spark nlu load error #82
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I get the same error on Windows 10 despite following instructions step by step. |
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Am trying to explore NLU models first and then the NLU Healthcare models.
nlu.load('emotion') step is failing. Attached the logs.
OS – Linux RHEL
Pyspark – version 3.0.1
Command used for install - python3 -m pip install nlu pyspark==3.0.1 --trusted-host pypi.org --trusted-host files.pythonhosted.org
I have created a python venv and install the NLU per above command.
I also tried reinstalling with below command:
python3 -m pip install --upgrade nlu streamlit pyspark==3.0.2
Code below:
import nlu
pp=nlu.load('emotion')
classifierdl_use_emotion download started this may take some time.
Approximate size to download 21.3 MB
[ / ]
An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadModel.
: java.lang.NoClassDefFoundError: org/tensorflow/Tensor
at com.johnsnowlabs.ml.tensorflow.TensorflowWrapper$.read(TensorflowWrapper.scala:397)
at com.johnsnowlabs.ml.tensorflow.ReadTensorflowModel.readTensorflowModel(TensorflowSerializeModel.scala:145)
at com.johnsnowlabs.ml.tensorflow.ReadTensorflowModel.readTensorflowModel$(TensorflowSerializeModel.scala:120)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ClassifierDLModel$.readTensorflowModel(ClassifierDLModel.scala:291)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.readTensorflow(ClassifierDLModel.scala:278)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.readTensorflow$(ClassifierDLModel.scala:276)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ClassifierDLModel$.readTensorflow(ClassifierDLModel.scala:291)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.$anonfun$$init$$1(ClassifierDLModel.scala:285)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.$anonfun$$init$$1$adapted(ClassifierDLModel.scala:285)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$onRead$1(ParamsAndFeaturesReadable.scala:47)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$onRead$1$adapted(ParamsAndFeaturesReadable.scala:46)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.onRead(ParamsAndFeaturesReadable.scala:46)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$read$1(ParamsAndFeaturesReadable.scala:57)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$read$1$adapted(ParamsAndFeaturesReadable.scala:57)
at com.johnsnowlabs.nlp.FeaturesReader.load(ParamsAndFeaturesReadable.scala:35)
at com.johnsnowlabs.nlp.FeaturesReader.load(ParamsAndFeaturesReadable.scala:24)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:333)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:327)
at com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader$.downloadModel(ResourceDownloader.scala:456)
at com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadModel(ResourceDownloader.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.tensorflow.Tensor
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 34 more
[OK!]
EXCEPTION: Could not resolve singular Component for type=emotion and nlp_ref=classifierdl_use_emotion and nlu_ref=emotion and lang =en
Traceback (most recent call last):
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/pipe/component_resolution.py", line 852, in construct_component_from_identifier
is_licensed=is_licensed)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/components/classifier.py", line 69, in init
else : self.model = ClassifierDl.get_pretrained_model(nlp_ref, language)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/components/classifiers/classifier_dl/classifier_dl.py", line 11, in get_pretrained_model
return ClassifierDLModel.pretrained(name,language,bucket)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/annotator.py", line 8063, in pretrained
return ResourceDownloader.downloadModel(ClassifierDLModel, name, lang, remote_loc)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/pretrained.py", line 62, in downloadModel
raise e
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/pretrained.py", line 59, in downloadModel
j_obj = _internal._DownloadModel(reader.name, name, language, remote_loc, j_dwn).apply()
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/internal.py", line 214, in init
name, language, remote_loc)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/internal.py", line 165, in init
self._java_obj = self.new_java_obj(java_obj, *args)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/sparknlp/internal.py", line 175, in new_java_obj
return self._new_java_obj(java_class, *args)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/pyspark/ml/wrapper.py", line 69, in _new_java_obj
return java_obj(*java_args)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/py4j/java_gateway.py", line 1305, in call
answer, self.gateway_client, self.target_id, self.name)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/pyspark/sql/utils.py", line 128, in deco
return f(*a, **kw)
File "/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadModel.
: java.lang.NoClassDefFoundError: org/tensorflow/Tensor
at com.johnsnowlabs.ml.tensorflow.TensorflowWrapper$.read(TensorflowWrapper.scala:397)
at com.johnsnowlabs.ml.tensorflow.ReadTensorflowModel.readTensorflowModel(TensorflowSerializeModel.scala:145)
at com.johnsnowlabs.ml.tensorflow.ReadTensorflowModel.readTensorflowModel$(TensorflowSerializeModel.scala:120)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ClassifierDLModel$.readTensorflowModel(ClassifierDLModel.scala:291)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.readTensorflow(ClassifierDLModel.scala:278)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.readTensorflow$(ClassifierDLModel.scala:276)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ClassifierDLModel$.readTensorflow(ClassifierDLModel.scala:291)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.$anonfun$$init$$1(ClassifierDLModel.scala:285)
at com.johnsnowlabs.nlp.annotators.classifier.dl.ReadClassifierDLTensorflowModel.$anonfun$$init$$1$adapted(ClassifierDLModel.scala:285)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$onRead$1(ParamsAndFeaturesReadable.scala:47)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$onRead$1$adapted(ParamsAndFeaturesReadable.scala:46)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.onRead(ParamsAndFeaturesReadable.scala:46)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$read$1(ParamsAndFeaturesReadable.scala:57)
at com.johnsnowlabs.nlp.ParamsAndFeaturesReadable.$anonfun$read$1$adapted(ParamsAndFeaturesReadable.scala:57)
at com.johnsnowlabs.nlp.FeaturesReader.load(ParamsAndFeaturesReadable.scala:35)
at com.johnsnowlabs.nlp.FeaturesReader.load(ParamsAndFeaturesReadable.scala:24)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:333)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:327)
at com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader$.downloadModel(ResourceDownloader.scala:456)
at com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadModel(ResourceDownloader.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.tensorflow.Tensor
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 34 more
ValueError Traceback (most recent call last)
/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/init.py in load(request, path, verbose, gpu, streamlit_caching)
341 if nlu_ref == '': continue
--> 342 nlu_component = nlu_ref_to_component(nlu_ref, authenticated=is_authenticated)
343 # if we get a list of components, then the NLU reference is a pipeline, we do not need to check order
/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/pipe/component_resolution.py in nlu_ref_to_component(nlu_reference, detect_lang, authenticated, is_recursive_call)
322 authenticated=authenticated,
--> 323 is_recursive_call=is_recursive_call)
324 if resolved_component is None:
/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/pipe/component_resolution.py in resolve_component_from_parsed_query_data(lang, component_type, dataset, component_embeddings, nlu_ref, trainable, path, authenticated, is_recursive_call)
467 if constructed_component is None:
--> 468 raise ValueError(f'EXCEPTION : Could not create NLU component for nlp_ref={nlp_ref} and nlu_ref={nlu_ref}')
469 else:
ValueError: EXCEPTION : Could not create NLU component for nlp_ref=classifierdl_use_emotion and nlu_ref=emotion
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
in
----> 1 pp=nlu.load('emotion')
/apps/sparknlp/spark-nlu/lib64/python3.6/site-packages/nlu/init.py in load(request, path, verbose, gpu, streamlit_caching)
360 print(e[1])
361 raise Exception(
--> 362 "Something went wrong during loading and fitting the pipe. Check the other prints for more information and also verbose mode. Did you use a correct model reference?")
363
364
Exception: Something went wrong during loading and fitting the pipe. Check the other prints for more information and also verbose mode. Did you use a correct model reference?
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