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input_ = test_batch_gen.next()[0]
output = model.predict(sess, input_)
print(output.shape)
replies = []
for ii, oi in zip(input_.T, output):
q = data_utils.decode(sequence=ii, lookup=metadata['idx2w'], separator=' ')
decoded = data_utils.decode(sequence=oi, lookup=metadata['idx2w'], separator=' ').split(' ')
if decoded.count('unk') == 0:
if decoded not in replies:
print('q : [{0}]; a : [{1}]'.format(q, ' '.join(decoded)))
replies.append(decoded)
I got errors:
usr/bin/python3.5 /home/kusuma/Videos/practical_seq2seq-master/test.py
Traceback (most recent call last):
File "/home/kusuma/Videos/practical_seq2seq-master/test.py", line 42, in
Building Graph output = model.predict(sess, input_)
File "/home/kusuma/Videos/practical_seq2seq-master/seq2seq_wrapper.py", line 175, in predict
dec_op_v = sess.run(self.decode_outputs_test, feed_dict)
AttributeError: 'NoneType' object has no attribute 'run'
The text was updated successfully, but these errors were encountered:
Oh,I see.You didn't load your model to sess before you run it.
You need to save your model after training using saver and load the model before you test it.
I used this code.
import tensorflow as tf
import numpy as np
preprocessed data
from datasets.twitter import data
import data_utils
load data from pickle and npy files
metadata, idx_q, idx_a = data.load_data(PATH='/home/kusuma/Videos/practical_seq2seq-master/datasets/twitter')
(trainX, trainY), (testX, testY), (validX, validY) = data_utils.split_dataset(idx_q, idx_a)
parameters
xseq_len = testX.shape[-1]
yseq_len = testY.shape[-1]
batch_size = 16
xvocab_size = len(metadata['idx2w'])
yvocab_size = xvocab_size
emb_dim = 1024
import seq2seq_wrapper
import importlib
importlib.reload(seq2seq_wrapper)
model = seq2seq_wrapper.Seq2Seq(xseq_len=xseq_len,
yseq_len=yseq_len,
xvocab_size=xvocab_size,
yvocab_size=yvocab_size,
ckpt_path='/home/kusuma/Videos/practical_seq2seq-master/ckpt/twitterseq2seq_model.ckpt-11000.data-00000-of-00001',
emb_dim=emb_dim,
num_layers=3
)
#val_batch_gen = data_utils.rand_batch_gen(validX, validY, 256)
test_batch_gen = data_utils.rand_batch_gen(testX, testY, 256)
#train_batch_gen = data_utils.rand_batch_gen(trainX, trainY, batch_size)
sess = model.test(test_batch_gen)
#sess = model.restore_last_session()
input_ = test_batch_gen.next()[0]
output = model.predict(sess, input_)
print(output.shape)
replies = []
for ii, oi in zip(input_.T, output):
q = data_utils.decode(sequence=ii, lookup=metadata['idx2w'], separator=' ')
decoded = data_utils.decode(sequence=oi, lookup=metadata['idx2w'], separator=' ').split(' ')
if decoded.count('unk') == 0:
if decoded not in replies:
print('q : [{0}]; a : [{1}]'.format(q, ' '.join(decoded)))
replies.append(decoded)
I got errors:
usr/bin/python3.5 /home/kusuma/Videos/practical_seq2seq-master/test.py
Traceback (most recent call last):
File "/home/kusuma/Videos/practical_seq2seq-master/test.py", line 42, in
Building Graph output = model.predict(sess, input_)
File "/home/kusuma/Videos/practical_seq2seq-master/seq2seq_wrapper.py", line 175, in predict
dec_op_v = sess.run(self.decode_outputs_test, feed_dict)
AttributeError: 'NoneType' object has no attribute 'run'
The text was updated successfully, but these errors were encountered: