hanfengatonline

xgboost4j_2.12:1.7.6 's (ml/dmlc/xgboost4j/java/XGBoostJNI.XGBoosterPredict) much slower than 0.90 in some model

6

When the concurrency exceeds 100, the function ml/dmlc/xgboost4j/java/XGBoostJNI.XGBoosterPredict occupies more than 49% of the CPU computation time. this model featureNum = 11, and the model file is attached. which is...

use "session.runner.run " to predict with tensors，after many times, the memory grow higher and higher then oom

15

Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template **System information**...

java tensorflow and maven version is org.tensorflow:libtensorflow:1.15.0 after session.runner.run() for many times, the memory grow higher and higher then oom

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 my test code with language scala ,this is one predict, we will predict 100 QPS for a docker val config = ConfigProto.newBuilder .putDeviceCount("CPU", Runtime.getRuntime.availableProcessors) .setInterOpParallelismThreads(8) .setIntraOpParallelismThreads(8) .setOperationTimeoutInMs(3000) .build val...

In spark.XGBoost.trainDistributed, the parameter n_thread, does not seem to take effect most of the time and still only utilizes a single thread

15

hello，i got a problem when i run xgboost distribute train in yarn. my parameter : set executor-memory = "32G" set executor-cores = "8" set spark.task.cpus = 8 set spark.driver.maxResultSize="24G" xgboost...