linux sk_buff resources

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01-17-2008

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linux sk_buff resources

Hi,

I'm trying to build linear sk_buffs, non linear sk_buffs with page frames (nr_frags) and non linear skbuffs with linked list (frag_list) for testing of a kernel module I wrote. Does anyone have any better resources than the API for doing this? Like a guide type thing. The best I've found so far is:

How SKBs work

but that doesn't really go deep enough. I'm not worried about filling the skbuff with any data, just building the actual memory object to a certain size with a certain number of frags attached.

Any help is greatly appreciated,
Best Regards,
Brendan

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LEARN ABOUT DEBIAN

liblinear-predict

LIBLINEAR-PREDICT(1)					      General Commands Manual					      LIBLINEAR-PREDICT(1)

NAME

       liblinear-predict - Make predictions based on a trained linear classifier model

SYNOPSIS

       linear-predict [options] test_file model_file output_file

DESCRIPTION

       liblinear-predict  uses the linear classifier model-file to make predictions for each of the samples in test_file and stores the results in
       output_file.

OPTIONS

       A summary of options is included below.

       -b (0|1)
	      Whether to output probability estimates or not (default: 0)

EXAMPLES

       Train a linear SVM using L2-loss function with linear-train(1):

		  liblinear-train data_file

       Output probability estimates (for logistic regression only):

		  liblinear-predict -b 1 test_file data_file.model output_file

SEE ALSO

       liblinear-train(1), svm-predict(1), svm-train(1)

AUTHORS

       liblinear-predict was written by the LIBLINEAR authors at National Taiwan university for the LIBLINEAR Project.

       This manual page was written by Christian Kastner <debian@kvr.at>, for the Debian project (and may be used by others).

								  March 08, 2011					      LIBLINEAR-PREDICT(1)

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