[object Object]

[object Object][object Object]undefined
[object Object]
  • Function: checks whether each element in the input self is less than the corresponding element in the input other, and returns a tensor of the Bool type.

  • Formula:

    outi=(selfi<otheri)?[True]:[False]out_i = (self_i < other_i) ? [True] : [False]
[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 the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] or [object Object] is called to perform computation.

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

    [object Object]
    • [object Object]Atlas 200I/500 A2 inference product[object Object] and [object Object]Atlas training products[object Object]: The BFLOAT16 data type is not supported.
  • 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]
  • Parameters:

    [object Object]
  • Returns:

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

[object Object]
  • Parameters:

    [object Object]
    • For the [object Object]Atlas 200I/500 A2 inference product[object Object] and [object Object]Atlas training products[object Object], the BFLOAT16 data type is not supported.
  • 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]
  • Parameters:

    [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 .

aclnnLtTensor sample code:

[object Object]

aclnnInplaceLtTensor sample code:

[object Object]