Repository: deepjavalibrary/djl
Pull request #2104 (2022-10-26 15:46:45)

[onnxruntime] Adds disablePerSessionThreads option to model loading
Fixes: #2095

## Description ##

Brief description of what this PR is about

- If this change is a backward incompatible change, why must this change be made?
- Interesting edge cases to note here



Patch:
diff --git a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtEngine.java b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtEngine.java
index f96db2bfb..bb49ac51c 100644
--- a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtEngine.java
+++ b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtEngine.java
@@ -22,6 +22,7 @@ import ai.djl.nn.SymbolBlock;
 import ai.djl.training.GradientCollector;
 import ai.onnxruntime.OrtEnvironment;
 import ai.onnxruntime.OrtException;
+import ai.onnxruntime.OrtLoggingLevel;
 import ai.onnxruntime.OrtSession;
 
 /**
@@ -42,13 +43,33 @@ public final class OrtEngine extends Engine {
 
     private OrtEngine() {
         // init OrtRuntime
-        this.env = OrtEnvironment.getEnvironment();
+        OrtEnvironment.ThreadingOptions options = new OrtEnvironment.ThreadingOptions();
+        try {
+            Integer interOpThreads = Integer.getInteger("ai.djl.onnxruntime.num_interop_threads");
+            Integer intraOpsThreads = Integer.getInteger("ai.djl.onnxruntime.num_threads");
+            if (interOpThreads != null) {
+                options.setGlobalInterOpNumThreads(interOpThreads);
+            }
+            if (intraOpsThreads != null) {
+                options.setGlobalIntraOpNumThreads(intraOpsThreads);
+            }
+            OrtLoggingLevel logging = OrtLoggingLevel.ORT_LOGGING_LEVEL_WARNING;
+            String name = OrtEnvironment.DEFAULT_NAME;
+            this.env = OrtEnvironment.getEnvironment(logging, name, options);
+        } catch (OrtException e) {
+            options.close();
+            throw new AssertionError("Failed to config OrtEnvironment", e);
+        }
     }
 
     static Engine newInstance() {
         return new OrtEngine();
     }
 
+    OrtEnvironment getEnv() {
+        return env;
+    }
+
     /** {@inheritDoc} */
     @Override
     public Engine getAlternativeEngine() {
@@ -87,8 +108,7 @@ public final class OrtEngine extends Engine {
         if (StandardCapabilities.MKL.equals(capability)) {
             return true;
         } else if (StandardCapabilities.CUDA.equals(capability)) {
-            try {
-                OrtSession.SessionOptions sessionOptions = new OrtSession.SessionOptions();
+            try (OrtSession.SessionOptions sessionOptions = new OrtSession.SessionOptions()) {
                 sessionOptions.addCUDA();
                 return true;
             } catch (OrtException e) {
diff --git a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtModel.java b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtModel.java
index 6f2cf648b..81e07032a 100644
--- a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtModel.java
+++ b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtModel.java
@@ -179,6 +179,11 @@ public class OrtModel extends BaseModel {
             ortSession.setCPUArenaAllocator(true);
         }
 
+        String disablePerSessionThreads = (String) options.get("disablePerSessionThreads");
+        if (Boolean.parseBoolean(disablePerSessionThreads)) {
+            ortSession.disablePerSessionThreads();
+        }
+
         String customOpLibrary = (String) options.get("customOpLibrary");
         if (customOpLibrary != null) {
             ortSession.registerCustomOpLibrary(customOpLibrary);
diff --git a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
index 3cfbddce6..f18ad30a0 100644
--- a/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
+++ b/engines/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
@@ -127,7 +127,7 @@ public class OrtNDManager extends BaseNDManager {
     private static final class SystemManager extends OrtNDManager implements SystemNDManager {
 
         SystemManager() {
-            super(null, null, OrtEnvironment.getEnvironment());
+            super(null, null, ((OrtEngine) Engine.getEngine(OrtEngine.ENGINE_NAME)).getEnv());
         }
 
         /** {@inheritDoc} */
diff --git a/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java b/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
index 3fbd084c7..a379f76a0 100644
--- a/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
+++ b/extensions/timeseries/src/main/java/ai/djl/timeseries/dataset/M5Forecast.java
@@ -22,7 +22,6 @@ import ai.djl.repository.MRL;
 import ai.djl.repository.Repository;
 import ai.djl.util.JsonUtils;
 import ai.djl.util.Progress;
-import ai.djl.util.Utils;
 
 import org.apache.commons.csv.CSVFormat;
 
@@ -35,7 +34,6 @@ import java.nio.file.Path;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
-import java.util.Objects;
 import java.util.Set;
 
 /**
@@ -109,9 +107,9 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         // file as 'weekly_***'
         switch (usage) {
             case TRAIN:
-                return "fake_weekly_sales_train_validation.csv";
+                return "weekly_sales_train_validation.csv";
             case TEST:
-                return "fake_weekly_sales_train_evaluation.csv";
+                return "weekly_sales_train_evaluation.csv";
             case VALIDATION:
             default:
                 throw new UnsupportedOperationException("Data not available.");
@@ -122,11 +120,17 @@ public class M5Forecast extends CsvTimeSeriesDataset {
     public static class Builder extends CsvBuilder<Builder> {
 
         Repository repository;
-        Usage usage = Usage.TRAIN;
+        String groupId;
+        String artifactId;
+        Usage usage;
         M5Features mf;
         List<Integer> cardinality;
 
         Builder() {
+            repository = BasicDatasets.REPOSITORY;
+            groupId = BasicDatasets.GROUP_ID;
+            artifactId = ARTIFACT_ID;
+            usage = Usage.TRAIN;
             csvFormat =
                     CSVFormat.DEFAULT
                             .builder()
@@ -139,8 +143,7 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         }
 
         MRL getMrl() {
-            return repository.dataset(
-                    Application.Tabular.ANY, BasicDatasets.GROUP_ID, ARTIFACT_ID, VERSION);
+            return repository.dataset(Application.Tabular.ANY, groupId, artifactId, VERSION);
         }
 
         /** {@inheritDoc} */
@@ -150,18 +153,46 @@ public class M5Forecast extends CsvTimeSeriesDataset {
         }
 
         /**
-         * Set the repository containing the path.
+         * Sets the optional repository.
          *
-         * @param repository the repository containing the path
+         * @param repository the repository
          * @return this builder
          */
-        public Builder setRepository(Repository repository) {
+        public Builder optRepository(Repository repository) {
             this.repository = repository;
             return this;
         }
 
         /**
-         * Set the optional usage.
+         * Sets optional groupId.
+         *
+         * @param groupId the groupId}
+         * @return this builder
+         */
+        public Builder optGroupId(String groupId) {
+            this.groupId = groupId;
+            return this;
+        }
+
+        /**
+         * Sets the optional artifactId.
+         *
+         * @param artifactId the artifactId
+         * @return this builder
+         */
+        public Builder optArtifactId(String artifactId) {
+            if (artifactId.contains(":")) {
+                String[] tokens = artifactId.split(":");
+                groupId = tokens[0];
+                this.artifactId = tokens[1];
+            } else {
+                this.artifactId = artifactId;
+            }
+            return this;
+        }
+
+        /**
+         * Sets the optional usage.
          *
          * @param usage the usage
          * @return this builder
@@ -228,9 +259,8 @@ public class M5Forecast extends CsvTimeSeriesDataset {
 
         private void parseFeatures() {
             if (mf == null) {
-                String url =
-                        "https://mlrepo.djl.ai/dataset/tabular/ai/djl/basicdataset/m5forecast/1.0/m5forecast_parser.json";
-                try (InputStream is = Objects.requireNonNull(Utils.openUrl(url));
+                try (InputStream is =
+                                M5Forecast.class.getResourceAsStream("m5forecast_parser.json");
                         Reader reader = new InputStreamReader(is, StandardCharsets.UTF_8)) {
                     mf = JsonUtils.GSON.fromJson(reader, M5Features.class);
                 } catch (IOException e) {
diff --git a/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json b/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json
new file mode 100644
index 000000000..b1f0bdc90
--- /dev/null
+++ b/extensions/timeseries/src/main/resources/ai/djl/timeseries/dataset/m5forecast_parser.json
@@ -0,0 +1,3100 @@
+{
+  "featureArray": [
+    "state_id",
+    "store_id",
+    "cat_id",
+    "dept_id",
+    "item_id"
+  ],
+  "categorical": [
+    "state_id",
+    "store_id",
+    "cat_id",
+    "dept_id",
+    "item_id"
+  ],
+  "featureToMap": {
+    "state_id": {
+      "CA": 0,
+      "TX": 1,
+      "WI": 2
+    },
+    "store_id": {
+      "CA_1": 0,
+      "CA_2": 1,
+      "CA_3": 2,
+      "CA_4": 3,
+      "TX_1": 4,
+      "TX_2": 5,
+      "TX_3": 6,
+      "WI_1": 7,
+      "WI_2": 8,
+      "WI_3": 9
+    },
+    "cat_id": {
+      "FOODS": 0,
+      "HOBBIES": 1,
+      "HOUSEHOLD": 2
+    },
+    "dept_id": {
+      "FOODS_1": 0,
+      "FOODS_2": 1,
+      "FOODS_3": 2,
+      "HOBBIES_1": 3,
+      "HOBBIES_2": 4,
+      "HOUSEHOLD_1": 5,
+      "HOUSEHOLD_2": 6
+    },
+    "item_id": {
+      "FOODS_1_001": 0,
+      "FOODS_1_002": 1,
+      "FOODS_1_003": 2,
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+      "HOUSEHOLD_2_268": 2800,
+      "HOUSEHOLD_2_269": 2801,
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+      "HOUSEHOLD_2_271": 2803,
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+      "HOUSEHOLD_2_276": 2808,
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+      "HOUSEHOLD_2_278": 2810,
+      "HOUSEHOLD_2_279": 2811,
+      "HOUSEHOLD_2_280": 2812,
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+      "HOUSEHOLD_2_283": 2815,
+      "HOUSEHOLD_2_284": 2816,
+      "HOUSEHOLD_2_285": 2817,
+      "HOUSEHOLD_2_286": 2818,
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+      "HOUSEHOLD_2_288": 2820,
+      "HOUSEHOLD_2_289": 2821,
+      "HOUSEHOLD_2_290": 2822,
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+      "HOUSEHOLD_2_299": 2831,
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+      "HOUSEHOLD_2_304": 2836,
+      "HOUSEHOLD_2_305": 2837,
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+      "HOUSEHOLD_2_309": 2841,
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+      "HOUSEHOLD_2_314": 2846,
+      "HOUSEHOLD_2_315": 2847,
+      "HOUSEHOLD_2_316": 2848,
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+      "HOUSEHOLD_2_319": 2851,
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+      "HOUSEHOLD_2_367": 2899,
+      "HOUSEHOLD_2_368": 2900,
+      "HOUSEHOLD_2_369": 2901,
+      "HOUSEHOLD_2_370": 2902,
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+      "HOUSEHOLD_2_374": 2906,
+      "HOUSEHOLD_2_375": 2907,
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+      "HOUSEHOLD_2_377": 2909,
+      "HOUSEHOLD_2_378": 2910,
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+      "HOUSEHOLD_2_381": 2913,
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+      "HOUSEHOLD_2_384": 2916,
+      "HOUSEHOLD_2_385": 2917,
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+      "HOUSEHOLD_2_388": 2920,
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+      "HOUSEHOLD_2_393": 2925,
+      "HOUSEHOLD_2_394": 2926,
+      "HOUSEHOLD_2_395": 2927,
+      "HOUSEHOLD_2_396": 2928,
+      "HOUSEHOLD_2_397": 2929,
+      "HOUSEHOLD_2_398": 2930,
+      "HOUSEHOLD_2_399": 2931,
+      "HOUSEHOLD_2_400": 2932,
+      "HOUSEHOLD_2_401": 2933,
+      "HOUSEHOLD_2_402": 2934,
+      "HOUSEHOLD_2_403": 2935,
+      "HOUSEHOLD_2_404": 2936,
+      "HOUSEHOLD_2_405": 2937,
+      "HOUSEHOLD_2_406": 2938,
+      "HOUSEHOLD_2_407": 2939,
+      "HOUSEHOLD_2_408": 2940,
+      "HOUSEHOLD_2_409": 2941,
+      "HOUSEHOLD_2_410": 2942,
+      "HOUSEHOLD_2_411": 2943,
+      "HOUSEHOLD_2_412": 2944,
+      "HOUSEHOLD_2_413": 2945,
+      "HOUSEHOLD_2_414": 2946,
+      "HOUSEHOLD_2_415": 2947,
+      "HOUSEHOLD_2_416": 2948,
+      "HOUSEHOLD_2_417": 2949,
+      "HOUSEHOLD_2_418": 2950,
+      "HOUSEHOLD_2_419": 2951,
+      "HOUSEHOLD_2_420": 2952,
+      "HOUSEHOLD_2_421": 2953,
+      "HOUSEHOLD_2_422": 2954,
+      "HOUSEHOLD_2_423": 2955,
+      "HOUSEHOLD_2_424": 2956,
+      "HOUSEHOLD_2_425": 2957,
+      "HOUSEHOLD_2_426": 2958,
+      "HOUSEHOLD_2_427": 2959,
+      "HOUSEHOLD_2_428": 2960,
+      "HOUSEHOLD_2_429": 2961,
+      "HOUSEHOLD_2_430": 2962,
+      "HOUSEHOLD_2_431": 2963,
+      "HOUSEHOLD_2_432": 2964,
+      "HOUSEHOLD_2_433": 2965,
+      "HOUSEHOLD_2_434": 2966,
+      "HOUSEHOLD_2_435": 2967,
+      "HOUSEHOLD_2_436": 2968,
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+      "HOUSEHOLD_2_438": 2970,
+      "HOUSEHOLD_2_439": 2971,
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+      "HOUSEHOLD_2_441": 2973,
+      "HOUSEHOLD_2_442": 2974,
+      "HOUSEHOLD_2_443": 2975,
+      "HOUSEHOLD_2_444": 2976,
+      "HOUSEHOLD_2_445": 2977,
+      "HOUSEHOLD_2_446": 2978,
+      "HOUSEHOLD_2_447": 2979,
+      "HOUSEHOLD_2_448": 2980,
+      "HOUSEHOLD_2_449": 2981,
+      "HOUSEHOLD_2_450": 2982,
+      "HOUSEHOLD_2_451": 2983,
+      "HOUSEHOLD_2_452": 2984,
+      "HOUSEHOLD_2_453": 2985,
+      "HOUSEHOLD_2_454": 2986,
+      "HOUSEHOLD_2_455": 2987,
+      "HOUSEHOLD_2_456": 2988,
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+      "HOUSEHOLD_2_458": 2990,
+      "HOUSEHOLD_2_459": 2991,
+      "HOUSEHOLD_2_460": 2992,
+      "HOUSEHOLD_2_461": 2993,
+      "HOUSEHOLD_2_462": 2994,
+      "HOUSEHOLD_2_463": 2995,
+      "HOUSEHOLD_2_464": 2996,
+      "HOUSEHOLD_2_465": 2997,
+      "HOUSEHOLD_2_466": 2998,
+      "HOUSEHOLD_2_467": 2999,
+      "HOUSEHOLD_2_468": 3000,
+      "HOUSEHOLD_2_469": 3001,
+      "HOUSEHOLD_2_470": 3002,
+      "HOUSEHOLD_2_471": 3003,
+      "HOUSEHOLD_2_472": 3004,
+      "HOUSEHOLD_2_473": 3005,
+      "HOUSEHOLD_2_474": 3006,
+      "HOUSEHOLD_2_475": 3007,
+      "HOUSEHOLD_2_476": 3008,
+      "HOUSEHOLD_2_477": 3009,
+      "HOUSEHOLD_2_478": 3010,
+      "HOUSEHOLD_2_479": 3011,
+      "HOUSEHOLD_2_480": 3012,
+      "HOUSEHOLD_2_481": 3013,
+      "HOUSEHOLD_2_482": 3014,
+      "HOUSEHOLD_2_483": 3015,
+      "HOUSEHOLD_2_484": 3016,
+      "HOUSEHOLD_2_485": 3017,
+      "HOUSEHOLD_2_486": 3018,
+      "HOUSEHOLD_2_487": 3019,
+      "HOUSEHOLD_2_488": 3020,
+      "HOUSEHOLD_2_489": 3021,
+      "HOUSEHOLD_2_490": 3022,
+      "HOUSEHOLD_2_491": 3023,
+      "HOUSEHOLD_2_492": 3024,
+      "HOUSEHOLD_2_493": 3025,
+      "HOUSEHOLD_2_494": 3026,
+      "HOUSEHOLD_2_495": 3027,
+      "HOUSEHOLD_2_496": 3028,
+      "HOUSEHOLD_2_497": 3029,
+      "HOUSEHOLD_2_498": 3030,
+      "HOUSEHOLD_2_499": 3031,
+      "HOUSEHOLD_2_500": 3032,
+      "HOUSEHOLD_2_501": 3033,
+      "HOUSEHOLD_2_502": 3034,
+      "HOUSEHOLD_2_503": 3035,
+      "HOUSEHOLD_2_504": 3036,
+      "HOUSEHOLD_2_505": 3037,
+      "HOUSEHOLD_2_506": 3038,
+      "HOUSEHOLD_2_507": 3039,
+      "HOUSEHOLD_2_508": 3040,
+      "HOUSEHOLD_2_509": 3041,
+      "HOUSEHOLD_2_510": 3042,
+      "HOUSEHOLD_2_511": 3043,
+      "HOUSEHOLD_2_512": 3044,
+      "HOUSEHOLD_2_513": 3045,
+      "HOUSEHOLD_2_514": 3046,
+      "HOUSEHOLD_2_515": 3047,
+      "HOUSEHOLD_2_516": 3048
+    }
+  }
+}
\ No newline at end of file


Test patch:
diff --git a/engines/onnxruntime/onnxruntime-engine/src/test/java/ai/djl/onnxruntime/engine/OrtTest.java b/engines/onnxruntime/onnxruntime-engine/src/test/java/ai/djl/onnxruntime/engine/OrtTest.java
index 6287bd526..5bf1f1a4d 100644
--- a/engines/onnxruntime/onnxruntime-engine/src/test/java/ai/djl/onnxruntime/engine/OrtTest.java
+++ b/engines/onnxruntime/onnxruntime-engine/src/test/java/ai/djl/onnxruntime/engine/OrtTest.java
@@ -29,6 +29,7 @@ import ai.onnxruntime.OrtException;
 
 import org.testng.Assert;
 import org.testng.SkipException;
+import org.testng.annotations.BeforeClass;
 import org.testng.annotations.Test;
 
 import java.io.IOException;
@@ -39,6 +40,12 @@ import java.nio.file.Path;
 
 public class OrtTest {
 
+    @BeforeClass
+    public void setUp() {
+        System.setProperty("ai.djl.onnxruntime.num_threads", "1");
+        System.setProperty("ai.djl.onnxruntime.num_interop_threads", "1");
+    }
+
     @Test
     public void testOrt() throws TranslateException, ModelException, IOException {
         try {
@@ -52,6 +59,7 @@ public class OrtTest {
                             .optOption("optLevel", "NO_OPT")
                             .optOption("memoryPatternOptimization", "true")
                             .optOption("cpuArenaAllocator", "true")
+                            .optOption("disablePerSessionThreads", "true")
                             .build();
 
             IrisFlower virginica = new IrisFlower(1.0f, 2.0f, 3.0f, 4.0f);
diff --git a/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java b/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
index 3582e1443..7779f8fb2 100644
--- a/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
+++ b/extensions/timeseries/src/test/java/ai/djl/timeseries/dataset/M5ForecastTest.java
@@ -21,7 +21,6 @@ import ai.djl.ndarray.NDList;
 import ai.djl.ndarray.NDManager;
 import ai.djl.nn.Blocks;
 import ai.djl.nn.Parameter;
-import ai.djl.testing.TestRequirements;
 import ai.djl.timeseries.transform.TimeSeriesTransform;
 import ai.djl.training.DefaultTrainingConfig;
 import ai.djl.training.Trainer;
@@ -38,14 +37,17 @@ import org.testng.annotations.Test;
 
 import java.io.IOException;
 import java.time.LocalDateTime;
+import java.util.List;
 
 public class M5ForecastTest {
 
-    // Here for the purpose of unittest, we use the fake M5 forecast data. The real data needs to be
-    // downloaded from https://www.kaggle.com/competitions/m5-forecasting-accuracy/data
+    /*
+     * Here for the purpose of unittest, we use the M5 forecast unittest dataset.
+     * The real data needs to be downloaded from:
+     * https://www.kaggle.com/competitions/m5-forecasting-accuracy/data
+     */
     @Test
     public void testM5Forecast() throws IOException, TranslateException {
-        TestRequirements.weekly();
         TrainingConfig config =
                 new DefaultTrainingConfig(Loss.softmaxCrossEntropyLoss())
                         .optInitializer(Initializer.ONES, Parameter.Type.WEIGHT);
@@ -57,10 +59,14 @@ public class M5ForecastTest {
             M5Forecast.Builder builder =
                     M5Forecast.builder()
                             .optUsage(Dataset.Usage.TEST)
-                            .setRepository(BasicDatasets.REPOSITORY)
+                            .optRepository(BasicDatasets.REPOSITORY)
+                            .optGroupId(BasicDatasets.GROUP_ID)
+                            .optArtifactId("m5forecast-unittest")
                             .setTransformation(TimeSeriesTransform.identityTransformation())
                             .setContextLength(4)
                             .setSampling(32, true);
+            List<String> features = builder.getAvailableFeatures();
+            Assert.assertEquals(features.size(), 5);
             for (int i = 1; i <= 277; i++) {
                 builder.addFeature("w_" + i, FieldName.TARGET);
             }
@@ -80,8 +86,8 @@ public class M5ForecastTest {
 
             m5Forecast.prepare();
 
-            long size = m5Forecast.size();
-            Assert.assertEquals(size, 30490);
+            Assert.assertEquals(m5Forecast.getCardinality().size(), 5);
+            Assert.assertEquals(m5Forecast.size(), 64);
 
             Record record = m5Forecast.get(manager, 0);
             NDList data = record.getData();
diff --git a/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json b/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json
new file mode 100644
index 000000000..ec7fd8fe4
--- /dev/null
+++ b/extensions/timeseries/src/test/resources/mlrepo/dataset/tabular/ai/djl/basicdataset/m5forecast-unittest/metadata.json
@@ -0,0 +1,28 @@
+{
+  "metadataVersion": "0.1",
+  "resourceType": "dataset",
+  "application": "tabular",
+  "groupId": "ai.djl.basicdataset",
+  "artifactId": "m5forecast-unittest",
+  "name": "m5forecast",
+  "description": "This dataset provides the unittest m5 dataset.",
+  "artifacts": [
+    {
+      "version": "1.0",
+      "snapshot": false,
+      "name": "m5forecast",
+      "files": {
+        "train": {
+          "uri": "1.0/weekly_sales_train_evaluation.csv.gz",
+          "sha1Hash": "5505126866a94bccb0019035114bd95271a3505e",
+          "size": 13837
+        },
+        "test": {
+          "uri": "1.0/weekly_sales_train_validation.csv.gz",
+          "sha1Hash": "80812b80777009bc5a0e93980b683a87bb34e225",
+          "size": 13615
+        }
+      }
+    }
+  ]
+}