diff options
Diffstat (limited to 'arm_compute/runtime')
18 files changed, 60 insertions, 151 deletions
diff --git a/arm_compute/runtime/CL/ICLOperator.h b/arm_compute/runtime/CL/ICLOperator.h index c9fdd864de..2d6c96e815 100644 --- a/arm_compute/runtime/CL/ICLOperator.h +++ b/arm_compute/runtime/CL/ICLOperator.h @@ -55,7 +55,8 @@ public: // Inherited methods overridden: void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; - void prepare(OperatorTensorMap constants) override final; + void prepare(OperatorTensorMap constants) override; + MemoryRequirements workspace() const override; protected: std::unique_ptr<ICLKernel> _kernel; diff --git a/arm_compute/runtime/CL/functions/CLActivationLayer.h b/arm_compute/runtime/CL/functions/CLActivationLayer.h index d7cc67a647..632487c78d 100644 --- a/arm_compute/runtime/CL/functions/CLActivationLayer.h +++ b/arm_compute/runtime/CL/functions/CLActivationLayer.h @@ -98,7 +98,7 @@ private: namespace experimental { /** Basic function to run @ref CLActivationLayerKernel */ -class CLActivationLayer : public ICLOperator +class CLActivation : public ICLOperator { public: /** Set the input and output tensor. @@ -120,9 +120,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental } // namespace arm_compute diff --git a/arm_compute/runtime/CL/functions/CLConcatenateLayer.h b/arm_compute/runtime/CL/functions/CLConcatenateLayer.h index 4e8a95be43..99a2053a5a 100644 --- a/arm_compute/runtime/CL/functions/CLConcatenateLayer.h +++ b/arm_compute/runtime/CL/functions/CLConcatenateLayer.h @@ -113,11 +113,11 @@ namespace experimental * -# @ref CLDepthConcatenateLayerKernel (if underlying concatenation axis is 2). * -# @ref CLBatchConcatenateLayerKernel (if underlying concatenation axis is 3). */ -class CLConcatenateLayer : public ICLOperator +class CLConcatenation : public ICLOperator { public: /** Default constructor */ - CLConcatenateLayer(); + CLConcatenation(); /** Initialise the kernel's inputs vector and output. * * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis. @@ -144,7 +144,6 @@ public: static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis); // Inherited methods overridden: - MemoryRequirements workspace() const override; void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; private: diff --git a/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h b/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h index e4268c1592..5208bfe404 100644 --- a/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h +++ b/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h @@ -356,7 +356,7 @@ private: namespace experimental { /** Basic function to perform inverse square root on an input tensor. */ -class CLRsqrtLayer : public ICLOperator +class CLRsqrt : public ICLOperator { public: /** Initialize the function @@ -380,13 +380,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to perform exponential on an input tensor. */ -class CLExpLayer : public ICLOperator +class CLExp : public ICLOperator { public: /** Initialize the function @@ -410,13 +407,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to negate an input tensor. */ -class CLNegLayer : public ICLOperator +class CLNeg : public ICLOperator { public: /** Initialize the function @@ -440,13 +434,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to calculate sine of an input tensor. */ -class CLSinLayer : public ICLOperator +class CLSin : public ICLOperator { public: /** Initialize the function @@ -470,13 +461,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to perform elementwise log on an input tensor. */ -class CLLogLayer : public ICLOperator +class CLLog : public ICLOperator { public: /** Initialize the function @@ -500,13 +488,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to get the absolute value of an input tensor. */ -class CLAbsLayer : public ICLOperator +class CLAbs : public ICLOperator { public: /** Initialize the function @@ -530,13 +515,10 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to get the round (to the nearest even) value of an input tensor. */ -class CLRoundLayer : public ICLOperator +class CLRound : public ICLOperator { public: /** Initialize the function @@ -560,9 +542,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental } // namespace arm_compute diff --git a/arm_compute/runtime/CL/functions/CLReshapeLayer.h b/arm_compute/runtime/CL/functions/CLReshapeLayer.h index 175fbffd8d..7fc6c3b864 100644 --- a/arm_compute/runtime/CL/functions/CLReshapeLayer.h +++ b/arm_compute/runtime/CL/functions/CLReshapeLayer.h @@ -81,7 +81,7 @@ private: namespace experimental { /** Basic function to run @ref CLReshapeLayerKernel */ -class CLReshapeLayer : public ICLOperator +class CLReshape : public ICLOperator { public: /** Initialise the kernel's inputs and outputs @@ -100,10 +100,7 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental -} +} // namespace arm_compute #endif /*ARM_COMPUTE_CLRESHAPELAYER_H */ diff --git a/arm_compute/runtime/CL/functions/CLSlice.h b/arm_compute/runtime/CL/functions/CLSlice.h index 6fe62acaf5..23c398cb41 100644 --- a/arm_compute/runtime/CL/functions/CLSlice.h +++ b/arm_compute/runtime/CL/functions/CLSlice.h @@ -68,9 +68,6 @@ public: * @return A status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/CL/functions/CLStridedSlice.h b/arm_compute/runtime/CL/functions/CLStridedSlice.h index 394d8c4f59..fdbef81f7d 100644 --- a/arm_compute/runtime/CL/functions/CLStridedSlice.h +++ b/arm_compute/runtime/CL/functions/CLStridedSlice.h @@ -156,9 +156,6 @@ public: static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental } // namespace arm_compute diff --git a/arm_compute/runtime/NEON/INEOperator.h b/arm_compute/runtime/NEON/INEOperator.h index 004abb245f..f91305543f 100644 --- a/arm_compute/runtime/NEON/INEOperator.h +++ b/arm_compute/runtime/NEON/INEOperator.h @@ -55,7 +55,8 @@ public: // Inherited methods overridden: void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; - void prepare(OperatorTensorMap constants) override final; + void prepare(OperatorTensorMap constants) override; + MemoryRequirements workspace() const override; protected: std::unique_ptr<INEKernel> _kernel; diff --git a/arm_compute/runtime/NEON/functions/NEActivationLayer.h b/arm_compute/runtime/NEON/functions/NEActivationLayer.h index e5a1e4edea..cfece5c392 100644 --- a/arm_compute/runtime/NEON/functions/NEActivationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEActivationLayer.h @@ -109,9 +109,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental } // namespace arm_compute diff --git a/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h b/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h index 6c8dbed2c8..e10771ef4b 100644 --- a/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h +++ b/arm_compute/runtime/NEON/functions/NEArithmeticAddition.h @@ -72,9 +72,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h index 0dbbc51555..a38335c59b 100644 --- a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h +++ b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h @@ -89,9 +89,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h index 02c27e20e6..73c62330c5 100644 --- a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h +++ b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h @@ -103,11 +103,11 @@ namespace experimental * -# @ref NEDepthConcatenateLayerKernel (if underlying concatenation axis is 2). * -# @ref NEBatchConcatenateLayerKernel (if underlying concatenation axis is 3). */ -class NEConcatenateLayer : public INEOperator +class NEConcatenation : public INEOperator { public: /** Default constructor */ - NEConcatenateLayer(); + NEConcatenation(); /** Initialise the kernel's inputs vector and output. * * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis. @@ -132,7 +132,6 @@ public: static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis); // Inherited methods overridden: - MemoryRequirements workspace() const override; void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; private: diff --git a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h index ac88a10d24..7d9dac761f 100644 --- a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h +++ b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h @@ -386,25 +386,20 @@ class NEElementwiseMax : public INEOperator public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] 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. + * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. + * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Same as @p input1. */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); /** 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] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. + * @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. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); }; /** Basic function to run @ref NEArithmeticOperationKernel for min @@ -417,25 +412,20 @@ class NEElementwiseMin : public INEOperator public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] 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. + * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. + * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Same as @p input1. */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); /** 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] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. + * @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. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); }; /** Basic function to run @ref NEArithmeticOperationKernel for squared difference @@ -448,25 +438,20 @@ class NEElementwiseSquaredDiff : public INEOperator public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] 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. + * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. + * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Same as @p input1. */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); /** 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] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. + * @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. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); }; /** Basic function to run @ref NEArithmeticOperationKernel for division @@ -479,25 +464,20 @@ class NEElementwiseDivision : public INEOperator public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input info. Data types supported: F16/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] 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. + * @param[in, out] input1 First tensor input info. Data types supported: F16/F32. + * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Same as @p input1. */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); /** 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] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. + * @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. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); }; /** Basic function to run @ref NEArithmeticOperationKernel for power @@ -511,25 +491,20 @@ class NEElementwisePower : public INEOperator public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input info. Data types supported: F16/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] 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. + * @param[in, out] input1 First tensor input info. Data types supported: F16/F32. + * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Same as @p input1. */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); /** 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] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. + * @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. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); }; /** Basic function to run @ref NEComparisonOperationKernel. @@ -558,9 +533,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to run @ref NEComparisonOperationKernel @@ -588,9 +560,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to run equal comparison. */ diff --git a/arm_compute/runtime/NEON/functions/NEPReluLayer.h b/arm_compute/runtime/NEON/functions/NEPReluLayer.h index 3ec6eb2bc7..756058b5ec 100644 --- a/arm_compute/runtime/NEON/functions/NEPReluLayer.h +++ b/arm_compute/runtime/NEON/functions/NEPReluLayer.h @@ -38,7 +38,7 @@ namespace experimental * * @note The function implements an activation layer with the PRELU activation function. */ -class NEPReluLayer : public INEOperator +class NEPRelu : public INEOperator { public: /** Set the input and output tensor. @@ -57,9 +57,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h index 29677b7462..3c1aa5220c 100644 --- a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h +++ b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h @@ -102,9 +102,6 @@ public: */ 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()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; /** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */ @@ -129,9 +126,6 @@ public: * @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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/NEON/functions/NEReshapeLayer.h b/arm_compute/runtime/NEON/functions/NEReshapeLayer.h index f13c75f55f..2ca6660139 100644 --- a/arm_compute/runtime/NEON/functions/NEReshapeLayer.h +++ b/arm_compute/runtime/NEON/functions/NEReshapeLayer.h @@ -78,7 +78,7 @@ private: namespace experimental { /** Basic function to run @ref NEReshapeLayerKernel */ -class NEReshapeLayer : public INEOperator +class NEReshape : public INEOperator { public: /** Initialise the kernel's inputs and outputs @@ -96,9 +96,6 @@ public: * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental } // namespace arm_compute diff --git a/arm_compute/runtime/NEON/functions/NESlice.h b/arm_compute/runtime/NEON/functions/NESlice.h index 0bb639dfd7..28628778cb 100644 --- a/arm_compute/runtime/NEON/functions/NESlice.h +++ b/arm_compute/runtime/NEON/functions/NESlice.h @@ -67,9 +67,6 @@ public: * @return A status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental diff --git a/arm_compute/runtime/NEON/functions/NEStridedSlice.h b/arm_compute/runtime/NEON/functions/NEStridedSlice.h index 15ff0b9aaf..f9c94f5301 100644 --- a/arm_compute/runtime/NEON/functions/NEStridedSlice.h +++ b/arm_compute/runtime/NEON/functions/NEStridedSlice.h @@ -73,9 +73,6 @@ public: static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0); - - // Inherited methods overridden: - MemoryRequirements workspace() const override; }; } // namespace experimental |