[object Object]

[object Object][object Object]undefined
[object Object]
  • Description: Performs subtraction.
  • Formula:outi=otheriselfialphaout_i = other_i - 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 data type must meet the with other. The shape must meet the with [object Object]. The number of dimensions cannot exceed 8. 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 training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, or COMPLEX128.
    • [object Object] (aclTensor *, compute input): input [object Object] in the formula. The data type must meet the [type deduction rules](see ) with [object Object]. The shape must meet the with [object Object]. The number of dimensions cannot exceed 8. 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 training products[object Object]: The data type can be INT8, UINT8, INT16, INT32, INT64, FLOAT16, FLOAT, DOUBLE, COMPLEX64, or COMPLEX128.
    • [object Object] (aclScalar*, compute input): [object Object] in the formula. The data type must be convertible to that after deduction between [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 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 between [object Object] and [object Object] (see ). The shape must be the shape after [object Object] and [object Object] are broadcast, and the number of dimensions cannot exceed 8. 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 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]