From 168af40fe9a3cc81c6ee16b3e81f154780c36bdb Mon Sep 17 00:00:00 2001
From: Scheaven <xuepengqiang>
Date: 星期四, 03 六月 2021 15:03:27 +0800
Subject: [PATCH] up new v4

---
 lib/detecter_tools/darknet/convolutional_layer.h |  136 ++++++++++++++++++++++----------------------
 1 files changed, 68 insertions(+), 68 deletions(-)

diff --git a/lib/detecter_tools/darknet/convolutional_layer.h b/lib/detecter_tools/darknet/convolutional_layer.h
index 88df32d..e83ca87 100644
--- a/lib/detecter_tools/darknet/convolutional_layer.h
+++ b/lib/detecter_tools/darknet/convolutional_layer.h
@@ -1,68 +1,68 @@
-#ifndef CONVOLUTIONAL_LAYER_H
-#define CONVOLUTIONAL_LAYER_H
-
-#include "dark_cuda.h"
-#include "image.h"
-#include "activations.h"
-#include "layer.h"
-#include "network.h"
-
-typedef layer convolutional_layer;
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-#ifdef GPU
-void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
-void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
-void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay, float loss_scale);
-
-void push_convolutional_layer(convolutional_layer layer);
-void pull_convolutional_layer(convolutional_layer layer);
-
-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, size_t workspace_size_specify);
-void create_convolutional_cudnn_tensors(layer *l);
-void cuda_convert_f32_to_f16(float* input_f32, size_t size, float *output_f16);
-#endif
-#endif
-void free_convolutional_batchnorm(convolutional_layer *l);
-
-size_t get_convolutional_workspace_size(layer l);
-convolutional_layer make_convolutional_layer(int batch, int steps, int h, int w, int c, int n, int groups, int size, int stride_x, int stride_y, int dilation, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam, int use_bin_output, int index, int antialiasing, convolutional_layer *share_layer, int assisted_excitation, int deform, int train);
-void denormalize_convolutional_layer(convolutional_layer l);
-void set_specified_workspace_limit(convolutional_layer *l, size_t workspace_size_limit);
-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_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 binary_align_weights(convolutional_layer *l);
-
-void backward_convolutional_layer(convolutional_layer layer, network_state state);
-
-void add_bias(float *output, float *biases, int batch, int n, int size);
-void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
-
-image get_convolutional_image(convolutional_layer layer);
-image get_convolutional_delta(convolutional_layer layer);
-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_weights(convolutional_layer l, float scale, float trans);
-void rgbgr_weights(convolutional_layer l);
-void assisted_excitation_forward(convolutional_layer l, network_state state);
-void assisted_excitation_forward_gpu(convolutional_layer l, network_state state);
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif
+#ifndef CONVOLUTIONAL_LAYER_H
+#define CONVOLUTIONAL_LAYER_H
+
+#include "dark_cuda.h"
+#include "image.h"
+#include "activations.h"
+#include "layer.h"
+#include "network.h"
+
+typedef layer convolutional_layer;
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+#ifdef GPU
+void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
+void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
+void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay, float loss_scale);
+
+void push_convolutional_layer(convolutional_layer layer);
+void pull_convolutional_layer(convolutional_layer layer);
+
+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, size_t workspace_size_specify);
+void create_convolutional_cudnn_tensors(layer *l);
+void cuda_convert_f32_to_f16(float* input_f32, size_t size, float *output_f16);
+#endif
+#endif
+void free_convolutional_batchnorm(convolutional_layer *l);
+
+size_t get_convolutional_workspace_size(layer l);
+convolutional_layer make_convolutional_layer(int batch, int steps, int h, int w, int c, int n, int groups, int size, int stride_x, int stride_y, int dilation, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam, int use_bin_output, int index, int antialiasing, convolutional_layer *share_layer, int assisted_excitation, int deform, int train);
+void denormalize_convolutional_layer(convolutional_layer l);
+void set_specified_workspace_limit(convolutional_layer *l, size_t workspace_size_limit);
+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_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 binary_align_weights(convolutional_layer *l);
+
+void backward_convolutional_layer(convolutional_layer layer, network_state state);
+
+void add_bias(float *output, float *biases, int batch, int n, int size);
+void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
+
+image get_convolutional_image(convolutional_layer layer);
+image get_convolutional_delta(convolutional_layer layer);
+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_weights(convolutional_layer l, float scale, float trans);
+void rgbgr_weights(convolutional_layer l);
+void assisted_excitation_forward(convolutional_layer l, network_state state);
+void assisted_excitation_forward_gpu(convolutional_layer l, network_state state);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif

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