[object Object]

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

• Description: Pads the input tensor with the reflection of the input boundary.

• Example:

  [object Object]

[object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.

• [object Object]

• [object Object]

[object Object]

• Parameters:

  • [object Object] (aclTensor*, computation input): aclTensor on the device. are supported. The can be ND. The dimension can be 3D or 4D.

    • [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]: FLOAT16, FLOAT32, BFLOAT16, DOUBLE, INT8, INT16, INT32, INT64, UINT8, BOOL, COMPLEX64, or COMPLEX128.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: FLOAT16, FLOAT32, DOUBLE, INT8, INT16, INT32, INT64, UINT8, or BOOL.

  • [object Object] (aclIntArray*, computation input): aclIntArray on the device. The data type is INT64 and the length is 4. The values represent the padding values on the left, right, top, and bottom, respectively. The first two values of [object Object] must be less than the value of the last dimension of [object Object], and the last two values must be less than the value of the penultimate dimension of [object Object].

  • [object Object] (aclTensor*, computation output): aclTensor on the device. The data type, , and dimension are the same as those of self. The value of the penultimate dimension of [object Object] is equal to the value of the penultimate dimension of [object Object] plus the last two values of [object Object]. The value of the last dimension of [object Object] is equal to the value of the last dimension of [object Object] plus the first two values of [object Object]. are supported.

    • [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]: FLOAT16, FLOAT32, BFLOAT16, DOUBLE, INT8, INT16, INT32, INT64, UINT8, BOOL, COMPLEX64, or COMPLEX128.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: FLOAT16, FLOAT32, DOUBLE, INT8, INT16, INT32, INT64, UINT8, or BOOL.

  • [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.

  • workspaceSize (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] defaults to a deterministic implementation.

  If the computation load is too large, the operator execution may time out (AI Core error, errorStr: timeout or trap error). This occurs when the last two axes combined are less than 16 and the leading axes combined are too large.

[object Object]

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