docker run \
--rm \
-p 18080:8080 \
-v /home/will/temp/202106/29/images:/app/images \
-v /home/will/temp/202106/29/model:/app/model \
bolingcavalry/dl4j-model-app:0.0.3
2021-06-29 10:51:55.744 INFO 1 --- [ main] w.s.c.ServletWebServerApplicationContext : Root WebApplicationContext: initialization completed in 1748 ms
2021-06-29 10:51:55.852 INFO 1 --- [ main] c.b.p.service.impl.PredictServiceImpl : load model from [/app/model/minist-model.zip]
2021-06-29 10:51:55.950 INFO 1 --- [ main] org.nd4j.linalg.factory.Nd4jBackend : Loaded [CpuBackend] backend
2021-06-29 10:51:58.397 INFO 1 --- [ main] org.nd4j.nativeblas.NativeOpsHolder : Number of threads used for linear algebra: 1
2021-06-29 10:51:58.399 WARN 1 --- [ main] o.n.l.cpu.nativecpu.CpuNDArrayFactory : *********************************** CPU Feature Check Warning ***********************************
2021-06-29 10:51:58.399 WARN 1 --- [ main] o.n.l.cpu.nativecpu.CpuNDArrayFactory : Warning: Initializing ND4J with Generic x86 binary on a CPU with AVX/AVX2 support
2021-06-29 10:51:58.399 WARN 1 --- [ main] o.n.l.cpu.nativecpu.CpuNDArrayFactory : Using ND4J with AVX/AVX2 will improve performance. See deeplearning4j.org/cpu for more details
2021-06-29 10:51:58.399 WARN 1 --- [ main] o.n.l.cpu.nativecpu.CpuNDArrayFactory : Or set environment variable ND4J_IGNORE_AVX=true to suppress this warning
2021-06-29 10:51:58.399 WARN 1 --- [ main] o.n.l.cpu.nativecpu.CpuNDArrayFactory : *************************************************************************************************
2021-06-29 10:51:58.407 INFO 1 --- [ main] org.nd4j.nativeblas.Nd4jBlas : Number of threads used for OpenMP BLAS: 1
2021-06-29 10:51:58.411 INFO 1 --- [ main] o.n.l.a.o.e.DefaultOpExecutioner : Backend used: [CPU]; OS: [Linux]
2021-06-29 10:51:58.412 INFO 1 --- [ main] o.n.l.a.o.e.DefaultOpExecutioner : Cores: [32]; Memory: [7.0GB];
2021-06-29 10:51:58.412 INFO 1 --- [ main] o.n.l.a.o.e.DefaultOpExecutioner : Blas vendor: [OPENBLAS]
2021-06-29 10:51:59.076 INFO 1 --- [ main] o.d.nn.multilayer.MultiLayerNetwork : Starting MultiLayerNetwork with WorkspaceModes set to [training: ENABLED; inference: ENABLED], cacheMode set to [NONE]
2021-06-29 10:51:59.658 INFO 1 --- [ main] o.s.b.w.embedded.tomcat.TomcatWebServer : Tomcat started on port(s): 8080 (http) with context path ''
2021-06-29 10:51:59.671 INFO 1 --- [ main] c.b.p.PredictNumberApplication : Started PredictNumberApplication in 6.474 seconds (JVM running for 7.235)