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All Samples(14)  |  Call(10)  |  Derive(0)  |  Import(4)

        def load(fname, target_dict, verbose = True):
    fo = gzip.GzipFile(fname, 'rb')
    var_list = pickle.load(fo)
    if verbose:
        print var_list
    for var in var_list:
        target_dict[var] = pickle.load(fo)
    fo.close()
        


src/d/e/deepnet-HEAD/cudamat/examples/rbm_cudamat.py   deepnet(Download)
 
# load data
util.load('mnist.dat', globals())
dev_dat = cm.CUDAMatrix(cm.reformat(dat/255.))
 

src/c/u/cudamat-HEAD/examples/rbm_cudamat.py   cudamat(Download)
 
# load data
util.load('mnist.dat', globals())
dev_dat = cm.CUDAMatrix(cm.reformat(dat/255.))
 

src/d/e/deepnet-HEAD/cudamat/examples/rbm_numpy.py   deepnet(Download)
 
# load data
util.load('mnist.dat', globals())
dat = dat/255.
 

src/d/e/deepnet-HEAD/cudamat/examples/nn_cudamat.py   deepnet(Download)
 
# load data
util.load('mnist49.dat', globals())
 
# Put training data onto the GPU.

src/c/u/cudamat-HEAD/examples/rbm_numpy.py   cudamat(Download)
 
# load data
util.load('mnist.dat', globals())
dat = dat/255.
 

src/c/u/cudamat-HEAD/examples/nn_cudamat.py   cudamat(Download)
 
# load data
util.load('mnist49.dat', globals())
 
# Put training data onto the GPU.

src/c/a/calibcant-0.9/calibcant/bump_analyze.py   calibcant(Download)
from .util import SaveSpec as _SaveSpec
from .util import save as _save
from .util import load as _load
 
 
        _SaveSpec(key=('processed',), relpath='processed', units='V/m'),
        ]
    return _load(filename=filename, group=group, specs=specs)
 
def plot(data, yguess=None, yfit=None):

src/c/a/calibcant-0.9/calibcant/vibration_analyze.py   calibcant(Download)
from .util import SaveSpec as _SaveSpec
from .util import save as _save
from .util import load as _load
 
 
        _SaveSpec(key=('processed',), relpath='processed', units='V^2/Hz'),
        ]
    return _load(filename=filename, group=group, specs=specs)
 
def plot(deflection=None, freq_axis=None, power=None, A=None, B=None,

src/c/a/calibcant-0.9/calibcant/temperature_analyze.py   calibcant(Download)
from .util import SaveSpec as _SaveSpec
from .util import save as _save
from .util import load as _load
 
 
        _SaveSpec(key=('raw',), relpath='raw', units='K'),
        ]
    return _load(filename=filename, group=group, specs=specs)
 
def plot(raw=None, processed=None):

src/c/a/calibcant-0.9/calibcant/calibrate.py   calibcant(Download)
from .analyze import save_results as _save_results
from .util import SaveSpec as _SaveSpec
from .util import load as _load
 
 
                      units='N/m', deviation='spring_constant_deviation'),
            ]
        return _load(filename=filename, group=group, specs=specs)
 
    def load_raw(self, filename=None, group='/'):