SYMBOL INDEX (183 symbols across 45 files)

FILE: awd-lstm-lm/OpusHdfsCopy.py
  function checkHdfs (line 4) | def checkHdfs():
  function transferFileToHdfsPath (line 7) | def transferFileToHdfsPath(sourcepath, targetpath):
  function transferFileToHdfsDir (line 17) | def transferFileToHdfsDir(sourcepath, targetdir):

FILE: awd-lstm-lm/data.py
  class Dictionary (line 7) | class Dictionary(object):
    method __init__ (line 8) | def __init__(self):
    method add_word (line 14) | def add_word(self, word):
    method __len__ (line 23) | def __len__(self):
  class Corpus (line 27) | class Corpus(object):
    method __init__ (line 28) | def __init__(self, path):
    method tokenize (line 34) | def tokenize(self, path):

FILE: awd-lstm-lm/embed_regularize.py
  function embedded_dropout (line 5) | def embedded_dropout(embed, words, dropout=0.1, scale=None):

FILE: awd-lstm-lm/finetune.py
  function evaluate (line 104) | def evaluate(data_source, batch_size=10):
  function train (line 120) | def train():

FILE: awd-lstm-lm/locked_dropout.py
  class LockedDropout (line 5) | class LockedDropout(nn.Module):
    method __init__ (line 6) | def __init__(self):
    method forward (line 9) | def forward(self, x, dropout=0.5):

FILE: awd-lstm-lm/main.py
  function model_save (line 113) | def model_save(fn):
  function model_load (line 117) | def model_load(fn):
  function evaluate (line 209) | def evaluate(data_source, batch_size=10):
  function train (line 226) | def train():

FILE: awd-lstm-lm/model.py
  class RNNModel (line 13) | class RNNModel(nn.Module):
    method __init__ (line 16) | def __init__(self, rnn_type, ntoken, ninp, nhid, proplstm, nlayers, dr...
    method reset (line 91) | def reset(self):
    method init_weights (line 94) | def init_weights(self):
    method forward (line 100) | def forward(self, input, hidden, return_h=False):
    method init_hidden (line 148) | def init_hidden(self, bsz):

FILE: awd-lstm-lm/mylstm.py
  class SimplePlasticLSTM (line 28) | class SimplePlasticLSTM(nn.Module):
    method __init__ (line 29) | def __init__(self, isize, hsize, params):   # Note that 'params' is ig...
    method forward (line 57) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...
  class PlasticLSTM (line 110) | class PlasticLSTM(nn.Module):
    method __init__ (line 111) | def __init__(self, isize, hsize, params):
    method forward (line 188) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...
  class MyFastPlasticLSTM (line 272) | class MyFastPlasticLSTM(nn.Module):
    method __init__ (line 273) | def __init__(self, isize, hsize, params):
    method forward (line 326) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...
  class MyLSTM (line 400) | class MyLSTM(nn.Module):
    method __init__ (line 401) | def __init__(self, isize, hsize):
    method forward (line 419) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...
  class MyFastLSTM (line 436) | class MyFastLSTM(nn.Module):
    method __init__ (line 437) | def __init__(self, isize, hsize):
    method forward (line 451) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...

FILE: awd-lstm-lm/plotresults.py
  function mavg (line 26) | def mavg(x, N=20):

FILE: awd-lstm-lm/pointer.py
  function one_hot (line 52) | def one_hot(idx, size, cuda=True):
  function evaluate (line 59) | def evaluate(data_source, batch_size=10, window=args.window):

FILE: awd-lstm-lm/splitcross.py
  class SplitCrossEntropyLoss (line 9) | class SplitCrossEntropyLoss(nn.Module):
    method __init__ (line 11) | def __init__(self, hidden_size, splits, verbose=False):
    method logprob (line 26) | def logprob(self, weight, bias, hiddens, splits=None, softmaxed_head_r...
    method split_on_targets (line 72) | def split_on_targets(self, hiddens, targets):
    method forward (line 106) | def forward(self, weight, bias, hiddens, targets, verbose=False):

FILE: awd-lstm-lm/test.py
  function model_save (line 104) | def model_save(fn):
  function model_load (line 108) | def model_load(fn):
  function evaluate (line 184) | def evaluate(data_source, batch_size=10):

FILE: awd-lstm-lm/tmp.py
  class PlasticLSTM (line 11) | class PlasticLSTM(nn.Module):
    method __init__ (line 12) | def __init__(self, isize, hsize, params):
    method forward (line 65) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...
  class MyLSTM (line 143) | class MyLSTM(nn.Module):
    method __init__ (line 144) | def __init__(self, isize, hsize):
    method forward (line 161) | def forward(self, inputs, hidden): #, hebb, et, pw):  # hidden is a tu...

FILE: awd-lstm-lm/utils.py
  function repackage_hidden (line 4) | def repackage_hidden(h):
  function batchify (line 13) | def batchify(data, bsz, args):
  function get_batch (line 24) | def get_batch(source, i, args, seq_len=None, evaluation=False):

FILE: awd-lstm-lm/weight_drop.py
  class WeightDrop (line 5) | class WeightDrop(torch.nn.Module):
    method __init__ (line 6) | def __init__(self, module, weights, dropout=0, variational=False):
    method widget_demagnetizer_y2k_edition (line 14) | def widget_demagnetizer_y2k_edition(*args, **kwargs):
    method _setup (line 21) | def _setup(self):
    method _setweights (line 32) | def _setweights(self):
    method forward (line 45) | def forward(self, *args):

FILE: images/OpusHdfsCopy.py
  function checkHdfs (line 20) | def checkHdfs():
  function transferFileToHdfsPath (line 23) | def transferFileToHdfsPath(sourcepath, targetpath):
  function transferFileToHdfsDir (line 33) | def transferFileToHdfsDir(sourcepath, targetdir):

FILE: images/images.py
  function generateInputsAndTarget (line 79) | def generateInputsAndTarget(params, contiguousperturbation=True):
  class Network (line 129) | class Network(nn.Module):
    method __init__ (line 130) | def __init__(self, params):
    method forward (line 142) | def forward(self, input, yin, hebb):
    method initialZeroState (line 155) | def initialZeroState(self):
    method initialZeroHebb (line 158) | def initialZeroHebb(self):
  function train (line 162) | def train(paramdict=None):
  function main (line 272) | def main(nbpatterns, nbprescycles, homogenous, prestime, prestimetest, i...

FILE: maze/OpusHdfsCopy.py
  function checkHdfs (line 20) | def checkHdfs():
  function transferFileToHdfsPath (line 23) | def transferFileToHdfsPath(sourcepath, targetpath):
  function transferFileToHdfsDir (line 33) | def transferFileToHdfsDir(sourcepath, targetdir):

FILE: maze/anim.py
  function train (line 51) | def train(paramdict):

FILE: maze/animbatch.py
  function train (line 60) | def train(paramdict):

FILE: maze/batch.py
  class Network (line 64) | class Network(nn.Module):
    method __init__ (line 65) | def __init__(self, params):
    method forward (line 100) | def forward(self, inputs, hidden, hebb, et, pw):
    method initialZeroHebb (line 263) | def initialZeroHebb(self):
    method initialZeroPlasticWeights (line 265) | def initialZeroPlasticWeights(self):
    method initialZeroState (line 268) | def initialZeroState(self):
  function train (line 274) | def train(paramdict):

FILE: maze/makefigure.py
  function mavg (line 45) | def mavg(x, N):

FILE: maze/makemaze.py
  function genmaze (line 5) | def genmaze(size, nblines):

FILE: maze/maze.py
  class Network (line 70) | class Network(nn.Module):
    method __init__ (line 71) | def __init__(self, params):
    method forward (line 138) | def forward(self, input, hidden, hebb):
    method initialZeroHebb (line 215) | def initialZeroHebb(self):
    method initialZeroState (line 218) | def initialZeroState(self):
  function train (line 230) | def train(paramdict):

FILE: maze/plotfigure.py
  function mavg (line 24) | def mavg(x, N):

FILE: maze/plotresults.py
  function mavg (line 35) | def mavg(x, N):

FILE: maze/testbatch.py
  class Network (line 50) | class Network(nn.Module):
    method __init__ (line 51) | def __init__(self, params):
    method forward (line 115) | def forward(self, inputs, hidden, hebb, et, pw):
    method initialZeroHebb (line 498) | def initialZeroHebb(self):
    method initialZeroPlasticWeights (line 501) | def initialZeroPlasticWeights(self):
    method initialZeroState (line 504) | def initialZeroState(self):
  function train (line 510) | def train(paramdict):

FILE: maze/testnobatch.py
  class Network (line 50) | class Network(nn.Module):
    method __init__ (line 51) | def __init__(self, params):
    method forward (line 144) | def forward(self, inputs, hidden, hebb, et, pw):
    method initialZeroHebb (line 573) | def initialZeroHebb(self):
    method initialZeroPlasticWeights (line 575) | def initialZeroPlasticWeights(self):
    method initialZeroState (line 578) | def initialZeroState(self):
  function train (line 588) | def train(paramdict):

FILE: omniglot/omniglot.py
  function generateInputsLabelsAndTarget (line 91) | def generateInputsLabelsAndTarget(params, imagedata, test=False):
  class Network (line 165) | class Network(nn.Module):
    method __init__ (line 166) | def __init__(self, params):
    method forward (line 199) | def forward(self, inputx, inputlabel, hebb):
    method initialZeroHebb (line 236) | def initialZeroHebb(self):
  function train (line 243) | def train(paramdict=None):
  function main (line 430) | def main(nbclasses, alpha, rule, gamma, steplr, activ, flare, nbshots, n...

FILE: omniglot/plotresults.py
  function mavg (line 9) | def mavg(x, N):

FILE: omniglot/test_omniglot_allseeds.py
  function generateInputsLabelsAndTarget (line 80) | def generateInputsLabelsAndTarget(params, imagedata, test=False):
  function train (line 156) | def train(paramdict=None):
  function main (line 336) | def main(nbclasses, nbshots, prestime, prestimetest, interpresdelay, nbi...

FILE: simple/OpusHdfsCopy.py
  function checkHdfs (line 20) | def checkHdfs():
  function transferFileToHdfsPath (line 23) | def transferFileToHdfsPath(sourcepath, targetpath):
  function transferFileToHdfsDir (line 33) | def transferFileToHdfsDir(sourcepath, targetdir):

FILE: simple/full.py
  function generateInputsAndTarget (line 82) | def generateInputsAndTarget():
  class NETWORK (line 121) | class NETWORK(nn.Module):
    method __init__ (line 122) | def __init__(self):
    method forward (line 131) | def forward(self, input, yin, hebb):
    method initialZeroState (line 142) | def initialZeroState(self):
    method initialZeroHebb (line 145) | def initialZeroHebb(self):
    method zeroDiagAlpha (line 148) | def zeroDiagAlpha(self):

FILE: simple/lstm.py
  function generateInputsAndTarget (line 91) | def generateInputsAndTarget():
  class NETWORK (line 138) | class NETWORK(nn.Module):
    method __init__ (line 139) | def __init__(self):
    method forward (line 145) | def forward(self, inputs,):
    method initialZeroState (line 177) | def initialZeroState(self):

FILE: simple/simple.py
  function generateInputsAndTarget (line 69) | def generateInputsAndTarget():
  class NETWORK (line 107) | class NETWORK(nn.Module):
    method __init__ (line 108) | def __init__(self):
    method forward (line 116) | def forward(self, input, yin, hebb):
    method initialZeroState (line 122) | def initialZeroState(self):
    method initialZeroHebb (line 126) | def initialZeroHebb(self):

FILE: simple/simplest.py
  function generateInputsAndTarget (line 46) | def generateInputsAndTarget():

FILE: simplemaze/maze.py
  class Network (line 65) | class Network(nn.Module):
    method __init__ (line 67) | def __init__(self, isize, hsize):
    method forward (line 86) | def forward(self, inputs, hidden): # hidden is a tuple containing the ...
    method initialZeroState (line 124) | def initialZeroState(self, BATCHSIZE):
    method initialZeroHebb (line 128) | def initialZeroHebb(self, BATCHSIZE):
  function train (line 138) | def train(paramdict):

FILE: sr/OpusHdfsCopy.py
  function checkHdfs (line 4) | def checkHdfs():
  function transferFileToHdfsPath (line 7) | def transferFileToHdfsPath(sourcepath, targetpath):
  function transferFileToHdfsDir (line 17) | def transferFileToHdfsDir(sourcepath, targetdir):

FILE: sr/anim.py
  function train (line 48) | def train(paramdict):

FILE: sr/makefigure.py
  function my_mavg (line 24) | def my_mavg(x, N):

FILE: sr/modul.py
  class NonPlasticRNN (line 19) | class NonPlasticRNN(nn.Module):
    method __init__ (line 20) | def __init__(self, params):
    method forward (line 37) | def forward(self, inputs, hidden): #, hebb):
    method initialZeroState (line 55) | def initialZeroState(self):
  class PlasticRNN (line 63) | class PlasticRNN(nn.Module):
    method __init__ (line 64) | def __init__(self, params):
    method forward (line 83) | def forward(self, inputs, hidden, hebb):
    method initialZeroHebb (line 105) | def initialZeroHebb(self):
    method initialZeroState (line 108) | def initialZeroState(self):
  class SimpleModulRNN (line 115) | class SimpleModulRNN(nn.Module):
    method __init__ (line 116) | def __init__(self, params):
    method forward_test (line 135) | def forward_test(self, inputs, hidden, hebb):
    method forward (line 145) | def forward(self, inputs, hidden, hebb):
    method initialZeroHebb (line 198) | def initialZeroHebb(self):
    method initialZeroState (line 201) | def initialZeroState(self):
  class RetroModulRNN (line 209) | class RetroModulRNN(nn.Module):
    method __init__ (line 210) | def __init__(self, params):
    method forward (line 230) | def forward(self, inputs, hidden, hebb, et, pw):
    method initialZeroHebb (line 283) | def initialZeroHebb(self):
    method initialZeroPlasticWeights (line 286) | def initialZeroPlasticWeights(self):
    method initialZeroState (line 288) | def initialZeroState(self):

FILE: sr/plotresults.py
  function mavg (line 39) | def mavg(x, N):

FILE: sr/srbatch.py
  function train (line 43) | def train(paramdict):

FILE: sr/srrun.py
  function train (line 35) | def train(paramdict):

FILE: sr/srrun1episode.py
  function train (line 35) | def train(paramdict):