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basedrhys / hs_err_pid22817.log
Created May 25, 2020 21:15
JVM crash
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGSEGV (0xb) at pc=0x00007f3e30009024, pid=22817, tid=22909
#
# JRE version: OpenJDK Runtime Environment (11.0.7+10) (build 11.0.7+10-post-Ubuntu-2ubuntu218.04)
# Java VM: OpenJDK 64-Bit Server VM (11.0.7+10-post-Ubuntu-2ubuntu218.04, mixed mode, sharing, tiered, compressed oops, g1 gc, linux-amd64)
# Problematic frame:
# C 0x00007f3e30009024
#
@basedrhys
basedrhys / hs_err_pid13766.log
Created May 24, 2020 00:01
JVM error log from running VGG16 with DL4J 1.0.0-beta7
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGSEGV (0xb) at pc=0x00007fabe8008083, pid=13766, tid=13847
#
# JRE version: OpenJDK Runtime Environment (14.0.1+7) (build 14.0.1+7)
# Java VM: OpenJDK 64-Bit Server VM (14.0.1+7, mixed mode, sharing, tiered, compressed oops, g1 gc, linux-amd64)
# Problematic frame:
# C 0x00007fabe8008083
#
@basedrhys
basedrhys / DL4JStacktrace.txt
Created May 19, 2020 08:24
Stacktrace from DL4J, trying to load EfficientNet
org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException: Invalid input: ElementWise vertex cannot process CNN activations of different sizes:first [channels,width,height] = [32,112,112], input 1 = [32,1,1]
at org.deeplearning4j.nn.conf.graph.ElementWiseVertex.getOutputType(ElementWiseVertex.java:162)
at org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge.getOutputType(KerasMerge.java:153)
at org.deeplearning4j.nn.modelimport.keras.KerasModel.inferOutputTypes(KerasModel.java:304)
at org.deeplearning4j.nn.modelimport.keras.KerasModel.<init>(KerasModel.java:179)
at org.deeplearning4j.nn.modelimport.keras.KerasModel.<init>(KerasModel.java:96)
at org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder.buildModel(KerasModelBuilder.java:307)
at org.deeplearning4j.nn.modelimport.keras.KerasModelImport.importKerasModelAndWeights(KerasModelImport.java:172)
at weka.dl4j.zoo.keras.KerasZooModel.initPretrained(KerasZooModel.java:101)
at weka.dl4j.zoo.keras.KerasZooModel.initPretrained(Keras
@basedrhys
basedrhys / error_message.txt
Created March 18, 2020 23:48
java.lang.RuntimeException: Error deserializing JSON ComputationGraphConfiguration. Saved model JSON is not a valid ComputationGraphConfiguration
at org.deeplearning4j.util.ModelSerializer.restoreComputationGraph(ModelSerializer.java:641)
at org.deeplearning4j.util.ModelSerializer.restoreComputationGraph(ModelSerializer.java:498)
at org.deeplearning4j.zoo.ZooModel.initPretrained(ZooModel.java:101)
at weka.dl4j.zoo.AbstractZooModel.downloadWeights(AbstractZooModel.java:129)
at weka.dl4j.zoo.AbstractZooModel.attemptToLoadWeights(AbstractZooModel.java:83)
at weka.dl4j.zoo.VGG16.init(VGG16.java:64)
at weka.classifiers.functions.Dl4jMlpClassifier.setZooModel(Dl4jMlpClassifier.java:1606)
at weka.filters.unsupervised.attribute.Dl4jMlpFilter.loadModel(Dl4jMlpFilter.java:184)
at weka.filters.unsupervised.attribute.Dl4jMlpFilter.determineOutputFormat(Dl4jMlpFilter.java:194)
@basedrhys
basedrhys / author_config.json
Last active October 15, 2019 07:54
{
"embeddings": [
{
"tensorName": "Author Attribution",
"tensorShape": [
1062,
768
],
"tensorPath": "https://gist.githubusercontent.com/basedrhys/2ff66baa740399e73588047f9ef97767/raw/d2c2cc1df10db9aae3400a665bdeb1fcf7e91d5e/author_data.tsv",
"metadataPath": "https://gist.githubusercontent.com/basedrhys/59b7d9d5d8198decde61cf9584f34fc4/raw/b26e5196474e4bcf667189a85d02c0e2ea9430cf/author_metadata.tsv"
@basedrhys
basedrhys / author_metadata.tsv
Created October 15, 2019 07:53
filename class
Leetcode__1_SameTree2.java gaohannk
Leetcode__1_MaximumSubarray.java gaohannk
Leetcode__1_Subsets2.java gaohannk
Leetcode__1_SameTree.java gaohannk
Leetcode__1_MergekSortedLists5.java gaohannk
Leetcode__1_ClimbingStairs.java gaohannk
Leetcode__1_MaximumDepthofBinaryTree2.java gaohannk
Leetcode__1_ConvertSortedListtoBinarySearchTree2.java gaohannk
Leetcode__1_Powxn3.java gaohannk
@basedrhys
basedrhys / author_data.tsv
Created October 15, 2019 07:52
We can't make this file beautiful and searchable because it's too large.
0.280088 0.656661 -0.92275 -0.83683 0.030386 -0.551733 -0.163487 -0.298244 -0.362676 0.449495 -0.181407 -0.405172 0.091087 -0.301715 -0.033931 0.164686 -0.506875 0.732031 -0.546319 -0.230885 -0.569678 -0.435412 -0.316333 0.693155 -0.278355 0.007824 0.347959 -0.349794 -0.417397 0.543157 0.142431 -0.046649 -0.158897 0.352603 -0.014517 0.7087 -0.171632 0.546515 -0.862302 -0.520335 -0.158832 0.631703 -0.772801 -0.304771 -0.816976 -0.505348 -0.839934 0.326833 -0.387377 -0.061715 -0.080768 0.895136 -0.069225 -0.376173 -0.240098 0.737632 0.340239 -0.394747 -0.448129 0.737199 -0.43584 0.610594 0.79041 -0.325501 0.186149 0.329107 0.845414 -0.933697 -0.302017 0.346235 0.214357 0.111395 -0.238935 0.211009 -0.780403 -0.767181 0.206196 0.798958 -0.374642 0.469953 -0.4702 0.24963 0.60853 -0.589849 0.904132 0.437642 -0.699244 0.096325 -0.458579 0.852434 0.798192 0.548573 0.017592 0.127357 -0.329144 0.018992 0.135919 0.403543 0.109313 -0.40664 0.345666 0.532904 -0.512053 -0.832248 0.575568 0.631997 -0.812833 -0.357108 0.3721
@basedrhys
basedrhys / algorithm_config.json
Created October 15, 2019 07:34
{
"embeddings": [
{
"tensorName": "Algorithm Classification",
"tensorShape": [
182,
768
],
"tensorPath": "https://gist.githubusercontent.com/basedrhys/2186cb7c3525c6c7b375d0d474421f96/raw/f9a040ee45942fcf6c4f02526a9fde8a86ef214f/algorithm_data.tsv",
"metadataPath": "https://gist.githubusercontent.com/basedrhys/a1c9be340cf7feb52c36f24381102542/raw/9d1b19e6d074565c750b3e3b75ba3fe7e31a1f1d/algorithm_metadata.tsv"
@basedrhys
basedrhys / algorithm_metadata.tsv
Created October 15, 2019 07:30
filename class
DirectedDFS.java Graphs
DepthFirstSearch.java Graphs
LazyPrimMST.java Graphs
BoruvkaMST.java Graphs
KosarajuSharirSCC.java Graphs
EulerianCycle.java Graphs
BipartiteX.java Graphs
AdjMatrixEdgeWeightedDigraph.java Graphs
DirectedEdge.java Graphs
@basedrhys
basedrhys / algorithm_data.tsv
Created October 15, 2019 07:29
We can't make this file beautiful and searchable because it's too large.
-0.098548 0.141821 0.123623 0.080158 0.338481 -0.1496 -0.150991 -0.272596 0.04116 0.242281 -0.2887 0.160575 0.043912 -0.016313 -0.430857 -0.112638 0.20009 -0.278187 -0.012038 0.009299 -0.065894 0.261381 0.010806 0.653425 0.447245 -0.346238 -0.206425 -0.10771 0.262071 -0.215107 -0.226691 -0.366295 -0.448051 0.323061 -0.150089 -0.072043 0.138696 0.169387 -0.333651 0.293937 0.263094 0.412148 0.049652 -0.216633 -0.260518 0.168873 -0.506431 0.129789 -0.199644 -0.031974 -0.097805 0.260551 -0.221026 0.210762 -0.15523 -0.381011 0.13696 0.285984 0.133085 0.415425 0.059205 0.188841 0.23867 0.236517 0.202022 -0.229696 -0.007723 0.388665 -0.219885 0.391913 0.23285 -0.053315 0.019209 0.15725 -0.116285 0.149805 -0.139527 0.209161 -0.343205 0.226159 -0.045774 0.190797 0.008606 0.127026 0.555204 -0.090602 -0.445591 0.321491 -0.003305 0.409079 -0.312927 -0.208765 -0.007454 -0.051331 -0.154177 0.201659 -0.415628 -0.144073 -0.391168 -0.081903 -0.250269 0.190471 0.011761 0.019419 0.117754 0.034537 -0.272174 -0.190902 -0.12831 0.