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/*
* Copyright (c) 2022 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.
*/
#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
#ifndef ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPH
#define ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPH
#include "arm_compute/core/Error.h"
#include "arm_compute/core/ITensorInfo.h"
#include <memory>
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
/** Graph of operators to execute within a Workload. This is a pure descriptive construct.
*/
class OperatorGraph final
{
public:
struct Implementation;
OperatorGraph();
~OperatorGraph();
public:
Implementation *impl();
const Implementation *impl() const;
private:
std::unique_ptr<Implementation> _impl;
};
/** Return the validity of @p op_graph, usually after performing an operation (e.g. add_tensor) on it
*
* @param[in,out] op_graph OperatorGraph to be validated
*
* @return Status
*/
Status validate(const OperatorGraph &op_graph);
/** Operator Tensor Handle
* This can be either an argument tensor, or an intermediate tensor linking 2 @ref Operator s
*/
class OpTensor final
{
public:
using Id = int;
OpTensor(Id id = {});
/** Id of the OpTensor
* @return Id
*/
Id id() const;
private:
Id _id{};
};
/** Provide order of @ref OpTensor by checking if @p t0 is "lower than" @p t1
*
* @param[in] t0 OpTensor
* @param[in] t1 OpTensor
*
* @return true if @p t0 is lower than @p t1
* @return false otherwise
*/
bool operator<(const OpTensor &t0, const OpTensor &t1);
/** Associate a TensorInfo with a newly created @ref OpTensor in the @p graph.
*
* @note @p info needs to remain in scope and valid until the workload has finished building
* @note Can pass in an empty TensorInfo for a destination Tensor, in which case @p info will be inferred from the source tensors
*
* @param[in,out] graph OperatorGraph where the tensor is added
* @param[in] info TensorInfo to be associated
*
* @return OpTensor
*/
OpTensor add_tensor(OperatorGraph &graph, ITensorInfo &info);
/** Operator Handle
* This can be used to further modify an existing operator
*/
class Operator final
{
public:
using Id = int;
Operator(Id id = {});
/** Id of the Operator
* @return Id
*/
Id id() const;
private:
Id _id{};
};
/** Provide order of @ref Operator by checking if @p op0 is "lower than" @p op1
*
* @param[in] op0 Operator
* @param[in] op1 Operator
*
* @return true if @p op0 is lower than @p op1
* @return false otherwise
*/
bool operator<(const Operator &op0, const Operator &op1);
/** Descriptor for Conv2dDescriptor operation
*/
struct Conv2dDescriptor
{
/* TOSA compliant attribute parameters start */
Padding2D pad{};
Size2D stride{ 1U, 1U };
Size2D dilation{ 1U, 1U };
/* TOSA compliant attribute parameters end */
/* Non-TOSA compliant attribute parameters start */
/* Non-TOSA compliant attribute parameters end */
};
/** Add op Conv2d to @p graph
*
* @param[in,out] graph OperatorGraph where the operator is added to
* @param[in] desc Operator descriptor
* @param[in] input Input OpTensor
* @param[in] weights Weights OpTensor
* @param[in] bias (Optional) bias OpTensor
* @param[in] dst Destination OpTensor
*
* @return Operator
*/
Operator add_op_conv2d(OperatorGraph &graph, const Conv2dDescriptor &desc, OpTensor input, OpTensor weights, OpTensor bias, OpTensor dst);
Operator add_op_conv2d(OperatorGraph &graph, const Conv2dDescriptor &desc, OpTensor input, OpTensor weights, OpTensor dst);
/** (Only for Debuging and Testing) Force a conv2d method
*
* @param[in,out] graph OperatorGraph where conv2d op is located
* @param[in] conv2d Conv2d Op
* @param[in] method Forced ConvolutionMethod
*/
void force_conv2d_method(OperatorGraph &graph, Operator conv2d, ConvolutionMethod method);
/** Descriptor for Elementwise binary operation
*
*/
struct ElementwiseDescriptor
{
/* TOSA compliant attribute parameters start */
/* TOSA compliant attribute parameters end */
/* Non-TOSA compliant attribute parameters start */
ArithmeticOperation op;
/* Non-TOSA compliant attribute parameters end */
};
/** Add op Elementwise to @p graph, and optionally describes fusion through passing of intermediate @ref OpTensor s
*
* @param[in,out] graph OperatorGraph where the operator is added to
* @param[in] desc Operator descriptor
* @param[in] lhs Lhs OpTensor
* @param[in] rhs Rhs OpTensor
* @param[in] dst Destination OpTensor
*
* @return Operator
*/
Operator add_op_elementwise_op(OperatorGraph &graph, const ElementwiseDescriptor &desc, OpTensor lhs, OpTensor rhs, OpTensor dst);
/** Descriptor for Floor operation
*
*/
struct FloorDescriptor
{
/* TOSA compliant attribute parameters start */
/* TOSA compliant attribute parameters end */
/* Non-TOSA compliant attribute parameters start */
/* Non-TOSA compliant attribute parameters end */
};
/** Add op Floor to @p graph, and optionally describes fusion through passing of intermediate @ref OpTensor s
*
* @param[in,out] graph OperatorGraph where the operator is added to
* @param[in] desc Operator descriptor
* @param[in] src Source OpTensor
* @param[in] dst Destination OpTensor
*
* @return Operator
*/
Operator add_op_floor(OperatorGraph &graph, const FloorDescriptor &desc, OpTensor src, OpTensor dst);
bool operator==(const OpTensor &t0, const OpTensor &t1);
bool operator==(const Conv2dDescriptor &conv2d0, const Conv2dDescriptor &conv2d1);
bool operator==(const ElementwiseDescriptor &, const ElementwiseDescriptor &);
bool operator==(const FloorDescriptor &, const FloorDescriptor &);
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif //ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPH
#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */
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