[object Object]

[object Object][object Object]undefined[object Object]

• Function: Fills the selfRef tensor with all zeros.

• Formulas:

  $${selfRef}_{i} = 0$$

• Example:

  [object Object]

[object Object]

Each operator has calls. First, aclnnInplaceZeroGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnInplaceZero is called to perform computation.

[object Object]

• Parameters

  [object Object]

• For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], the supported data types are INT8, INT32, INT64, UINT8, FLOAT16, FLOAT32, BOOL, DOUBLE, INT16, UINT16, COMPLEX128, and COMPLEX64.

• For [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object], the supported data types are INT8, INT32, INT64, UINT8, FLOAT16, FLOAT32, BOOL, DOUBLE, INT16, UINT16, COMPLEX128, COMPLEX64 and BFLOAT16.

• Ascend 950PR/Ascend 950DT: The data type can be INT8, INT32, INT64, UINT8, FLOAT16, FLOAT32, BOOL, DOUBLE, INT16, UINT16, COMPLEX128, COMPLEX64, BFLOAT16, FLOAT8_E5M2, FLOAT8_E4M3FN, HIFLOAT8, FLOAT4_E1M2 or FLOAT4_E2M1.

• Return Value

  [object Object]: status code. For details, see .

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Return value

  [object Object]: status code. For details, see .

[object Object]

• Deterministic computation:
  • The default deterministic implementation of aclnnInplaceZero is used.

[object Object]

The following example is for reference only. For details, see .