Kernel: Tensor Multiply

Functions
VX_API_ENTRY vx_node VX_API_CALL	vxTensorMultiplyNode (vx_graph graph, vx_tensor input1, vx_tensor input2, vx_scalar scale, vx_enum overflow_policy, vx_enum rounding_policy, vx_tensor output)
	[Graph] Performs element wise multiplications on element values in the input tensor data with a scale.
VX_API_ENTRY vx_status VX_API_CALL	vxuTensorMultiply (vx_context context, vx_tensor input1, vx_tensor input2, vx_scalar scale, vx_enum overflow_policy, vx_enum rounding_policy, vx_tensor output)
	[Immediate] Performs element wise multiplications on element values in the input tensor data with a scale.

Detailed Description

Function Documentation

vxTensorMultiplyNode()

VX_API_ENTRY vx_node VX_API_CALL vxTensorMultiplyNode	(	vx_graph	graph,
		vx_tensor	input1,
		vx_tensor	input2,
		vx_scalar	scale,
		vx_enum	overflow_policy,
		vx_enum	rounding_policy,
		vx_tensor	output )

#include <vx_nodes.h>

[Graph] Performs element wise multiplications on element values in the input tensor data with a scale.

Parameters

[in]	graph	The handle to the graph.
[in]	input1	Input tensor data. Implementations must support input tensor data type VX_TYPE_INT16 with fixed_point_position 8, and tensor data types VX_TYPE_UINT8 and VX_TYPE_INT8, with fixed_point_position 0.
[in]	input2	Input tensor data. The dimensions and sizes of input2 match those of input1, unless the vx_tensor of one or more dimensions in input2 is 1. In this case, those dimensions are treated as if this tensor was expanded to match the size of the corresponding dimension of input1, and data was duplicated on all terms in that dimension. After this expansion, the dimensions will be equal. The data type must match the data type of Input1.
[in]	scale	A non-negative VX_TYPE_FLOAT32 multiplied to each product before overflow handling.
[in]	overflow_policy	A vx_convert_policy_e enumeration.
[in]	rounding_policy	A vx_round_policy_e enumeration.
[out]	output	The output tensor data with the same dimensions as the input tensor data.

Returns

vx_node.

A node reference vx_node. Any possible errors preventing a successful creation should be checked using vxGetStatus.

vxuTensorMultiply()

VX_API_ENTRY vx_status VX_API_CALL vxuTensorMultiply	(	vx_context	context,
		vx_tensor	input1,
		vx_tensor	input2,
		vx_scalar	scale,
		vx_enum	overflow_policy,
		vx_enum	rounding_policy,
		vx_tensor	output )

#include <vxu.h>

[Immediate] Performs element wise multiplications on element values in the input tensor data with a scale.

Parameters

[in]	context	The reference to the overall context.
[in]	input1	Input tensor data. Implementations must support input tensor data type VX_TYPE_INT16 with fixed_point_position 8, and tensor data types VX_TYPE_UINT8 and VX_TYPE_INT8, with fixed_point_position 0.
[in]	input2	Input tensor data. The dimensions and sizes of input2 match those of input1, unless the vx_tensor of one or more dimensions in input2 is 1. In this case, those dimensions are treated as if this tensor was expanded to match the size of the corresponding dimension of input1, and data was duplicated on all terms in that dimension. After this expansion, the dimensions will be equal. The data type must match the data type of Input1.
[in]	scale	A non-negative VX_TYPE_FLOAT32 multiplied to each product before overflow handling.
[in]	overflow_policy	A vx_convert_policy_e enumeration.
[in]	rounding_policy	A vx_round_policy_e enumeration.
[out]	output	The output tensor data with the same dimensions as the input tensor data.

Returns

A vx_status_e enumeration.

Return values

VX_SUCCESS	Success
*	An error occurred. See vx_status_e.