[object Object]

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

Description: Rounds the elements of the input tensor to the specified number of decimal places.

[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): input tensor, aclTensor on the device. are supported. The supports ND. The number of dimensions cannot exceed 8, and the shape must be the same as that of [object Object].

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, 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 FLOAT, BFLOAT16, FLOAT16, DOUBLE, INT32, or INT64.

  • [object Object] (int64_t, compute input): number of decimal places to round.

  • [object Object] (aclTensor *, compute output): output tensor, aclTensor on the device. are supported. The supports ND. The number of dimensions cannot exceed 8, and the shape must be the same as that of [object Object].

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, 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 FLOAT, BFLOAT16, FLOAT16, DOUBLE, INT32, or INT64.

  • [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.

• When decimals is not 0: If the input data exceeds the range of (–347000, 347000), the precision may be affected.

[object Object]

• Parameters:

  • [object Object] (aclTensor*, compute input): input tensor, aclTensor on the device. are supported. The supports ND. The number of dimensions cannot exceed 8.

    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, 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 FLOAT, BFLOAT16, FLOAT16, DOUBLE, INT32, or INT64.

  • [object Object] (int64_t, compute input): number of decimal places to round.

  • [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]

• When decimals is not 0: If the input data exceeds the range of (–347000, 347000), the precision may be affected.

[object Object]

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