[object Object]

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

• Description: Returns a new tensor with the reciprocal of each input element.

• Formula:

$$out = {\frac{1} {input}}$$

• Example:

  input = tensor([1,2,3,4]). After reciprocal computation, out = tensor([1.00, 0.50, 0.33, 0.25]).

[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 stored in the memory of the input tensor.

• 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] (aclTensor*, computation input): aclTensor on the device. are supported. An empty tensor can be passed in. The can be ND.

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, FLOAT16, INT8, INT16, INT32, INT64, UINT8, or BOOL.
    • [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 DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, FLOAT16, BFLOAT16, INT8, INT16, INT32, INT64, UINT8, or BOOL.

  • [object Object] (aclTensor *, computation output): aclTensor on the device. The shape must be the same as that of [object Object]. and empty input tensors are supported. The can be ND.

    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, or FLOAT16.
    • [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 DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, FLOAT16, and BFLOAT16.

  • [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]

• Parameters:

  • [object Object] (aclTensor*, computation input|computation output): aclTensor on the device. are supported. An empty tensor can be passed in. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, or FLOAT16.
    • [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 DOUBLE, COMPLEX64, COMPLEX128, FLOAT32, FLOAT16, and BFLOAT16.
  • [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] and [object Object] default to a deterministic implementation.

[object Object]

The following example is for reference only. For details, see . Sample code of aclnnReciprocal:

Sample code of aclnnInplaceReciprocal: