我正在学习机器学习。与此同时，我使用TensorFlow。
的Python ：3.5.2
系统：Windows 10
TensorFlow ：1.0.1，由pip安装
<小时/> 但是当我运行以下代码时遇到一些问题。代码为TensorFlow Basic usage。
import tensorflow as tf
import numpy as np
features = [tf.contrib.layers.real_valued_column("x", dimension=1)]
estimator = tf.contrib.learn.LinearRegressor(feature_columns=features)
x = np.array([1., 2., 3., 4.])
y = np.array([0., -1., -2., -3.])
input_fn = tf.contrib.learn.io.numpy_input_fn({"x":x}, y, batch_size=4,
num_epochs=1000)
estimator.fit(input_fn=input_fn, steps=1000)
print(estimator.evaluate(input_fn=input_fn))
<小时/> 结果如下：
WARNING:tensorflow:Using temporary folder as model directory: C:\Users\赵子龙\AppData\Local\Temp\tmp_dq8vxf6
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
WARNING:tensorflow:Rank of input Tensor (1) should be the same as output_rank (2) for column. Will attempt to expand dims. It is highly recommended that you resize your input, as this behavior may change.
WARNING:tensorflow:From C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
Traceback (most recent call last):
File "C:\Users\赵子龙\Desktop\Python\ML\ML\LinerRegressor.py", line 10, in <module>
estimator.fit(input_fn=input_fn, steps=1000)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\util\deprecation.py", line 280, in new_func
return func(*args, **kwargs)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 426, in fit
loss = self._train_model(input_fn=input_fn, hooks=hooks)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 981, in _train_model
config=self.config.tf_config) as mon_sess:
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\monitored_session.py", line 315, in MonitoredTrainingSession
return MonitoredSession(session_creator=session_creator, hooks=all_hooks)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\monitored_session.py", line 601, in __init__
session_creator, hooks, should_recover=True)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\monitored_session.py", line 428, in __init__
h.begin()
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\basic_session_run_hooks.py", line 324, in begin
self._summary_writer = SummaryWriterCache.get(self._checkpoint_dir)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\summary\writer\writer_cache.py", line 58, in get
logdir, graph=ops.get_default_graph())
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\summary\writer\writer.py", line 289, in __init__
event_writer = EventFileWriter(logdir, max_queue, flush_secs)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\summary\writer\event_file_writer.py", line 63, in __init__
gfile.MakeDirs(self._logdir)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 301, in recursive_create_dir
pywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(dirname), status)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in __exit__
next(self.gen)
File "C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 467, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Failed to create a directory: C:\Users/赵子龙
<小时/> 现在我可以删除第一个警告
WARNING:tensorflow:Using temporary folder as model directory: C:\Users\赵子龙\AppData\Local\Temp\tmp_dq8vxf6
通过修改代码
estimator = tf.contrib.learn.LinearRegressor(feature_columns=features)
到
estimator = tf.contrib.learn.LinearRegressor(feature_columns=features,model_dir='/tmp')。
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
WARNING:tensorflow:Rank of input Tensor (1) should be the same as output_rank (2) for column. Will attempt to expand dims. It is highly recommended that you resize your input, as this behavior may change.
WARNING:tensorflow:From C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
WARNING:tensorflow:Rank of input Tensor (1) should be the same as output_rank (2) for column. Will attempt to expand dims. It is highly recommended that you resize your input, as this behavior may change.
WARNING:tensorflow:From C:\Users\赵子龙\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
{'global_step': 1000, 'loss': 5.6782592e-09}
但我收到了另一个错误：结果 {＆＃39; global_step＆＃39;：1000，＆＃39;损失＆＃39;：5.6782592e-09} 与官方回答 {＆＃39; global_step＆＃39;：1000，＆＃39;损失＆＃39;：1.9650059e-11} 。
另一个问题：
model_dir='/tmp'更改为model_dir='/Users/tmp'时，我会得到同样的结果
错误，因为我没有添加参数。
model_dir参数，为什么程序会引发异常？C:\Users 我希望有人可以帮助我:)。
答案 0 :(得分：0)
- 如果我不添加model_dir参数，为什么程序会引发异常？
这不是一个例外，它是一个警告。通常我会在工作目录中创建一个子文件夹来保存输出（For TensorBoard）。
- 为什么我得错了结果？
与官方（＆＃39;亏损＆＃39;：1.9650059e-11）的结果相比，您的答案（＆＃39;损失＆＃39;：5.6782592e-09）相对接近。
不同的结果并不意味着错误的结果。在机器学习中我们尽量减少成本函数，而5.6782592e-09是一个相对较好的结果。此外，如果您尝试多次运行相同的代码，您可以看到它显示不同的结果。
- 为什么程序无法在C：\ Users
中创建目录
你可能有一个 PermissionDeniedError ，就像在1中解释的那样。我建议改为使用相对路径：model_dir='./output'