[object Object][object Object][object Object]undefined
[object Object]
  • Description: Performs the digamma operation on each element of the input tensor.

  • Formula:

outi=ddselfiloge(Γ(selfi))out_i= \frac{{\rm d}} {{\rm d}self_i}log_e(\Gamma(|self_i|)) [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): input tensor, [object Object] on the device. The data type can be FLOAT, FLOAT16, or DOUBLE. are supported. The can be ND.
    • [object Object] (aclTensor*, computation output): output tensor, [object Object] on the device. The data type can be FLOAT, FLOAT16, or DOUBLE. are supported. The can be ND.
    • [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]
[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 calling 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 computation:
    • [object Object] defaults to a deterministic implementation.
[object Object]

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

[object Object]