[object Object]

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

• Description: Computes the bitwise OR between elements in the input tensor [object Object] and the input scalar [object Object]. The input [object Object] and [object Object] must be of the INT or BOOL type. For the BOOL type, the operator computes the logical OR.
• Formula:$$\text{out}_i = \text{self}_i \, | \, \text{other}$$

[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 written in place to the input tensor's memory.

• Each operator has calls. First, [object Object] or [object Object] is called to obtain the workspace size required for computation and the executor covering 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, which is an aclTensor on the device. It supports . Its can be ND, and the data dimensions cannot exceed 8.
    • [object Object]Atlas training products[object Object], [object Object]Atlas inference products[object Object], [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 BOOL, INT8, INT16, UINT16, INT32, INT64, or UINT8. The data type must follow the type promotion rules with [object Object] (see ). The resulting data type must be within the supported range listed above.
  • [object Object] (aclScalar*, computation input): input [object Object] in the formula, which is an aclScalar on the host.
    • [object Object]Atlas training products[object Object], [object Object]Atlas inference products[object Object], [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 BOOL, INT8, INT16, UINT16, INT32, INT64, or UINT8. The data type must follow the type promotion rules with [object Object] (see ), and the promoted data type must be within the supported data types.
  • [object Object] (aclTensor *, computation output): [object Object] in the formula, which is an aclTensor on the device. Its data type must be one convertible from the type deduced from [object Object] and [object Object]. The shape of [object Object] must be the same as that of [object Object]. It supports . Its can be ND, and the data dimensions cannot exceed 8.
    • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type can be BOOL, INT8, INT16, UINT16, INT32, INT64, UINT8, FLOAT, FLOAT16, or DOUBLE.
    • [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 BOOL, INT8, INT16, UINT16, INT32, INT64, UINT8, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.
  • [object Object] (uint64_t *, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor **, output): operator executor, covering 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 [object Object].
  • [object Object] (aclOpExecutor *, input): operator executor, covering 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/output): input/output tensor, that is, [object Object] and [object Object] in the formula. [object Object] on the device. It supports . Its can be ND, and the data dimensions cannot exceed 8.
    • [object Object]Atlas training products[object Object], [object Object]Atlas inference products[object Object], [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 BOOL, INT8, INT16, UINT16, INT32, INT64, or UINT8. The data type must follow the type promotion rules with [object Object] (see ). The resulting data type must be convertible to the output data type according to the ).
  • [object Object] (aclScalar*, computation input): input [object Object] in the formula, which is an aclScalar on the host.
    • [object Object]Atlas training products[object Object], [object Object]Atlas inference products[object Object], [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 BOOL, INT8, INT16, UINT16, INT32, INT64, or UINT8. The data type must follow the type promotion rules with [object Object] (see ).
  • [object Object] (uint64_t *, output): size of the workspace to be allocated on the device.
  • [object Object] (aclOpExecutor **, output): operator executor, covering 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 [object Object].
  • [object Object] (aclOpExecutor *, input): operator executor, covering 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] each default to a deterministic implementation.

[object Object]

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

aclnnBitwiseOrScalar sample code:

aclnnInplaceBitwiseOrScalar sample code: