[object Object]

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

• Description: Computes the dot product of two 1D tensors.

• Formula:

$$self = [x_{1}, x_{2}, ..., x_{n}]$$ $$tensor = [y_{1}, y_{2}, ..., y_{n}]$$ $$out = x_{1}*y_{1} + x_{2}*y_{2} + ... + x_{n}*y_{n}$$ [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]

• Parameters

  [object Object]
  • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns

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

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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

• The following is the aclnnDot sample code for the Ascend 950PR/Ascend 950DT, [object Object]Atlas A3 training products/Atlas A3 inference products[object Object], [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas inference products[object Object], and [object Object]Atlas training products[object Object].