[object Object]

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

• Description: Performs division and rounds the result based on the [object Object] parameter.
• Formula:

$$out_i = \frac{input_i}{other}$$ [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): dividend, [object Object] in the formula, [object Object] on the device. are supported. The can be ND.
    • [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, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16, and must meet the data type deduction rules (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64, and must meet the data type deduction rules (see ) with [object Object].
  • [object Object] (aclScalar*, computation input): divisor, [object Object] in the formula, [object Object] on the device.
    • [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, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16, and must meet the data type deduction rules (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64, and must meet the data type deduction rules (see ) with [object Object].
  • [object Object] (int, computation input): rounding mode of the quotient, input [object Object] in the formula. It is an integer on the host. The valid values are:[object Object][object Object] (corresponding to None): Rounding is not performed by default.[object Object][object Object] (corresponding to [object Object]): The fractional part of the quotient is rounded to zero.[object Object][object Object] (corresponding to [object Object]): The quotient is rounded down.
  • [object Object] (aclTensor*, computation output): quotient, [object Object] in the formula, [object Object] on the device. The data type must be convertible from the deduced data type of [object Object] and [object Object]. The shape must be identical to that of [object Object]. are supported. The can be ND.
    • [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, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16.
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64.
  • [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 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): dividend and quotient, [object Object] and [object Object] in the formula, [object Object] on the device. The data type must be convertible from the deduced data type of [object Object] and [object Object] (see ). are supported. The can be ND.
    • [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, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16, and must meet the data type deduction rules (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64, and must meet the data type deduction rules (see ) with [object Object].
  • [object Object] (aclScalar*, computation input): [object Object] in the formula, [object Object] on the device.
    • [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, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, COMPLEX64, or BFLOAT16, and must meet the data type deduction rules (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, INT32, INT64, INT16, INT8, UINT8, BOOL, COMPLEX128, or COMPLEX64, and must meet the data type deduction rules (see ) with [object Object].
  • [object Object] (int, computation input): rounding mode of the quotient, input [object Object] in the formula. It is an integer on the host. The valid values are:[object Object][object Object] (corresponding to None): Rounding is not performed by default.[object Object][object Object] (corresponding to [object Object]): The fractional part of the quotient is rounded to zero.[object Object][object Object] (corresponding to [object Object]): The quotient is rounded down.
  • [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 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]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: When [object Object] is set to [object Object] ([object Object] mode) or [object Object] ([object Object] mode), the limited precision of FLOAT16/BFLOAT16 may result in errors during rounding or rounding down because not all fractional parts can be represented. You are advised to use data types with higher precision, such as FLOAT32.

[object Object]

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