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authorGiorgio Arena <giorgio.arena@arm.com>2020-02-11 17:21:31 +0000
committerSiCong Li <sicong.li@arm.com>2020-04-03 08:51:12 +0000
commit8b2a7d3aa119e7f1d6a03690d05eb27c5d178b9f (patch)
tree9fb4f4f328f7a17de13bef109834e8ad8a21d2ee /arm_compute/runtime/NEON/functions
parent15e4d876643c37e1db36ee1190ec52319479ffaf (diff)
downloadComputeLibrary-8b2a7d3aa119e7f1d6a03690d05eb27c5d178b9f.tar.gz
COMPMID-3101 Fuse activation with floating point elementwise operation layers in CL
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I1693f8664ba7c0dc8c076bbe7365cef1e667bd25 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2718 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions')
-rw-r--r--arm_compute/runtime/NEON/functions/NEArithmeticAddition.h24
-rw-r--r--arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h22
-rw-r--r--arm_compute/runtime/NEON/functions/NEElementwiseOperations.h90
-rw-r--r--arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h30
4 files changed, 93 insertions, 73 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h b/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h
index e17c255d2a..6cab5b3547 100644
--- a/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h
+++ b/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -37,22 +37,24 @@ class NEArithmeticAddition : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] policy Policy to use to handle overflow.
+ * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] policy Policy to use to handle overflow.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output, ConvertPolicy policy);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticAddition
*
- * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] output Output tensor. Data types supported: U8/SQASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] policy Policy to use to handle overflow.
+ * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] output Output tensor. Data types supported: U8/SQASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] policy Policy to use to handle overflow
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEARITHMETICADDITION_H */
diff --git a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
index c8c3fd3d2f..69d7b4bcfb 100644
--- a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
+++ b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
@@ -45,22 +45,24 @@ class NEArithmeticSubtraction : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
- * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
- * @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
- * @param[in] policy Policy to use to handle overflow. Convert policy cannot be WRAP if datatype is quantized.
+ * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
+ * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
+ * @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
+ * @param[in] policy Policy to use to handle overflow. Convert policy cannot be WRAP if datatype is quantized.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output, ConvertPolicy policy);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticSubtraction
*
- * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
- * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
- * @param[in] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
- * @param[in] policy Policy to use to handle overflow. Convert policy cannot be WRAP if datatype is quantized.
+ * @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
+ * @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
+ * @param[in] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
+ * @param[in] policy Policy to use to handle overflow. Convert policy cannot be WRAP if datatype is quantized.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
}
#endif /* ARM_COMPUTE_NEARITHMETICSUBTRACTION_H */
diff --git a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
index e5af6bc841..cac105cdb9 100644
--- a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
+++ b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
@@ -41,20 +41,22 @@ class NEElementwiseMax : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
+ * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max
*
- * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
+ * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEArithmeticOperationKernel for min
@@ -67,20 +69,22 @@ class NEElementwiseMin : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
+ * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min
*
- * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
+ * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEArithmeticOperationKernel for squared difference
@@ -93,20 +97,22 @@ class NEElementwiseSquaredDiff : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
+ * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference
*
- * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
+ * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEArithmeticOperationKernel for division
@@ -119,20 +125,22 @@ class NEElementwiseDivision : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
- * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
+ * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
+ * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division
*
- * @param[in] input1 First tensor input info. Data types supported: F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] input1 First tensor input info. Data types supported: F16/F32.
+ * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
+ * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEArithmeticOperationKernel for power
@@ -146,20 +154,22 @@ class NEElementwisePower : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
- * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
- * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
+ * @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
+ * @param[out] output Output tensor. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power
*
- * @param[in] input1 First tensor input info. Data types supported: F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] input1 First tensor input info. Data types supported: F16/F32.
+ * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
+ * @param[in] output Output tensor info. Data types supported: Same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEComparisonOperationKernel.
diff --git a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
index ede4327bfb..2b31032931 100644
--- a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
+++ b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
@@ -57,8 +57,10 @@ public:
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
* @param[in] rounding_policy Rounding policy.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
@@ -79,10 +81,12 @@ public:
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
* @param[in] rounding_policy Rounding policy.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
@@ -91,20 +95,22 @@ class NEComplexPixelWiseMultiplication : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output.
*
- * @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
+ * @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
+ * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+ * @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+ * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+ * @param[out] output The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- void configure(ITensor *input1, ITensor *input2, ITensor *output);
+ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplication
*
- * @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
- * @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
- * @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+ * @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
+ * @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+ * @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
}
#endif /*ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H */