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Tensorflow 2.1 报错整合报错整合

文章目录文章目录Tensorflow 2.1 报错整合RuntimeError: `loss` passed to Optimizer.compute_gradients should be a function when

eager execution is enabled.RuntimeError: Attempting to capture an EagerTensor without building a function.RuntimeError:

When eager execution is enabled, `var_list` must specify a list or dict of variables to savetf.compat.v1.placeholder(tf.float32,

shape=(1024, 1024))RuntimeError: tf.placeholder() is not compatible with eager execution.AttributeError: module ‘tensorflow’

has no attribute ‘random_normal’AttributeError: module ‘tensorflow’ has no attribute

‘global_variables_initializer’AttributeError: module ‘tensorflow’ has no attribute ‘Session’AttributeError: module ‘tensorflow’

has no attribute ‘assign’AttributeError: module ‘tensorflow_core._api.v2.train’ has no attribute ‘Saver’AttributeError: module

‘tensorflow’ has no attribute ‘placeholder’AttributeError: module ‘tensorflow’ has no attribute ‘mul’AttributeError: module

‘tensorflow_core._api.v2.train’ has no attribute ‘SummaryWriter’ModuleNotFoundError: No module named

‘tensorflow.examples.tutorials’解决方案1–针对没有tutorials文件报错的解决解决办法2input_data.read_data_sets() 下载数据

集失败AttributeError: module ‘tensorflow’ has no attribute ‘log’TypeError: reduce_sum() got an unexpected keyword

argument ‘reduction_indices’AttributeError: module ‘tensorflow_core._api.v2.train’ has no attribute

‘GradientDescentOptimizer’AttributeError: module ‘tensorflow’ has no attribute ‘InteractiveSession’ValueError: Cannot

evaluate tensor using `eval()`: No default session is registered. Use `with sess.as_default()` or pass an explicit session to

`eval(session=sess)`AttributeError: module ‘tensorflow’ has no attribute ‘Print’AttributeError: module

‘tensorflow_core._api.v2.train’ has no attribute ‘AdamOptimizer’NotFoundError: Restoring from checkpoint failed. This is

most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not

altered the graph expected based on the checkpoint. Original error:NotFoundError: Key v1_1 not found in checkpoint [[node

save_1/RestoreV2 (defined at :7) ]]AttributeError: module ‘scipy.misc’ has no attribute ‘imread’Depth of input (32) is not a

multiple of input depth of filter (3) for ‘conv1_1/Conv2D’ (op: ‘Conv2D’) with input shapes: [1,3,24,32], [3,3,3,64].TypeError:

Input ‘split_dim’ of ‘Split’ Op has type float32 that does not match expected type of int32.AttributeError: module ‘tensorflow’

has no attribute ‘variable_scope’AttributeError: module ‘tensorflow_core._api.v2.nn’ has no attribute ‘rnn_cell’AttributeError:

module ‘tensorflow_core._api.v2.nn’ has no attribute ‘rnn’AttributeError: module ‘tensorflow.python.ops.rnn’ has no attribute

‘rnn’AttributeError: module ‘tensorflow’ has no attribute ‘reset_default_graph’Variable basic/rnn/basic_lstm_cell/kernel does

not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScopeVariable

rnn/basic_lstm_cell/kernel already exists, disallowedValueError: Variable basic11111/rnn/basic_lstm_cell/kernel does not

exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?方案1方案

2AttributeError: module ‘tensorflow_core._api.v2.train’ has no attribute ‘GradientDescentOptimizer’

Tensorflow 2.1 报错整合报错整合

RuntimeError: loss passed to Optimizer.compute_gradients should be a function when eager execution is enabled.

RuntimeError: Attempting to capture an EagerTensor without building a function.

RuntimeError: When eager execution is enabled, var_list must specify a list or dict of variables to save

当eager execution开启的时候，loss应该是一个Python函数。

在Tensorflow 2.0 中，eager execution 是默认开启的。

所以，需要先关闭eager execution

tf.compat.v1.disable_eager_execution()

tf.compat.v1.placeholder(tf.float32, shape=(1024, 1024))

RuntimeError: tf.placeholder() is not compatible with eager execution.

如果要将代码从tensorflow v1转换为tensorflow v2，则必须实现tf.compat.v1并且占位符存在于tf.compat.v1.placeholder;

当eager execution开启的时候，loss应该是一个Python函数。

在Tensorflow 2.0 中，eager execution 是默认开启的。

所以，需要先关闭关闭紧急执行,eager execution。

tf.compat.v1.disable_eager_execution()

AttributeError: module ‘tensorflow’ has no attribute ‘random_normal’

tf.random_normal

tf.random.normal

AttributeError: module ‘tensorflow’ has no attribute ‘global_variables_initializer’

tf.global_variables_initializer()

tf.compat.v1.global_variables_initializer()

AttributeError: module ‘tensorflow’ has no attribute ‘Session’

tf.Session()

tf.compat.v1.Session()

AttributeError: module ‘tensorflow’ has no attribute ‘assign’

tf.assign()

tf.compat.v1.assign()

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