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| [INFO] Installing D:\src\github\konduitai\konduit-serving\konduit-serving-metadata\konduit-serving-meta\target\konduit-serving-meta-0.1.0-SNAPSHOT.jar to C:\Users\Alex\.m2\repository\ai\konduit\serving\konduit-serving-meta\0.1.0-SNAPSHOT\konduit-serving-meta-0.1.0-SNAPSHOT.jar | |
| [INFO] Installing D:\src\github\konduitai\konduit-serving\konduit-serving-metadata\konduit-serving-meta\dependency-reduced-pom.xml to C:\Users\Alex\.m2\repository\ai\konduit\serving\konduit-serving-meta\0.1.0-SNAPSHOT\konduit-serving-meta-0.1.0-SNAPSHOT.pom | |
| [INFO] | |
| [INFO] --------------< ai.konduit.serving:konduit-serving-build >-------------- | |
| [INFO] Building konduit-serving-build 0.1.0-SNAPSHOT [27/31] | |
| [INFO] --------------------------------[ jar ]--------------------------------- | |
| [INFO] | |
| [INFO] --- maven-enforcer-plugin:3.0.0-M2:enforce (enforce-maven) @ konduit-serving-build --- | |
| [WARNING] | |
| Dependency convergence error for com.google.code.gson:gson:2.8.5 paths to dependency are: |
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| [INFO] Scanning for projects... | |
| [INFO] | |
| [INFO] ----------------------< org.datavec:datavec-api >----------------------- | |
| [INFO] Building datavec-api 1.0.0-SNAPSHOT | |
| [INFO] --------------------------------[ jar ]--------------------------------- | |
| [INFO] | |
| [INFO] --- maven-clean-plugin:2.5:clean (default-clean) @ datavec-api --- | |
| [INFO] Deleting D:\src\github\konduitai\deeplearning4j\datavec\datavec-api\target | |
| [INFO] | |
| [INFO] --- maven-enforcer-plugin:1.4.1:enforce (enforce-maven) @ datavec-api --- |
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| # Namespace Linalg | |
| ## Cholesky | |
| ```ANY | |
| Computes the Cholesky decomposition of one or more square matrices. | |
| ``` | |
| * input Input tensor with inner-most 2 dimensions forming square matrices (NUMERIC type) | |
| ## Lstsq | |
| ```ANY | |
| Solver for linear squares problems. |
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| 1. Install this docker image https://hub.docker.com/r/hopsoft/graphite-statsd | |
| docker run -d\ | |
| --name graphite\ | |
| --restart=always\ | |
| -p 80:80 \ | |
| -p 2003-2004:2003-2004 \ | |
| -p 2023-2024:2023-2024 \ | |
| -p 8125:8125/udp \ | |
| -p 8126:8126 \ | |
| -v /path/to/graphite/configs:/opt/graphite/conf\ |
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| OpenSSH_for_Windows_7.7p1, LibreSSL 2.6.5 | |
| debug1: Connecting to 51.107.91.115 [51.107.91.115] port 22. | |
| debug1: Connection established. | |
| key_load_public: invalid format | |
| debug1: identity file C:\\Users\\Alex/.ssh/id_rsa type -1 | |
| debug1: key_load_public: No such file or directory | |
| debug1: identity file C:\\Users\\Alex/.ssh/id_rsa-cert type -1 | |
| debug1: key_load_public: No such file or directory | |
| debug1: identity file C:\\Users\\Alex/.ssh/id_dsa type -1 | |
| debug1: key_load_public: No such file or directory |
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| 1. java.lang.IllegalStateException: Cannot differentiate graph relative to the specified loss function variables [loss]: graph does not contain any trainable SDVariables (floating point VARIABLE type SDVariables) that the loss function depend on. | |
| at org.nd4j.base.Preconditions.throwStateEx(Preconditions.java:641) | |
| at org.nd4j.base.Preconditions.checkState(Preconditions.java:304) | |
| at org.nd4j.autodiff.samediff.SameDiff$1.define(SameDiff.java:4346) | |
| at org.nd4j.autodiff.samediff.SameDiff.defineFunction(SameDiff.java:3981) | |
| at org.nd4j.autodiff.samediff.SameDiff.defineFunction(SameDiff.java:3966) | |
| at org.nd4j.autodiff.samediff.SameDiff.createGradFunction(SameDiff.java:4177) | |
| at org.nd4j.autodiff.samediff.SameDiff.createGradFunction(SameDiff.java:4084) | |
| at org.nd4j.autodiff.validation.GradCheckUtil.validateInternalState(GradCheckUtil.java:651) | |
| at org.nd4j.autodiff.validation.GradCheckUtil.checkGradients(GradCheckUtil.java:99) |
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| 2020-01-28 12:11:37,375 - [INFO] - from org.nd4j.linalg.factory.Nd4jBackend in main | |
| Loaded [CpuBackend] backend | |
| 2020-01-28 12:11:38,252 - [INFO] - from org.nd4j.nativeblas.NativeOpsHolder in main | |
| Number of threads used for linear algebra: 6 | |
| 2020-01-28 12:11:38,253 - [WARN] - from org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory in main | |
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| o.n.i.T.TFGraphTestAllSameDiff - ERROR Executing test: fake_quant/min_max_args/rank1_0_1_8bit - input keys [] | |
| java.lang.UnsupportedOperationException: Unable to map property "min" of type class java.lang.Float | |
| at org.nd4j.autodiff.samediff.serde.FlatBuffersMapper.mapFunctionPropertiesToFlatProperties(FlatBuffersMapper.java:488) | |
| at org.nd4j.autodiff.samediff.serde.FlatBuffersMapper.asFlatNode(FlatBuffersMapper.java:808) | |
| at org.nd4j.autodiff.samediff.SameDiff.asFlatBuffers(SameDiff.java:4863) | |
| at org.nd4j.autodiff.samediff.SameDiff.asFlatBuffers(SameDiff.java:4759) | |
| at org.nd4j.autodiff.samediff.SameDiff.asFlatBuffers(SameDiff.java:4981) |
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| 1. TF vs SD mismatch: | |
| Crop_and_resize | |
| Dropout | |
| nd4j tests failed: | |
| 1. FakeQuant | |
| java.lang.UnsupportedOperationException: calculateOutputDataTypes() has not been implemented for org.nd4j.linalg.api.ops.custom.FakeQuantWithMinMaxVarsPerChannel | |
| 2. is_strictly_increasing | |
| Error at [D:/src/github/konduitai/deeplearning4j/libnd4j/include/ops/declarable/generic/shape/reshape.cpp:231:0]: |
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| mvn install -DskipTests -Dlibnd4j.cuda | |
| [INFO] Scanning for projects... | |
| [WARNING] | |
| [WARNING] Some problems were encountered while building the effective model for org.nd4j:nd4j-tests:jar:1.0.0-SNAPSHOT | |
| [WARNING] 'build.plugins.plugin.(groupId:artifactId)' must be unique but found duplicate declaration of plugin org.apache.maven.plugins:maven-compiler-plugin @ line 49, column 21 | |
| [WARNING] | |
| [WARNING] Some problems were encountered while building the effective model for org.nd4j:nd4j-native:jar:1.0.0-SNAPSHOT | |
| [WARNING] 'build.plugins.plugin.(groupId:artifactId)' must be unique but found duplicate declaration of plugin org.apache.maven.plugins:maven-compiler-plugin @ line 318, column 21 | |
| [WARNING] | |
| [WARNING] Some problems were encountered while building the effective model for org.nd4j:nd4j-cuda-10.1:jar:1.0.0-SNAPSHOT |
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