[object Object]

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

• Description: Computes the element-wise inverse tangent (arctan) of the input tensors [object Object] and [object Object]. ([object Object] indicates the y coordinate, and other indicates the x coordinate.)

• Formula:

$$out_{i}=tan^{-1}(self_{i}/other_{i})$$ [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 written in place to the input tensor's memory.

• Each operator has calls. First, [object Object] or [object Object] is called to obtain input parameters and compute the required workspace size based on the 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] (aclTensor*, computation input): aclTensor on the device. It supports . Its can be ND. Its dimensions cannot exceed 8. The shapes of [object Object] and [object Object] must meet the .

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, or DOUBLE.
    • [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 can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.

  • [object Object] (aclTensor*, computation input): aclTensor on the device. It supports . Its can be ND. Its dimensions cannot exceed 8. The shapes of [object Object] and [object Object] must meet the .

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, or DOUBLE.
    • [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 can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.

  • [object Object] (aclTensor*, computation output): output tensor, aclTensor on the device. It supports . Its can be ND. Its dimensions cannot exceed 8. The shape of [object Object] must be the shape obtained by broadcasting [object Object] and [object Object].

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE.
    • [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 can be FLOAT, FLOAT16, DOUBLE, or BFLOAT16.

  • [object Object] (uint64_t*, output): size of the workspace to be allocated on the device.

  • [object Object] (aclOpExecutor **, output): operator executor, covering 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 the first-phase API [object Object].
  • [object Object] (aclOpExecutor*, input): operator executor, covering the operator computation process.
  • [object Object] (aclrtStream, input parameter): stream for executing the task.

• Returns:

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

[object Object]

• Parameters:

  • [object Object] (aclTensor * , computation input/output): aclTensor on the device. It supports . Its can be ND. Its dimensions cannot exceed 8. The shapes of [object Object] and [object Object] must meet the .

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, or DOUBLE.
    • [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 can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.

  • [object Object] (aclTensor*, computation input): aclTensor on the device. It supports . Its can be ND. Its dimensions cannot exceed 8. The shapes of [object Object] and [object Object] must meet the .

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, or DOUBLE.
    • [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 can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.

  • [object Object] (uint64_t *, output): size of the workspace to be allocated on the device.

  • [object Object] (aclOpExecutor **, output): operator executor, covering 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 the first-phase API [object Object].
  • [object Object] (aclOpExecutor*, input): operator executor, covering 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] and [object Object] each default to a deterministic implementation.

[object Object]

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