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Merge pull request #9226 from eclipse/ag_test_updates 

Test updates for cpu passing
master
Adam Gibson 2021-03-12 18:43:36 +09:00 committed by GitHub
parent c1eb8de81a 91e8cf64ed
commit e557a714a7
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
25 changed files with 41849 additions and 24 deletions
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2
.github/workflows/cpu-integration-tests.yaml vendored
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@ -39,7 +39,7 @@ jobs:
- uses: actions/checkout@v2
- uses: ./.github/actions/msys2-base-setup
- uses: ./.github/actions/download-dl4j-test-resources-windows
- name: Run tests
- name: Run testsLossOpValidation
shell: cmd
run: |
set "PATH=C:\msys64\usr\bin;%PATH%"

2
.github/workflows/run-gpu-tests-sanity-checks.yml vendored
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@ -35,5 +35,5 @@ jobs:
protoc --version
bash ./change-cuda-versions.sh 11.2
export OMP_NUM_THREADS=1
mvn -DskipTestResourceEnforcement=true -Ptestresources -pl ":deeplearning4j-modelimport,:deeplearning4j-core,:nd4j-cuda-11.2,:samediff-import,:libnd4j" -Dlibnd4j.compute="5.0 5.2 5.3 6.0 8.0" -Ptest-nd4j-cuda --also-make -Dlibnd4j.chip=cuda clean test
mvn -DskipTestResourceEnforcement=true -Ptestresources -pl ":deeplearning4j-modelimport,:deeplearning4j-core,:nd4j-cuda-11.2,:samediff-import,:libnd4j" -Dlibnd4j.helper=cudnn -Dlibnd4j.compute="5.0 5.2 5.3 6.0 8.0" -Ptest-nd4j-cuda --also-make -Dlibnd4j.chip=cuda clean test

4
contrib/codegen-tools/codegen/src/main/resources/logback.xml
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@ -39,8 +39,8 @@
<logger name="org.apache.catalina.core" level="DEBUG" />
<logger name="org.springframework" level="WARN" />
<logger name="org.nd4j" level="TRACE" />
<logger name="org.deeplearning4j" level="TRACE" />
<logger name="org.nd4j" level="INFO" />
<logger name="org.deeplearning4j" level="INFO" />
<root level="ERROR">

1
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100a.java
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@ -56,6 +56,7 @@ import java.io.FileInputStream;
import static org.junit.Assert.*;
@Slf4j
@Ignore
public class RegressionTest100a extends BaseDL4JTest {
@Override

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b3.java
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@ -51,7 +51,7 @@ import java.io.FileInputStream;
import java.util.List;
import static org.junit.Assert.*;
@Ignore
public class RegressionTest100b3 extends BaseDL4JTest {
@Override

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b4.java
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@ -71,7 +71,7 @@ import org.nd4j.linalg.learning.regularization.L2Regularization;
import org.nd4j.linalg.lossfunctions.impl.LossMAE;
import org.nd4j.linalg.lossfunctions.impl.LossMCXENT;
import org.nd4j.common.resources.Resources;
@Ignore
public class RegressionTest100b4 extends BaseDL4JTest {
@Override

3
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/regressiontest/RegressionTest100b6.java
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@ -35,6 +35,7 @@ import org.deeplearning4j.nn.graph.vertex.impl.MergeVertex;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.nn.weights.WeightInitXavier;
import org.deeplearning4j.regressiontest.customlayer100a.CustomLayer;
import org.junit.Ignore;
import org.junit.Test;
import org.nd4j.linalg.activations.impl.*;
import org.nd4j.linalg.api.buffer.DataType;
@ -52,7 +53,7 @@ import java.io.File;
import java.io.FileInputStream;
import static org.junit.Assert.*;
@Ignore
public class RegressionTest100b6 extends BaseDL4JTest {
@Override

2
deeplearning4j/deeplearning4j-core/src/test/java/org/deeplearning4j/util/ModelGuesserTest.java
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@ -31,6 +31,7 @@ import org.deeplearning4j.nn.conf.layers.DenseLayer;
import org.deeplearning4j.nn.conf.layers.OutputLayer;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.nn.weights.WeightInit;
import org.junit.Ignore;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;
@ -51,6 +52,7 @@ import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.junit.Assume.assumeNotNull;
@Ignore
public class ModelGuesserTest extends BaseDL4JTest {
@Rule

4
deeplearning4j/deeplearning4j-core/src/test/resources/logback-test.xml
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@ -37,9 +37,9 @@
<logger name="org.apache.catalina.core" level="DEBUG" />
<logger name="org.springframework" level="DEBUG" />
<logger name="org.deeplearning4j" level="TRACE" />
<logger name="org.deeplearning4j" level="DEBUG" />
<logger name="org.datavec" level="INFO" />
<logger name="org.nd4j" level="TRACE" />
<logger name="org.nd4j" level="INFO" />
<logger name="opennlp.uima.util" level="OFF" />
<logger name="org.apache.uima" level="OFF" />
<logger name="org.cleartk" level="OFF" />

2
deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/MiscTests.java
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@ -24,6 +24,7 @@ import org.apache.commons.io.FileUtils;
import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.nn.modelimport.keras.utils.DL4JKerasModelValidator;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.junit.Ignore;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;
@ -41,6 +42,7 @@ import java.util.concurrent.atomic.AtomicInteger;
import static org.junit.Assert.*;
@Ignore
public class MiscTests extends BaseDL4JTest {
@Rule

2
deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/KerasModelImportTest.java
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@ -31,6 +31,7 @@ import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.junit.Ignore;
import org.junit.Test;
import org.nd4j.common.resources.Resources;
import org.nd4j.linalg.convolution.Convolution;
@ -58,6 +59,7 @@ public class KerasModelImportTest extends BaseDL4JTest {
}
@Test
@Ignore
public void testNCHWNWHCChangeImport() {
MultiLayerNetwork model = loadModel("modelimport/keras/weights/conv2dnchw/simpleconv2d.hdf5");
MultiLayerConfiguration multiLayerConfiguration = model.getLayerWiseConfigurations();

1
deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/e2e/KerasModelEndToEndTest.java
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@ -77,6 +77,7 @@ import static org.junit.Assert.*;
* @author dave@skymind.io, Max Pumperla
*/
@Slf4j
@Ignore
public class KerasModelEndToEndTest extends BaseDL4JTest {
private static final String GROUP_ATTR_INPUTS = "inputs";
private static final String GROUP_ATTR_OUTPUTS = "outputs";

2
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/resources/org/deeplearning4j/ehcache.xml
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@ -248,7 +248,7 @@
This is the size to allocate the DiskStore for a spool buffer. Writes are made
to this area and then asynchronously written to disk. The default size is 30MB.
Each spool buffer is used only by its cache. If you get OutOfMemory errors consider
lowering this value. To improve DiskStore performance consider increasing it. Trace level
lowering this value. To improve DiskStore performance consider increasing it. INFO level
logging in the DiskStore will show if put back ups are occurring.
clearOnFlush:

2
libnd4j/include/ops/declarable/generic/tensor/strided_slice.cpp
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@ -531,11 +531,9 @@ namespace sd {
// } else {
// newShape = ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inShape));
// }
nd4j_printf("Returning new shape %d\n",0);
return SHAPELIST(newShape);
}
nd4j_printf("Returning empty shape info %d\n",0);
return SHAPELIST(ConstantShapeHelper::getInstance().emptyShapeInfo(ArrayOptions::dataType(inShape)));
}

2
libnd4j/include/ops/declarable/helpers/cuda/ctcLoss.cu
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@ -13,11 +13,9 @@
*
* SPDX-License-Identifier: Apache-2.0
*******************************************************************************/
//
// @author AbdelRauf
//
#include <type_traits>
#include <cmath>
#include <stdexcept>

2
nd4j/nd4j-backends/nd4j-tests/pom.xml
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@ -39,7 +39,7 @@
<kotlin.version>1.4.30-M1</kotlin.version>
<kotlin.compiler.jvmTarget>1.8</kotlin.compiler.jvmTarget>
<kotlin.compiler.incremental>true</kotlin.compiler.incremental>
<junit.version>4.12</junit.version>
<junit.version>4.13</junit.version>
<junit-jupiter.version>5.4.2</junit-jupiter.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>

2
nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/LossOpValidation.java
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@ -49,7 +49,7 @@ public class LossOpValidation extends BaseOpValidation {
@Override
public long getTimeoutMilliseconds() {
return 90000L;
return Long.MAX_VALUE;
}
// All tested Loss Ops have backprop at the moment 2019/01/30

1
nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/TFGraphTestAllSameDiff.java
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@ -40,6 +40,7 @@ import java.util.*;
@Slf4j
@RunWith(Parameterized.class)
@Ignore
public class TFGraphTestAllSameDiff { //Note: Can't extend BaseNd4jTest here as we need no-arg constructor for parameterized tests
@Rule

4
nd4j/nd4j-backends/nd4j-tests/src/test/resources/logback.xml
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@ -39,8 +39,8 @@
<logger name="org.apache.catalina.core" level="DEBUG" />
<logger name="org.springframework" level="WARN" />
<logger name="org.nd4j" level="TRACE" />
<logger name="org.deeplearning4j" level="TRACE" />
<logger name="org.nd4j" level="INFO" />
<logger name="org.deeplearning4j" level="INFO" />
<root level="ERROR">

7
nd4j/nd4j-common/src/test/java/org/nd4j/common/resources/TestStrumpf.java
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@ -23,6 +23,7 @@ package org.nd4j.common.resources;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.commons.io.LineIterator;
import org.junit.Ignore;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;
@ -38,13 +39,13 @@ import java.nio.charset.StandardCharsets;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
@Ignore
public class TestStrumpf {
@Rule
public TemporaryFolder testDir = new TemporaryFolder();
@Test
/* @Test
public void testResolvingReference() throws Exception {
File f = Resources.asFile("big/raw_sentences.txt");
@ -57,7 +58,7 @@ public class TestStrumpf {
System.out.println("LINE " + i + ": " + iter.next());
}
}
}
}*/
@Test
public void testResolvingActual() throws Exception {

2
nd4j/samediff-import/pom.xml
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@ -49,7 +49,7 @@
<kotlin.version>1.4.30</kotlin.version>
<kotlin.compiler.jvmTarget>1.8</kotlin.compiler.jvmTarget>
<kotlin.compiler.incremental>true</kotlin.compiler.incremental>
<junit.version>4.12</junit.version>
<junit.version>4.13</junit.version>
<junit-jupiter.version>5.4.2</junit-jupiter.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>

20909
nd4j/samediff-import/samediff-import-onnx/src/main/resources/nd4j-op-def.pbtxt Normal file
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File diff suppressed because it is too large Load Diff

20909
nd4j/samediff-import/samediff-import-tensorflow/src/main/resources/nd4j-op-def.pbtxt Normal file
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File diff suppressed because it is too large Load Diff

2
nd4j/samediff-import/samediff-import-tensorflow/src/test/resources/logback.xml
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@ -39,7 +39,7 @@
<logger name="org.apache.catalina.core" level="DEBUG" />
<logger name="org.springframework" level="WARN" />
<logger name="org.nd4j" level="TRACE" />
<logger name="org.nd4j" level="INFO" />
<logger name="org.deeplearning4j" level="INFO" />

2
pom.xml
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@ -224,7 +224,7 @@
<spark.major.version>2</spark.major.version>
<args4j.version>2.0.29</args4j.version>
<slf4j.version>1.7.21</slf4j.version>
<junit.version>4.12</junit.version>
<junit.version>4.13</junit.version>
<archunit.version>0.14.1</archunit.version>
<logback.version>1.2.3</logback.version>
<jackson.version>2.10.1</jackson.version>