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diff --git a/matlab/caffe/hdf5creation/store2hdf5.m b/matlab/caffe/hdf5creation/store2hdf5.m
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+++ b/matlab/caffe/hdf5creation/store2hdf5.m
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+function [curr_dat_sz, curr_lab_sz] = store2hdf5(filename, data, labels, create, startloc, chunksz)  
+  % *data* is W*H*C*N matrix of images should be normalized (e.g. to lie between 0 and 1) beforehand
+  % *label* is D*N matrix of labels (D labels per sample) 
+  % *create* [0/1] specifies whether to create file newly or to append to previously created file, useful to store information in batches when a dataset is too big to be held in memory  (default: 1)
+  % *startloc* (point at which to start writing data). By default, 
+  % if create=1 (create mode), startloc.data=[1 1 1 1], and startloc.lab=[1 1]; 
+  % if create=0 (append mode), startloc.data=[1 1 1 K+1], and startloc.lab = [1 K+1]; where K is the current number of samples stored in the HDF
+  % chunksz (used only in create mode), specifies number of samples to be stored per chunk (see HDF5 documentation on chunking) for creating HDF5 files with unbounded maximum size - TLDR; higher chunk sizes allow faster read-write operations 
+
+  % verify that format is right
+  dat_dims=size(data);
+  lab_dims=size(labels);
+  num_samples=dat_dims(end);
+
+  assert(lab_dims(end)==num_samples, 'Number of samples should be matched between data and labels');
+
+  if ~exist('create','var')
+    create=true;
+  end
+
+  
+  if create
+    %fprintf('Creating dataset with %d samples\n', num_samples);
+    if ~exist('chunksz', 'var')
+      chunksz=1000;
+    end
+    if exist(filename, 'file')
+      fprintf('Warning: replacing existing file %s \n', filename);
+      delete(filename);
+    end      
+    h5create(filename, '/data', [dat_dims(1:end-1) Inf], 'Datatype', 'single', 'ChunkSize', [dat_dims(1:end-1) chunksz]); % width, height, channels, number 
+    h5create(filename, '/label', [lab_dims(1:end-1) Inf], 'Datatype', 'single', 'ChunkSize', [lab_dims(1:end-1) chunksz]); % width, height, channels, number 
+    if ~exist('startloc','var') 
+      startloc.dat=[ones(1,length(dat_dims)-1), 1];
+      startloc.lab=[ones(1,length(lab_dims)-1), 1];
+    end 
+  else  % append mode
+    if ~exist('startloc','var')
+      info=h5info(filename);
+      prev_dat_sz=info.Datasets(1).Dataspace.Size;
+      prev_lab_sz=info.Datasets(2).Dataspace.Size;
+      assert(prev_dat_sz(1:end-1)==dat_dims(1:end-1), 'Data dimensions must match existing dimensions in dataset');
+      assert(prev_lab_sz(1:end-1)==lab_dims(1:end-1), 'Label dimensions must match existing dimensions in dataset');
+      startloc.dat=[ones(1,length(dat_dims)-1), prev_dat_sz(end)+1];
+      startloc.lab=[ones(1,length(lab_dims)-1), prev_lab_sz(end)+1];
+    end
+  end
+
+  if ~isempty(data)
+    h5write(filename, '/data', single(data), startloc.dat, size(data));
+    h5write(filename, '/label', single(labels), startloc.lab, size(labels));  
+  end
+
+  if nargout
+    info=h5info(filename);
+    curr_dat_sz=info.Datasets(1).Dataspace.Size;
+    curr_lab_sz=info.Datasets(2).Dataspace.Size;
+  end
+end