问如何量化Theano脚本中有多少数据被复制到GPU中？

EN

import numpy as np
import theano.tensor as T
T.config.floatX = 'float32'
dataPoints = np.random.random((5000, 256 * 256)).astype(T.config.floatX)
#float32 data type requires 4 bytes
sizeinGBs = 5000 * 256 * 256 * 4 / 1024. / 1024 / 1024 + (some small over-head constant which we can ignore safely)

import theano.sandbox.cuda.basic_ops as sbcuda
import numpy as np
import theano.tensor as T
T.config.floatX = 'float32'
freeGPUMemInGBs = sbcuda.cuda_ndarray.cuda_ndarray.mem_info()[0]/1024./1024/1024
print "Your GPU has %s GBs of free memory" % str(freeGPUMemInGBs)
#An operation is to be executed below
testData = shared(np.random.random((5000, 256 * 256)).astype(T.config.floatX), borrow = True)
print "The tasks above used %s GBs of your GPU memory. The available memory is %s GBs" % (str(freeGPUMemInGBs - sbcuda.cuda_ndarray.cuda_ndarray.mem_info()[0]/1024./1024/1024), str(sbcuda.cuda_ndarray.cuda_ndarray.mem_info()[0]/1024./1024/1024))

>>> Your GPU has 11.2557678223 GBs of free memory
>>> The tasks above used 1.22077941895 GBs of your GPU memory. The available memory is 10.0349884033 GBs