Description: Generates a [object Object] based on the probability [object Object] for zeroing out elements during training.
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]
Parameters
[object Object](aclIntArray*, computation input): 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 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](double, computation input): probability of zeroing out an element.[object Object](int64_t, computation input): seed for random number generation, which affects the generated random sequence.[object Object](int64_t, computation input): offset for random number generation, which affects the position of the generated sequence.[object Object](aclTensor*, computation output): bitmask data stored as UINT8. The data type can be UINT8, and the shape must be (align(number of input elements, 128)/8). are supported. The can be ND.[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
- Deterministic computation:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]