[object Object]

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

• Description: Computes the reciprocal of the square root of each element in the input tensor.

• Formula:

$$out = \frac{1}{\sqrt{input}}$$ [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 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*, compute input): $input$ in the formula, aclTensor on the device. are supported. The can be ND, and the shape must be the same as that of [object Object].
    • [object Object]Atlas 200I/500 A2 inference products[object Object], [object Object]Atlas inference products[object Object], [object Object]Atlas training products[object Object];: The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, COMPLEX128, UINT8, INT8, INT16, INT32, INT64, 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 FLOAT, FLOAT16, DOUBLE, COMPLEX64, COMPLEX128, UINT8, INT8, INT16, INT32, INT64, BOOL, or BFLOAT16.
  • [object Object] (aclTensor *, compute output) : $out$ in the formula, aclTensor on the device. are supported. The can be ND, and the shape must be the same as that of [object Object].
    • [object Object]Atlas 200I/500 A2 inference products[object Object], [object Object]Atlas inference products[object Object], [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, or COMPLEX128.
    • [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, COMPLEX64, COMPLEX128, or 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): address of the workspace memory allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by calling [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 *, compute input): $input$ in the formula, aclTensor on the device. are supported. The can be ND. The number of shape dimensions cannot exceed 8.
    • [object Object]Atlas 200I/500 A2 inference products[object Object], [object Object]Atlas inference products[object Object], [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, or COMPLEX128.
    • [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, COMPLEX64, COMPLEX128, or 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): address of the workspace memory allocated on the device.
  • [object Object] (uint64_t, input): size of the workspace to be allocated on the device, which is obtained by calling [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 compute:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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