[object Object]

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

• Description: Compares the values of elements in [object Object] with those in [object Object], and writes the comparison result to [object Object].
• Formula:$$out_i = (self_i == \mathit{other} ) ? [True] : [False]$$

[object Object]

• [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.

  • [object Object]: An output tensor object needs to be created to store the computation result.
  • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.

• Each operator has calls. First, [object Object] or [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] or [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]
  • Ascend 950PR/Ascend 950DT:
    • The data types of [object Object] and [object Object] must meet the tensor-scalar deduction rules (see ).
    • The self and other do not support the UINT32 data type.
  • [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 data types of [object Object] and [object Object] must meet the data type deduction rules (see ).
    • The data types of [object Object] and [object Object] cannot be UINT32 or UINT64.
    • The data type of [object Object] cannot be UINT64, UINT32, or UINT16.
  • [object Object]Atlas training products[object Object]:
    • The data types of [object Object] and [object Object] must meet the data type deduction rules (see ).
    • The data type cannot be BFLOAT16.
    • The data type of [object Object] cannot be UINT64, UINT32, UINT16, or BFLOAT16.

• Returns

  [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]

• Returns

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

[object Object]

• Parameters

  [object Object]
  • Ascend 950PR/Ascend 950DT:
    • selfRef and other must meet the .
    • selfRef and other do not support the UINT32 data type.
  • [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 data types of [object Object] and [object Object] must meet the data type deduction rules (see ).
    • The data types of [object Object] and [object Object] cannot be UINT32 or UINT64.
  • [object Object]Atlas training products[object Object]:
    • The data types of [object Object] and [object Object] must meet the data type deduction rules (see ).
    • The data type cannot be BFLOAT16.

• Returns

  [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]

• Returns

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

[object Object]

• Deterministic computation:
  • [object Object] and [object Object] default to a deterministic implementation.

[object Object]

The following examples are for reference only. For details, see .

aclnnEqScalar Sample Code

aclnnInplaceEqScalar Sample Code