[object Object]

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

• Operator function: Computes whether the element value in [object Object] is not equal to the value of [object Object].
• Formula:

$$out_i​=(self_i \ne other)?[1]:[0]$$ $$selfRef_i​=(selfRef_i \ne other)?[1]:[0]$$ [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 input parameters and compute the required workspace size based on the computation process. Then, [object Object] or [object Object] is called to perform computation.
  • [object Object]
  • [object Object]
  • [object Object]
  • [object Object]

[object Object]

• Parameters:
  • [object Object] (aclTensor*, computation input): [object Object] in the formula, which is an aclTensor on the device. The shape dimensions cannot be greater than 8. are supported. The can be ND.
    • [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 type can be DOUBLE, FLOAT16, FLOAT, BFLOAT16, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
  • [object Object] (aclScalar*, computation input): [object Object] in the formula, which is an aclScalar on the host.
    • [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 type can be DOUBLE, FLOAT16, FLOAT, BFLOAT16, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
  • [object Object] (aclTensor*, computation output): [object Object] in the formula, which is an aclTensor on the device. Data types that can be converted from BOOL. For details, see . The shape is the same as that of [object Object]. are supported. The can be ND.
    • [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 type can be DOUBLE, FLOAT16, FLOAT, BFLOAT16, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128.
  • [object Object] (uint64_t*, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor**, output): operator executor, containing the operator computation process.
• Returns: [object Object]: status code. For details, see .

[object Object]

• Parameters:
  • [object Object] (void*, input): address of the workspace to be allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by calling the first-phase API [object Object].
  • [object Object] (aclOpExecutor*, input): operator executor, containing the operator computation process.
  • [object Object] (aclrtStream, input): stream for executing the task.
• Returns: [object Object]: status code. For details, see .

[object Object]

• Parameters:
  • [object Object] (aclTensor*, computation input/output): [object Object] in the formula, which is an aclTensor on the device. The shape dimensions cannot be greater than 8. are supported. The can be ND.
    • [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 type can be DOUBLE, FLOAT16, FLOAT, BFLOAT16, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
  • other (aclScalar*, computation input): input [object Object] in the formula, which is an aclScalar on the host.
    • [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 type can be DOUBLE, FLOAT16, FLOAT, BFLOAT16, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT, INT64, INT32, INT8, UINT8, BOOL, INT16, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object].
  • [object Object] (uint64_t*, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor**, output): operator executor, containing the operator computation process.
• Returns: [object Object]: status code. For details, see .

[object Object]

• Parameters
  • [object Object]: address of the workspace to be allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by the first-phase API aclnnInplaceNeScalarGetWorkspaceSize.
  • [object Object] (aclOpExecutor*, input): operator executor, containing the operator computation process.
  • [object Object] (aclrtStream, input): stream for executing the task.
• Returns: [object Object]: status code. For details, see .

[object Object]

• Deterministic computing:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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