[jvm-packages][xgboost4j-gpu] Support GPU dataframe and DeviceQuantileDMatrix (#7195)

Following classes are added to support dataframe in java binding:

- `Column` is an abstract type for a single column in tabular data.
- `ColumnBatch` is an abstract type for dataframe.

- `CuDFColumn` is an implementaiton of `Column` that consume cuDF column
- `CudfColumnBatch` is an implementation of `ColumnBatch` that consumes cuDF dataframe.

- `DeviceQuantileDMatrix` is the interface for quantized data.

The Java implementation mimics the Python interface and uses `__cuda_array_interface__` protocol for memory indexing.  One difference is on JVM package, the data batch is staged on the host as java iterators cannot be reset.

Co-authored-by: jiamingy <jm.yuan@outlook.com>

jvm-packages/xgboost4j/src/native/xgboost4j.h

@@ -335,6 +335,30 @@ JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_RabitVersionNumber
 JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_RabitAllreduce
   (JNIEnv *, jclass, jobject, jint, jint, jint);
 
+/*
+ * Class:     ml_dmlc_xgboost4j_java_GpuXGBoostJNI
+ * Method:    XGDMatrixSetInfoFromInterface
+ * Signature: (JLjava/lang/String;Ljava/lang/String;)I
+ */
+JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGDMatrixSetInfoFromInterface
+  (JNIEnv *, jclass, jlong, jstring, jstring);
+
+/*
+ * Class:     ml_dmlc_xgboost4j_java_GpuXGBoostJNI
+ * Method:    XGDeviceQuantileDMatrixCreateFromCallback
+ * Signature: (Ljava/util/Iterator;FII[J)I
+ */
+JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGDeviceQuantileDMatrixCreateFromCallback
+  (JNIEnv *, jclass, jobject, jfloat, jint, jint, jlongArray);
+
+/*
+ * Class:     ml_dmlc_xgboost4j_java_GpuXGBoostJNI
+ * Method:    XGDMatrixCreateFromArrayInterfaceColumns
+ * Signature: (Ljava/lang/String;FI[J)I
+ */
+JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGDMatrixCreateFromArrayInterfaceColumns
+(JNIEnv *, jclass, jstring, jfloat, jint, jlongArray);
+
 #ifdef __cplusplus
 }
 #endif