AttributeError：模块“张量流”没有属性“ scalar_summary”

时间：2020-01-11 02:51:53

标签： python

我是编码的新手，并且在Tim的chatbot教程中关注Tech。我相信所有内容都完全按照他的写法来复制，但始终会引发该错误。我正在使用tflearn和张量流1.15 它一直给我警告不要使用，所以我不得不添加忽略警告部分 进口警告 warnings.filterwarnings（“ ignore”）

import nltk
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()

import numpy
import tflearn
import tensorflow
import random
import json
import pickle

with open("/Users/Jerrod/Documents/intents.json") as file:
    data = json.load(file)

try:
    with open("data.pickle", "rb") as f:
        words, labels, training, output = pickle.load(f)
except:
    words = []
    labels = []
    docs_x = []
    docs_y = []

    for intent in data["intents"]:
        for pattern in intent["patterns"]:
            wrds = nltk.word_tokenize(pattern)
            words.extend(wrds)
            docs_x.append(wrds)
            docs_y.append(intent["tag"])

        if intent["tag"] not in labels:
            labels.append(intent["tag"])


    words = [stemmer.stem(w.lower()) for w in words if w not in "?"]
    words = sorted(list(set(words)))

    labels = sorted(labels)

    training = []
    output = []

    out_empty = [0 for _ in range(len(labels))]

    for x, doc in enumerate(docs_x):
        bag = []

        wrds = [stemmer.stem(w.lower()) for w in words if w != "?"]

        for w in words:
            if w in wrds:
                bag.append(1)
            else:
                bag.append(0)

        output_row = out_empty[:]
        output_row[labels.index(docs_y[x])] = 1

        training.append(bag)
        output.append(output_row)

    training = numpy.array(training)
    output = numpy.array(output)

    with open("data.pickle", "wb") as f:
        pickle.dump((words, labels, training, output), f)

tensorflow.reset_default_graph()

net = tflearn.input_data(shape=[None, len(training[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(output[0]), activation="softmax")
net = tflearn.regression(net)

model = tflearn.DNN(net)

try:
model.load("model.tflearn")
except:
    model.fit(training, output, n_epoch=1000, batch_size=8,             show_metric=True)
    model.save("model.tflearn")

def bag_of_words(s, words):
    bag = [0 for _ in range(len(words))]

    s_words = nltk.word_tokenize(s)
    s_words = [stemmer.stem(word.lower()) for word in s_words]

    for se in s_words:
        for i, w in enumerate(words):
            if w == se:
                bag[i] = 1

    return numpy.array(bag)

def chat():
    print("Start talking with the bot (type quit to stop!")
    while True:
        inp = input("You: ")
         if inp.lower() == "quit":
            break

        results = model.predict([bag_of_words(inp, words)])
        results_index = numpy.argmax(results)
        tag = labels[results_index]

        for tg in data["intents"]:
            if tg['tag'] == tag:
                responses = tg['responses']
        print(random.choice(responses))

chat()


WARNING:tensorflow:From /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/collections.py:13: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/main.py：71：名称tf.reset_default_graph已弃用。请改用tf.compat.v1.reset_default_graph。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/core.py:66：名称tf.placeholder已弃用。请改用tf.compat.v1.placeholder。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/core.py:69：不建议使用名称tf.add_to_collection。请改用tf.compat.v1.add_to_collection。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/initializations.py:173：调用TruncatedNormal。 init （from dtype的tensorflow.python.ops.init_ops）已过时，并将在以后的版本中删除。 更新说明： 使用dtype参数调用初始化程序实例，而不是将其传递给构造函数 警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/variables.py:44：名称tf.get_variable已弃用。请改用tf.compat.v1.get_variable。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/optimizers.py:238：不建议使用名称tf.train.AdamOptimizer。请改用tf.compat.v1.train.AdamOptimizer。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/estimator.py:96：名称tf.get_collection已弃用。请改用tf.compat.v1.get_collection。

警告：tensorflow：从/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/objectives.py:114：使用带有*的reduce_sum_v1（来自tensorflow.python.ops.math_ops）调用keep_dims已过时，将在以后的版本中删除。 更新说明： 不建议使用keep_dims，请改用keepdims 警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/objectives.py:118：名称tf.log已弃用。请改用tf.math.log。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/estimator.py:141：名称tf.trainable_variables已弃用。请改用tf.compat.v1.trainable_variables。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py:457：不建议使用名称tf.get_default_graph。请改用tf.compat.v1.get_default_graph。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/config.py:130：名称tf.assign已弃用。请改用tf.compat.v1.assign。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py:95：不建议使用名称tf.Session。请改用tf.compat.v1.Session。

2020-01-11 13：22：30.927045：I tensorflow / core / platform / cpu_feature_guard.cc：142]您的CPU支持该TensorFlow二进制文件未编译为使用的指令：AVX2 FMA 2020-01-11 13：22：30.940158：我tensorflow / compiler / xla / service / service.cc：168] XLA服务0x7f9fba93cac0已针对平台Host初始化（这不保证将使用XLA）。设备： 2020-01-11 13：22：30.940171：I tensorflow / compiler / xla / service / service.cc：176] StreamExecutor设备（0）：主机，默认版本 追溯（最近一次通话）： 在第79行中输入文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/main.py” 型号= tflearn.DNN（net） init 中的第57行中的文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/models/dnn.py” 会话=会话） init 中的文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py”，第111行 clip_gradients） 文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py”，第561行，在initialize_training_ops中 ema_num_updates = self.training_steps） 文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/summaries.py”，第243行，位于add_loss_summaries中 summaries_collection_key） 文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/summaries.py”，第46行，位于get_summary summ = tf.scalar_summary（标签，值） getattr 中的第193行中的文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tensorflow_core/python/util/module_wrapper.py” attr = getattr（self._tfmw_wrapped_module，名称） AttributeError：模块“ tensorflow”没有属性“ scalar_summary”

2 个答案:

答案 0 :(得分：0)

在0.12版本发布后，tf.scalar_summary（）函数已在master分支中移动。现在您可以找到它作为tf.summary.scalar（）。 祝好运！

答案 1 :(得分：0)

您的tflearn版本有点旧。所以，您要做的就是：

pip install tflearn --upgrade

我遇到了与您相同的问题，并使用此方法进行了修复。

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