Dmitry Persiyanov persiyanov

## python_memmap.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2010 Radim Rehurek <radimrehurek@seznam.cz>
# 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

## results.md

      
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                persiyanov
                / results.md
            
            
              Last active
              June 22, 2018 12:25
            
              
                Word2Vec benchmark without _job_producer with CythonLineSentence
              
          
    ----- 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.


## masked_matmul.py
import torch
import torch.autograd


class MaskedSpMatmul(torch.autograd.Function):
	CHUNK_SIZE = 10000

	@staticmethod
	def forward(ctx, a, b, mask):
		"""
	#!/usr/bin/env python
	# -- coding: utf-8 --
	#
	# Copyright (C) 2010 Radim Rehurek <radimrehurek@seznam.cz>
	# 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
	import torch
	import torch.autograd


	class MaskedSpMatmul(torch.autograd.Function):
	CHUNK_SIZE = 10000

	@staticmethod
	def forward(ctx, a, b, mask):
	"""