[Type Refactor] Use Java type system instead of custom one for typing tensors

tensorflow-core/tensorflow-core-api/src/bazel/op_generator/java_defs.h

@@ -97,9 +97,6 @@ class Type {
   static Type IterableOf(const Type& type) {
     return Interface("Iterable").add_parameter(type);
   }
-  static Type DataTypeOf(const Type& type) {
-    return Class("DataType", "org.tensorflow").add_parameter(type);
-  }
   static Type ForDataType(DataType data_type) {
     switch (data_type) {
       case DataType::DT_BOOL:

tensorflow-core/tensorflow-core-api/src/bazel/op_generator/op_generator.cc

@@ -103,39 +103,55 @@ void CollectOpDependencies(const OpSpec& op, RenderMode mode,
   }
   for (const AttributeSpec& attribute : op.attributes()) {
     out->push_back(attribute.var().type());
-    out->push_back(attribute.jni_type());
+    if (attribute.jni_type().name() == "DataType") {
+      out->push_back(Type::Class("Operands", "org.tensorflow.op"));
+    } else {
+      out->push_back(attribute.jni_type());
+    }
     if (attribute.has_default_value() &&
         attribute.type().kind() == Type::GENERIC) {
       out->push_back(Type::ForDataType(attribute.default_value()->type()));
     }
   }
   for (const AttributeSpec& optional_attribute : op.optional_attributes()) {
+    if (optional_attribute.jni_type().name() == "DataType") {
+      out->push_back(Type::Class("Operands", "org.tensorflow.op"));
+    } else {
+      out->push_back(optional_attribute.jni_type());
+    }
     out->push_back(optional_attribute.var().type());
   }
 }
 
 void WriteSetAttrDirective(const AttributeSpec& attr, bool optional,
                            SourceWriter* writer) {
   string var_name = optional ? "opts." + attr.var().name() : attr.var().name();
-  if (attr.iterable()) {
-    string array_name = attr.var().name() + "Array";
-    writer->AppendType(attr.jni_type())
-        .Append("[] " + array_name + " = new ")
-        .AppendType(attr.jni_type())
-        .Append("[" + var_name + ".size()];")
-        .EndLine()
-        .BeginBlock("for (int i = 0; i < " + array_name + ".length; ++i)")
-        .Append(array_name + "[i] = ");
-    writer->Append(var_name + ".get(i);");
-    writer->EndLine()
-        .EndBlock()
-        .Append("opBuilder.setAttr(\"" + attr.op_def_name() + "\", ")
-        .Append(array_name + ");")
-        .EndLine();
-  } else {
+  if (attr.jni_type().name() == "DataType") {
     writer->Append("opBuilder.setAttr(\"" + attr.op_def_name() + "\", ")
-        .Append(var_name + ");")
-        .EndLine();
+          .Append(attr.iterable() ? "Operands.toDataTypes(" : "Operands.toDataType(")
+          .Append(attr.var().name() + "));")
+          .EndLine();
+  } else {
+    if (attr.iterable()) {
+      string array_name = attr.var().name() + "Array";
+      writer->AppendType(attr.jni_type())
+          .Append("[] " + array_name + " = new ")
+          .AppendType(attr.jni_type())
+          .Append("[" + var_name + ".size()];")
+          .EndLine()
+          .BeginBlock("for (int i = 0; i < " + array_name + ".length; ++i)")
+          .Append(array_name + "[i] = ");
+      writer->Append(var_name + ".get(i);");
+      writer->EndLine()
+          .EndBlock()
+          .Append("opBuilder.setAttr(\"" + attr.op_def_name() + "\", ")
+          .Append(array_name + ");")
+          .EndLine();
+    } else {
+      writer->Append("opBuilder.setAttr(\"" + attr.op_def_name() + "\", ")
+          .Append(var_name + ");")
+          .EndLine();
+    }
   }
 }
 
@@ -177,7 +193,7 @@ void RenderSecondaryFactoryMethod(const OpSpec& op, const Type& op_class,
     if (attr.type().kind() == Type::GENERIC &&
         default_types.find(attr.type().name()) != default_types.end()) {
       factory_statement << default_types.at(attr.type().name()).name()
-                        << ".DTYPE";
+                        << ".class";
     } else {
       AddArgument(attr.var(), attr.description(), &factory, &factory_doc);
       factory_statement << attr.var().name();

tensorflow-core/tensorflow-core-api/src/bazel/op_generator/op_specs.cc

@@ -81,13 +81,19 @@ class TypeResolver {
   std::pair<Type, Type> MakeTypePair(const Type& type) {
     return std::make_pair(type, type);
   }
-  Type NextGeneric() {
+  Type NextGeneric(const OpDef_AttrDef& attr_def) {
     char generic_letter = next_generic_letter_++;
     if (next_generic_letter_ > 'Z') {
       next_generic_letter_ = 'A';
     }
-    return Type::Generic(string(1, generic_letter))
-        .add_supertype(Type::Class("TType", "org.tensorflow.types.family"));
+    return Type::Generic(string(1, generic_letter));
+  }
+  Type TypeFamilyOf(const OpDef_AttrDef& attr_def) {
+    // TODO(karllessard) support more type families
+    if (IsRealNumbers(attr_def.allowed_values())) {
+      return Type::Interface("TNumber", "org.tensorflow.types.family");
+    }
+    return Type::Interface("TType", "org.tensorflow.types.family");
   }
 };
 
@@ -155,11 +161,9 @@ std::pair<Type, Type> TypeResolver::TypesOf(const OpDef_AttrDef& attr_def,
     types = MakeTypePair(Type::Class("Tensor", "org.tensorflow"));
 
   } else if (attr_type == "type") {
-    Type type = *iterable_out ? Type::Wildcard() : NextGeneric();
-    if (IsRealNumbers(attr_def.allowed_values())) {
-      type.add_supertype(Type::Class("TNumber", "org.tensorflow.types.family"));
-    }
-    types = MakeTypePair(type, Type::Enum("DataType", "org.tensorflow"));
+    Type type = *iterable_out ? Type::Wildcard() : NextGeneric(attr_def);
+    type.add_supertype(TypeFamilyOf(attr_def));
+    types = MakeTypePair(type, Type::Enum("DataType", "org.tensorflow.proto.framework"));
 
   } else {
     LOG(FATAL) << "Cannot resolve data type for attribute \"" << attr_type
@@ -305,7 +309,7 @@ AttributeSpec CreateAttribute(const OpDef_AttrDef& attr_def,
   bool iterable = false;
   std::pair<Type, Type> types = type_resolver->TypesOf(attr_def, &iterable);
   Type var_type = types.first.kind() == Type::GENERIC
-                      ? Type::DataTypeOf(types.first)
+                      ? Type::ClassOf(types.first)
                       : types.first;
   if (iterable) {
     var_type = Type::ListOf(var_type);

tensorflow-core/tensorflow-core-api/src/bazel/op_generator/source_writer.cc

@@ -85,6 +85,7 @@ SourceWriter& SourceWriter::Append(const StringPiece& str) {
 SourceWriter& SourceWriter::AppendType(const Type& type) {
   if (type.wildcard()) {
     Append("?");
+    WriteTypeBounds(type.supertypes());
   } else {
     Append(type.name());
     if (!type.parameters().empty()) {
@@ -321,14 +322,27 @@ SourceWriter& SourceWriter::WriteGenerics(
       Append(", ");
     }
     Append(pt->name());
-    if (!pt->supertypes().empty()) {
-      Append(" extends ").AppendType(pt->supertypes().front());
-    }
+    WriteTypeBounds(pt->supertypes());
     first = false;
   }
   return Append(">");
 }
 
+SourceWriter& SourceWriter::WriteTypeBounds(
+    const std::list<Type>& bounds) {
+  bool first = true;
+  for (const Type& bound : bounds) {
+    if (first) {
+      Append(" extends ");
+      first = false;
+    } else {
+      Append(" & ");
+    }
+    AppendType(bound);
+  }
+  return *this;
+}
+
 SourceWriter::GenericNamespace* SourceWriter::PushGenericNamespace(
     int modifiers) {
   GenericNamespace* generic_namespace;

tensorflow-core/tensorflow-core-api/src/bazel/op_generator/source_writer.h

@@ -213,6 +213,7 @@ class SourceWriter {
   SourceWriter& WriteJavadoc(const Javadoc& javadoc);
   SourceWriter& WriteAnnotations(const std::list<Annotation>& annotations);
   SourceWriter& WriteGenerics(const std::list<const Type*>& generics);
+  SourceWriter& WriteTypeBounds(const std::list<Type>& bounds);
   GenericNamespace* PushGenericNamespace(int modifiers);
   void PopGenericNamespace();
 };

tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DataExperimentalOps.java

@@ -18,12 +18,12 @@
 package org.tensorflow.op;
 
 import java.util.List;
-import org.tensorflow.DataType;
 import org.tensorflow.Operand;
 import org.tensorflow.ndarray.Shape;
 import org.tensorflow.op.data.experimental.DataServiceDataset;
 import org.tensorflow.types.TInt64;
 import org.tensorflow.types.TString;
+import org.tensorflow.types.family.TType;
 
 /**
  * An API for building {@code data.experimental} operations as {@link Op Op}s
@@ -57,7 +57,7 @@ public final class DataExperimentalOps {
   public DataServiceDataset dataServiceDataset(Operand<TInt64> datasetId,
       Operand<TString> processingMode, Operand<TString> address, Operand<TString> protocol,
       Operand<TString> jobName, Operand<TInt64> maxOutstandingRequests, Operand<?> iterationCounter,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes,
       DataServiceDataset.Options... options) {
     return DataServiceDataset.create(scope, datasetId, processingMode, address, protocol, jobName, maxOutstandingRequests, iterationCounter, outputTypes, outputShapes, options);
   }

tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DataOps.java

@@ -18,7 +18,6 @@
 package org.tensorflow.op;
 
 import java.util.List;
-import org.tensorflow.DataType;
 import org.tensorflow.Operand;
 import org.tensorflow.ndarray.Shape;
 import org.tensorflow.op.data.AnonymousIterator;
@@ -49,6 +48,7 @@
 import org.tensorflow.types.TBool;
 import org.tensorflow.types.TInt64;
 import org.tensorflow.types.TString;
+import org.tensorflow.types.family.TType;
 
 /**
  * An API for building {@code data} operations as {@link Op Op}s
@@ -75,7 +75,7 @@ public final class DataOps {
    * @param outputShapes
    * @return a new instance of AnonymousIterator
    */
-  public AnonymousIterator anonymousIterator(List<DataType<?>> outputTypes,
+  public AnonymousIterator anonymousIterator(List<Class<? extends TType>> outputTypes,
       List<Shape> outputShapes) {
     return AnonymousIterator.create(scope, outputTypes, outputShapes);
   }
@@ -93,8 +93,8 @@ public AnonymousIterator anonymousIterator(List<DataType<?>> outputTypes,
    * @return a new instance of BatchDataset
    */
   public BatchDataset batchDataset(Operand<?> inputDataset, Operand<TInt64> batchSize,
-      Operand<TBool> dropRemainder, List<DataType<?>> outputTypes, List<Shape> outputShapes,
-      BatchDataset.Options... options) {
+      Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes,
+      List<Shape> outputShapes, BatchDataset.Options... options) {
     return BatchDataset.create(scope, inputDataset, batchSize, dropRemainder, outputTypes, outputShapes, options);
   }
 
@@ -129,7 +129,7 @@ public CSVDataset cSVDataset(Operand<TString> filenames, Operand<TString> compre
    * @return a new instance of ConcatenateDataset
    */
   public ConcatenateDataset concatenateDataset(Operand<?> inputDataset, Operand<?> anotherDataset,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return ConcatenateDataset.create(scope, inputDataset, anotherDataset, outputTypes, outputShapes);
   }
 
@@ -164,8 +164,8 @@ public DeserializeIterator deserializeIterator(Operand<?> resourceHandle, Operan
    * @param outputShapes
    * @return a new instance of Iterator
    */
-  public Iterator iterator(String sharedName, String container, List<DataType<?>> outputTypes,
-      List<Shape> outputShapes) {
+  public Iterator iterator(String sharedName, String container,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return Iterator.create(scope, sharedName, container, outputTypes, outputShapes);
   }
 
@@ -177,8 +177,8 @@ public Iterator iterator(String sharedName, String container, List<DataType<?>>
    * @param outputShapes
    * @return a new instance of IteratorGetNext
    */
-  public IteratorGetNext iteratorGetNext(Operand<?> iterator, List<DataType<?>> outputTypes,
-      List<Shape> outputShapes) {
+  public IteratorGetNext iteratorGetNext(Operand<?> iterator,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return IteratorGetNext.create(scope, iterator, outputTypes, outputShapes);
   }
 
@@ -191,7 +191,7 @@ public IteratorGetNext iteratorGetNext(Operand<?> iterator, List<DataType<?>> ou
    * @return a new instance of IteratorGetNextAsOptional
    */
   public IteratorGetNextAsOptional iteratorGetNextAsOptional(Operand<?> iterator,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return IteratorGetNextAsOptional.create(scope, iterator, outputTypes, outputShapes);
   }
 
@@ -208,8 +208,8 @@ public IteratorGetNextAsOptional iteratorGetNextAsOptional(Operand<?> iterator,
    * @param outputShapes
    * @return a new instance of IteratorGetNextSync
    */
-  public IteratorGetNextSync iteratorGetNextSync(Operand<?> iterator, List<DataType<?>> outputTypes,
-      List<Shape> outputShapes) {
+  public IteratorGetNextSync iteratorGetNextSync(Operand<?> iterator,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return IteratorGetNextSync.create(scope, iterator, outputTypes, outputShapes);
   }
 
@@ -255,8 +255,8 @@ public OptionalFromValue optionalFromValue(Iterable<Operand<?>> components) {
    * @param outputShapes
    * @return a new instance of OptionalGetValue
    */
-  public OptionalGetValue optionalGetValue(Operand<?> optional, List<DataType<?>> outputTypes,
-      List<Shape> outputShapes) {
+  public OptionalGetValue optionalGetValue(Operand<?> optional,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return OptionalGetValue.create(scope, optional, outputTypes, outputShapes);
   }
 
@@ -290,7 +290,7 @@ public OptionalNone optionalNone() {
    * @return a new instance of RangeDataset
    */
   public RangeDataset rangeDataset(Operand<TInt64> start, Operand<TInt64> stop,
-      Operand<TInt64> step, List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      Operand<TInt64> step, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return RangeDataset.create(scope, start, stop, step, outputTypes, outputShapes);
   }
 
@@ -305,7 +305,7 @@ public RangeDataset rangeDataset(Operand<TInt64> start, Operand<TInt64> stop,
    * @return a new instance of RepeatDataset
    */
   public RepeatDataset repeatDataset(Operand<?> inputDataset, Operand<TInt64> count,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return RepeatDataset.create(scope, inputDataset, count, outputTypes, outputShapes);
   }
 
@@ -332,7 +332,7 @@ public SerializeIterator serializeIterator(Operand<?> resourceHandle,
    * @return a new instance of SkipDataset
    */
   public SkipDataset skipDataset(Operand<?> inputDataset, Operand<TInt64> count,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return SkipDataset.create(scope, inputDataset, count, outputTypes, outputShapes);
   }
 
@@ -348,7 +348,7 @@ public SkipDataset skipDataset(Operand<?> inputDataset, Operand<TInt64> count,
    * @return a new instance of TakeDataset
    */
   public TakeDataset takeDataset(Operand<?> inputDataset, Operand<TInt64> count,
-      List<DataType<?>> outputTypes, List<Shape> outputShapes) {
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return TakeDataset.create(scope, inputDataset, count, outputTypes, outputShapes);
   }
 
@@ -409,8 +409,8 @@ public TfRecordDataset tfRecordDataset(Operand<TString> filenames,
    * @param outputShapes
    * @return a new instance of ZipDataset
    */
-  public ZipDataset zipDataset(Iterable<Operand<?>> inputDatasets, List<DataType<?>> outputTypes,
-      List<Shape> outputShapes) {
+  public ZipDataset zipDataset(Iterable<Operand<?>> inputDatasets,
+      List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
     return ZipDataset.create(scope, inputDatasets, outputTypes, outputShapes);
   }
 

tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DtypesOps.java

@@ -17,7 +17,6 @@
 //
 package org.tensorflow.op;
 
-import org.tensorflow.DataType;
 import org.tensorflow.Operand;
 import org.tensorflow.op.dtypes.AsString;
 import org.tensorflow.op.dtypes.Cast;
@@ -73,7 +72,7 @@ public <T extends TType> AsString asString(Operand<T> input, AsString.Options...
    * @param options carries optional attributes values
    * @return a new instance of Cast
    */
-  public <U extends TType, T extends TType> Cast<U> cast(Operand<T> x, DataType<U> DstT,
+  public <U extends TType, T extends TType> Cast<U> cast(Operand<T> x, Class<U> DstT,
       Cast.Options... options) {
     return Cast.create(scope, x, DstT, options);
   }
@@ -102,7 +101,7 @@ public <U extends TType, T extends TType> Cast<U> cast(Operand<T> x, DataType<U>
    * @return a new instance of Complex
    */
   public <U extends TType, T extends TNumber> Complex<U> complex(Operand<T> real, Operand<T> imag,
-      DataType<U> Tout) {
+      Class<U> Tout) {
     return Complex.create(scope, real, imag, Tout);
   }