[object Object]

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

• Description: Returns the remainder of [object Object] divided by [object Object].

• Formula:

  For the input parameter [object Object] and the comparison scalar [object Object], [object Object] can be expressed by the following formula:

  $$out_{i} = self_{i} - (other *\left \lfloor (self_{i}/other) \right \rfloor)$$

[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): aclTensor on the device. are supported. The can be ND. The shape cannot be greater than 8D.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be within the supported data type range.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be within the supported data type range.
  • [object Object] (aclScalar*, compute input): aclScalar on the host. 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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be within the supported data type range.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be within the supported data type range.
  • [object Object] (aclTensor *, compute output): aclTensor on the device. The data type must be convertible from the deduced data type of [object Object] and [object Object]. The shape must be the same as that of [object Object]. The can be ND. The shape cannot be greater than 8D.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8.
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8.
  • [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 | compute output): input and output tensor, aclTensor on the device. are supported. The can be ND. The shape cannot be greater than 8D.
    • [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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be convertible (see ).
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object]. The deduced data type must be convertible (see ).
  • [object Object] (aclScalar*, compute input): aclScalar on the host. 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 DOUBLE, BFLOAT16, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object].
    • [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT16, FLOAT32, INT32, INT64, INT8, or UINT8, and must meet the data type deduction rules (see ) with [object Object].
  • [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 .

aclnnFmodScalar sample code:

aclnnInplaceFmodScalar sample code: