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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
Some bug fixes, random stuff
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@ -22,10 +22,10 @@ layer make_normalization_layer(int batch, int w, int h, int c, int size, float a
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layer.inputs = w*h*c;
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layer.outputs = layer.inputs;
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#ifdef GPU
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layer.output_gpu = cuda_make_array(0, h * w * c * batch);
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layer.delta_gpu = cuda_make_array(0, h * w * c * batch);
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layer.squared_gpu = cuda_make_array(0, h * w * c * batch);
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layer.norms_gpu = cuda_make_array(0, h * w * c * batch);
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layer.output_gpu = cuda_make_array(layer.output, h * w * c * batch);
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layer.delta_gpu = cuda_make_array(layer.delta, h * w * c * batch);
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layer.squared_gpu = cuda_make_array(layer.squared, h * w * c * batch);
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layer.norms_gpu = cuda_make_array(layer.norms, h * w * c * batch);
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#endif
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return layer;
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}
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@ -49,10 +49,10 @@ void resize_normalization_layer(layer *layer, int w, int h)
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cuda_free(layer->delta_gpu);
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cuda_free(layer->squared_gpu);
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cuda_free(layer->norms_gpu);
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layer->output_gpu = cuda_make_array(0, h * w * c * batch);
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layer->delta_gpu = cuda_make_array(0, h * w * c * batch);
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layer->squared_gpu = cuda_make_array(0, h * w * c * batch);
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layer->norms_gpu = cuda_make_array(0, h * w * c * batch);
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layer->output_gpu = cuda_make_array(layer->output, h * w * c * batch);
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layer->delta_gpu = cuda_make_array(layer->delta, h * w * c * batch);
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layer->squared_gpu = cuda_make_array(layer->squared, h * w * c * batch);
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layer->norms_gpu = cuda_make_array(layer->norms, h * w * c * batch);
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#endif
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}
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