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@ -48,17 +48,17 @@ layer make_crnn_layer(int batch, int h, int w, int c, int hidden_filters, int ou
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l.input_layer = malloc(sizeof(layer));
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fprintf(stderr, "\t\t");
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*(l.input_layer) = make_convolutional_layer(batch*steps, h, w, c, hidden_filters, 3, 1, 1, activation, batch_normalize, 0, 0);
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*(l.input_layer) = make_convolutional_layer(batch*steps, h, w, c, hidden_filters, 3, 1, 1, activation, batch_normalize, 0, 0, 0);
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l.input_layer->batch = batch;
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l.self_layer = malloc(sizeof(layer));
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fprintf(stderr, "\t\t");
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*(l.self_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, hidden_filters, 3, 1, 1, activation, batch_normalize, 0, 0);
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*(l.self_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, hidden_filters, 3, 1, 1, activation, batch_normalize, 0, 0, 0);
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l.self_layer->batch = batch;
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l.output_layer = malloc(sizeof(layer));
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fprintf(stderr, "\t\t");
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*(l.output_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, output_filters, 3, 1, 1, activation, batch_normalize, 0, 0);
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*(l.output_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, output_filters, 3, 1, 1, activation, batch_normalize, 0, 0, 0);
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l.output_layer->batch = batch;
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l.output = l.output_layer->output;
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