[object Object]

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

• This API performs subtraction computation, with the minuend scaled by alpha.
• Formula:$$out_{i} = self_{i} - alpha \times other$$ $$selfRef_{i} = selfRef_{i} - alpha \times other$$

[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]

• Parameter Description:

  [object Object]
  • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns:

  [object Object]: status code. For details, see .

  The first-phase API implements input parameter verification. The following errors may be thrown:

  [object Object]

[object Object]

• Parameter Description:

  [object Object]

• Returns:

  [object Object]: status code. For details, see .

[object Object]

• Parameter Description:

  [object Object]
  • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns:

  [object Object]: status code. For details, see .

  The first-phase API implements input parameter verification. The following errors may be thrown:

  [object Object]

[object Object]

• Parameter Description:

  [object Object]

• 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 .