[object Object]

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

• Description: Calculates the decimal part of each element in the input tensor and then outputs the result.

• Formula:

  $$out_{i}=input_{i} - \lfloor \vert input_{i} \vert \rfloor * sgn(input_{i})$$

  $sgn(\cdot)$ is a sign function, which extracts the sign of $input_{i}$.

[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 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*, compute input): [object Object] in the formula, aclTensor on the device. The shape can have 0 to 8 dimensions, and the shapes of [object Object] and [object Object] must be the same. are supported. The can be ND. The data type must be the same as that of [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, or INT64.
    • [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 FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, INT64, or BFLOAT16.
  • [object Object] (aclTensor*, compute output): [object Object] in the formula, aclTensor on the device. The shape can have 0 to 8D, and the shapes of [object Object] and [object Object] must be the same. are supported. The can be ND. The data type must be the same as that of [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, or INT64.
    • [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 FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, INT64, 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): 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*, compute input): [object Object] on the device. The shape can be 0 to 8D. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, or INT64.
    • [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 FLOAT16, FLOAT, UINT8, INT8, INT16, INT32, INT64, 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): 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 .