Takenori Sato sato-cloudian
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| Progresses in 10 mins from start | |
| mkl2017_alexnet | |
| I0520 10:49:04.197082 18913 solver.cpp:350] Iteration 0, Testing net (#0) | |
| I0520 10:52:59.592398 18913 solver.cpp:417] Test net output #0: accuracy = 0.00294811 | |
| I0520 10:52:59.592522 18913 solver.cpp:417] Test net output #1: loss = 5.82238 (* 1 = 5.82238 loss) | |
| I0520 10:53:18.741194 18913 solver.cpp:239] Iteration 0, loss = 5.82663 | |
| I0520 10:53:18.741279 18913 solver.cpp:255] Train net output #0: loss = 5.82663 (* 1 = 5.82663 loss) | |
| I0520 10:53:18.741314 18913 sgd_solver.cpp:106] Iteration 0, lr = 0.001 |
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| name: "cars_finegrained_nin" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { |
sato-cloudian
/ make_all.log
Created
May 16, 2016 07:27
build error of intelcaffe with MKL 2017 Beta
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| PROTOC src/caffe/proto/caffe.proto | |
| protoc --proto_path=src/caffe/proto --cpp_out=.build_release/src/caffe/proto src/caffe/proto/caffe.proto | |
| CXX .build_release/src/caffe/proto/caffe.pb.cc | |
| g++ .build_release/src/caffe/proto/caffe.pb.cc -DMKL2017_SUPPORTED -MMD -MP -pthread -fPIC -Wno-unused-local-typedefs -DCAFFE_VERSION=1.0.0-rc3 -DNDEBUG -O3 -DUSE_OPENCV -DUSE_LEVELDB -DUSE_LMDB -DCPU_ONLY -DUSE_MKL -I/home/tsato/anaconda2/include -I/home/tsato/anaconda2/include/python2.7 -I/home/tsato/anaconda2/lib/python2.7/site-packages/numpy/core/include -I/home/tsato/anaconda2/lib/python2.7/site-packages -I/usr/local/include -I.build_release/src -I./src -I./include -I./src/gtest/include -I./src/gtest/ -I./src/gmock/include -I./src/gmock/ -I/opt/intel/compilers_and_libraries_2017.0.042/linux/mkl/include -Wall -Wno-sign-compare -fopenmp -c -o .build_release/src/caffe/proto/caffe.pb.o 2> .build_release/src/caffe/proto/caffe.pb.o.warnings.txt \ | |
| || (cat .build_release/src/caffe/proto/caffe.pb.o.warnings.txt; exit 1) | |
| CXX src |
sato-cloudian
/ AlexNetExample.java
Created
February 19, 2016 01:53
Simple simulation of bvlc_reference_caffenet with DL4J for benchmarking
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| package org.deeplearning4j.examples.convolution; | |
| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.LimitFileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; |
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| package org.deeplearning4j.examples.convolution; | |
| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.FileSplit; | |
| import org.canova.api.split.LimitFileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; |
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| WARN [2016-01-26 23:33:12,931] org.deeplearning4j.optimize.solvers.BaseOptimizer: Objective function automatically set to minimize. Set stepFunction in neural net configuration to change default settings. | |
| Exception in thread "main" java.lang.IllegalArgumentException: Shapes do not match: x.shape=[10, 17], y.shape=[10, 549] | |
| at org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory.getTransformAction(CPUTaskFactory.java:92) | |
| at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.doTransformOp(DefaultOpExecutioner.java:409) | |
| at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.exec(DefaultOpExecutioner.java:62) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2660) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2641) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.sub(BaseNDArray.java:2419) | |
| at org.deeplearning4j.nn.layers.BaseOutputLayer.getGradientsAndDelta(BaseOutputLayer.java:154) | |
| at org.deeplearning4j.nn.layers.BaseOutputLayer.backpropGradient(BaseOutputLayer.ja |
sato-cloudian
/ MyCNNMnistExample.java
Last active
December 30, 2015 23:43
MyCNNMnistExample experiment 6
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Created
December 30, 2015 09:53
MyCNNMnistExample experimentation 5
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Created
December 30, 2015 07:32
MyCNNMnistExample experiment 4
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Last active
December 30, 2015 15:14
MyCNNMnistExample experiment 3
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
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