[object Object]

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

• Function: Checks whether each element in the input self is less than the value of the input other, and returns a tensor of the Bool type.

• Formula:

  $$out_i = (self_i < other_i) ? [True] : [False]$$

[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]

• Parameters:

  [object Object]
  • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.
  • Ascend 950PR/Ascend 950DT: The data types of self and other must meet the data type derivation rules. For details, see [object Object]TensorScalar Relationship Between Tensor and Scalar Data Types[object Object].

• 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]
  • [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.
  • Ascend 950PR/Ascend 950DT: The data types of self and other must meet the data type derivation rules. For details, see [object Object]TensorScalar Relationship Between Tensor and Scalar Data Types[object Object].

• 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 .

aclnnLtScalar sample code:

aclnnInplaceLtScalar sample code: