Debug in .cc file. org.tensorflow.exceptions.TFInvalidArgumentException: indices = 1 is not in [0, 1)
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Beschreibung
My tfserver project throw error when it perform an inference.
Something wrong when program get feature raw data and make feature to embedding tensor.
How can I debug into .cc file.

org.tensorflow.exceptions.TFInvalidArgumentException: indices = 1 is not in [0, 1)
[[{{node dense_features_5/cate_ord_start_hash_embedding_1/cate_ord_start_hash_embedding_weights/GatherV2}}]]
featue "cate_ord_start_hash" is created by
'cate_ord_start_hash': tf.feature_column.embedding_column( tf.feature_column.categorical_column_with_vocabulary_file('cate_ord_start_hash', "cate_ord_start_hash_dict.txt", dtype=tf.string, default_value=0), dimension=8)
full error stack is
16:06:19.623 [main] INFO com.sankuai.qcs.model.common.core.loader.AbstractModelLoader - Unzip model cancel(v1, 1.0) tar file succeed, get [/Users/yu/proj/qcs.dispatch.algo/model-cancelBlameCancelRate/target/test-classes/._pbModel]
Warning: Could not load Loader: java.lang.UnsatisfiedLinkError: no jnijavacpp in java.library.path
Warning: Could not load Pointer: java.lang.UnsatisfiedLinkError: no jnijavacpp in java.library.path
Warning: Could not load BytePointer: java.lang.UnsatisfiedLinkError: no jnijavacpp in java.library.path
Warning: Could not load PointerPointer: java.lang.UnsatisfiedLinkError: no jnijavacpp in java.library.path
2021-01-14 16:06:21.898193: I external/org_tensorflow/tensorflow/cc/saved_model/reader.cc:31] Reading SavedModel from: /Users/yu/proj/qcs.dispatch.algo/model-cancelBlameCancelRate/target/test-classes//pbModel
2021-01-14 16:06:21.913997: I external/org_tensorflow/tensorflow/cc/saved_model/reader.cc:54] Reading meta graph with tags { serve }
2021-01-14 16:06:21.914019: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:250] Reading SavedModel debug info (if present) from: /Users/yu/proj/qcs.dispatch.algo/model-cancelBlameCancelRate/target/test-classes//pbModel
2021-01-14 16:06:21.914108: I external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-01-14 16:06:22.037598: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:215] Restoring SavedModel bundle.
2021-01-14 16:06:22.168687: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:199] Running initialization op on SavedModel bundle at path: /Users/yu/proj/qcs.dispatch.algo/model-cancelBlameCancelRate/target/test-classes//pbModel
2021-01-14 16:06:22.261870: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:319] SavedModel load for tags { serve }; Status: success: OK. Took 363683 microseconds.
16:06:22.872 [main] DEBUG com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameCancelRateModel - #GroupRespRateModel.loadConfig# 配置文件解析成功. featureConfig:{cate_ord_start_hash=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@11c9af63, cate_ord_hour=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@757acd7b, cate_ord_end_hash=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@36b4fe2a, str_im_message=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@574b560f, num_hold_time=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@ba54932, order_id_view=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@28975c28, num_trail_total_moving_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@3943a2be, num_navi_interval_duration=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@343570b7, num_trail_interval_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@157853da, cate_ord_hexhash16=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@71c3b41, num_user_total_moving_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@236e3f4e, cate_feature_call_type=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@3cc1435c, num_navi_offline_cnt=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@6bf0219d, num_navi_max_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@dd0c991, num_user_max_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@5f16132a, num_trail_max_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@69fb6037, num_navi_interval_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@36d585c, num_user_avg_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@87a85e1, num_trail_avg_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@671a5887, num_user_interval_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@5552768b, num_navi_avg_duration=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@3c947bc5, num_ord_cancel_time=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@609db43b, cate_feature_call_result=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@55f616cf, num_navi_max_duration=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@1356d4d4, num_navi_avg_distance=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@c03cf28, cate_ord_status=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@1329eff, num_user_avg_speed=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@6497b078, cate_ord_driver_type=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@41c2284a, num_trail_driver_speed=com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameFeatureDesc@53aad5d5}
16:06:22.873 [main] INFO com.sankuai.qcs.model.common.core.loader.AbstractModelLoader - Build model cancel(v1, 1.0) finished
16:06:22.902 [main] INFO com.sankuai.qcs.model.common.core.loader.AbstractModelLoader - Model cancel(v1, 1.0) get attributeVectorDef: [AttributeDef[name=num_ord_cancel_time,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=cate_ord_hour,attributeType=STRING,defaultValue=0,allowNone=false],AttributeDef[name=cate_ord_hexhash16,attributeType=STRING,defaultValue=0,allowNone=false],AttributeDef[name=cate_ord_start_hash,attributeType=STRING,defaultValue=0,allowNone=false],AttributeDef[name=cate_ord_end_hash,attributeType=STRING,defaultValue=0,allowNone=false],AttributeDef[name=cate_ord_driver_type,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=cate_ord_status,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_max_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_interval_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_avg_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_max_duration,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_interval_duration,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_avg_duration,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_navi_offline_cnt,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_trail_max_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_trail_avg_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_trail_interval_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_trail_total_moving_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_trail_driver_speed,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=cate_feature_call_type,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=cate_feature_call_result,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_hold_time,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_user_max_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_user_interval_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_user_avg_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_user_total_moving_distance,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=num_user_avg_speed,attributeType=INT,defaultValue=-1,allowNone=false],AttributeDef[name=str_im_message,attributeType=STRING,defaultValue=N,allowNone=false],AttributeDef[name=order_id_view,attributeType=STRING,defaultValue=0,allowNone=false]]
16:06:22.939 [main] INFO com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameCancelRateModelChecker - CancelBlameRateFeatures: cate_ord_hexhash16 = p0d221h0408
2021-01-14 16:06:24.111474: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111486: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111530: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111539: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111548: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111539: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111576: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111600: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111606: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111625: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111628: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111631: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111641: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111651: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111646: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111668: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111674: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111678: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111688: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
2021-01-14 16:06:24.111767: W external/org_tensorflow/tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at strided_slice_op.cc:108 : Invalid argument: slice index 1 of dimension 0 out of bounds.
16:06:24.112 [main] ERROR com.sankuai.qcs.model.common.core.model.inner.AbstractTFDispatchModel - Compute tf model failed, modelName = cancel:
org.tensorflow.exceptions.TFInvalidArgumentException: indices = 1 is not in [0, 1)
[[{{node dense_features_5/cate_ord_start_hash_embedding_1/cate_ord_start_hash_embedding_weights/GatherV2}}]]
at org.tensorflow.internal.c_api.AbstractTF_Status.throwExceptionIfNotOK(AbstractTF_Status.java:87)
at org.tensorflow.Session.run(Session.java:666)
at org.tensorflow.Session.access$100(Session.java:72)
at org.tensorflow.Session$Runner.runHelper(Session.java:381)
at org.tensorflow.Session$Runner.run(Session.java:329)
at com.sankuai.qcs.model.common.core.model.inner.AbstractTFDispatchModel.compute(AbstractTFDispatchModel.java:47)
at com.sankuai.qcs.model.common.core.model.outer.AbstractTFModel.compute(AbstractTFModel.java:27)
at com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameCancelRateModelChecker.check(cancelBlameCancelRateModelChecker.java:49)
at com.sankuai.qcs.model.common.core.loader.AbstractModelLoader.loadFromFile(AbstractModelLoader.java:58)
at com.sankuai.qcs.model.impl.cancelBlameCancelRate.cancelBlameCancelRateModelTest.test(cancelBlameCancelRateModelTest.java:41)
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 org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
at com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
at com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:220)
at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:53)
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne damit, die gemeldete Inferenz zu reproduzieren und den in der Ausnahme genannten GatherV2-Knoten nachzuverfolgen. Lies external/org_tensorflow/tensorflow/core/framework/op_kernel.cc im Bereich um Zeile 1767 zusammen mit dem protokollierten SavedModel-Ladepfad; als abgeschlossen würde dies gelten, wenn eine Projektänderung oder ein Diagnosepfad für den Tensorfehler aufgrund eines Zugriffs außerhalb der Grenzen identifiziert wurde.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
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- cpp, java
- Bereich
- backend
- Issue-Typ
- Bug
- Schwierigkeit
- 5/5
- Geschätzter Aufwand
- Über eine Woche
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- 20/100