[object Object]

[object Object][object Object]undefined
[object Object]
  • Function: Checks whether the elements in the self tensor are greater than those in the other tensor. Returns a tensor. If [object Object] > [object Object], the value is [object Object] ([object Object]); otherwise, the value is [object Object] ([object Object]).
  • Formulas:out=(selfi>otheri)?[True]:[False]out = (self_i > other_i) ? [True] : [False]
[object Object]

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 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 validation. The following error codes may be returned:

    [object Object]
[object Object]
  • Parameters:

    [object Object]
  • Returns:

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

[object Object]
  • Parameters:

    [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 validation. The following error codes may be returned:

    [object Object]
[object Object]
  • Parameters:

    [object Object]
  • Returns:

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

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

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

  • The following is the sample code of aclnnGtTensor for the Ascend 950PR/Ascend 950DT, [object Object]Atlas A3 training products/Atlas A3 inference products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas inference products[object Object], and [object Object]Atlas training products[object Object]:
[object Object]
  • The following is the sample code of aclnnInplaceGtTensor for Ascend 950PR/Ascend 950DT, [object Object]Atlas A3 training products/Atlas A3 inference products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas inference products[object Object], and [object Object]Atlas training products[object Object]:
[object Object]