[object Object]

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

Formula:

If [object Object] is not input:

$$y=x*scale$$

If [object Object] is input:

$$y=x*scale + bias$$

Note: [object Object] and [object Object] support broadcasting with X. The shape rules of [object Object] and [object Object] are as follows:

• When scaleFromBlob is True (axis is converted to a positive number, and numAxes is -1, indicating the last axis):

  scaleShape is xShape[axis:axis + numAxes].

  biasShape is xShape[axis:axis + numAxes].

• When scaleFromBlob is False (axis is converted to a positive number, and numAxes is -1, indicating the first axis):

  scaleShape is xShape[axis:axis + rank(scaleShape)].

  biasShape is xShape[axis:axis + rank(scaleShape)].

Example:

• scaleFromBlob = True:

  xShape = [a, b, c, d, e, f] axis = 3 numAxes = 2 --> scaleShape = [d, e]

  xShape = [a, b, c, d, e, f] axis = 3 numAxes = 3 --> scaleShape = [d, e, f]

  xShape = [a, b, c, d, e, f] axis = 3 numAxes = -1 --> scaleShape = [d, e, f]

• scaleFromBlob = False:

  xShape = [a, b, c, d, e, f] axis = 3 rank(scaleShape) = 2 --> scaleShape = [d, e]

  xShape = [a, b, c, d, e, f] axis = 3 rank(scaleShape) = 3 --> scaleShape = [d, e, f]

  xShape = [a, b, c, d, e, f] axis = 3 rank(scaleShape) = 1 --> scaleShape = [d]

[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): tensor of the operator input, aclTensor on the device. are supported. The supports ND.
    • [object Object]Atlas inference products[object Object]: The data type can be FLOAT or FLOAT16.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, or BFLOAT16.
  • [object Object] (aclTensor*, compute input): tensor of the operator input, aclTensor on the device. The data type must be the same as that of [object Object]. are supported. The supports ND. The shape meets the broadcast requirements. For details, see [Function](#Function Description).
    • [object Object]Atlas inference products[object Object]: The data type can be FLOAT or FLOAT16.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, or BFLOAT16.
  • [object Object] (aclTensor*, compute input): tensor of the operator input, aclTensor on the device. If [object Object] is not empty, the data type must be the same as that of [object Object]. are supported. The supports ND. The shape must be the same as that of [object Object].
    • [object Object]Atlas inference products[object Object]: The data type can be FLOAT or FLOAT16.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, or BFLOAT16.
  • [object Object] (int64_t, compute input): INT64 type on the host, specifying the start axis for scaling. The value range is [–x_rank, x_rank), where x_rank indicates the shape of [object Object].
  • [object Object] (int64_t, compute input): INT64 type on the host, specifying the number of axes for scaling. The value range is >= -1, and numAxes = -1 indicates that scaling starts from the axis to the last axis.
  • [object Object] (bool, compute input): BOOL type on the host, specifying whether to scale from blob. True: scale from blob, and numAxes + axis is used for scaling. False: scale from input scale, and scale the input scale length from [object Object] and ignore the value of [object Object].
  • [object Object] (aclTensor*, compute output): output tensor, aclTensor on the device. The shape and data type must be the same those of [object Object]. are supported. The supports ND.
    • [object Object]Atlas inference products[object Object]: The data type can be FLOAT or FLOAT16.
    • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object], [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, or BFLOAT16.
  • [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): size 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 compute:
  • [object Object] defaults to a deterministic implementation.

[object Object]Atlas inference products[object Object]: The input of [object Object] and [object Object] cannot be bf16.

[object Object]

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