[object Object]

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

• Description: Broadcasts the input tensor [object Object] to a tensor of a specified [object Object].

• Example:

  $$\begin{aligned} & self=\begin{bmatrix} 3 \end{bmatrix}\\ & size = \begin{bmatrix} 2,2 \end{bmatrix}\\ & out =\begin{bmatrix} 3 & 3\\ 3 & 3\\ \end{bmatrix}\\ \end{aligned}$$

[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*, compute input): target tensor to be broadcasted, that is, [object Object] in the formula and aclTensor on the device. It supports shapes from 0 to 8 dimensions, and the shape must satisfy the with [object Object]. are supported. The can be ND.
    • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type can be FLOAT16, FLOAT, UINT8, INT8, INT32, INT64, or BOOL.
    • [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 BFLOAT16, FLOAT16, FLOAT, UINT8, INT8, INT32, INT64, or BOOL.
  • [object Object] (aclIntArray*, compute input): size specified during broadcasting, that is, aclIntArray on the host. The data type can be INT.
  • [object Object] (aclTensor*, compute output): tensor after broadcasting, that is, aclTensor on the device. The data type must be the same as that of [object Object]. are supported. The can be ND. The shape must match the shape of [object Object] derived based on [object Object].
    • [object Object]Atlas training products[object Object] and [object Object]Atlas inference products[object Object]: The data type can be FLOAT16, FLOAT, UINT8, INT8, INT32, INT64, or BOOL.
    • [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 BFLOAT16, FLOAT16, FLOAT, UINT8, INT8, INT32, INT64, 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): 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.

• Deterministic computation:

  • [object Object] defaults to a deterministic implementation.

  [object Object]: status code. For details, see .

[object Object]

None

[object Object]

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