Function: set_tensor_const

Applicable Products

Product	Supported (√/x)
Ascend 950PR / Ascend 950DT	√
Atlas A3 training products / Atlas A3 inference products	√
Atlas A2 training products / Atlas A2 inference products	√
Atlas training products	√
Atlas inference products	√
Atlas 200I/500 A2 inference products	√

Function Usage

Sets a constant input for an operator and specifies the buffer address for storing the input tensor data and address length.

Prototype

C Prototype

        
             aclError aclSetTensorConst(aclTensorDesc *desc, void *dataBuffer, size_t length)

Python Function

        
             ret = acl.set_tensor_const(desc, dataBuffer, length)

Parameter Description

Parameter	Description
desc	Int, pointer address of the aclTensorDesc type. Call acl.create_tensor_desc to create data of the aclTensorDesc type in advance.
dataBuffer	Int, address of the memory for storing the input tensor of the constant. The memory for storing the input tensor data of the operator must be determined based on the application running mode. For details about the buffer allocation API, see Memory Management. If the app runs on the host, allocate host buffer. If the app runs on the device, allocate device memory.
length	Int, length of the memory address, in bytes.

Parameter

Description

desc

Int, pointer address of the aclTensorDesc type.

Call acl.create_tensor_desc to create data of the aclTensorDesc type in advance.

dataBuffer

Int, address of the memory for storing the input tensor of the constant.

The memory for storing the input tensor data of the operator must be determined based on the application running mode. For details about the buffer allocation API, see Memory Management.

If the app runs on the host, allocate host buffer.
If the app runs on the device, allocate device memory.

length

Int, length of the memory address, in bytes.

Return Value Description

Return Value	Description
ret	Int, error code. 0: success. Other values: failure.

Parent topic: aclmdlTensorDesc