22.02
AclOperators.h
Go to the documentation of this file.
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/*
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* Copyright (c) 2021 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_ACL_OPERATORS_H_
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#define ARM_COMPUTE_ACL_OPERATORS_H_
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#include "
arm_compute/AclDescriptors.h
"
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#include "
arm_compute/AclTypes.h
"
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/** Used during an operator creation to validate its support */
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#define ARM_COMPUTE_VALIDATE_OPERATOR_SUPPORT ((AclOperator *)(size_t)-1)
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#ifdef __cplusplus
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extern
"C"
{
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#endif
/** __cplusplus */
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/** Create an activation operator
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*
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* Applies an activation function to a given tensor .
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* Compute Library supports a wide list of activation functions @ref AclActivationType.
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*
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* A summarized table is the following:
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* Activation Function | Mathematical Expression |
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* -------------------------|------------------------------------------------------------------------------------------------------------------------------------------|
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* Identity | \f$ f(x)= x \f$ |
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* Logistic | \f$ f(x) = \frac{1}{1 + e^{-x}} \f$ |
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* Tanh | \f$ f(x) = a \cdot tanh(b \cdot x) \f$ |
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* Relu | \f$ f(x) = max(0,x) \f$ |
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* Bounded Relu | \f$ f(x) = min(a, max(0,x)) \f$ |
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* Lower-Upper Bounded Relu | \f$ f(x) = min(a, max(b,x)) \f$ |
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* Leaky Relu | \f$ f(x) = \begin{cases} \alpha x & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ |
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* Soft Relu | \f$ f(x)= log(1+e^x) \f$ |
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* Soft Elu | \f$ f(x) = \begin{cases} \alpha (exp(x) - 1) & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ |
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* Abs | \f$ f(x)= |x| \f$ |
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* Square | \f$ f(x)= x^2 \f$ |
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* Sqrt | \f$ f(x) = \sqrt{x} \f$ |
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* Linear | \f$ f(x)= ax + b \f$ |
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* Hard Swish | \f$ f(x) = (x * relu6(x+3))/6 \f$ |
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*
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* Backends:
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* - OpenCL: ClActivationLayer
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* - Cpu : CpuActivationLayer
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*
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* @param[in, out] op Operator construct to be created if creation was successful
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* @param[in] ctx Context to be used for the creation of the operator
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* @param[in] src Source tensor descriptor. Slot id: ACL_SRC
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* @param[in] dst Destination tensor descriptor. Slot id: ACL_DST
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* @param[in] info Activation meta-data
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*
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* @return Status code
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*
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* Returns:
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* - @ref AclSuccess if function was completed successfully
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* - @ref AclOutOfMemory if there was a failure allocating memory resources
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* - @ref AclUnsupportedTarget if operator for the requested target is unsupported
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* - @ref AclInvalidArgument if a given argument is invalid
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*/
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AclStatus
AclActivation
(
AclOperator
*op,
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AclContext
ctx,
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const
AclTensorDescriptor
*
src
,
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const
AclTensorDescriptor
*
dst
,
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const
AclActivationDescriptor
info
);
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#ifdef __cplusplus
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}
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#endif
/** __cplusplus */
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#endif
/* ARM_COMPUTE_ACL_OPERATORS_H_ */
AclActivationDescriptor
Definition:
AclDescriptors.h:52
AclOperator_
Definition:
IOperator.h:37
AclDescriptors.h
arm_compute::test::validation::src
SimpleTensor< float > src
Definition:
DFT.cpp:155
AclTensorDescriptor
Definition:
AclTypes.h:191
arm_compute::test::validation::dst
auto dst
Definition:
DFT.cpp:170
AclActivation
AclStatus AclActivation(AclOperator *op, AclContext ctx, const AclTensorDescriptor *src, const AclTensorDescriptor *dst, const AclActivationDescriptor info)
__cplusplus
Definition:
AclActivation.cpp:30
arm_compute::test::validation::info
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
AclContext_
Definition:
IContext.h:33
AclTypes.h
AclStatus
AclStatus
Definition:
AclTypes.h:49
arm_compute
AclOperators.h
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