[object Object]

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

• Description: Returns the remainder of each element in tensor [object Object] divided by scalar [object Object]. The sign of the result is the same as that of the divisor [object Object], and the absolute value of the result is less than that of [object Object].

• The actual computation of [object Object] is equivalent to the following formula:

  $$out_i = self_i - floor(self_i / other) * other$$

• Example:

  [object Object]

[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): input [object Object] in the formula. It supports . Its can be ND, and the data dimensions cannot exceed 8.

  • [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 INT32, INT64, FLOAT16, FLOAT, DOUBLE, or BFLOAT16. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).
  • [object Object]Atlas training products[object Object]: The data type can be INT32, INT64, FLOAT16, FLOAT, or DOUBLE. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).

  • [object Object] (aclScalar*, computation input): input [object Object] in the formula.

    • [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 INT32, INT64, FLOAT16, FLOAT, DOUBLE, or BFLOAT16. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).
    • [object Object]Atlas training products[object Object]: The data type can be INT32, INT64, FLOAT16, FLOAT, or DOUBLE. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).

  • [object Object] (aclTensor*, computation output): output [object Object] in the formula. The data type must be convertible to that after deduction between [object Object] and [object Object]. The shape must be the same as that of [object Object]. are supported. The can be ND. The data dimensions cannot be greater than 8.

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

  • [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 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): input and output tensors. are supported. The can be ND. The data dimensions cannot be greater than 8.
    • [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 INT32, INT64, FLOAT16, FLOAT, DOUBLE, or BFLOAT16. Its data type and the data type of [object Object] must meet the data type deduction rules (see ) and must be convertible after deduction.
    • [object Object]Atlas training products[object Object]: The data type can be INT32, INT64, FLOAT16, FLOAT, or DOUBLE. Its data type and the data type of [object Object] must meet the data type deduction rules (see ) and must be convertible after deduction.
  • [object Object] (aclScalar*, computation input): input [object Object] in the formula.
    • [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 INT32, INT64, FLOAT16, FLOAT, DOUBLE, or BFLOAT16. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).
    • [object Object]Atlas training products[object Object]: The data type can be INT32, INT64, FLOAT16, FLOAT, or DOUBLE. Its data type and the data type of [object Object] must meet the data type deduction rules (see ).
  • [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 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] defaults to deterministic implementation.
  • When the data type of [object Object] is INT32, the functionality and precision within the range of [–2^24, 2^24] are preferentially ensured.
  • When [object Object] is 0 and the data type of [object Object] is an integer, the result of [object Object] is [object Object].

[object Object]

The following example is for reference only. For details, see . aclnnRemainderTensorScalar sample code:

aclnnInplaceRemainderTensorScalar sample code: