---
title: "BNNSDirectApplyLSTMBatchTrainingCaching(_:_:_:_:)"
framework: accelerate
role: symbol
role_heading: Function
path: "accelerate/bnnsdirectapplylstmbatchtrainingcaching(_:_:_:_:)"
---

# BNNSDirectApplyLSTMBatchTrainingCaching(_:_:_:_:)

Applies a long short-term memory (LSTM) layer directly to an input.

## Declaration

```swift
func BNNSDirectApplyLSTMBatchTrainingCaching(_ layer_params: UnsafePointer<BNNSLayerParametersLSTM>, _ filter_params: UnsafePointer<BNNSFilterParameters>?, _ training_cache_ptr: UnsafeMutableRawPointer?, _ training_cache_capacity: Int) -> Int32
```

## Parameters

- `layer_params`: The LSTM layer parameters.
- `filter_params`: Filter runtime parameters.
- `training_cache_ptr`: A pointer to the training cache buffer.
- `training_cache_capacity`: The minimum bytes capacity of the training cache buffer as computed by the training cache capacity function.

## Mentioned in

Using Long Short-Term Memory Layers (LSTM)

## See Also

### Recurrent layers

- [Using Long Short-Term Memory Layers (LSTM)](accelerate/using-long-short-term-memory-layers-lstm.md)
- [BNNSLSTMDataDescriptor](accelerate/bnnslstmdatadescriptor.md)
- [BNNSLSTMGateDescriptor](accelerate/bnnslstmgatedescriptor.md)
- [BNNSLayerFlags](accelerate/bnnslayerflags.md)
- [BNNSLayerParametersLSTM](accelerate/bnnslayerparameterslstm.md)
- [BNNSComputeLSTMTrainingCacheCapacity(_:)](accelerate/bnnscomputelstmtrainingcachecapacity(_:).md)
- [BNNSDirectApplyLSTMBatchBackward(_:_:_:_:_:)](accelerate/bnnsdirectapplylstmbatchbackward(_:_:_:_:_:).md)