Enumerations
enum	miopenFusionDirection_t { miopenVerticalFusion = 0 , miopenHorizontalFusion = 1 }
	Kernel fusion direction in the network. More...

Functions
	MIOPEN_DECLARE_OBJECT (miopenFusionPlanDescriptor)
	MIOpen fusion interface. More...

miopenStatus_t	miopenCreateFusionPlan (miopenFusionPlanDescriptor_t *fusePlanDesc, const miopenFusionDirection_t fuseDirection, const miopenTensorDescriptor_t inputDesc)
	Creates the kenrel fusion plan descriptor object. More...

miopenStatus_t	miopenDestroyFusionPlan (miopenFusionPlanDescriptor_t fusePlanDesc)
	Destroy the fusion plan descriptor object. More...

miopenStatus_t	miopenCompileFusionPlan (miopenHandle_t handle, miopenFusionPlanDescriptor_t fusePlanDesc)
	Compiles the fusion plan. More...

miopenStatus_t	miopenFusionPlanGetOp (miopenFusionPlanDescriptor_t fusePlanDesc, const int op_idx, miopenFusionOpDescriptor_t *op)
	Allows access to the operators in a fusion plan. More...

miopenStatus_t	miopenFusionPlanGetWorkSpaceSize (miopenHandle_t handle, miopenFusionPlanDescriptor_t fusePlanDesc, size_t *workSpaceSize, miopenConvFwdAlgorithm_t algo)
	Query the workspace size required for the fusion plan. More...

miopenStatus_t	miopenFusionPlanConvolutionGetAlgo (miopenFusionPlanDescriptor_t fusePlanDesc, const int requestAlgoCount, int returnedAlgoCount, miopenConvFwdAlgorithm_t returnedAlgos)
	Returns the supported algorithms for the convolution operator in the Fusion Plan. More...

miopenStatus_t	miopenFusionPlanConvolutionSetAlgo (miopenFusionPlanDescriptor_t fusePlanDesc, miopenConvFwdAlgorithm_t algo)
	Requests the fusion runtime to choose a particular algorithm for the added convolution operation. More...

miopenStatus_t	miopenCreateOpConvForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *convOp, miopenConvolutionDescriptor_t convDesc, const miopenTensorDescriptor_t wDesc)
	Creates forward convolution operator. More...

miopenStatus_t	miopenCreateOpActivationForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *activFwdOp, miopenActivationMode_t mode)
	Creates a forward activation operator. More...

miopenStatus_t	miopenCreateOpActivationBackward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *activBwdOp, miopenActivationMode_t mode)
	Creates a backward activation operator. More...

miopenStatus_t	miopenCreateOpBiasForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *biasOp, const miopenTensorDescriptor_t bDesc)
	Creates a forward bias operator. More...

miopenStatus_t	miopenCreateOpBatchNormInference (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnOp, const miopenBatchNormMode_t bn_mode, const miopenTensorDescriptor_t bnScaleBiasMeanVarDesc)
	Creates a forward inference batch normalization operator. More...

miopenStatus_t	miopenCreateOpBatchNormForward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnFwdOp, const miopenBatchNormMode_t bn_mode, bool runningMeanVariance)
	Creates a forward training batch normalization operator. More...

miopenStatus_t	miopenCreateOpBatchNormBackward (miopenFusionPlanDescriptor_t fusePlanDesc, miopenFusionOpDescriptor_t *bnBwdOp, const miopenBatchNormMode_t bn_mode)
	Creates a back propagation batch normalization operator. More...

miopenStatus_t	miopenCreateOperatorArgs (miopenOperatorArgs_t *args)
	Creates an operator argument object. More...

miopenStatus_t	miopenDestroyOperatorArgs (miopenOperatorArgs_t args)
	Destroys an operator argument object. More...

miopenStatus_t	miopenSetOpArgsConvForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t convOp, const void alpha, const void beta, const void *w)
	Sets the arguments for forward convolution op. More...

miopenStatus_t	miopenSetOpArgsActivForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t activFwdOp, const void alpha, const void beta, double activAlpha, double activBeta, double activGamma)
	Sets the arguments for forward activation op. More...

miopenStatus_t	miopenSetOpArgsActivBackward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t activBwdOp, const void alpha, const void beta, const void y, const void reserved, double activAlpha, double activBeta, double activGamma)
	Sets the arguments for backward activation op. More...

miopenStatus_t	miopenSetOpArgsBatchNormInference (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void bnScale, const void bnBias, const void estimatedMean, const void estimatedVariance, double epsilon)
	Sets the arguments for inference batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBatchNormForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void bnScale, const void bnBias, void savedMean, void savedInvVariance, void runningMean, void runningVariance, double expAvgFactor, double epsilon)
	Sets the arguments for forward batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBatchNormBackward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t bnOp, const void alpha, const void beta, const void x, const void bnScale, const void bnBias, void resultBnScaleDiff, void resultBnBiasDiff, const void savedMean, const void *savedInvVariance)
	Sets the arguments for backward batch normalization op. More...

miopenStatus_t	miopenSetOpArgsBiasForward (miopenOperatorArgs_t args, const miopenFusionOpDescriptor_t biasOp, const void alpha, const void beta, const void *bias)
	Sets the arguments for forward bias op. More...

miopenStatus_t	miopenExecuteFusionPlan (const miopenHandle_t handle, const miopenFusionPlanDescriptor_t fusePlanDesc, const miopenTensorDescriptor_t inputDesc, const void input, const miopenTensorDescriptor_t outputDesc, void output, miopenOperatorArgs_t args)
	Executes the fusion plan. More...

miopenStatus_t	miopenConvolutionBiasActivationForward (miopenHandle_t handle, const void alpha1, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t wDesc, const void w, const miopenConvolutionDescriptor_t convDesc, miopenConvFwdAlgorithm_t algo, void workspace, size_t workspaceSizeInBytes, const void alpha2, const miopenTensorDescriptor_t zDesc, const void z, const miopenTensorDescriptor_t biasDesc, const void bias, const miopenActivationDescriptor_t activationDesc, const miopenTensorDescriptor_t yDesc, void y)
	Prepares and executes the Convlution+Bias+Activation Fusion. More...

Detailed Description

Enumeration Type Documentation

◆ miopenFusionDirection_t

enum miopenFusionDirection_t

Kernel fusion direction in the network.

Enumerator
miopenVerticalFusion	fuses layers vertically, current the only supported mode
miopenHorizontalFusion	fuses layers horizontally, this is unimplemented

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

Function Documentation

◆ MIOPEN_DECLARE_OBJECT()

MIOPEN_DECLARE_OBJECT ( miopenFusionPlanDescriptor )

MIOpen fusion interface.

◆ miopenCompileFusionPlan()

miopenStatus_t miopenCompileFusionPlan	(	miopenHandle_t	handle,
		miopenFusionPlanDescriptor_t	fusePlanDesc
	)

Compiles the fusion plan.

Parameters

handle	MIOpen handle (input)
fusePlanDesc	A fusion plan descriptor (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenConvolutionBiasActivationForward()

miopenStatus_t miopenConvolutionBiasActivationForward	(	miopenHandle_t	handle,
		const void *	alpha1,
		const miopenTensorDescriptor_t	xDesc,
		const void *	x,
		const miopenTensorDescriptor_t	wDesc,
		const void *	w,
		const miopenConvolutionDescriptor_t	convDesc,
		miopenConvFwdAlgorithm_t	algo,
		void *	workspace,
		size_t	workspaceSizeInBytes,
		const void *	alpha2,
		const miopenTensorDescriptor_t	zDesc,
		const void *	z,
		const miopenTensorDescriptor_t	biasDesc,
		const void *	bias,
		const miopenActivationDescriptor_t	activationDesc,
		const miopenTensorDescriptor_t	yDesc,
		void *	y
	)

Prepares and executes the Convlution+Bias+Activation Fusion.

Parameters

handle	MIOpen handle (input)
alpha1	floating point scaling factor, allocated on the host (input)
xDesc	Tensor descriptor for input data tensor x (input)
x	Data tensor x (input)
wDesc	Tensor descriptor for weight tensor w (input)
w	Weights tensor w (input)
convDesc	Convolution layer descriptor (input)
algo	Algorithm selected (inputs)
workspace	Pointer to workspace required (input)
workspaceSizeInBytes	Size of the memory in bytes pointed to by workSpace above
alpha2	floating point scaling factor, allocated on the host (input)
zDesc	Tensor descriptor for tensor z (input)
z	Data tensor z (input)
biasDesc	Tensor descriptor for input data tensor x (input)
bias	Data tensor bias (input)
activationDesc	Activation descriptor that specifies the activation mode
yDesc	Tensor descriptor for output data tensor y (input)
y	Output data tensor

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateFusionPlan()

miopenStatus_t miopenCreateFusionPlan	(	miopenFusionPlanDescriptor_t *	fusePlanDesc,
		const miopenFusionDirection_t	fuseDirection,
		const miopenTensorDescriptor_t	inputDesc
	)

Creates the kenrel fusion plan descriptor object.

Parameters

fusePlanDesc	Pointer to a fusion plan (output)
fuseDirection	Horizontal or Vertical fusion (input)
inputDesc	Descriptor to tensor for the input (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpActivationBackward()

miopenStatus_t miopenCreateOpActivationBackward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	activBwdOp,
		miopenActivationMode_t	mode
	)

Creates a backward activation operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
activBwdOp	Pointer to an operator type (output)
mode	Activation version (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpActivationForward()

miopenStatus_t miopenCreateOpActivationForward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	activFwdOp,
		miopenActivationMode_t	mode
	)

Creates a forward activation operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
activFwdOp	Pointer to an operator type (output)
mode	Activation version (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpBatchNormBackward()

miopenStatus_t miopenCreateOpBatchNormBackward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	bnBwdOp,
		const miopenBatchNormMode_t	bn_mode
	)

Creates a back propagation batch normalization operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
bnBwdOp	Pointer to an operator type (output)
bn_mode	Batch normalization layer mode (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpBatchNormForward()

miopenStatus_t miopenCreateOpBatchNormForward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	bnFwdOp,
		const miopenBatchNormMode_t	bn_mode,
		bool	runningMeanVariance
	)

Creates a forward training batch normalization operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
bnFwdOp	Pointer to an operator type (output)
bn_mode	Batch normalization layer mode (input)
runningMeanVariance	Toggles whether or not to save population statistics for inference; batch statistic are required (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpBatchNormInference()

miopenStatus_t miopenCreateOpBatchNormInference	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	bnOp,
		const miopenBatchNormMode_t	bn_mode,
		const miopenTensorDescriptor_t	bnScaleBiasMeanVarDesc
	)

Creates a forward inference batch normalization operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
bnOp	Pointer to an operator type (output)
bn_mode	Batch normalization layer mode (input)
bnScaleBiasMeanVarDesc	Gamma, beta, mean, variance tensor descriptor (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpBiasForward()

miopenStatus_t miopenCreateOpBiasForward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	biasOp,
		const miopenTensorDescriptor_t	bDesc
	)

Creates a forward bias operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
biasOp	Pointer to an operator type (output)
bDesc	bias tensor descriptor (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOpConvForward()

miopenStatus_t miopenCreateOpConvForward	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenFusionOpDescriptor_t *	convOp,
		miopenConvolutionDescriptor_t	convDesc,
		const miopenTensorDescriptor_t	wDesc
	)

Creates forward convolution operator.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
convOp	Pointer to an operator type (output)
convDesc	Convolution layer descriptor (input)
wDesc	Descriptor for the weights tensor (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenCreateOperatorArgs()

miopenStatus_t miopenCreateOperatorArgs ( miopenOperatorArgs_t * args )

Creates an operator argument object.

Parameters

args	Pointer to an operator argument type (output)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenDestroyFusionPlan()

miopenStatus_t miopenDestroyFusionPlan ( miopenFusionPlanDescriptor_t fusePlanDesc )

Destroy the fusion plan descriptor object.

Parameters

fusePlanDesc A fusion plan descriptor type

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenDestroyOperatorArgs()

miopenStatus_t miopenDestroyOperatorArgs ( miopenOperatorArgs_t args )

Destroys an operator argument object.

Parameters

args	An operator argument type (output)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenExecuteFusionPlan()

miopenStatus_t miopenExecuteFusionPlan	(	const miopenHandle_t	handle,
		const miopenFusionPlanDescriptor_t	fusePlanDesc,
		const miopenTensorDescriptor_t	inputDesc,
		const void *	input,
		const miopenTensorDescriptor_t	outputDesc,
		void *	output,
		miopenOperatorArgs_t	args
	)

Executes the fusion plan.

Parameters

handle	MIOpen handle (input)
fusePlanDesc	fused plan descriptor (input)
inputDesc	Descriptor of the input tensor (input)
input	Source data tensor (input)
outputDesc	Decriptor of the output tensor (input)
output	Destination data tensor (output)
args	An argument object of the fused kernel (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenFusionPlanConvolutionGetAlgo()

miopenStatus_t miopenFusionPlanConvolutionGetAlgo	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		const int	requestAlgoCount,
		int *	returnedAlgoCount,
		miopenConvFwdAlgorithm_t *	returnedAlgos
	)

Returns the supported algorithms for the convolution operator in the Fusion Plan.

A Convolution operator in a fusion plan may be implemented by different algorithms representing different tradeoffs of memory and performance. The returned list of algorithms is sorted in decreasing order of priority. Therefore, if the user does not request an algorithm to be set using the miopenFusionPlanConvolutionSetAlgo call, the first algorithm in the list would be used to execute the convolution in the fusion plan. Moreover this call must be immediately preceded by the miopenCreateOpConvForward call for the op in question.

Parameters

fusePlanDesc	A fusion plan descriptor (input)
requestAlgoCount	Number of algorithms to return (input)
returnedAlgoCount	The actual number of returned algorithms; always be less than equal to requestAlgoCount (output)
returnedAlgos	Pointer to the list of supported algorithms

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenFusionPlanConvolutionSetAlgo()

miopenStatus_t miopenFusionPlanConvolutionSetAlgo	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		miopenConvFwdAlgorithm_t	algo
	)

Requests the fusion runtime to choose a particular algorithm for the added convolution operation.

Please see the description for miopenFusionPlanConvolutionGetAlgo

Parameters

fusePlanDesc	A fusion plan descriptor (input)
algo	Requested algorithm for the convolution operator (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenFusionPlanGetOp()

miopenStatus_t miopenFusionPlanGetOp	(	miopenFusionPlanDescriptor_t	fusePlanDesc,
		const int	op_idx,
		miopenFusionOpDescriptor_t *	op
	)

Allows access to the operators in a fusion plan.

This api call does bounds checking on the supplied op_idx and would return miopenStatusError if the index is out of bounds

Parameters

fusePlanDesc	A fusion plan descriptor (input)
op_idx	Index of the required operator in the fusion plan, in the order of insertion
op	returned pointer to the operator

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenFusionPlanGetWorkSpaceSize()

miopenStatus_t miopenFusionPlanGetWorkSpaceSize	(	miopenHandle_t	handle,
		miopenFusionPlanDescriptor_t	fusePlanDesc,
		size_t *	workSpaceSize,
		miopenConvFwdAlgorithm_t	algo
	)

Query the workspace size required for the fusion plan.

Parameters

handle	MIOpen handle (input)
fusePlanDesc	A fusion plan descriptor (input)
workSpaceSize	Pointer to memory to return size in bytes (output)
algo	Algorithm selected (inputs)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsActivBackward()

miopenStatus_t miopenSetOpArgsActivBackward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	activBwdOp,
		const void *	alpha,
		const void *	beta,
		const void *	y,
		const void *	reserved,
		double	activAlpha,
		double	activBeta,
		double	activGamma
	)

Sets the arguments for backward activation op.

Parameters

args	An arguments object type (output)
activBwdOp	Activation backwards operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
y	Data tensor y, output of activations in the forward direction (input)
reserved	Data tensor reserved memory space; currently should be nullptr (input)
activAlpha	Double precision activation parameter which depends on activation mode (input)
activBeta	Double precision activation parameter which depends on activation mode (input)
activGamma	Double precision activation parameter which depends on activation mode (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsActivForward()

miopenStatus_t miopenSetOpArgsActivForward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	activFwdOp,
		const void *	alpha,
		const void *	beta,
		double	activAlpha,
		double	activBeta,
		double	activGamma
	)

Sets the arguments for forward activation op.

Parameters

args	An arguments object type (output)
activFwdOp	Activation backwards operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
activAlpha	Double precision activation parameter which depends on activation mode (input)
activBeta	Double precision activation parameter which depends on activation mode (input)
activGamma	Double precision activation parameter which depends on activation mode (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsBatchNormBackward()

miopenStatus_t miopenSetOpArgsBatchNormBackward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	bnOp,
		const void *	alpha,
		const void *	beta,
		const void *	x,
		const void *	bnScale,
		const void *	bnBias,
		void *	resultBnScaleDiff,
		void *	resultBnBiasDiff,
		const void *	savedMean,
		const void *	savedInvVariance
	)

Sets the arguments for backward batch normalization op.

Parameters

args	An arguments object type (output)
bnOp	Batch normalization forward operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
x	Pointer to the forward input tensor memory (input)
bnScale	Pointer to the gamma tensor memory (input)
bnBias	Pointer to the beta tensor memory (input)
resultBnScaleDiff	Pointer to the gamma gradient tensor memory (output)
resultBnBiasDiff	Pointer to the beta gradient tensor memory (output)
savedMean	Pointer to batch mean memory (input)
savedInvVariance	Pointer to batch inverse variance memory (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsBatchNormForward()

miopenStatus_t miopenSetOpArgsBatchNormForward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	bnOp,
		const void *	alpha,
		const void *	beta,
		const void *	bnScale,
		const void *	bnBias,
		void *	savedMean,
		void *	savedInvVariance,
		void *	runningMean,
		void *	runningVariance,
		double	expAvgFactor,
		double	epsilon
	)

Sets the arguments for forward batch normalization op.

Parameters

args	An arguments object type (output)
bnOp	Batch normalization forward operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
bnScale	Pointer to the gamma tensor memory (input)
bnBias	Pointer to the beta tensor memory (input)
savedMean	Pointer to batch mean memory (input)
savedInvVariance	Pointer to batch inverse variance memory (input)
runningMean	Pointer to population mean memory (input)
runningVariance	Pointer to population variance memory (input)
expAvgFactor	Scalar value for control of population statistics (input)
epsilon	Scalar value for numerical stability (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsBatchNormInference()

miopenStatus_t miopenSetOpArgsBatchNormInference	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	bnOp,
		const void *	alpha,
		const void *	beta,
		const void *	bnScale,
		const void *	bnBias,
		const void *	estimatedMean,
		const void *	estimatedVariance,
		double	epsilon
	)

Sets the arguments for inference batch normalization op.

Parameters

args	An arguments object type (output)
bnOp	Batch normalization inference operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
bnScale	Pointer to the gamma tensor memory (input)
bnBias	Pointer to the beta tensor memory (input)
estimatedMean	Pointer to population mean memory (input)
estimatedVariance	Pointer to population variance memory (input)
epsilon	Scalar value for numerical stability (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsBiasForward()

miopenStatus_t miopenSetOpArgsBiasForward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	biasOp,
		const void *	alpha,
		const void *	beta,
		const void *	bias
	)

Sets the arguments for forward bias op.

Parameters

args	An arguments object type (output)
biasOp	Forward bias operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
bias	Pointer to the forward bias input tensor memory (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

◆ miopenSetOpArgsConvForward()

miopenStatus_t miopenSetOpArgsConvForward	(	miopenOperatorArgs_t	args,
		const miopenFusionOpDescriptor_t	convOp,
		const void *	alpha,
		const void *	beta,
		const void *	w
	)

Sets the arguments for forward convolution op.

Parameters

args	An arguments object type (output)
convOp	Forward convolution operator (input)
alpha	Floating point scaling factor, allocated on the host (input)
beta	Floating point shift factor, allocated on the host (input)
w	Pointer to tensor memory (input)

Returns: miopenStatus_t

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/develop/include/miopen/miopen.h.

FUSION

FUSION#

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

◆ miopenFusionDirection_t

Function Documentation

◆ MIOPEN_DECLARE_OBJECT()

◆ miopenCompileFusionPlan()

◆ miopenConvolutionBiasActivationForward()

◆ miopenCreateFusionPlan()

◆ miopenCreateOpActivationBackward()

◆ miopenCreateOpActivationForward()

◆ miopenCreateOpBatchNormBackward()

◆ miopenCreateOpBatchNormForward()

◆ miopenCreateOpBatchNormInference()

◆ miopenCreateOpBiasForward()

◆ miopenCreateOpConvForward()

◆ miopenCreateOperatorArgs()

◆ miopenDestroyFusionPlan()

◆ miopenDestroyOperatorArgs()

◆ miopenExecuteFusionPlan()

◆ miopenFusionPlanConvolutionGetAlgo()

◆ miopenFusionPlanConvolutionSetAlgo()

◆ miopenFusionPlanGetOp()

◆ miopenFusionPlanGetWorkSpaceSize()

◆ miopenSetOpArgsActivBackward()

◆ miopenSetOpArgsActivForward()

◆ miopenSetOpArgsBatchNormBackward()

◆ miopenSetOpArgsBatchNormForward()

◆ miopenSetOpArgsBatchNormInference()

◆ miopenSetOpArgsBiasForward()

◆ miopenSetOpArgsConvForward()