Question

在构建蚂蚁期间我遇到了一个问题。我正在运行以下cmd：

import tensorflow as tf
import numpy as np
from tensorflow.keras.layers import Conv2D, MaxPool2D, Flatten, Dense, Dropout, Input

np.random.seed(1)
tf.set_random_seed(1)

batch_size = 128
NUM_CLASSES = 10

print(tf.__version__)

(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
#x_train, x_test = x_train / 255.0, x_test / 255.0 #normalizing

def tfdata_generator(images, labels, is_training, batch_size=128):
    '''Construct a data generator using tf.Dataset'''

    def preprocess_fn(image, label):
        '''A transformation function to preprocess raw data
        into trainable input. '''
        x = tf.reshape(tf.cast(image, tf.float32), (28, 28, 1))
        y = tf.one_hot(tf.cast(label, tf.uint8), NUM_CLASSES)
        return x, y

    dataset = tf.data.Dataset.from_tensor_slices((images, labels))
    if is_training:
        dataset = dataset.shuffle(1000)  # depends on sample size

    # Transform and batch data at the same time
    dataset = dataset.apply(tf.contrib.data.map_and_batch(
        preprocess_fn, batch_size,
        num_parallel_batches=2,  # cpu cores
        drop_remainder=True if is_training else False))
    dataset = dataset.repeat()
    dataset = dataset.prefetch(tf.contrib.data.AUTOTUNE)

    return dataset

training_set = tfdata_generator(x_train, y_train,is_training=True, batch_size=batch_size)
testing_set  = tfdata_generator(x_test, y_test, is_training=False, batch_size=batch_size)

inputs = Input(shape=(28, 28, 1))
x = Conv2D(32, (3, 3), activation='relu', padding='valid')(inputs)
x = MaxPool2D(pool_size=(2, 2))(x)
x = Conv2D(64, (3, 3), activation='relu')(x)
x = MaxPool2D(pool_size=(2, 2))(x)
x = Flatten()(x)
x = Dense(512, activation='relu')(x)
x = Dropout(0.5)(x)
outputs = Dense(NUM_CLASSES, activation='softmax')(x)

keras_model =  tf.keras.Model(inputs, outputs)

#Compile the model
keras_model.compile('adam', 'categorical_crossentropy', metrics=['acc'])

#Train with tf.data datasets
keras_training_history = keras_model.fit(
                            training_set.make_one_shot_iterator(),
                            steps_per_epoch=len(x_train) // batch_size,
                            epochs=5,
                            validation_data=testing_set.make_one_shot_iterator(),
                            validation_steps=len(x_test) // batch_size,
                            verbose=1)
print(keras_training_history.history)

运行上述命令后，我面临以下问题。

ant -f build.xml

错误出现在行号532 BUILD FAILED C:\ptc\Windchill_10.1\Windchill\bin\adminTools\WebServices\common\common-server. jws_xml:191: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Windchill\apacheConf\recorder\ApacheWebAppController.xml:3 9: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Windchill\apacheConf\recorder\ApacheWebAppController.xml:6 2: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Windchill\apacheConf\recorder\ApacheWebAppController.xml:2 45: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Windchill\apacheConf\recorder\ApacheWebAppController.xml:2 81: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Windchill\apacheConf\recorder\ApacheWebAppController.xml:2 67: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Apache\webAppConfig.xml:178: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Apache\webAppConfig.xml:247: The following error occurred while executing this line: C:\ptc\Windchill_10.1\Apache\webAppConfig.xml:532: error running fixcrlf on file C:\ptc\Windchill_10.1\Apache\conf\extra\ajpWorkers.conf

中

由于某种原因，我无法发布完整的代码。

任何人都可以帮助我，对此我将非常感谢。

蚂蚁构建期间构建失败

0 个答案: