[object Object]

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

• Function: performs linear interpolation between the start and end tensors based on the given weights, and returns the interpolated tensor.

• Formula:

$$\text { out }_i=\text { start }_i+\text { weight } \times\left(\text { end }_i-\text { start }_i\right)$$ [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]

• Parameter description:

  [object Object]
  • For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], self, end, and out do not support BFLOAT16.

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Parameter description:

  [object Object]
  • For [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object], selfRef and end do not support BFLOAT16.

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameter description:

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:
  • [object Object] &·[object Object] default to deterministic implementation.

[object Object]

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

aclnnLerps

aclnnInplaceLerps