---
title: "applyBackward(batchSize:input:output:outputGradient:generatingWeightsGradient:)"
framework: accelerate
role: symbol
role_heading: Instance Method
path: "accelerate/bnns/embeddinglayer/applybackward(batchsize:input:output:outputgradient:generatingweightsgradient:)"
---

# applyBackward(batchSize:input:output:outputGradient:generatingWeightsGradient:)

Applies the layer backward to generate input gradients.

## Declaration

```swift
func applyBackward(batchSize: Int, input: BNNSNDArrayDescriptor, output: BNNSNDArrayDescriptor, outputGradient: BNNSNDArrayDescriptor, generatingWeightsGradient weightsGradient: BNNSNDArrayDescriptor) throws
```

## Parameters

- `batchSize`: The number of input-output pairs.
- `input`: The descriptor of the input.
- `output`: The descriptor of the output.
- `outputGradient`: The descriptor of the output gradient.
- `weightsGradient`: The descriptor of the input gradient.

## See Also

### Applying an Embedding Layer

- [apply(batchSize:input:output:)](accelerate/bnns/embeddinglayer/apply(batchsize:input:output:).md)