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jpmml-tensorflow's Introduction

JPMML-TensorFlow

Java library and command-line application for converting TensorFlow models to PMML.

Features

Prerequisites

The TensorFlow side of operations

  • Protocol Buffers 3.2.0 or newer
  • TensorFlow 1.1.0 or newer

The Java side of operations

  • Java 1.8 or newer

Installation

Enter the project root directory and build using Apache Maven; use the protoc.exe system property to specify the location of the Protocol Buffers compiler:

mvn -Dprotoc.exe=/usr/local/bin/protoc clean install

The build produces an executable uber-JAR file target/converter-executable-1.0-SNAPSHOT.jar.

Usage

A typical workflow can be summarized as follows:

  1. Use TensorFlow to train an estimator.
  2. Export the estimator in SavedModel data format to a directory in a local filesystem.
  3. Use the JPMML-TensorFlow command-line converter application to turn the SavedModel directory to a PMML file.

The TensorFlow side of operations

Please see the test script file main.py for sample workflows.

The Java side of operations

Converting the estimator SavedModel directory estimator/ to a PMML file estimator.pmml:

java -jar target/converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input estimator/ --pmml-output estimator.pmml

Getting help:

java -jar target/converter-executable-1.0-SNAPSHOT.jar --help

License

JPMML-TensorFlow is licensed under the GNU Affero General Public License (AGPL) version 3.0. Other licenses are available on request.

Additional information

Please contact [email protected]

jpmml-tensorflow's People

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jpmml-tensorflow's Issues

IllegalArgumentException in org.jpmml.tensorflow.EstimatorFactory

Hi @vruusmann ,

I have a tensorflow model which needs to be converted to a pmml. Once I tried that, an exception has thrown. The log is shown below.

INFO: Parsing SavedModel..
2018-07-13 12:28:56.752157: I tensorflow/cc/saved_model/loader.cc:242] Loading SavedModel with tags: { serve }; from: /Users/usewwandi/Desktop/model-9000
2018-07-13 12:28:56.760847: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.2 AVX AVX2 FMA
2018-07-13 12:28:56.776248: I tensorflow/cc/saved_model/loader.cc:161] Restoring SavedModel bundle.
2018-07-13 12:29:01.599559: I tensorflow/cc/saved_model/loader.cc:196] Running LegacyInitOp on SavedModel bundle.
2018-07-13 12:29:01.610202: I tensorflow/cc/saved_model/loader.cc:291] SavedModel load for tags { serve }; Status: success. Took 4858059 microseconds.
Jul 13, 2018 12:29:01 PM org.jpmml.tensorflow.Main run
INFO: Parsed SavedModel in 5639 ms.
Jul 13, 2018 12:29:02 PM org.jpmml.tensorflow.Main run
INFO: Converting..
Jul 13, 2018 12:29:02 PM org.jpmml.tensorflow.Main run
SEVERE: Failed to convert
java.lang.IllegalArgumentException
at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
at org.jpmml.tensorflow.Main.run(Main.java:117)
at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" java.lang.IllegalArgumentException
at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
at org.jpmml.tensorflow.Main.run(Main.java:117)
at org.jpmml.tensorflow.Main.main(Main.java:90)

My model has a variables directory and saved_model.pb file. Variables directory has two "variables.data-00000-of-00002" files and "variables.index" file. Is the model incorrect here?

Thank you.

pmml export from tf.estimator models

I built a model with tf.estimator API (dnn and linear). I can load it up on python serving by doing the following steps:

import tensorflow as tf
from tensorflow.python.saved_model.tag_constants import tag_constants
with tf.Session(graph=tf.Graph()) as sess:
  tf.saved_model.loader.load(sess, [tag_constants.TRAINING], export_dir)

with jpmml-tensorflow I am getting a factory issue:

cmle-env) debasish:jpmml-tensorflow debasish.das$ java -jar target/converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input dnn/ --pmml-output dnn.pmml
Mar 22, 2018 5:30:25 PM org.jpmml.tensorflow.Main run
INFO: Parsing SavedModel..
2018-03-22 17:30:25.707794: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.2 AVX AVX2 FMA
2018-03-22 17:30:25.708049: I tensorflow/cc/saved_model/loader.cc:242] Loading SavedModel with tags: { serve }; from: /Users/debasish.das/creditkarma/jpmml-tensorflow/dnn
2018-03-22 17:30:25.802902: I tensorflow/cc/saved_model/loader.cc:161] Restoring SavedModel bundle.
2018-03-22 17:30:25.841061: I tensorflow/cc/saved_model/loader.cc:196] Running LegacyInitOp on SavedModel bundle.
2018-03-22 17:30:25.890051: I tensorflow/cc/saved_model/loader.cc:291] SavedModel load for tags { serve }; Status: success. Took 182028 microseconds.
Mar 22, 2018 5:30:26 PM org.jpmml.tensorflow.Main run
INFO: Parsed SavedModel in 705 ms.
Mar 22, 2018 5:30:26 PM org.jpmml.tensorflow.Main run
INFO: Converting..
Mar 22, 2018 5:30:26 PM org.jpmml.tensorflow.Main run
SEVERE: Failed to convert
java.lang.IllegalArgumentException
	at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
	at org.jpmml.tensorflow.Main.run(Main.java:117)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" java.lang.IllegalArgumentException
	at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
	at org.jpmml.tensorflow.Main.run(Main.java:117)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Do I need to add a new Estimator for the tf.estimator models ?

tensorflow convert the pmml exception 

root@main:/opt# java -jar converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input model/ --pmml-output estimator.pmml
Mar 12, 2018 9:35:02 AM org.jpmml.tensorflow.Main run
INFO: Parsing SavedModel..
2018-03-12 09:35:02.866322: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-03-12 09:35:02.866705: I tensorflow/cc/saved_model/loader.cc:289] SavedModel load for tags { serve }; Status: fail. Took 24 microseconds.
Mar 12, 2018 9:35:02 AM org.jpmml.tensorflow.Main run
SEVERE: Failed to parse SavedModel
org.tensorflow.TensorFlowException: SavedModel not found in export directory: /opt/model
	at org.tensorflow.SavedModelBundle.load(Native Method)
	at org.tensorflow.SavedModelBundle.load(SavedModelBundle.java:39)
	at org.jpmml.tensorflow.Main.run(Main.java:100)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" org.tensorflow.TensorFlowException: SavedModel not found in export directory: /opt/model
	at org.tensorflow.SavedModelBundle.load(Native Method)
	at org.tensorflow.SavedModelBundle.load(SavedModelBundle.java:39)
	at org.jpmml.tensorflow.Main.run(Main.java:100)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

my os system is ubuntu 16.04

root@main:/opt/model# pwd
/opt/model
root@main:/opt/model# ls
checkpoint                             mnist_model-26001.data-00000-of-00001  mnist_model-27001.index                mnist_model-28001.meta
mnist_model-25001.data-00000-of-00001  mnist_model-26001.index                mnist_model-27001.meta                 mnist_model-29001.data-00000-of-00001
mnist_model-25001.index                mnist_model-26001.meta                 mnist_model-28001.data-00000-of-00001  mnist_model-29001.index
mnist_model-25001.meta                 mnist_model-27001.data-00000-of-00001  mnist_model-28001.index                mnist_model-29001.meta
root@main:/opt/model#

jpmml-tensorflow mvn clean package exception 

[ERROR] COMPILATION ERROR : 
[INFO] -------------------------------------------------------------
[ERROR] /opt/jpmml-tensorflow/src/main/java/org/jpmml/tensorflow/SavedModel.java:[136,50] incompatible types: java.util.List<org.tensorflow.Tensor<?>> cannot be converted to java.util.List<org.tensorflow.Tensor>
[INFO] 1 error
[INFO] -------------------------------------------------------------
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 9.203 s
[INFO] Finished at: 2018-03-01T18:00:01+08:00
[INFO] Final Memory: 21M/61M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.5.1:compile (default-compile) on project jpmml-tensorflow: Compilation failure
[ERROR] /opt/jpmml-tensorflow/src/main/java/org/jpmml/tensorflow/SavedModel.java:[136,50] incompatible types: java.util.List<org.tensorflow.Tensor<?>> cannot be converted to java.util.List<org.tensorflow.Tensor>
[ERROR] -> [Help 1]
[ERROR] 
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR] 
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException

SEVERE: Failed to convert (IllegalArgumentException)

Hi @vruusmann,

I wish to convert my contrib.learn.DNNClassifier estimator to PMML, but came across:

SEVERE: Failed to convert
java.lang.IllegalArgumentException
	at org.jpmml.tensorflow.DNNEstimator.encodeNeuralNetwork(DNNEstimator.java:77)
	at org.jpmml.tensorflow.DNNClassifier.encodeModel(DNNClassifier.java:50)
	at org.jpmml.tensorflow.DNNClassifier.encodeModel(DNNClassifier.java:40)
	at org.jpmml.tensorflow.Estimator.encodePMML(Estimator.java:43)
	at org.jpmml.tensorflow.Main.run(Main.java:120)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" java.lang.IllegalArgumentException
	at org.jpmml.tensorflow.DNNEstimator.encodeNeuralNetwork(DNNEstimator.java:77)
	at org.jpmml.tensorflow.DNNClassifier.encodeModel(DNNClassifier.java:50)
	at org.jpmml.tensorflow.DNNClassifier.encodeModel(DNNClassifier.java:40)
	at org.jpmml.tensorflow.Estimator.encodePMML(Estimator.java:43)
	at org.jpmml.tensorflow.Main.run(Main.java:120)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

I was trying to look into this, and the println of NodeDef concat looks like:

name: "dnn/input_from_feature_columns/input_from_feature_columns/concat"
op: "Identity"
input: "ParseExample/ParseExample"
attr {
  key: "T"
  value {
    type: DT_FLOAT
  }
}
attr {
  key: "_output_shapes"
  value {
    list {
      shape {
        dim {
          size: -1
        }
        dim {
          size: 119
        }
      }
    }
  }

seems like a structure conflict? And I was using TF v1.5.

@vruusmann Is this normal behavior? Or any clue how I can fix this?

Thanks very much for sharing us this tool !!! 👍 💯

tensorflow 1.6 + protoc 3.5.1 compilation

I am getting compilation errors:

[INFO] -------------------------------------------------------------
[ERROR] COMPILATION ERROR :
[INFO] -------------------------------------------------------------
[ERROR] /Users/debasish.das/creditkarma/jpmml-tensorflow/src/main/java/org/jpmml/tensorflow/SavedModel.java:[136,50] incompatible types: java.util.List<org.tensorflow.Tensor<?>> cannot be converted to java.util.List<org.tensorflow.Tensor>
[ERROR] /Users/debasish.das/creditkarma/jpmml-tensorflow/target/generated-sources/protobuf/java/org/tensorflow/framework/MetaGraphDef.java:[63,18] cannot find symbol
symbol: method parseUnknownFieldProto3(com.google.protobuf.CodedInputStream,com.google.protobuf.UnknownFieldSet.Builder,com.google.protobuf.ExtensionRegistryLite,int)
location: class org.tensorflow.framework.MetaGraphDef

Does the library depend on specific version of tensorflow and protoc ?

tensorflow convert the pmml exception 

root@main:/opt# java -jar converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input model/ --pmml-output estimator.pmml
Mar 12, 2018 9:35:02 AM org.jpmml.tensorflow.Main run
INFO: Parsing SavedModel..
2018-03-12 09:35:02.866322: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-03-12 09:35:02.866705: I tensorflow/cc/saved_model/loader.cc:289] SavedModel load for tags { serve }; Status: fail. Took 24 microseconds.
Mar 12, 2018 9:35:02 AM org.jpmml.tensorflow.Main run
SEVERE: Failed to parse SavedModel
org.tensorflow.TensorFlowException: SavedModel not found in export directory: /opt/model
	at org.tensorflow.SavedModelBundle.load(Native Method)
	at org.tensorflow.SavedModelBundle.load(SavedModelBundle.java:39)
	at org.jpmml.tensorflow.Main.run(Main.java:100)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" org.tensorflow.TensorFlowException: SavedModel not found in export directory: /opt/model
	at org.tensorflow.SavedModelBundle.load(Native Method)
	at org.tensorflow.SavedModelBundle.load(SavedModelBundle.java:39)
	at org.jpmml.tensorflow.Main.run(Main.java:100)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

IllegalArgumentException at org.jpmml.tensorflow.EstimatorFactory.newEstimator

Dear Villu,
With-
protobuf 3.7.1
tensorflow 1.13.1
openjdk 1.8.0_212
I'm doing
$ java -jar target/converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input 1554735764/ --pmml-output estimator.pmml
to the following error:

Apr 09, 2019 1:39:36 PM org.jpmml.tensorflow.Main run
INFO: Parsing SavedModel..
2019-04-09 13:39:38.108054: I tensorflow/cc/saved_model/reader.cc:31] Reading SavedModel from: /home/cstrait_gcp2/1554735764
2019-04-09 13:39:38.144966: I tensorflow/cc/saved_model/reader.cc:54] Reading meta graph with tags { serve }
2019-04-09 13:39:38.150964: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-04-09 13:39:38.221977: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz
2019-04-09 13:39:38.222114: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x7ff2d4d0c8b0 executing computations on platform Host. Devices:
2019-04-09 13:39:38.222125: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
2019-04-09 13:39:38.243759: I tensorflow/cc/saved_model/loader.cc:182] Restoring SavedModel bundle.
2019-04-09 13:39:38.431421: I tensorflow/cc/saved_model/loader.cc:132] Running initialization op on SavedModel bundle.
2019-04-09 13:39:38.463896: I tensorflow/cc/saved_model/loader.cc:285] SavedModel load for tags { serve }; Status: success. Took 355847 microseconds.
Apr 09, 2019 1:39:38 PM org.jpmml.tensorflow.Main run
INFO: Parsed SavedModel in 1622 ms.
Apr 09, 2019 1:39:39 PM org.jpmml.tensorflow.Main run
INFO: Converting..
Apr 09, 2019 1:39:39 PM org.jpmml.tensorflow.Main run
SEVERE: Failed to convert
java.lang.IllegalArgumentException
        at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
        at org.jpmml.tensorflow.Main.run(Main.java:117)
        at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" java.lang.IllegalArgumentException
        at org.jpmml.tensorflow.EstimatorFactory.newEstimator(EstimatorFactory.java:58)
        at org.jpmml.tensorflow.Main.run(Main.java:117)
        at org.jpmml.tensorflow.Main.main(Main.java:90)

I'd truly appreciate any assistance in you can offer in debugging this, which I suspect is a versions-related issue.
Regards,
Caleb

Compile error at jpmml-tensorflow installation on methods parseUnknownFieldProto3 and setUnknownFieldsProto3

I am installing jpmml-tensorflow using ubuntu 16.04, protobuf 3.5.1, tensorflow 1.7.0, jdk 1.8.0_171 (oracle), maven 3.3.9. The following command line is used:

mvn -X -Dprotoc.exe=/usr/local/bin/protoc clean install

The installation failed with compile errors on the methods parseUnknownFieldProto3 and setUnknownFieldsProto3. It is the same error message as if we drop the -Dprotoc.exe=/usr/local/bin/protoc option. I double-check that the protoc is at the right location:

yuan@yuan-VirtualBox:$ protoc --version
libprotoc 3.5.1
yuan@yuan-VirtualBox:$ whereis protoc
protoc: /usr/local/bin/protoc

And I have tried 1) clearing the ~/.m2 directory and reinstall; 2) installing in windows 7 with protobuf win32 binary. They did not help. Any direction pointing will be appreciated.

The complete log is as follows.

install.log

And also the default pom.xml file:

pom.xml.log

Cannot compile jar

Hi,
I tried to compile on my windows and my Linux server but I have the argument mismatch issue. I use win32 version or protocol buffer 3.3.0. Can anyone help to get me the compiled file please?

Thank you.

Converter exception on saveModel generated by tensorflow1.9.0

Hi,

Looks I meet an issue during converting the saveModel which is generated by tensorflow 1.9.0 (all 1.9.0 to 1.3.0 do not work, only 1.2.0 works) to pmml file.
I take the main.py supplied in this project and run this on different tensorflow versions, but only 1.2.0 works, all higher versions cause exceptions during converting to pmml file by jpmml-tensorflow, as follows,

java -jar target/converter-executable-1.0-SNAPSHOT.jar --tf-savedmodel-input LinearRegressionAuto --pmml-output LinearRegressionAuto.pmml
Jul 24, 2018 10:56:32 AM org.jpmml.tensorflow.Main run
INFO: Parsing SavedModel..
2018-07-24 10:56:33.899625: I tensorflow/cc/saved_model/loader.cc:242] Loading SavedModel with tags: { serve }; from: /home/tensorflow/savedmodel/LinearRegressionAuto
2018-07-24 10:56:33.917491: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-07-24 10:56:33.924418: I tensorflow/cc/saved_model/loader.cc:161] Restoring SavedModel bundle.
2018-07-24 10:56:33.932744: I tensorflow/cc/saved_model/loader.cc:196] Running LegacyInitOp on SavedModel bundle.
2018-07-24 10:56:33.949825: I tensorflow/cc/saved_model/loader.cc:291] SavedModel load for tags { serve }; Status: success. Took 50275 microseconds.
Jul 24, 2018 10:56:33 AM org.jpmml.tensorflow.Main run
INFO: Parsed SavedModel in 961 ms.
Jul 24, 2018 10:56:34 AM org.jpmml.tensorflow.Main run
INFO: Converting..
Jul 24, 2018 10:56:34 AM org.jpmml.tensorflow.Main run
SEVERE: Failed to convert
java.util.NoSuchElementException
	at java.util.LinkedHashMap$LinkedHashIterator.nextNode(LinkedHashMap.java:721)
	at java.util.LinkedHashMap$LinkedKeyIterator.next(LinkedHashMap.java:742)
	at com.google.common.collect.Iterators.getOnlyElement(Iterators.java:308)
	at com.google.common.collect.Iterables.getOnlyElement(Iterables.java:294)
	at org.jpmml.tensorflow.SavedModel.getOnlyInput(SavedModel.java:176)
	at org.jpmml.tensorflow.LinearEstimator.encodeRegressionModel(LinearEstimator.java:100)
	at org.jpmml.tensorflow.LinearRegressor.encodeModel(LinearRegressor.java:43)
	at org.jpmml.tensorflow.LinearRegressor.encodeModel(LinearRegressor.java:31)
	at org.jpmml.tensorflow.Estimator.encodePMML(Estimator.java:43)
	at org.jpmml.tensorflow.Main.run(Main.java:120)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

Exception in thread "main" java.util.NoSuchElementException
	at java.util.LinkedHashMap$LinkedHashIterator.nextNode(LinkedHashMap.java:721)
	at java.util.LinkedHashMap$LinkedKeyIterator.next(LinkedHashMap.java:742)
	at com.google.common.collect.Iterators.getOnlyElement(Iterators.java:308)
	at com.google.common.collect.Iterables.getOnlyElement(Iterables.java:294)
	at org.jpmml.tensorflow.SavedModel.getOnlyInput(SavedModel.java:176)
	at org.jpmml.tensorflow.LinearEstimator.encodeRegressionModel(LinearEstimator.java:100)
	at org.jpmml.tensorflow.LinearRegressor.encodeModel(LinearRegressor.java:43)
	at org.jpmml.tensorflow.LinearRegressor.encodeModel(LinearRegressor.java:31)
	at org.jpmml.tensorflow.Estimator.encodePMML(Estimator.java:43)
	at org.jpmml.tensorflow.Main.run(Main.java:120)
	at org.jpmml.tensorflow.Main.main(Main.java:90)

I also tried tensorflow1.9.0 of python3.6, same exception happens.
Not sure what happens and what's wrong i did during compling jpmml-tensorflow binary (same steps for tensorflow1.2.0 works).

Anyone met this issue before?
Thanks for your help.

RL

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