python - Why the tensorflow script doesn't work? -

i'm learning tensorflow , got strange error. when type code in text editor , run .py file, doesn't work, if type line line in python interactive command line, works , gives expected result. code official tutorial:

import tensorflow tf import numpy 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)  estimator.evaluate(input_fn=input_fn) 

using python tf_contrib_learn_basic_usage.py, results:

i c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfu lly opened cuda library cublas64_80.dll locally c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfu lly opened cuda library cudnn64_5.dll locally c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfu lly opened cuda library cufft64_80.dll locally c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfu lly opened cuda library nvcuda.dll locally c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfu lly opened cuda library curand64_80.dll locally warning:tensorflow:using temporary folder model directory: c:\users\ljxfo\appdata\local\temp\tmpvx8ucski e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "bestsplits" device_type: "cpu"') unknown op: bestsplits e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "countextremelyrandomstats" device_type: "cpu"') unknown op: countextremelyrandomstats e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "finishednodes" device_type: "cpu"') unknown op: finishednodes e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "growtree" device_type: "cpu"') unknown op: growtree e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "reinterpretstringtofloat" device_type: "cpu"') unknown op: reinterpretstringtofloat e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "sampleinputs" device_type: "cpu"') unknown op: sampleinputs e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "scatteraddndim" device_type: "cpu"') unknown op: scatteraddndim e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "topninsert" device_type: "cpu"') unknown op: topninsert e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "topnremove" device_type: "cpu"') unknown op: topnremove e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "treepredictions" device_type: "cpu"') unknown op: treepredictions e c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] opkernel (' op: "updatefertileslots" device_type: "cpu"') unknown op: updatefertileslots warning:tensorflow:rank of input tensor (1) should same output_rank (2) column. attempt expand dim s. highly recommended resize input, behavior may change. warning:tensorflow:from c:\users\ljxfo\appdata\local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\contrib\le arn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) deprecated ,  removed after 2016-11-30. instructions updating: please switch tf.summary.scalar. note tf.summary.scalar uses node name instead of tag. means t ensorflow automatically de-duplicate summary names based on scope created in. also, passing tensor o r list of tags scalar summary op no longer supported. c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:885] f ound device 0 properties: name: geforce gt 635m major: 2 minor: 1 memoryclockrate (ghz) 0.95 pcibusid 0000:01:00.0 total memory: 2.00gib free memory: 1.65gib c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:906] d ma: 0 c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:916] 0 :   y c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:948] gnoring visible gpu device (device: 0, name: geforce gt 635m, pci bus id: 0000:01:00.0) cuda compute capability 2.1 . minimum required cuda capability 3.0. warning:tensorflow:rank of input tensor (1) should same output_rank (2) column. attempt expand dim s. highly recommended resize input, behavior may change. warning:tensorflow:from c:\users\ljxfo\appdata\local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\contrib\le arn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) deprecated ,  removed after 2016-11-30. instructions updating: please switch tf.summary.scalar. note tf.summary.scalar uses node name instead of tag. means t ensorflow automatically de-duplicate summary names based on scope created in. also, passing tensor o r list of tags scalar summary op no longer supported. c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:948] gnoring visible gpu device (device: 0, name: geforce gt 635m, pci bus id: 0000:01:00.0) cuda compute capability 2.1 . minimum required cuda capability 3.0. warning:tensorflow:skipping summary global_step, must float or np.float32. 

i understand laptop gtx635m not supported cuda, code works when typed line line. what's wrong this?