The OpenVX Specification  dba1aa3
Tensor Subtract

## Detailed Description

Performs arithmetic subtraction on element values in the input tensor data.

## Functions

vx_node VX_API_CALL vxTensorSubtractNode (vx_graph graph, vx_tensor input1, vx_tensor input2, vx_enum policy, vx_tensor output)
[Graph] Performs arithmetic subtraction on element values in the input tensor data. More...

vx_status VX_API_CALL vxuTensorSubtract (vx_context context, vx_tensor input1, vx_tensor input2, vx_enum policy, vx_tensor output)
[Immediate] Performs arithmetic subtraction on element values in the input tensor data. More...

## Function Documentation

 vx_node VX_API_CALL vxTensorSubtractNode ( vx_graph graph, vx_tensor input1, vx_tensor input2, vx_enum policy, vx_tensor output )

[Graph] Performs arithmetic subtraction on element values in the input tensor data.

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] policy A vx_convert_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.
 vx_status VX_API_CALL vxuTensorSubtract ( vx_context context, vx_tensor input1, vx_tensor input2, vx_enum policy, vx_tensor output )

[Immediate] Performs arithmetic subtraction on element values in the input tensor data.

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] policy A vx_convert_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.