Update test suite declarations to ignore tests properly
parent
d58b87dd7c
commit
763b082f6a
|
@ -46,6 +46,8 @@ import org.nd4j.linalg.lossfunctions.LossFunctions;
|
|||
@Slf4j
|
||||
@Tag(TagNames.FILE_IO)
|
||||
@NativeTag
|
||||
@Tag(TagNames.LONG_TEST)
|
||||
@Tag(TagNames.LARGE_RESOURCES)
|
||||
public class ParameterServerParallelWrapperTest extends BaseDL4JTest {
|
||||
|
||||
@Test
|
||||
|
|
|
@ -38,6 +38,8 @@ import org.nd4j.linalg.factory.Nd4j;
|
|||
import static org.junit.jupiter.api.Assertions.*;
|
||||
@Tag(TagNames.FILE_IO)
|
||||
@NativeTag
|
||||
@Tag(TagNames.LARGE_RESOURCES)
|
||||
@Tag(TagNames.LONG_TEST)
|
||||
public class InplaceParallelInferenceTest extends BaseDL4JTest {
|
||||
|
||||
@Test
|
||||
|
|
|
@ -64,6 +64,8 @@ import static org.junit.jupiter.api.Assertions.*;
|
|||
@Slf4j
|
||||
@Tag(TagNames.FILE_IO)
|
||||
@NativeTag
|
||||
@Tag(TagNames.LONG_TEST)
|
||||
@Tag(TagNames.LARGE_RESOURCES)
|
||||
public class ParallelInferenceTest extends BaseDL4JTest {
|
||||
private static MultiLayerNetwork model;
|
||||
private static DataSetIterator iterator;
|
||||
|
|
|
@ -1,40 +1,7 @@
|
|||
input
|
||||
Reshape/shape
|
||||
Lenet/conv1/weights
|
||||
Lenet/conv1/biases
|
||||
Lenet/conv3/weights
|
||||
Lenet/conv3/biases
|
||||
Lenet/conv5/weights
|
||||
Lenet/conv5/biases
|
||||
Lenet/fc7/weights
|
||||
Lenet/fc7/biases
|
||||
Lenet/fc9/weights
|
||||
Lenet/fc9/biases
|
||||
Lenet/flat6_1/flatten/strided_slice/stack
|
||||
Lenet/flat6_1/flatten/strided_slice/stack_1
|
||||
Lenet/flat6_1/flatten/strided_slice/stack_2
|
||||
Lenet/flat6_1/flatten/Reshape/shape/1
|
||||
output/dimension
|
||||
Reshape
|
||||
Lenet/conv1_1/Conv2D
|
||||
Lenet/conv1_1/BiasAdd
|
||||
Lenet/conv1_1/Relu
|
||||
Lenet/pool2_1/MaxPool
|
||||
Lenet/conv3_1/Conv2D
|
||||
Lenet/conv3_1/BiasAdd
|
||||
Lenet/conv3_1/Relu
|
||||
Lenet/pool4_1/MaxPool
|
||||
Lenet/conv5_1/Conv2D
|
||||
Lenet/conv5_1/BiasAdd
|
||||
Lenet/conv5_1/Relu
|
||||
Lenet/flat6_1/flatten/Shape
|
||||
Lenet/flat6_1/flatten/strided_slice
|
||||
Lenet/flat6_1/flatten/Reshape/shape
|
||||
Lenet/flat6_1/flatten/Reshape
|
||||
Lenet/fc7_1/MatMul
|
||||
Lenet/fc7_1/BiasAdd
|
||||
Lenet/fc7_1/Relu
|
||||
Lenet/fc9_1/MatMul
|
||||
Lenet/fc9_1/BiasAdd
|
||||
Lenet/fc9_1/Relu
|
||||
output
|
||||
in_0
|
||||
in_1
|
||||
Add/y
|
||||
in_0/read
|
||||
in_1/read
|
||||
Add
|
||||
Zeta
|
||||
|
|
|
@ -86,6 +86,12 @@
|
|||
<profile>
|
||||
<id>testresources</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>nd4j-tests-cpu</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>nd4j-tests-cuda</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
|
||||
</project>
|
||||
|
|
|
@ -826,6 +826,7 @@ val conv3d = TensorflowMappingProcess(
|
|||
|
||||
|
||||
|
||||
|
||||
val divideNoNan = TensorflowMappingProcess(
|
||||
opName = "divide_no_nan",
|
||||
inputFrameworkOpName = "DivNoNan",
|
||||
|
|
|
@ -277,7 +277,6 @@ public class BERTGraphTest extends BaseNd4jTestWithBackends {
|
|||
assertEquals(exp3, softmax.getRow(3));
|
||||
}
|
||||
|
||||
@Test //@Disabled //AB ignored 08/04/2019 until fixed
|
||||
@ParameterizedTest
|
||||
@MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
|
||||
public void testBertTraining(Nd4jBackend backend) throws Exception {
|
||||
|
|
|
@ -20,6 +20,7 @@
|
|||
|
||||
package org.nd4j.imports.tfgraphs;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
import org.nd4j.imports.listeners.ExecPrintListener;
|
||||
import org.nd4j.imports.tfgraphs.listener.OpExecOrderListener;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
|
@ -111,21 +112,6 @@ public class TFGraphTestAllHelper {
|
|||
|
||||
public static final DefaultGraphLoader LOADER = new DefaultGraphLoader();
|
||||
|
||||
@BeforeAll
|
||||
public void beforeClass(){
|
||||
log.info("Starting tests for class: " + getClass().getName());
|
||||
}
|
||||
|
||||
@BeforeEach
|
||||
public void setup(){
|
||||
Nd4j.setDataType(DataType.FLOAT);
|
||||
}
|
||||
|
||||
@AfterEach
|
||||
public void tearDown() {
|
||||
NativeOpsHolder.getInstance().getDeviceNativeOps().enableDebugMode(false);
|
||||
NativeOpsHolder.getInstance().getDeviceNativeOps().enableVerboseMode(false);
|
||||
}
|
||||
|
||||
private static ExecutorConfiguration configuration = ExecutorConfiguration.builder()
|
||||
.executionMode(ExecutionMode.SEQUENTIAL)
|
||||
|
@ -559,32 +545,29 @@ public class TFGraphTestAllHelper {
|
|||
val dtypes = new HashMap<String, DataType>();
|
||||
|
||||
List<Pair<Resource,Resource>> resources = new ArrayList<>();
|
||||
if(recursive){
|
||||
if(recursive) {
|
||||
String nameRegex = pattern.replace("**.",".*\\.") + "\\.shape";
|
||||
// File baseDir = new File(System.getProperty("java.io.tmpdir"), UUID.randomUUID().toString() + "/" + modelName);
|
||||
// baseDir.mkdirs();
|
||||
// baseDir.deleteOnExit();
|
||||
// new ClassPathResource(modelDir).copyDirectory(baseDir);
|
||||
|
||||
// checking out, if local folder declared
|
||||
String localPath = System.getenv(TFGraphTestAllHelper.resourceFolderVar);
|
||||
if(localPath != null && (!localPath.contains("src/main/resources") && !localPath.contains("src\\main\\resources"))){
|
||||
if(localPath != null && (!localPath.contains("src/main/resources") && !localPath.contains("src\\main\\resources"))) {
|
||||
localPath = FilenameUtils.concat(localPath, "src/main/resources");
|
||||
}
|
||||
|
||||
|
||||
// baseDir will differ, depending on run mode
|
||||
File baseDir = localPath == null ? new File(localTestDir, "extracted/" + modelName) : new File(localPath, base_dir + "/" + modelName);
|
||||
String[] arr = baseDir.list();
|
||||
|
||||
if(!baseDir.exists() || arr == null || arr.length == 0){
|
||||
if(!baseDir.exists() || arr == null || arr.length == 0) {
|
||||
// we're skipping extraction if we're using local copy of dl4j-tests-resources
|
||||
if (localPath == null) {
|
||||
baseDir.mkdirs();
|
||||
baseDir.deleteOnExit();
|
||||
FileUtils.forceDeleteOnExit(baseDir);
|
||||
String md = modelDir;
|
||||
if(!md.endsWith("/") && !md.endsWith("\\")){
|
||||
md = md + "/";
|
||||
}
|
||||
|
||||
new ClassPathResource(md).copyDirectory(baseDir);
|
||||
} else{
|
||||
throw new IllegalStateException("local directory declared but could not find files: " + baseDir.getAbsolutePath());
|
||||
|
@ -595,7 +578,7 @@ public class TFGraphTestAllHelper {
|
|||
LinkedList<File> queue = new LinkedList<>();
|
||||
queue.add(baseDir);
|
||||
|
||||
while(!queue.isEmpty()){
|
||||
while(!queue.isEmpty()) {
|
||||
File subdir = queue.remove();
|
||||
File[] files = subdir.listFiles();
|
||||
if (files != null) {
|
||||
|
@ -665,7 +648,7 @@ public class TFGraphTestAllHelper {
|
|||
|
||||
// Preconditions.checkState(!dtypes.isEmpty(), "No datatypes file was found");
|
||||
|
||||
val dtype = Nd4j.dataType();
|
||||
|
||||
for (int i = 0; i < resources.size(); i++) {
|
||||
URI u = resources.get(i).getFirst().getURI();
|
||||
String varName = u.toString();
|
||||
|
@ -730,7 +713,7 @@ public class TFGraphTestAllHelper {
|
|||
}
|
||||
} else {
|
||||
int[] varShape = new int[filtered.size()];
|
||||
for( int j=0; j<filtered.size(); j++ ){
|
||||
for( int j = 0; j < filtered.size(); j++) {
|
||||
varShape[j] = Integer.parseInt(filtered.get(j));
|
||||
}
|
||||
|
||||
|
@ -801,8 +784,8 @@ public class TFGraphTestAllHelper {
|
|||
break;
|
||||
case BOOL:
|
||||
boolean[] bArr = new boolean[cLines.length];
|
||||
int z=0;
|
||||
while(z < bArr.length){
|
||||
int z = 0;
|
||||
while(z < bArr.length) {
|
||||
bArr[z] = parseBoolean(cLines[z]);
|
||||
z++;
|
||||
}
|
||||
|
@ -828,7 +811,7 @@ public class TFGraphTestAllHelper {
|
|||
return varMap;
|
||||
}
|
||||
|
||||
private static long parseLong(String line){
|
||||
private static long parseLong(String line) {
|
||||
line = line.trim(); //Handle whitespace
|
||||
if(line.matches("-?\\d+\\.0+")){
|
||||
//Annoyingly, some integer data is stored with redundant/unnecessary zeros - like "-7.0000000"
|
||||
|
|
|
@ -42,6 +42,8 @@ import java.io.IOException;
|
|||
import java.util.*;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
import static org.junit.jupiter.api.Assumptions.assumeFalse;
|
||||
|
||||
|
||||
@Slf4j
|
||||
@Tag(TagNames.LONG_TEST)
|
||||
|
@ -130,20 +132,18 @@ public class TFGraphTestAllLibnd4j { //Note: Can't extend BaseNd4jTest here as
|
|||
@ParameterizedTest
|
||||
@MethodSource("data")
|
||||
public void testOutputOnly(Map<String, INDArray> inputs, Map<String, INDArray> predictions, String modelName, File localTestDir) throws Exception {
|
||||
|
||||
|
||||
Nd4j.create(1);
|
||||
for(String s : TFGraphTestAllSameDiff.IGNORE_REGEXES){
|
||||
if(modelName.matches(s)){
|
||||
log.info("\n\tIGNORE MODEL ON REGEX: {} - regex {}", modelName, s);
|
||||
//OpValidationSuite.ignoreFailing();
|
||||
assumeFalse(true);
|
||||
}
|
||||
}
|
||||
|
||||
for(String s : SKIP_FOR_LIBND4J_EXEC) {
|
||||
if(modelName.matches(s)){
|
||||
log.info("\n\tIGNORE MODEL ON REGEX - SKIP LIBND4J EXEC ONLY: {} - regex {}", modelName, s);
|
||||
//OpValidationSuite.ignoreFailing();
|
||||
assumeFalse(true);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
@ -24,6 +24,8 @@ import lombok.extern.slf4j.Slf4j;
|
|||
import lombok.val;
|
||||
import org.junit.jupiter.api.*;
|
||||
|
||||
import org.junit.jupiter.api.parallel.Execution;
|
||||
import org.junit.jupiter.api.parallel.ExecutionMode;
|
||||
import org.junit.jupiter.params.ParameterizedTest;
|
||||
import org.junit.jupiter.params.provider.Arguments;
|
||||
import org.junit.jupiter.params.provider.MethodSource;
|
||||
|
@ -39,6 +41,8 @@ import java.io.IOException;
|
|||
import java.util.*;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
import static org.junit.jupiter.api.Assumptions.assumeFalse;
|
||||
|
||||
@Slf4j
|
||||
@Tag(TagNames.LONG_TEST)
|
||||
@Tag(TagNames.LARGE_RESOURCES)
|
||||
|
@ -139,23 +143,7 @@ public class TFGraphTestAllSameDiff { //Note: Can't extend BaseNd4jTest here a
|
|||
*/
|
||||
private final List<String> debugModeRegexes = Arrays.asList("fused_batch_norm/float16_nhwc");
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeClass() {
|
||||
Nd4j.scalar(1.0);
|
||||
Nd4j.setDataType(DataType.FLOAT);
|
||||
Nd4j.getExecutioner().setProfilingMode(OpExecutioner.ProfilingMode.SCOPE_PANIC);
|
||||
}
|
||||
|
||||
@BeforeEach
|
||||
public void setup() {
|
||||
Nd4j.setDataType(DataType.FLOAT);
|
||||
Nd4j.getExecutioner().enableDebugMode(true);
|
||||
Nd4j.getExecutioner().enableVerboseMode(true);
|
||||
}
|
||||
|
||||
@AfterEach
|
||||
public void tearDown() {
|
||||
}
|
||||
|
||||
public static Stream<Arguments> data() throws IOException {
|
||||
val localPath = System.getenv(TFGraphTestAllHelper.resourceFolderVar);
|
||||
|
@ -171,19 +159,21 @@ public class TFGraphTestAllSameDiff { //Note: Can't extend BaseNd4jTest here a
|
|||
}
|
||||
}
|
||||
|
||||
@ParameterizedTest
|
||||
@ParameterizedTest(name = "{2}")
|
||||
@MethodSource("data")
|
||||
//@DisableIfModelFound
|
||||
public void testOutputOnly(Map<String, INDArray> inputs, Map<String, INDArray> predictions, String modelName, File localTestDir) throws Exception {
|
||||
Nd4j.create(1);
|
||||
if(EXECUTE_ONLY_MODELS.isEmpty()) {
|
||||
for(String s : IGNORE_REGEXES) {
|
||||
for(String s : IGNORE_REGEXES) {
|
||||
if(modelName.matches(s)) {
|
||||
log.info("\n\tIGNORE MODEL ON REGEX: {} - regex {}", modelName, s);
|
||||
//OpValidationSuite.ignoreFailing();
|
||||
assumeFalse(true);
|
||||
}
|
||||
}
|
||||
} else if(!EXECUTE_ONLY_MODELS.contains(modelName)) {
|
||||
log.info("Not executing " + modelName);
|
||||
assumeFalse(true);
|
||||
//OpValidationSuite.ignoreFailing();
|
||||
}
|
||||
|
||||
|
|
|
@ -0,0 +1,155 @@
|
|||
/*
|
||||
*
|
||||
* * ******************************************************************************
|
||||
* * *
|
||||
* * *
|
||||
* * * This program and the accompanying materials are made available under the
|
||||
* * * terms of the Apache License, Version 2.0 which is available at
|
||||
* * * https://www.apache.org/licenses/LICENSE-2.0.
|
||||
* * *
|
||||
* * * See the NOTICE file distributed with this work for additional
|
||||
* * * information regarding copyright ownership.
|
||||
* * * Unless required by applicable law or agreed to in writing, software
|
||||
* * * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* * * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* * * License for the specific language governing permissions and limitations
|
||||
* * * under the License.
|
||||
* * *
|
||||
* * * SPDX-License-Identifier: Apache-2.0
|
||||
* * *****************************************************************************
|
||||
*
|
||||
*
|
||||
*/
|
||||
|
||||
package org.nd4j.imports.tfgraphs;
|
||||
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.junit.jupiter.api.extension.ConditionEvaluationResult;
|
||||
import org.junit.jupiter.api.extension.ExecutionCondition;
|
||||
import org.junit.jupiter.api.extension.ExtensionContext;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
|
||||
import static org.junit.jupiter.api.Assumptions.assumeFalse;
|
||||
|
||||
@Slf4j
|
||||
public class TFImportDisableModelsCondition implements ExecutionCondition {
|
||||
|
||||
/**
|
||||
* NOTE: If this is empty or the tests names are wrong,
|
||||
* all tests will trigger an assumeFalse(..) that indicates
|
||||
* the status of the test failing. No tests will run.
|
||||
*/
|
||||
public final static List<String> EXECUTE_ONLY_MODELS = Arrays.asList(
|
||||
/*"layers_dropout/rank2_d01_train",
|
||||
"layers_dropout/rank4_d05_train",
|
||||
"layers_dropout/rank3_d05_train_mask2",
|
||||
"layers_dropout/rank4_d05_train_mask",
|
||||
"layers_dropout/rank3_d05_train_mask1",
|
||||
"layers_dropout/rank2_d09_train",
|
||||
"layers_dropout/rank2_d05_train",*/
|
||||
|
||||
|
||||
);
|
||||
|
||||
public static final String[] IGNORE_REGEXES = new String[]{
|
||||
//Failing 2019/09/11 - https://github.com/eclipse/deeplearning4j/issues/7965
|
||||
// Still failing 2020/04/27 java.lang.IllegalStateException: Requested output variable Bincount does not exist in SameDiff instance
|
||||
//Invalid test cases. Verified by running graph against actual TF.
|
||||
"scatter_nd_sub/locking/rank1shape_1indices",
|
||||
"reductions/scatter_update_vector",
|
||||
"reductions/scatter_update_scalar",
|
||||
"emptyArrayTests/scatter_update/rank1_emptyIndices_emptyUpdates",
|
||||
"bincount/rank2_weights",
|
||||
"slogdet/.*",
|
||||
"fused_batch_norm/float16_nhwc",
|
||||
"emptyArrayTests/scatter_update/rank2_emptyIndices_emptyUpdates",
|
||||
//Don't bother to test RNG. We can test subsets of ops with dropout to make sure they are consistent
|
||||
//These tests have random uniform and other RNG in them that don't need to be perfectly compatible to be acceptable.
|
||||
//We need different test cases here.
|
||||
"layers_dropout/.*",
|
||||
//TODO floormod and truncatemod behave differently - i.e., "c" vs. "python" semantics. Need to check implementations too
|
||||
// Still failing 2020/04/27 java.lang.IllegalStateException: Could not find class for TF Ops: TruncateMod
|
||||
"truncatemod/.*",
|
||||
|
||||
//2019/09/11 - No tensorflow op found for SparseTensorDenseAdd
|
||||
// 2020/04/27 java.lang.IllegalStateException: Could not find class for TF Ops: SparseTensorDenseAdd
|
||||
"confusion/.*",
|
||||
|
||||
//2019/09/11 - Couple of tests failing (InferenceSession issues)
|
||||
// Still failing 2020/04/27 Requested output variable concat does not exist in SameDiff instance
|
||||
|
||||
|
||||
//2019/05/21 - Failing on windows-x86_64-cuda-9.2 only -
|
||||
"conv_4",
|
||||
"g_09",
|
||||
|
||||
//2019/05/28 - JVM crash on ppc64le only - See issue 7657
|
||||
"g_11",
|
||||
|
||||
//2019/07/09 - Need "Multinomial" op - https://github.com/eclipse/deeplearning4j/issues/7913
|
||||
// Still failing 2020/04/27 java.lang.IllegalStateException: Could not find class for TF Ops: Multinomial
|
||||
"multinomial/.*",
|
||||
|
||||
//2019/11/04 AB - disabled, pending libnd4j deconv3d_tf implementation
|
||||
// Still failing 2020/04/27 java.lang.IllegalStateException: Could not find descriptor for op: deconv3d_tf - class: org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv3DTF
|
||||
"conv3d_transpose.*",
|
||||
|
||||
//2019/11/15 - mapping is not present yet https://github.com/eclipse/deepleRaggedRange arning4j/issues/8397
|
||||
// Still failing 2020/04/27 java.lang.AssertionError: Predictions do not match on ragged/reduce_mean/2d_a1, node RaggedReduceMean/truediv
|
||||
"ragged/reduce_mean/.*",
|
||||
|
||||
|
||||
//08.05.2020 - https://github.com/eclipse/deeplearning4j/issues/8927
|
||||
"random_gamma/.*",
|
||||
|
||||
//08.05.2020 - https://github.com/eclipse/deeplearning4j/issues/8928
|
||||
"Conv3DBackpropInputV2/.*",
|
||||
|
||||
|
||||
|
||||
//12.05.2020 - https://github.com/eclipse/deeplearning4j/issues/8946
|
||||
"non_max_suppression_v4/.*","non_max_suppression_v5/.*",
|
||||
|
||||
|
||||
// 18.05.2020 - :wq:wq
|
||||
|
||||
"random_uniform_int/.*",
|
||||
"random_uniform/.*",
|
||||
"random_poisson_v2/.*"
|
||||
};
|
||||
|
||||
/* As per TFGraphTestList.printArraysDebugging - this field defines a set of regexes for test cases that should have
|
||||
all arrays printed during execution.
|
||||
If a test name matches any regex here, an ExecPrintListener will be added to the listeners, and all output
|
||||
arrays will be printed during execution
|
||||
*/
|
||||
private final List<String> debugModeRegexes = Arrays.asList("fused_batch_norm/float16_nhwc");
|
||||
|
||||
|
||||
|
||||
private ExtensionContext.Store getStore(ExtensionContext context) {
|
||||
return context.getStore(ExtensionContext.Namespace.create(getClass(), context.getRequiredTestMethod()));
|
||||
}
|
||||
|
||||
@Override
|
||||
public ConditionEvaluationResult evaluateExecutionCondition(ExtensionContext extensionContext) {
|
||||
String modelName = getStore(extensionContext).toString();
|
||||
if(EXECUTE_ONLY_MODELS.isEmpty()) {
|
||||
for(String s : IGNORE_REGEXES) {
|
||||
if(modelName.matches(s)) {
|
||||
log.info("\n\tIGNORE MODEL ON REGEX: {} - regex {}", modelName, s);
|
||||
assumeFalse(true);
|
||||
}
|
||||
}
|
||||
} else if(!EXECUTE_ONLY_MODELS.contains(modelName)) {
|
||||
log.info("Not executing " + modelName);
|
||||
assumeFalse(true);
|
||||
//OpValidationSuite.ignoreFailing();
|
||||
}
|
||||
|
||||
|
||||
return ConditionEvaluationResult.disabled("Method found");
|
||||
}
|
||||
}
|
|
@ -1,23 +1,4 @@
|
|||
Reshape,Reshape
|
||||
Lenet/conv1_1/Conv2D,Lenet/conv1_1/Conv2D
|
||||
Lenet/conv1_1/BiasAdd,Lenet/conv1_1/BiasAdd
|
||||
Lenet/conv1_1/Relu,Lenet/conv1_1/Relu
|
||||
Lenet/pool2_1/MaxPool,Lenet/pool2_1/MaxPool
|
||||
Lenet/conv3_1/Conv2D,Lenet/conv3_1/Conv2D
|
||||
Lenet/conv3_1/BiasAdd,Lenet/conv3_1/BiasAdd
|
||||
Lenet/conv3_1/Relu,Lenet/conv3_1/Relu
|
||||
Lenet/pool4_1/MaxPool,Lenet/pool4_1/MaxPool
|
||||
Lenet/conv5_1/Conv2D,Lenet/conv5_1/Conv2D
|
||||
Lenet/conv5_1/BiasAdd,Lenet/conv5_1/BiasAdd
|
||||
Lenet/conv5_1/Relu,Lenet/conv5_1/Relu
|
||||
Lenet/flat6_1/flatten/Shape,Lenet/flat6_1/flatten/Shape
|
||||
Lenet/flat6_1/flatten/strided_slice,Lenet/flat6_1/flatten/strided_slice
|
||||
Lenet/flat6_1/flatten/Reshape/shape,Lenet/flat6_1/flatten/Reshape/shape
|
||||
Lenet/flat6_1/flatten/Reshape,Lenet/flat6_1/flatten/Reshape
|
||||
Lenet/fc7_1/MatMul,Lenet/fc7_1/MatMul
|
||||
Lenet/fc7_1/BiasAdd,Lenet/fc7_1/BiasAdd
|
||||
Lenet/fc7_1/Relu,Lenet/fc7_1/Relu
|
||||
Lenet/fc9_1/MatMul,Lenet/fc9_1/MatMul
|
||||
Lenet/fc9_1/BiasAdd,Lenet/fc9_1/BiasAdd
|
||||
Lenet/fc9_1/Relu,Lenet/fc9_1/Relu
|
||||
output,output
|
||||
in_0/read,in_0/read
|
||||
in_1/read,in_1/read
|
||||
Add,Add
|
||||
Zeta,Zeta
|
||||
|
|
Loading…
Reference in New Issue