[object Object]

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

• Description: Perform linear interpolation between the start and end tensors based on the given weight and return 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]
  • [object Object]
  • [object Object]
  • [object Object]

[object Object]

• Parameters

  • [object Object] (aclTensor*, computation input): tensor that contains the start value, input [object Object] in the formula, and aclTensor on the device. The data type of [object Object] is the same as that of [object Object], and the shapes of [object Object] and [object Object] must meet the . are supported. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16 or FLOAT.
    • [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, or FLOAT.
  • [object Object] (aclTensor*, computation input): tensor that contains the end value, input [object Object] in the formula, [object Object] on the device. The data type of [object Object] is the same as that of [object Object], and the shapes of [object Object] and [object Object] must meet the . are supported. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16 or FLOAT.
    • [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, or FLOAT.
  • [object Object] (aclScalar*, computation input): weight, input [object Object] in the formula, [object Object] on the host. The data type must be a data type that can be converted to that of [object Object] (for details, see ).
  • [object Object] (aclTensor*, computation output): tensor that contains the result, [object Object] in the formula, aclTensor on the device. The shape of [object Object] is the same as the tensor shape obtained by broadcasting [object Object] and [object Object]. are supported. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT, 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 BFLOAT16, FLOAT16, FLOAT, or DOUBLE.
  • [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.
  • [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, containing 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): tensor containing the start value and tensor containing the result, [object Object] and [object Object] in the formula, [object Object] on the device. The data types of [object Object] and [object Object] are the same. The shapes of [object Object] and [object Object] meet the , and the shape after broadcasting is the same as that of [object Object]. are supported. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16 or FLOAT.
    • [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, or FLOAT.
  • [object Object] (aclTensor*, computation input): tensor that contains the end value, input [object Object] in the formula, and [object Object] on the device. The data type of [object Object] is the same as that of [object Object], and the shapes of [object Object] and [object Object] must meet the . are supported. The can be ND.
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT16 or FLOAT.
    • [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, or FLOAT.
  • [object Object] (aclScalar*, computation input): weight, input [object Object] in the formula, [object Object] on the host. The data type must be a data type that can be converted to that of [object Object] (for details, see ).
  • [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.
  • [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, 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] & [object Object] default to deterministic implementation.

[object Object]

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

aclnnLerps

aclnnInplaceLerps