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/*
* Copyright (c) 2022-2023 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 "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentLogits1DMaxShiftExpSum.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/dynamic_fusion/sketch/attributes/SoftmaxAttributes.h"
#include "src/core/CL/CLValidate.h"
#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
Status ClComponentLogits1DMaxShiftExpSum::validate(const Properties &properties,
const ArgumentPack<ITensorInfo> &tensors,
const Attributes &attributes)
{
ARM_COMPUTE_UNUSED(properties, attributes);
const ITensorInfo *src = tensors.get_const_tensor(TensorType::ACL_SRC_0);
const ITensorInfo *sum = tensors.get_const_tensor(TensorType::ACL_DST_0);
const ITensorInfo *dst = tensors.get_const_tensor(TensorType::ACL_DST_1);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(sum);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst);
// 1. Check validity
// All tensor infos are initialized
ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0);
ARM_COMPUTE_RETURN_ERROR_ON(sum->tensor_shape().total_size() == 0);
ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0);
// Check for mismatches in shapes and data types
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst, sum);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
// Device requirements are met
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
// 2. Check support level
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
return Status{};
}
ClComponentLogits1DMaxShiftExpSum::ClComponentLogits1DMaxShiftExpSum(ComponentId id,
const Properties &properties,
const ArgumentPack<ITensorInfo> &tensors,
const Attributes &attributes)
: IGpuKernelComponent{id, properties, tensors},
_component_writer{std::make_unique<ClTemplateLogits1DMaxShiftExpSum>(id, tensors, attributes)}
{
}
ClComponentLogits1DMaxShiftExpSum::~ClComponentLogits1DMaxShiftExpSum()
{
}
const IGpuTemplateComponentWriter *ClComponentLogits1DMaxShiftExpSum::template_writer() const
{
return _component_writer.get();
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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