tensorflow lite toco python APl: NameError：“未定义名称'tempfile‘”
tensorflow lite toco python APl: NameError：“未定义名称'tempfile‘”
提问于 2017-12-05 10:18:55
import tensorflow as tf
img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3))
val = img + tf.constant([1., 2., 3.]) + tf.constant([1., 4., 4.])
out = tf.identity(val, name="out")
with tf.Session() as sess:
tflite_model = tf.contrib.lite.toco_convert(sess.graph_def, [img], [out])
open("test.tflite", "wb").write(tflite_modeL)但是我得到的错误是: python3中的"NameError:名称‘临时文件’未定义“和python2中的"NameError:全局名称‘临时文件’未定义
NameError Traceback (most recent call last)
<ipython-input-21-24c36564faa4> in <module>()
5 out = tf.identity(val, name="out")
6 with tf.Session() as sess:
----> 7 tflite_model = tf.contrib.lite.toco_convert(sess.graph_def, [img], [out])
8 open("test.tflite", "wb").write(tflite_modeL)
python3.5/site-packages/tensorflow/contrib/lite/python/lite.py in toco_convert(input_data, input_tensors, output_tensors, inference_type, input_format, output_format, quantized_input_stats, drop_control_dependency)
196 data = toco_convert_protos(model.SerializeToString(),
197 toco.SerializeToString(),
--> 198 input_data.SerializeToString())
199 return data
200
python3.5/site-packages/tensorflow/contrib/lite/python/lite.py in toco_convert_protos(model_flags_str, toco_flags_str, input_data_str)
89 return _toco_convert_protos(model_flags_str, toco_flags_str, input_data_str)
90
---> 91 with tempfile.NamedTemporaryFile() as fp_toco, \
92 tempfile.NamedTemporaryFile() as fp_model, \
93 tempfile.NamedTemporaryFile() as fp_input, \
NameError: name 'tempfile' is not defined如何让它工作？
回答 1
Stack Overflow用户
发布于 2018-07-28 05:17:32
此问题已从github 1.7 (请参阅github bug)修复。
我刚刚在最新的TensorFlow 1.9版本中成功地执行了您的代码片段：
import tensorflow as tf
img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3))
val = img + tf.constant([1., 2., 3.]) + tf.constant([1., 4., 4.])
out = tf.identity(val, name="out")
with tf.Session() as sess:
tflite_model = tf.contrib.lite.toco_convert(sess.graph_def, [img], [out])
open("converteds_model.tflite", "wb").write(tflite_model)TFLite模型converteds_model.tflite将保存到文件中。
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原文链接：
https://stackoverflow.com/questions/47645056
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