Python DataMan_msra примеры использования

Пример #1

Файл: test_convnet_msra.py Проект: Robert0812/DeepSal

from sals.models import sgd_optimizer
from sals.models import FCLayer, GeneralModel, ConvLayer
from sals.utils.DataHelper import DataMan_msra
from sals.utils.FunctionHelper import *

import numpy as np
import theano 
import theano.tensor as T 
import time 

if __name__ == '__main__':

	file_msra = '../data/msra_flatten.pkl'
	msra = DataMan_msra()
	if not os.path.isfile(file_msra):
		msra.convert2pkl(file_msra)

	cpudata = msra.load()
	msra.share2gpumem(cpudata)

	bs = 200
	imL = 48
	filterL = 5
	recfield = 2
	nfilter1 = 32

	x = T.matrix(name='x', dtype=theano.config.floatX)
	y = T.matrix(name='y', dtype=theano.config.floatX)
	
	layer0 = x.reshape((bs, 3, imL, imL))
	conv1 = ConvLayer(input = layer0, image_shape = (bs, 3, imL, imL),

Пример #2

Файл: test_convnet_msra_3layers.py Проект: Robert0812/DeepSal

from sals.models import sgd_optimizer
from sals.models import FCLayer, GeneralModel, ConvLayer
from sals.utils.DataHelper import DataMan_msra
from sals.utils.FunctionHelper import *

import numpy as np
import theano 
import theano.tensor as T 
import time 

if __name__ == '__main__':

	msra = DataMan_msra('../data/msra_norm3.pkl')
	cpudata = msra.load()
	msra.share2gpumem(cpudata)

	bs = 1000
	imL = 48
	filterL = 5
	recfield = 2
	nfilter1 = 32
	nfilter2 = 32
	filterL2= 5

	x = T.matrix(name='x', dtype=theano.config.floatX)
	y = T.matrix(name='y', dtype=theano.config.floatX)
	
	layer0 = x.reshape((bs, 3, imL, imL))
	conv1 = ConvLayer(input = layer0, image_shape = (bs, 3, imL, imL),
			filter_shape =(nfilter1, 3, filterL, filterL),
			pool_shape = (recfield, recfield),