[object Object]

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

Description: Zeros input elements randomly with a probability of [object Object] and scales the output by [object Object] during training. If a bit in [object Object] is [object Object], the corresponding input element is scaled; if a bit in [object Object] is [object Object], the corresponding [object Object] element is zeroed. Specifically, if [object Object] is [object Object], the [object Object] elements remain unchanged; if [object Object] is [object Object], all elements are zeroed.

$$out_i=\begin{cases} 0,&\text { with probability }prob \\ \frac{1}{1-prob}self_i, &\text { with probability }1-prob \end{cases}$$ [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*, computation input): input [object Object] in the formula. The shape must be 0D to 8D. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT or FLOAT16.
    • [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, or BFLOAT16.
  • [object Object] (aclTensor*, computation input): bitmask data stored as UINT8. The data type can be UINT8. The shape must be 1D to 8D. The shape must be ([object Object](number of elements in [object Object], 128)/8), indicating that the number of bits must be aligned with 128. [object Object] indicates that the number of elements in the input is rounded up to a multiple of 128. For example, the result of align (1111, 128) is 1152. are supported. The can be ND.
  • [object Object] (double, computation input): input [object Object] in the formula, which is used to calculate the output data scaling ratio.
  • [object Object] (aclTensor*, computation output): output tensor, [object Object] in the formula. The data type must be convertible from that of [object Object]. The shape must be identical to that of [object Object]. are supported. The can be ND.
    • [object Object]Atlas training products[object Object]: The data type can be FLOAT or FLOAT16.
    • [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, 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): 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 .