[object Object]

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

Description: Computes the element-wise greatest common divisor (GCD) of specified [object Object] and [object Object]. Both [object Object] and [object Object] must be integers.

[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): target tensor to be converted, which is an aclTensor on the device. The data types of [object Object] and [object Object] must meet the data type deduction rules (see ). The shape can be 1D to 8D, and must meet the with [object Object]. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type after deduction with [object Object] can be INT32.
    • [object Object]Atlas inference products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type after deduction with [object Object] can be INT16, INT32, or INT64.
  • [object Object] (aclTensor*, compute input): target tensor to be converted, which is an aclTensor on the device. The data types of [object Object] and [object Object] must meet the data type deduction rules (see ). The shape can be 1D to 8D, and must meet the with [object Object]. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type after deduction with [object Object] can be INT32.
    • [object Object]Atlas inference products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type after deduction with [object Object] can be INT16, INT32, or INT64.
  • [object Object] (aclTensor*, compute output): [object Object] in the formula, which is an aclTensor on the device. The data type is the data type that can be converted after [object Object] and [object Object] are deduced (see ). The shape can be 1D to 8D, and must be the same as the shape after [object Object] and [object Object] are broadcast. are supported. The can be ND. The data type can be UINT8, INT8, UINT16, INT16, INT32, UINT32, INT64, or UINT64.
  • [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): memory 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 .