| | |
| | | void add_bias_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
| | | #ifdef CUDNN |
| | | void cudnn_convolutional_setup(layer *l); |
| | | void cudnn_convolutional_setup(layer *l, int cudnn_preference); |
| | | void cuda_convert_f32_to_f16(float* input_f32, size_t size, float *output_f16); |
| | | #endif |
| | | #endif |
| | | |
| | | convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, int batch_normalization, int binary, int xnor); |
| | | convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam); |
| | | void denormalize_convolutional_layer(convolutional_layer l); |
| | | void resize_convolutional_layer(convolutional_layer *layer, int w, int h); |
| | | void forward_convolutional_layer(const convolutional_layer layer, network_state state); |