[object Object]

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

• Description: Uses [object Object] to fill in the element corresponding to the position whose value is [object Object] in the [object Object] matrix in [object Object].
• Formula:$$selfRef_i= \begin{cases}selfRef_i,\quad mask_i==False \\value, \quad mask_i==True \end{cases}$$

[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 *, computation input | computation output): input and output tensor, aclTensor on the device. are supported. The can be ND.
    • For the [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be BOOL, INT8, INT32, INT64, FLOAT, or FLOAT16.
    • [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 BOOL, INT8, INT32, INT64, FLOAT, FLOAT16, or BFLOAT16.
  • [object Object] (aclTensor*, input): aclTensor on the device. The data type can be BOOL. The shape must meet the with [object Object]. The can be ND.
  • [object Object] (aclScalar*, input): aclScalar on the host. The data type must meet the type deduction rules (for details, see ) with [object Object].
    • For the [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be BOOL, INT8, INT32, INT64, FLOAT, or FLOAT16.
    • [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 BOOL, INT8, INT32, INT64, FLOAT, FLOAT16, 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]

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

[object Object]

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