Computes [object Object] computation of the input [object Object], and performs backward propagation of [object Object] using the computed logits and label value [object Object].
Each operator has calls. First, aclnnBinaryCrossEntropyWithLogitsBackwardGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnBinaryCrossEntropyWithLogitsBackward is called to perform computation.
[object Object]
[object Object]
Parameters:
[object Object]- [object Object]Atlas inference series products[object Object] and [object Object]Atlas training series products[object Object]: The data type cannot be BFLOAT16.
Returns:
aclnnStatus: status code. For details, see .
The first-phase API implements input parameter verification. The following errors may be thrown.
[object Object]
- Deterministic compute:
- aclnnBinaryCrossEntropyWithLogitsBackward defaults to a deterministic implementation.
The following example is for reference only. For details, see .
[object Object]