From 033e934ce82826c73d851098baf7ce4b1a27c89a Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Wed, 21 Feb 2018 16:14:01 +0000 Subject: [PATCH] If there is excessive GPU-RAM consumption by CUDNN then then do not use Workspace --- src/convolutional_layer.h | 16 +++++++++++----- 1 files changed, 11 insertions(+), 5 deletions(-) diff --git a/src/convolutional_layer.h b/src/convolutional_layer.h index 7c39181..da98dce 100644 --- a/src/convolutional_layer.h +++ b/src/convolutional_layer.h @@ -19,14 +19,20 @@ 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, int cudnn_preference); +#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); +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); void update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay); -image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters); +image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_weights); +void binarize_weights(float *weights, int n, int size, float *binary); +void swap_binary(convolutional_layer *l); +void binarize_weights2(float *weights, int n, int size, char *binary, float *scales); void backward_convolutional_layer(convolutional_layer layer, network_state state); @@ -35,12 +41,12 @@ image get_convolutional_image(convolutional_layer layer); image get_convolutional_delta(convolutional_layer layer); -image get_convolutional_filter(convolutional_layer layer, int i); +image get_convolutional_weight(convolutional_layer layer, int i); int convolutional_out_height(convolutional_layer layer); int convolutional_out_width(convolutional_layer layer); -void rescale_filters(convolutional_layer l, float scale, float trans); -void rgbgr_filters(convolutional_layer l); +void rescale_weights(convolutional_layer l, float scale, float trans); +void rgbgr_weights(convolutional_layer l); #endif -- Gitblit v1.10.0