[object Object]

[object Object][object Object]undefined
[object Object]
  • Description: Performs subtraction.
  • Formula:outi=otherselfialphaout_i = other - self_i * alpha
[object Object]

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

  • [object Object]
  • [object Object]
[object Object]
  • Parameters:

    • [object Object] (aclTensor*, compute input): input [object Object] in the formula. The shape dimension cannot exceed 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 INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, COMPLEX128, or BFLOAT16. The data types of [object Object] and [object Object] must meet the deduction relationship (see ). If [object Object] is FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data type after deduction of [object Object] and [object Object] is the data type of [object Object].
      • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, or COMPLEX128, and must meet the deduction relationship (see ) with [object Object]. If [object Object] is FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data type after deduction of [object Object] and [object Object] is the data type of [object Object].
    • [object Object] (aclScalar*, compute input): input [object Object] in the formula.

      • [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 INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, COMPLEX128, or BFLOAT16, and must meet the deduction relationship (see ) with [object Object]. If the data type of [object Object] is not FLOAT16, FLOAT32, BFLOAT16, or DOUBLE and the data type of [object Object] is FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data types of [object Object] and [object Object] must meet the deduction relationship (see ). If the data types of [object Object] and [object Object] are not in FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data type after derivation is that of [object Object].
      • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, or COMPLEX128. The data types of [object Object] and [object Object] must meet the deduction relationship (see ). If the data type of [object Object] is not FLOAT16, FLOAT32, BFLOAT16, or DOUBLE and the data type of [object Object] is FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data types of [object Object] and [object Object] must meet the deduction relationship (see ). If the data types of [object Object] and [object Object] are not in FLOAT16, FLOAT32, BFLOAT16, or DOUBLE, the data type after derivation is that of [object Object].
    • [object Object] (aclScalar*, input): [object Object] in the formula. The data type can be converted to the data type derived from [object Object] and [object Object].

      • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, COMPLEX128, or BFLOAT16.
      • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, or COMPLEX128.
    • [object Object] (aclTensor*, compute output): [object Object] in the formula. The data type must be convertible from that after deduction of [object Object] and [object Object] (see ). The shape must be 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], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, COMPLEX128, or BFLOAT16.
      • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, 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]
[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 [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]
  • Deterministic compute:
    • [object Object] defaults to a deterministic implementation.
[object Object]

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

[object Object]