mvn install -Pdev -Djavacpp.platform.extension=-gpu -e --> FAILURE! - in org.tensorflow.framework.optimizers.AdaGradDATest

Many thanks for TF-Java! mvn install -Pdev -Djavacpp.platform.extension=-gpu -e on the master branch appears to fail a test, so I thought I'd share it, in case anyone else encounters this:

# mvn install -Pdev -Djavacpp.platform.extension=-gpu -e
...
Downloading from ossrh-snapshots: https://oss.sonatype.org/content/repositories/snapshots/org/tensorflow/tensorflow-core-api/0.3.0-SNAPSHOT/tensorflow-core-api-0.3.0-20201008.134402-33-linux-x86_64-gpu.jar
...

tensorflow framework build error
[INFO] --- maven-surefire-plugin:2.22.2:test (default-test) @ tensorflow-framework ---
[INFO] Surefire report directory: /tmp/docker-share/tensorflow-java/tensorflow-framework/target/surefire-reports
[INFO] 
[INFO] -------------------------------------------------------
[INFO]  T E S T S
[INFO] -------------------------------------------------------
[INFO] Running org.tensorflow.framework.optimizers.AdaDeltaTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.573 s - in org.tensorflow.framework.optimizers.AdaDeltaTest
[INFO] Running org.tensorflow.framework.optimizers.NadamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.113 s - in org.tensorflow.framework.optimizers.NadamTest
[INFO] Running org.tensorflow.framework.optimizers.AdamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.134 s - in org.tensorflow.framework.optimizers.AdamTest
[INFO] Running org.tensorflow.framework.optimizers.AdaGradTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.083 s - in org.tensorflow.framework.optimizers.AdaGradTest
[INFO] Running org.tensorflow.framework.optimizers.RMSPropTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.367 s - in org.tensorflow.framework.optimizers.RMSPropTest
[INFO] Running org.tensorflow.framework.optimizers.AdamaxTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.118 s - in org.tensorflow.framework.optimizers.AdamaxTest
[INFO] Running org.tensorflow.framework.optimizers.FtrlTest
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.273 s - in org.tensorflow.framework.optimizers.FtrlTest
[INFO] Running org.tensorflow.framework.optimizers.MomentumTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.206 s - in org.tensorflow.framework.optimizers.MomentumTest
[INFO] Running org.tensorflow.framework.optimizers.OptimizersTest
[INFO] Tests run: 10, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.054 s - in org.tensorflow.framework.optimizers.OptimizersTest
[INFO] Running org.tensorflow.framework.optimizers.GradientDescentTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.14 s - in org.tensorflow.framework.optimizers.GradientDescentTest
[INFO] Running org.tensorflow.framework.optimizers.AdaGradDATest
[ERROR] Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 2.055 s <<< FAILURE! - in org.tensorflow.framework.optimizers.AdaGradDATest
[ERROR] testBasic  Time elapsed: 2.044 s  <<< ERROR!
org.tensorflow.exceptions.TFInvalidArgumentException: 
Cannot assign a device for operation adagrad-da_1: Could not satisfy explicit device specification '' because the node {{colocation_node adagrad-da_1}} was colocated with a group of nodes that required incompatible device '/job:localhost/replica:0/task:0/device:GPU:0'. All available devices [/job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:GPU:0, /job:localhost/replica:0/task:0/device:GPU:1, /job:localhost/replica:0/task:0/device:GPU:2, /job:localhost/replica:0/task:0/device:GPU:3]. 
Colocation Debug Info:
Colocation group had the following types and supported devices: 
Root Member(assigned_device_name_index_=1 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
ApplyAdagradDA: CPU 
VariableV2: GPU CPU 
Assign: GPU CPU 
Colocation members, user-requested devices, and framework assigned devices, if any:
  var0 (VariableV2)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  adagrad-da_1 (Assign) 
  var0-gradient_accumulator (VariableV2) 
  adagrad-da_10 (Assign) 
  var0-gradient_squared_accumulator (VariableV2) 
  adagrad-da_15 (Assign) 
  adagrad-da_36 (ApplyAdagradDA) 

         [[{{node adagrad-da_1}}]]
        at org.tensorflow.framework.optimizers.AdaGradDATest.testBasic(AdaGradDATest.java:90)

[INFO] Running org.tensorflow.framework.data.SkipDatasetTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.029 s - in org.tensorflow.framework.data.SkipDatasetTest
[INFO] Running org.tensorflow.framework.data.BatchDatasetTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.021 s - in org.tensorflow.framework.data.BatchDatasetTest
...
[INFO] Running org.tensorflow.framework.initializers.OrthogonalTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.333 s - in org.tensorflow.framework.initializers.OrthogonalTest
[INFO] Running org.tensorflow.framework.initializers.HeTest
[INFO] Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.451 s - in org.tensorflow.framework.initializers.HeTest
[INFO] 
[INFO] Results:
[INFO] 
[ERROR] Errors: 
[ERROR]   AdaGradDATest.testBasic:90 ? TFInvalidArgument Cannot assign a device for oper...
[INFO] 
[ERROR] Tests run: 112, Failures: 0, Errors: 1, Skipped: 0
[INFO] 
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for TensorFlow Java Parent 0.3.0-SNAPSHOT:
[INFO] 
[INFO] TensorFlow Java Parent ............................. SUCCESS [  3.164 s]
[INFO] TensorFlow NdArray Library ......................... SUCCESS [ 30.072 s]
[INFO] TensorFlow Core Parent ............................. SUCCESS [  0.006 s]
[INFO] TensorFlow Core Annotation Processor ............... SUCCESS [  0.190 s]
[INFO] TensorFlow Core API Library ........................ SUCCESS [ 34.833 s]
[INFO] TensorFlow Core API Library Platform GPU ........... SUCCESS [  0.021 s]
[INFO] TensorFlow Framework Library ....................... FAILURE [01:29 min]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time:  02:37 min
[INFO] Finished at: 2020-10-14T01:44:35Z
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-surefire-plugin:2.22.2:test (default-test) on project tensorflow-framework: There are test failures.
[ERROR] 
[ERROR] Please refer to /tmp/docker-share/tensorflow-java/tensorflow-framework/target/surefire-reports for the individual test results.
[ERROR] Please refer to dump files (if any exist) [date].dump, [date]-jvmRun[N].dump and [date].dumpstream.
[ERROR] -> [Help 1]
org.apache.maven.lifecycle.LifecycleExecutionException: Failed to execute goal org.apache.maven.plugins:maven-surefire-plugin:2.22.2:test (default-test) on project tensorflow-framework: There are test failures.

Please refer to /tmp/docker-share/tensorflow-java/tensorflow-framework/target/surefire-reports for the individual test results.
Please refer to dump files (if any exist) [date].dump, [date]-jvmRun[N].dump and [date].dumpstream.
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute (MojoExecutor.java:215)
    at org.apache.maven.lifecycle.internal.MojoExecutor.execute (MojoExecutor.java:156)
...

This new quad-GPU machine presents new challenges, compared to our previous small test systems in #100 etc. Really appreciate the fast -Pdev option for building from artifacts, thanks!

Bắt đầu bằng cách tái hiện lệnh được báo cáo, mvn install -Pdev -Djavacpp.platform.extension=-gpu -e, và kiểm tra org.tensorflow.framework.optimizers.AdaGradDATest.testBasic ở dòng 90. Xem lại các báo cáo Surefire trong tensorflow-framework/target/surefire-reports và lỗi phân bổ thiết bị; được xem là hoàn tất khi bài kiểm thử không còn thất bại trên thiết lập multi-GPU được báo cáo.