[object Object]

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

• Description: Computes the natural logarithm of the determinant of input [object Object].

• Formula:

  $$out = log(det(self))$$
  • If the result of [object Object] is 0, [object Object] equals [object Object].
  • If the result of [object Object] is negative, [object Object] equals [object Object].

[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*, compute input): self in the formula. The data type can be FLOAT, DOUBLE, COMPLEX64, or COMPLEX128. The shape must be in the (* , n, n) format, where * indicates the batch size with 0 or more dimensions. The shape cannot be greater than 8D. are supported. The supports ND.
  • [object Object] (aclTensor *, compute output): out in the formula. The data type can be FLOAT, DOUBLE, COMPLEX64, or COMPLEX128. The data type must meet the type deduction relationship with self. The shape must be the same as the batch of self. are supported. The supports 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]

• 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 first-phase API aclnnLogdetGetWorkspaceSize.

  • [object Object] (aclOpExecutor*, input): operator executor, containing the operator computation process.

  • [object Object] (aclrtStream, input parameter): stream for executing the task.

• Returns:

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

[object Object]

• Deterministic computation:
  • [object Object] defaults to deterministic implementation.

The input data does not support the overflow value (Inf or NaN).

[object Object]

The following examples are for reference only. For details, see .