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./bazel-bin/kcws/cc/seg_backend_api --model_path=kcws/models/seg_model.pbtxt --vocab_path=kcws/models/basic_vocab.txt --max_sentence_len=80
2017-09-30 17:04:54.607067: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-30 17:04:54.607172: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0930 17:04:54.607589 3377 tfmodel.cc:64] Reading file to proto: kcws/models/seg_model.pbtxt
I0930 17:04:54.610452 3377 tfmodel.cc:69] Creating session.
I0930 17:04:54.631103 3377 tfmodel.cc:77] Tensorflow graph loaded from: kcws/models/seg_model.pbtxt
2017-09-30 17:04:54.632146: I kcws/cc/tf_seg_model.cc:239] Reading from layer transitions
2017-09-30 17:04:54.632201: I kcws/cc/tf_seg_model.cc:245] got num tag:4
2017-09-30 17:04:54.641910: I kcws/cc/tf_seg_model.cc:258] Total word :5689
I0930 17:04:54.641994 3377 tfmodel.cc:64] Reading file to proto: kcws/models/pos_model.pbtxt
I0930 17:04:54.724326 3377 tfmodel.cc:69] Creating session.
I0930 17:04:54.727192 3377 tfmodel.cc:77] Tensorflow graph loaded from: kcws/models/pos_model.pbtxt
2017-09-30 17:04:55.006319: I kcws/cc/pos_tagger.cc:218] Reading from layer transitions
2017-09-30 17:04:55.006388: I kcws/cc/pos_tagger.cc:224] got num tag:74
(2017-09-30 09:04:55) [INFO ] Crow/0.1 server is running, local port 9090
tensorflow运行不动且没有反馈, tf挂起整个进程不报错又不执行
The text was updated successfully, but these errors were encountered:
./bazel-bin/kcws/cc/seg_backend_api --model_path=kcws/models/seg_model.pbtxt --vocab_path=kcws/models/basic_vocab.txt --max_sentence_len=80
2017-09-30 17:04:54.607067: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-30 17:04:54.607172: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0930 17:04:54.607589 3377 tfmodel.cc:64] Reading file to proto: kcws/models/seg_model.pbtxt
I0930 17:04:54.610452 3377 tfmodel.cc:69] Creating session.
I0930 17:04:54.631103 3377 tfmodel.cc:77] Tensorflow graph loaded from: kcws/models/seg_model.pbtxt
2017-09-30 17:04:54.632146: I kcws/cc/tf_seg_model.cc:239] Reading from layer transitions
2017-09-30 17:04:54.632201: I kcws/cc/tf_seg_model.cc:245] got num tag:4
2017-09-30 17:04:54.641910: I kcws/cc/tf_seg_model.cc:258] Total word :5689
I0930 17:04:54.641994 3377 tfmodel.cc:64] Reading file to proto: kcws/models/pos_model.pbtxt
I0930 17:04:54.724326 3377 tfmodel.cc:69] Creating session.
I0930 17:04:54.727192 3377 tfmodel.cc:77] Tensorflow graph loaded from: kcws/models/pos_model.pbtxt
2017-09-30 17:04:55.006319: I kcws/cc/pos_tagger.cc:218] Reading from layer transitions
2017-09-30 17:04:55.006388: I kcws/cc/pos_tagger.cc:224] got num tag:74
(2017-09-30 09:04:55) [INFO ] Crow/0.1 server is running, local port 9090
tensorflow运行不动且没有反馈, tf挂起整个进程不报错又不执行
The text was updated successfully, but these errors were encountered: