[object Object]

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

• Description: Performs backpropagation of [object Object].

• Formula:

$$gradInput = gradOutput \cdot (1 -output^2)$$ [object Object]

Each operator has calls. First, [object Object] is called to obtain the input parameters and compute the required workspace size based on the process. Then, [object Object] is called to perform computation.

• [object Object]
• [object Object]

[object Object]

• Parameters

  • [object Object] (aclTensor*, compute input): [object Object] in the formula, [object Object] on the device. The shape must be the same as that of [object Object] or meet the with [object Object]. are supported. The can be ND.

    • [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 FLOAT, FLOAT16, DOUBLE, or BFLOAT16. The data type must be the same as that of [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE. The data type must be the same as that of [object Object].

  • [object Object] (aclTensor*, compute input): [object Object] in the formula, [object Object] on the device. The shape must be the same as that of [object Object] or meet the with [object Object]. are supported. The can be ND.

    • [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 FLOAT, FLOAT16, DOUBLE, or BFLOAT16. The data type must be the same as that of [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE. The data type must be the same as that of [object Object].

  • [object Object] (aclTensor*, compute output): [object Object] in the formula, [object Object] on the device. The shape must be the same as those of [object Object] and [object Object], or the same as the shapes of [object Object] and [object Object] after broadcasting. are supported. The can be ND.

    • [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 FLOAT, FLOAT16, DOUBLE, or BFLOAT16. The data type must be the same as those of [object Object] and [object Object].
    • [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE. The data type must be the same as those of [object Object] and [object Object].

  • [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 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.

• 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 .