[docs] Remove DLR from documents (#468)

README.md

@@ -17,7 +17,6 @@ You can install extra extensions to enable the following models:
 
 - PaddlePaddle model
 - TFLite model
-- Neo DLR (TVM) model
 - XGBoost model
 - LightGBM model
 - Sentencepiece model

benchmark/README.md

@@ -191,7 +191,6 @@ By default, the above script will use MXNet as the default Engine, but you can a
 -e OnnxRuntime # pytorch
 -e TFLite # TFLite
 -e TensorRT # TensorRT
--e DLR # Neo DLR
 -e XGBoost # XGBoost
 -e LightGBM # LightGBM
 -e Python # Python script

benchmark/build.gradle

@@ -15,7 +15,6 @@ dependencies {
     runtimeOnly "ai.djl.mxnet:mxnet-model-zoo"
     runtimeOnly "ai.djl.paddlepaddle:paddlepaddle-model-zoo"
     runtimeOnly "ai.djl.tflite:tflite-engine"
-    runtimeOnly "ai.djl.dlr:dlr-engine"
     runtimeOnly "ai.djl.ml.xgboost:xgboost"
     runtimeOnly project(":engines:python")
     runtimeOnly "ai.djl.tensorrt:tensorrt"

benchmark/snapcraft/snapcraft.yaml

@@ -16,7 +16,6 @@ description: |
   - ONNXRuntime
   - TensorRT
   - TensorFlow Lite
-  - Neo DLR
   - XGBoost
   - Python
 

benchmark/src/main/java/ai/djl/benchmark/Benchmark.java

@@ -124,9 +124,6 @@ private static void configEngines(boolean multithreading) {
         if (System.getProperty("ai.djl.tflite.disable_alternative") == null) {
             System.setProperty("ai.djl.tflite.disable_alternative", "true");
         }
-        if (System.getProperty("ai.djl.dlr.disable_alternative") == null) {
-            System.setProperty("ai.djl.dlr.disable_alternative", "true");
-        }
         if (System.getProperty("ai.djl.paddlepaddle.disable_alternative") == null) {
             System.setProperty("ai.djl.paddlepaddle.disable_alternative", "true");
         }

plugins/management-console/webapp/src/view/Dependency.vue

@@ -55,7 +55,6 @@
             <el-option label="PaddlePaddle" value="PaddlePaddle"></el-option>
             <el-option label="TFLite" value="TFLite"></el-option>
             <el-option label="XGBoost" value="XGBoost"></el-option>
-            <el-option label="DLR" value="DLR"></el-option>
           </el-select>
         </el-form-item>
 

serving/docs/configurations.md

@@ -63,18 +63,11 @@ DJLServing build on top of Deep Java Library (DJL). Here is a list of settings f
 | PADDLE_LIBRARY_PATH                     | env var/system prop | User provided custom PaddlePaddle native library |
 | ai.djl.paddlepaddle.disable_alternative | system prop         | Disable alternative engine                       |
 
-### Neo DLR (TVM)
-
-| Key                            | Type        | Description                             |
-|--------------------------------|-------------|-----------------------------------------|
-| DLR_LIBRARY_PATH               | env var     | User provided custom DLR native library |
-| ai.djl.dlr.disable_alternative | system prop | Disable alternative engine              |
-
 ### Huggingface tokenizers
 
-| Key              | Type    | Description                             |
-|------------------|---------|-----------------------------------------|
-| TOKENIZERS_CACHE | env var | User provided custom DLR native library |
+| Key              | Type    | Description                                               |
+|------------------|---------|-----------------------------------------------------------|
+| TOKENIZERS_CACHE | env var | User provided custom Huggingface tokenizer native library |
 
 ### Python
 
@@ -193,7 +186,6 @@ The follow table show some engine specific environment variables that is overrid
 | TF_NUM_INTEROP_THREADS | TensorFlow | default 1, OMP_NUM_THREADS will override this value |
 | TF_NUM_INTRAOP_THREADS | TensorFlow | default 1                                           |
 | TF_CPP_MIN_LOG_LEVEL	  | TensorFlow | default 1                                           |
-| TVM_NUM_THREADS        | DLR/TVM    | default 1, OMP_NUM_THREADS will override this value |
 | MXNET_ENGINE_TYPE      | MXNet      | this value must be `NaiveEngine`                    |
 
 ## Appendix

serving/src/main/java/ai/djl/serving/ModelServer.java

@@ -582,9 +582,6 @@ private String inferEngine(Path modelDir, String modelName) {
             return "PaddlePaddle";
         } else if (Files.isRegularFile(modelDir.resolve(modelName + ".json"))) {
             return "XGBoost";
-        } else if (Files.isRegularFile(modelDir.resolve(modelName + ".dylib"))
-                || Files.isRegularFile(modelDir.resolve(modelName + ".so"))) {
-            return "DLR";
         }
         logger.warn("Failed to detect engine of the model: {}", modelDir);
         return null;

serving/src/main/java/ai/djl/serving/plugins/DependencyManager.java

@@ -114,9 +114,6 @@ public void installEngine(String engineName) throws IOException {
             case "XGBoost":
                 installDependency("ai.djl.ml.xgboost:xgboost:" + djlVersion);
                 break;
-            case "DLR":
-                installDependency("ai.djl.dlr:dlr-engine:" + djlVersion);
-                break;
             default:
                 break;
         }

serving/src/main/puml/architecture.puml

@@ -50,7 +50,6 @@ package "DJL Serving - single process" {
             MXNet
             OnnxRuntime
             TFLite
-            DLR
             XGBoost
         ]
     }

serving/src/test/java/ai/djl/serving/ModelServerTest.java

@@ -188,11 +188,6 @@ public void testModelStore()
 
             String expected = modelDir.toUri().toURL().toString();
 
-            Path dlr = modelDir.resolve("test_model.so");
-            Files.createFile(dlr);
-            url = server.mapModelUrl(modelDir);
-            assertEquals(url, "test_model::DLR:*=" + expected);
-
             Path xgb = modelDir.resolve("test_model.json");
             Files.createFile(xgb);
             url = server.mapModelUrl(modelDir);