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Minor fix

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AlexeyAB
2019-05-14 17:29:18 +03:00
parent 038289eb7d
commit 335ae91568
5 changed files with 27 additions and 27 deletions
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6
src/crnn_layer.c
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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
l.state = (float*)calloc(l.hidden * l.batch * (l.steps + 1), sizeof(float));
l.input_layer = (layer*)malloc(sizeof(layer));
l.input_layer = (layer*)calloc(1, sizeof(layer));
*(l.input_layer) = make_convolutional_layer(batch, steps, h, w, c, hidden_filters, groups, size, stride, pad, activation, batch_normalize, 0, xnor, 0, 0, 0);
l.input_layer->batch = batch;
if (l.workspace_size < l.input_layer->workspace_size) l.workspace_size = l.input_layer->workspace_size;
l.self_layer = (layer*)malloc(sizeof(layer));
l.self_layer = (layer*)calloc(1, sizeof(layer));
*(l.self_layer) = make_convolutional_layer(batch, steps, h, w, hidden_filters, hidden_filters, groups, size, stride, pad, activation, batch_normalize, 0, xnor, 0, 0, 0);
l.self_layer->batch = batch;
if (l.workspace_size < l.self_layer->workspace_size) l.workspace_size = l.self_layer->workspace_size;
l.output_layer = (layer*)malloc(sizeof(layer));
l.output_layer = (layer*)calloc(1, sizeof(layer));
*(l.output_layer) = make_convolutional_layer(batch, steps, h, w, hidden_filters, output_filters, groups, size, stride, pad, activation, batch_normalize, 0, xnor, 0, 0, 0);
l.output_layer->batch = batch;
if (l.workspace_size < l.output_layer->workspace_size) l.workspace_size = l.output_layer->workspace_size;