Esempi in Python per word_dict

Esempio n. 1

File: stacked_dynamic_lstm.py Progetto: reyoung/Paddle

from __future__ import division
from __future__ import print_function

import argparse
import cPickle
import os
import random
import time

import numpy
import paddle
import paddle.dataset.imdb as imdb
import paddle.fluid as fluid
import paddle.fluid.profiler as profiler

word_dict = imdb.word_dict()


def crop_sentence(reader, crop_size):
    unk_value = word_dict['<unk>']

    def __impl__():
        for item in reader():
            if len([x for x in item[0] if x != unk_value]) < crop_size:
                yield item

    return __impl__


def lstm_net(sentence, lstm_size):
    sentence = fluid.layers.fc(input=sentence, size=lstm_size, act='tanh')

Esempio n. 2

File: stacked_dynamic_lstm.py Progetto: absorbguo/Paddle

from __future__ import print_function

import argparse
import cPickle
import os
import random
import time

import numpy
import paddle
import paddle.dataset.imdb as imdb
import paddle.fluid as fluid
import paddle.batch as batch
import paddle.fluid.profiler as profiler

word_dict = imdb.word_dict()


def crop_sentence(reader, crop_size):
    unk_value = word_dict['<unk>']

    def __impl__():
        for item in reader():
            if len([x for x in item[0] if x != unk_value]) < crop_size:
                yield item

    return __impl__


def get_model(args):
    lstm_size = 512