buffer);
}
void cl_add_texture_argument(cl::Kernel &kernel, unsigned int &idx, const cl::Image &image)
{
kernel.setArg(idx++, image);
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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