1．AttributeError: 'module' object has noattribute 'random_crop' 解决方案： 将distorted_image= tf.image.random_crop(reshaped_image, [height, width])改为： distorted_image = tf.random_crop(reshaped_image,[height, width,3]
#2.AttributeError: module 'tensorflow.tools.api.generator.api.image' has no attribute 'per_image_whitening' #将 float_image = tf.image.per_image_whitening(distorted_image)改为: #float_image = tf.image.per_image_standardization(distorted_image)
#3.AttributeError: module 'tensorflow' has no attribute 'image_summary'
#将 tf.image_summary('images', images))改为:
# tf.summary.image('images', images)
#4.AttributeError: module 'tensorflow' has no attribute 'histogram_summary' #将tf.histogram_summary(tensor_name + '/activations', x) 改为: # tf.summary.histogram(tensor_name + '/activations', x)
#5.AttributeError: module 'tensorflow' has no attribute 'scalar_summary' #将tf.scalar_summary(tensor_name + '/sparsity', tf.nn.zero_fraction(x)) 改为: # tf.summary.scalar(tensor_name + '/sparsity', tf.nn.zero_fraction(x))
#6.AttributeError: module 'tensorflow' has no attribute 'mul' #将 weight_decay = tf.mul(tf.nn.l2_loss(var), wd, name='weight_loss')改为: # weight_decay = tf.multiply(tf.nn.l2_loss(var), wd, name='weight_loss')
#7.ValueError: Shapes (2, 128, 1) and () are incompatible #将concated = tf.concat(1, [indices, sparse_labels])改为: # concated = tf.concat([indices, sparse_labels], 1)
#7.ValueError: Only call `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...) #将cifar10.loss(labels, logits)改为: #cifar10.loss(logits=logits,labels=labels) #将cross_entropy =tf.nn.softmax_cross_entropy_with_logits(logits,dense_labels,name='cross_entropy_per_example')改为: # cross_entropy =tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=dense_labels,name='cross_entropy_per_example')
#8.AttributeError: module 'tensorflow' has no attribute 'scalar_summary'
#将tf.scalar_summary('learning_rate', lr)改为:
#tf.summary.scalar('learning_rate', lr)
#8.TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is # defined, and use TensorFlow ops such as tf.cond to execute subgrap #if grad: 改为 if grad is not None:
#8.AttributeError: module 'tensorflow.tools.api.generator.api.train' has no attribute 'SummaryWriter' #将summary_writer = tf.train.SummaryWriter(FLAGS.train_dir,graph_def=sess.graph_def)改为: #summary_writer = tf.summary.FileWriter(FLAGS.train_dir,graph_def=sess.graph_def)
前言：相关环境搭建
Python的库sklearn安装 & bazel安装 & cmake
一：Tersorflow CIFAR-10 训练示例报错及解决方案（1）
1．AttributeError:'module' object has noattribute 'random_crop'
##解决方案：
将distorted_image= tf.image.random_crop(reshaped_image,[height, width])改为：
distorted_image = tf.random_crop(reshaped_image,[height,width,3])
2. AttributeError:'module'object has no attribute 'SummaryWriter'
##解决方案：tf.train.SummaryWriter改为：tf.summary.FileWriter
3. AttributeError:'module'object has no attribute 'summaries'
解决方案： tf.merge_all_summaries()改为：summary_op =tf.summaries.merge_all()
4. AttributeError: 'module' object hasno attribute'histogram_summary
tf.histogram_summary(var.op.name,var)改为： tf.summaries.histogram()
5. AttributeError: 'module' object hasno attribute'scalar_summary'
tf.scalar_summary(l.op.name+ ' (raw)', l)
##解决方案：
tf.scalar_summary('images',images)改为：tf.summary.scalar('images', images)
tf.image_summary('images',images)改为：tf.summary.image('images', images)
6. ValueError: Only call`softmax_cross_entropy_with_logits` withnamed arguments (labels=...,logits=..., ...)
##解决方案：
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits,labels=labels)
cross_entropy=tf.nn.softmax_cross_entropy_with_logits(
logits,dense_labels,name='cross_entropy_per_example')
改为：
cross_entropy =tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels,name='cross_entropy_per_example')
7. TypeError: Using a `tf.Tensor` as a Python `bool`isnot allowed. Use `if t is not None:` instead of `if t:` to test if a tensorisdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditionedon the value of a tensor.
##解决方案：
if grad: 改为 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible
###解决方案：
concated = tf.concat(1, [indices, sparse_labels])改为：
concated= tf.concat([indices, sparse_labels], 1)
9. 报错：（这个暂时没有遇到）
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line83, in read_cifar10
result.key, value=reader.read(filename_queue)
File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line326, in read
queue_ref = queue.queue_ref
AttributeError: 'str' object hasno attribute 'queue_ref'
###解决方案：
由于训练样本的路径需要修改，给cifar10_input.py中data_dir赋值为本地数据所在的文件夹
以上参考自 http://blog.csdn.net/xiao_lxl/article/details/70622209return tf.image.per_image_whitening(distorted_image)
AttributeError: 'module' object has no attribute'per_image_whitening'
2，tensorflow:AttributeError: 'module' object has noattribute 'mul'
3，bin/im2txt/evaluate.runfiles/im2txt/im2txt/evaluate.py",line 174, in run summary_op = tf.merge_all_summaries() AttributeError: 'module'object has no attribute 'merge_all_summaries'
What can I do for this?
三：结束语
公共学习，共同攻克cnn，如有不妥之处欢迎留言。
目录：
1，机器学习 & MR
Hadoop进阶（hadoop streaming c++实现 & MapReduce参数调优）
hadoop streaming （shell执行 & combiner & 数据分割）
hadoop streaming python 处理 lzo 文件遇到的问题
2，tensorflow 安转与使用
Tersorflow深度学习入门—— CIFAR-10 训练示例报错及解决方案
Python的库sklearn安装 & bazel安装 & cmake
3，工具安装
urlencode & quote & unquote (url 中带中文参数)
前言：相关环境搭建
Python的库sklearn安装 & bazel安装 & cmake
一：Tersorflow CIFAR-10 训练示例报错及解决方案（1）
1．AttributeError:'module' object has noattribute 'random_crop'
##解决方案：
将distorted_image= tf.image.random_crop(reshaped_image,[height, width])改为：
distorted_image = tf.random_crop(reshaped_image,[height,width,3])
2. AttributeError:'module'object has no attribute 'SummaryWriter'
##解决方案：tf.train.SummaryWriter改为：tf.summary.FileWriter
3. AttributeError:'module'object has no attribute 'summaries'
解决方案： tf.merge_all_summaries()改为：summary_op =tf.summaries.merge_all()
4. AttributeError: 'module' object hasno attribute'histogram_summary
tf.histogram_summary(var.op.name,var)改为： tf.summaries.histogram()
5. AttributeError: 'module' object hasno attribute'scalar_summary'
tf.scalar_summary(l.op.name+ ' (raw)', l)
##解决方案：
tf.scalar_summary('images',images)改为：tf.summary.scalar('images', images)
tf.image_summary('images',images)改为：tf.summary.image('images', images)
6. ValueError: Only call`softmax_cross_entropy_with_logits` withnamed arguments (labels=...,logits=..., ...)
##解决方案：
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits,labels=labels)
cross_entropy=tf.nn.softmax_cross_entropy_with_logits(
logits,dense_labels,name='cross_entropy_per_example')
改为：
cross_entropy =tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels,name='cross_entropy_per_example')
7. TypeError: Using a `tf.Tensor` as a Python `bool`isnot allowed. Use `if t is not None:` instead of `if t:` to test if a tensorisdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditionedon the value of a tensor.
##解决方案：
if grad: 改为 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible
###解决方案：
concated = tf.concat(1, [indices, sparse_labels])改为：
concated= tf.concat([indices, sparse_labels], 1)
9. 报错：（这个暂时没有遇到）
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line83, in read_cifar10
result.key, value=reader.read(filename_queue)
File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line326, in read
queue_ref = queue.queue_ref
AttributeError: 'str' object hasno attribute 'queue_ref'
###解决方案：
由于训练样本的路径需要修改，给cifar10_input.py中data_dir赋值为本地数据所在的文件夹
以上参考自 http://blog.csdn.net/xiao_lxl/article/details/70622209return tf.image.per_image_whitening(distorted_image)
AttributeError: 'module' object has no attribute'per_image_whitening'
2，tensorflow:AttributeError: 'module' object has noattribute 'mul'
3，bin/im2txt/evaluate.runfiles/im2txt/im2txt/evaluate.py",line 174, in run summary_op = tf.merge_all_summaries() AttributeError: 'module'object has no attribute 'merge_all_summaries'
What can I do for this?
三：结束语
公共学习，共同攻克cnn，如有不妥之处欢迎留言。
目录：
1，机器学习 & MR
Hadoop进阶（hadoop streaming c++实现 & MapReduce参数调优）
hadoop streaming （shell执行 & combiner & 数据分割）
hadoop streaming python 处理 lzo 文件遇到的问题
2，tensorflow 安转与使用
Tersorflow深度学习入门—— CIFAR-10 训练示例报错及解决方案
Python的库sklearn安装 & bazel安装 & cmake
3，工具安装
urlencode & quote & unquote (url 中带中文参数)
以下报错主要是由于TensorFlow升级1.0后与以前代码不兼容所致。
1．AttributeError: 'module' object has noattribute 'random_crop'
解决方案：
将distorted_image= tf.image.random_crop(reshaped_image, [height, width])改为：
distorted_image = tf.random_crop(reshaped_image,[height, width,3])
2. AttributeError: 'module'object has no attribute 'SummaryWriter'
解决方案：
tf.train.SummaryWriter改为：tf.summary.FileWriter
3. AttributeError: 'module'object has no attribute 'summaries'
解决方案：
tf.merge_all_summaries()改为：summary_op =tf.summaries.merge_all()
4. AttributeError: 'module' object hasno attribute 'histogram_summary'
tf.histogram_summary(var.op.name,var)改为： tf.summaries.histogram()
5. AttributeError: 'module' object hasno attribute 'scalar_summary'
tf.scalar_summary(l.op.name+ ' (raw)', l)
解决方案：
tf.scalar_summary('images',images)改为：tf.summary.scalar('images', images)
tf.image_summary('images',images)改为：tf.summary.image('images', images)
6. ValueError: Only call `softmax_cross_entropy_with_logits` withnamed arguments (labels=..., logits=..., ...)
解决方案：
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits,labels=labels)
cross_entropy= tf.nn.softmax_cross_entropy_with_logits(
logits, dense_labels,name='cross_entropy_per_example')
改为：
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels,name='cross_entropy_per_example')
7. TypeError: Using a `tf.Tensor` as a Python `bool` isnot allowed. Use `if t is not None:` instead of `if t:` to test if a tensor isdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditioned on the value of a tensor.
解决方案：
if grad: 改为 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible
解决方案：
concated = tf.concat(1, [indices, sparse_labels])改为：
concated= tf.concat([indices, sparse_labels], 1)
9. 报错：
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line 83, in read_cifar10
result.key, value =reader.read(filename_queue)
File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line 326, in read
queue_ref = queue.queue_ref
AttributeError: 'str' object hasno attribute 'queue_ref'
解决方案：
由于训练样本的路径需要修改，给cifar10_input.py中data_dir赋值为本地数据所在的文件夹
AttributeError: 'module' object has no attribute 'SummaryWriter'
tf.train.SummaryWriter改为：tf.summary.FileWriter
AttributeError: 'module' object has no attribute 'summaries'
tf.merge_all_summaries()改为：summary_op = tf.summaries.merge_all()
tf.histogram_summary(var.op.name, var)
AttributeError: 'module' object has no attribute 'histogram_summary'
改为： tf.summaries.histogram()
tf.scalar_summary(l.op.name + ' (raw)', l)
AttributeError: 'module' object has no attribute 'scalar_summary'
tf.scalar_summary('images', images)改为：tf.summary.scalar('images', images)
tf.image_summary('images', images)改为：tf.summary.image('images', images)
ValueError: Only call `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits, labels=labels)
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
logits, dense_labels, name='cross_entropy_per_example')
改为：
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels, name='cross_entropy_per_example')
TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.
if grad: 改为 if grad is not None:
ValueError: Shapes (2, 128, 1) and () are incompatible
concated = tf.concat(1, [indices, sparse_labels])改为：
concated = tf.concat([indices, sparse_labels], 1)
tensorflow1.0
主要 API 改进
BusAdjacency 枚举被协议缓冲 DeviceLocality 代替。总线索引现在从 1 而不是 0 开始，同时，使用 bus_id==0，之前为 BUS_ANY。
Env::FileExists 和 FileSystem::FileExists 现在返回 tensorflow::Status 而不是一个 bool。任何此函数的调用者都可以通过向调用添加.ok（）将返回转换为 bool。
C API：TF_SessionWithGraph 类型更名为 TF_Session，其在 TensorFlow 的绑定语言中成为首选。原来的 TF_Session 已更名为 TF_DeprecatedSession。
C API： TF_Port 被更名为 TF_Output。
C API: 调用者保留提供给 TF_Run、 TF_SessionRun、TF_SetAttrTensor 等的 TF_Tensor 对象的所有权。
将 tf.image.per_image_whitening() 更名为 tf.image.per_image_standardization()。
将 Summary protobuf 构造函数移动到了 tf.summary 子模块。
不再使用 histogram_summary、audio_summary、 scalar_summary，image_summary、merge_summary 和 merge_all_summaries。
组合 batch_ *和常规版本的线性代数和 FFT 运算。常规运算现在也处理批处理。所有 batch_ * Python 接口已删除。
tf.all_variables，tf.VARIABLES 和 tf.initialize_all_variables 更名为 tf.global_variables，tf.GLOBAL_VARIABLES 和 tf.global_variable_initializers respectively。
前言：相关环境搭建
Python的库sklearn安装 & bazel安装 & cmake
一：Tersorflow CIFAR-10 训练示例报错及解决方案（1）
1．AttributeError:'module' object has noattribute 'random_crop'
##解决方案：
将distorted_image= tf.image.random_crop(reshaped_image,[height, width])改为：
distorted_image = tf.random_crop(reshaped_image,[height,width,3])
2. AttributeError:'module'object has no attribute 'SummaryWriter'
##解决方案：tf.train.SummaryWriter改为：tf.summary.FileWriter
3. AttributeError:'module'object has no attribute 'summaries'
解决方案： tf.merge_all_summaries()改为：summary_op =tf.summaries.merge_all()
4. AttributeError: 'module' object hasno attribute'histogram_summary
tf.histogram_summary(var.op.name,var)改为： tf.summaries.histogram()
5. AttributeError: 'module' object hasno attribute'scalar_summary'
tf.scalar_summary(l.op.name+ ' (raw)', l)
##解决方案：
tf.scalar_summary('images',images)改为：tf.summary.scalar('images', images)
tf.image_summary('images',images)改为：tf.summary.image('images', images)
6. ValueError: Only call`softmax_cross_entropy_with_logits` withnamed arguments (labels=...,logits=..., ...)
##解决方案：
cifar10.loss(labels, logits) 改为：cifar10.loss(logits=logits,labels=labels)
cross_entropy=tf.nn.softmax_cross_entropy_with_logits(
logits,dense_labels,name='cross_entropy_per_example')
改为：
cross_entropy =tf.nn.softmax_cross_entropy_with_logits(
logits=logits, labels=dense_labels,name='cross_entropy_per_example')
7. TypeError: Using a `tf.Tensor` as a Python `bool`isnot allowed. Use `if t is not None:` instead of `if t:` to test if a tensorisdefined, and use TensorFlow ops such as tf.cond to execute subgraphsconditionedon the value of a tensor.
##解决方案：
if grad: 改为 if grad is not None:
8. ValueError: Shapes (2, 128, 1) and () are incompatible
###解决方案：
concated = tf.concat(1, [indices, sparse_labels])改为：
concated= tf.concat([indices, sparse_labels], 1)
9. 报错：（这个暂时没有遇到）
File"/home/lily/work/Tensorflow/CIRFAR-10/tensorflow.cifar10-master/cifar10_input.py",line83, in read_cifar10
result.key, value=reader.read(filename_queue)
File"/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/io_ops.py",line326, in read
queue_ref = queue.queue_ref
AttributeError: 'str' object hasno attribute 'queue_ref'
###解决方案：
由于训练样本的路径需要修改，给cifar10_input.py中data_dir赋值为本地数据所在的文件夹
以上参考自 http://blog.csdn.net/xiao_lxl/article/details/70622209return tf.image.per_image_whitening(distorted_image)
AttributeError: 'module' object has no attribute'per_image_whitening'
2，tensorflow:AttributeError: 'module' object has noattribute 'mul'
3，bin/im2txt/evaluate.runfiles/im2txt/im2txt/evaluate.py",line 174, in run summary_op = tf.merge_all_summaries() AttributeError: 'module'object has no attribute 'merge_all_summaries'
What can I do for this?
三：结束语
公共学习，共同攻克cnn，如有不妥之处欢迎留言。
目录：
1，机器学习 & MR
Hadoop进阶（hadoop streaming c++实现 & MapReduce参数调优）
hadoop streaming （shell执行 & combiner & 数据分割）
hadoop streaming python 处理 lzo 文件遇到的问题
2，tensorflow 安转与使用
Tersorflow深度学习入门—— CIFAR-10 训练示例报错及解决方案
Python的库sklearn安装 & bazel安装 & cmake
3，工具安装
urlencode & quote & unquote (url 中带中文参数)