More large resources
parent
cd7b62dba8
commit
f508c0e47b
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@ -46,6 +46,8 @@ import java.util.concurrent.CountDownLatch;
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public class RandomTests extends BaseDL4JTest {
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public class RandomTests extends BaseDL4JTest {
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@Test
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@Test
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@Tag(TagNames.LARGE_RESOURCES)
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@Tag(TagNames.LONG_TEST)
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public void testReproduce() throws Exception {
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public void testReproduce() throws Exception {
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final MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder().updater(new RmsProp())
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final MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder().updater(new RmsProp())
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@ -292,6 +292,8 @@ public class TestComputationGraphNetwork extends BaseDL4JTest {
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}
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}
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@Test
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@Test
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@Tag(TagNames.LARGE_RESOURCES)
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@Tag(TagNames.LONG_TEST)
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public void testIrisFit() {
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public void testIrisFit() {
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ComputationGraphConfiguration configuration = getIrisGraphConfiguration();
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ComputationGraphConfiguration configuration = getIrisGraphConfiguration();
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@ -1267,6 +1269,8 @@ public class TestComputationGraphNetwork extends BaseDL4JTest {
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}
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}
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@Test
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@Test
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@Tag(TagNames.LONG_TEST)
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@Tag(TagNames.LARGE_RESOURCES)
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public void testEpochCounter() throws Exception {
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public void testEpochCounter() throws Exception {
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ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()
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ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()
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@ -1304,6 +1308,8 @@ public class TestComputationGraphNetwork extends BaseDL4JTest {
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}
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}
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@Test
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@Test
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@Tag(TagNames.LONG_TEST)
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@Tag(TagNames.LARGE_RESOURCES)
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public void testSummary() {
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public void testSummary() {
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int V_WIDTH = 130;
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int V_WIDTH = 130;
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int V_HEIGHT = 130;
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int V_HEIGHT = 130;
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@ -502,6 +502,8 @@ class BatchNormalizationTest extends BaseDL4JTest {
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@Test
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@Test
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@DisplayName("Check Mean Variance Estimate CNN Compare Modes")
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@DisplayName("Check Mean Variance Estimate CNN Compare Modes")
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@Tag(TagNames.LONG_TEST)
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@Tag(TagNames.LARGE_RESOURCES)
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void checkMeanVarianceEstimateCNNCompareModes() throws Exception {
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void checkMeanVarianceEstimateCNNCompareModes() throws Exception {
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Nd4j.getRandom().setSeed(12345);
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Nd4j.getRandom().setSeed(12345);
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// Check that the internal global mean/variance estimate is approximately correct
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// Check that the internal global mean/variance estimate is approximately correct
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