Created
March 18, 2018 13:54
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| import numpy as np | |
| f = tb.open_file('dot.h5', 'w') | |
| filters = tb.Filters(complevel=5, complib='blosc') | |
| out_data = f.create_earray(f.root, 'data', tb.Float32Atom(), shape=(0,), filters=filters) | |
| out_indices = f.create_earray(f.root, 'indices', tb.Int32Atom(),shape=(0,), filters=filters) | |
| out_indptr = f.create_earray(f.root, 'indptr', tb.Int32Atom(), shape=(0,), filters=filters) | |
| out_indptr.append(np.array([0])) #this is needed as a first indptr | |
| max_indptr = 0 | |
| for i in range(0, l, bl): | |
| res = a[i:min(i+bl, l),:].dot(b) | |
| out_data.append(res.data) | |
| indices = res.indices | |
| indptr = res.indptr | |
| out_indices.append(indices) | |
| out_indptr.append(max_indptr+indptr[1:]) | |
| max_indptr += indices.shape[0] |
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