----- MODEL "cython-linesentence-word2vec-window-05-workers-01-size-300" RESULTS -----
* Vocab time: 126.159779072 sec.
* Total epoch time: 1181.82512498 sec.
* Processing speed: 144372.118509 words/sec
* Avg CPU loads: 0.14, 0.35, 5.27, 94.53, 0.09, 0.23, 0.01, 0.02, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02, 0.33, 0.02
* Sum CPU load: 101.11282
----- MODEL "cython-linesentence-word2vec-window-05-workers-04-size-300" RESULTS -----
* Vocab time: 126.206352949 sec.
* Total epoch time: 305.442888975 sec.
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
# | |
# Copyright (C) 2010 Radim Rehurek <[email protected]> | |
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html | |
"""Corpus in the Matrix Market format. | |
This code uses python's struct library to read/write binary data |
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import torch | |
import torch.autograd | |
class MaskedSpMatmul(torch.autograd.Function): | |
CHUNK_SIZE = 10000 | |
@staticmethod | |
def forward(ctx, a, b, mask): | |
""" |
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