@class MLPModelConvolutionDataSource;

@interface MLPConvolutionLayer : MLPConvolutionBase

@property (retain) MLPModelConvolutionDataSource *dataSource;
@property const void *initialWeights;
@property const void *initialBias;

- (void).cxx_destruct;
- (id)backward:(id)a0 inputGradient:(id)a1;
- (void)createKernel;
- (id)forward:(id)a0 input:(id)a1 labels:(id)a2 runInference:(BOOL)a3;
- (id)generateNode:(id)a0 model:(id)a1 weightIter:(unsigned long long *)a2;
- (id)initWithName:(id)a0 inputLength:(unsigned long long)a1 inputChannels:(unsigned long long)a2 kernelWidth:(unsigned long long)a3 kernelHeight:(unsigned long long)a4 kernelStride:(unsigned long long)a5 outputChannels:(unsigned long long)a6 neuronType:(int)a7 neuronParams:(id)a8;
- (id)initWithName:(id)a0 parameters:(struct { long long x0; long long x1; long long x2; long long x3; long long x4; long long x5; long long x6; long long x7[8]; unsigned long long x8; int x9[8][4]; int x10[4][4]; int x11[16]; float x12[16]; void *x13[16]; void *x14[16]; } *)a1;
- (id)initWithName:(id)a0 previousLayer:(id)a1 kernelWidth:(unsigned long long)a2 kernelHeight:(unsigned long long)a3 kernelStride:(unsigned long long)a4 outputChannels:(unsigned long long)a5 neuronType:(int)a6 neuronParams:(id)a7;
- (void)updatePrimaryCurrentState:(id)a0 index:(id)a1 inference:(BOOL)a2;

@end