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35 lines
1.4 KiB
C
35 lines
1.4 KiB
C
#ifndef DECONVOLUTIONAL_LAYER_H
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#define DECONVOLUTIONAL_LAYER_H
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#include "cuda.h"
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#include "params.h"
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#include "image.h"
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#include "activations.h"
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#include "layer.h"
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typedef layer deconvolutional_layer;
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#ifdef GPU
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void forward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);
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void backward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);
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void update_deconvolutional_layer_gpu(deconvolutional_layer layer, float learning_rate, float momentum, float decay);
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void push_deconvolutional_layer(deconvolutional_layer layer);
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void pull_deconvolutional_layer(deconvolutional_layer layer);
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#endif
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deconvolutional_layer make_deconvolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, ACTIVATION activation);
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void resize_deconvolutional_layer(deconvolutional_layer *layer, int h, int w);
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void forward_deconvolutional_layer(const deconvolutional_layer layer, network_state state);
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void update_deconvolutional_layer(deconvolutional_layer layer, float learning_rate, float momentum, float decay);
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void backward_deconvolutional_layer(deconvolutional_layer layer, network_state state);
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image get_deconvolutional_image(deconvolutional_layer layer);
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image get_deconvolutional_delta(deconvolutional_layer layer);
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image get_deconvolutional_filter(deconvolutional_layer layer, int i);
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int deconvolutional_out_height(deconvolutional_layer layer);
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int deconvolutional_out_width(deconvolutional_layer layer);
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#endif
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