from pylab import *
import numpy
numpy.random.seed(42) # This seed is meaningful. :).
import GPULock
GPULock.GetGPULock()
import cudamat_ext as cm
cm.cublas_init()
cm.CUDAMatrix.init_random(42)
import cudamat as cm2
cm2.CUDAMatrix.init_random(42)
import logging
from mercurial import ui, hg, localrepo
import nnet_train, sys, os
import htkdb_cm, shutil
import argparse, time
from model_averaging import *
parser = argparse.ArgumentParser()
parser.add_argument('--skip_repo', dest='skip_repo', action='store_true',
default=False, help='Do not check repository state')
parser.add_argument('--wsj', action='store_true', default=False,
help='Are we decoding wsj')
group = parser.add_mutually_exclusive_group()
group.add_argument('--use_delta', action='store_true',
help="Use deltas and accelerations in training")
group.add_argument('--no_delta', action='store_true',
help="Dont use deltas and accelerations in training")
parser.add_argument('--num_frames_per_pt', type=int, default=15,
help='Number of frames per point')
import numpy, shutil
from numpy import zeros, argsort, arange, log, exp, concatenate, sqrt, dot, tile
import nnet_train_multi_soft
from mercurial import ui, hg, localrepo
import sys, os
import GPULock, util, HTK, htkdb_cm
id = GPULock.GetGPULock()
import cudamat_ext as cm
numpy.random.seed(42) # This seed is meaningful. :).
cm.cublas_init()
cm.CUDAMatrix.init_random(42)
import logging, StripedFuncs
import argparse, time
from google.protobuf.text_format import Merge
import run_params_pb2
parser = argparse.ArgumentParser()
parser.add_argument('--skip_repo',
dest='skip_repo',
action='store_true',
default=False,
help='Do not check repository state')
parser.add_argument('--probabilities',
dest='probabilities',
action='store_true',
default=False,
help='Output probabilities rather than activations')
parser.add_argument('db_name', help='Path to database')
parser.add_argument('output_path', help='Path to raw file')
parser.add_argument('in_db_path', help='Path to database')