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aclnnSub&aclnnInplaceSub
[object Object]

[object Object][object Object]undefined
[object Object]
  • Operator function: Performs subtraction and scales the subtrahend by alpha.
  • Formula:outi=selfi−alpha×otheriout_{i} = self_{i} - alpha \times other_{i} selfRefi=selfRefi−alpha×otheriselfRef_{i}=selfRef_{i}-alpha \times other_{i}
[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]

  • Parameter Description:

    • [object Object] (aclTensor*, computation 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] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
    • [object Object] (aclTensor*, computation 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] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
    • [object Object] (aclScalar*, computation input): [object Object] in the formula. The data type must be convertible to that after deduction between [object Object] and [object Object] (see ).
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
      • [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 FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
    • [object Object] (aclTensor*, computation output): [object Object] in the formula. The data type must be convertible to that after deduction between [object Object] and [object Object] (see ). The shape must be that after [object Object] and [object Object] are , and the dimension must not exceed 8. are supported. The can be ND.
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
      • [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 FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
    • [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]

  • Parameter Description:

    • [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]

  • Parameter Description:

    • [object Object] (aclTensor*, computation input/output): input [object Object] in the formula. The data type must meet the type deduction rules (see ) with [object Object]. In addition, the data type must be convertible to that after deduction (see ). The shape of [object Object] must be the same as that of [object Object] after , 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] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
    • [object Object] (aclTensor*, computation 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] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
    • [object Object] (aclScalar*, computation input): [object Object] in the formula. The data type must be convertible to that after deduction between [object Object] and [object Object] (see ).
      • [object Object]Atlas training products[object Object] and [object Object]Atlas 200I/500 A2 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
      • [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 FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
    • [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]

  • Parameter Description:

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

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

[object Object]
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