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40 lines
1.5 KiB
40 lines
1.5 KiB
#ifndef DECONVOLUTIONAL_LAYER_H |
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#define DECONVOLUTIONAL_LAYER_H |
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#include "dark_cuda.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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#include "network.h" |
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typedef layer deconvolutional_layer; |
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#ifdef __cplusplus |
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extern "C" { |
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#endif |
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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, int skip, 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, int skip, 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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#ifdef __cplusplus |
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} |
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#endif |
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#endif
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