[TF] Remove @convention(tensorflow) and @TensorFlowGraph.

include/swift/AST/Attr.def

@@ -418,12 +418,10 @@ DECL_ATTR(differentiating, Differentiating,
 SIMPLE_DECL_ATTR(compilerEvaluable, CompilerEvaluable,
                  OnAccessor | OnFunc | OnConstructor | OnSubscript,
                  /* Not serialized */ 89)
-SIMPLE_DECL_ATTR(TensorFlowGraph, TensorFlowGraph,
-                 OnFunc, 90)
 SIMPLE_DECL_ATTR(_fieldwiseDifferentiable, FieldwiseDifferentiable,
-                 OnNominalType | UserInaccessible, 91)
+                 OnNominalType | UserInaccessible, 90)
 SIMPLE_DECL_ATTR(noDerivative, NoDerivative,
-                 OnVar, 92)
+                 OnVar, 91)
 
 #undef TYPE_ATTR
 #undef DECL_ATTR_ALIAS

include/swift/AST/Builtins.def

@@ -555,15 +555,6 @@ BUILTIN_MISC_OPERATION(WillThrow, "willThrow", "", Special)
 /// poundAssert has type (Builtin.Int1, Builtin.RawPointer) -> ().
 BUILTIN_MISC_OPERATION(PoundAssert, "poundAssert", "", Special)
 
-// SWIFT_ENABLE_TENSORFLOW
-/// tensorflowSend_X has type <T> (T) -> ().  The X in the name is an integer
-/// ID number that allows matching sends and receives.
-BUILTIN_MISC_OPERATION(TensorFlowSend, "tensorflowSend", "", Special)
-
-/// tensorflowReceive_X has type <T> () -> T.  The X in the name is an integer
-/// ID number that allows matching sends and receives.
-BUILTIN_MISC_OPERATION(TensorFlowReceive, "tensorflowReceive", "", Special)
-
 #undef BUILTIN_MISC_OPERATION
 
 /// Builtins for instrumentation added by sanitizers during SILGen.

include/swift/AST/DiagnosticsSema.def

@@ -2781,21 +2781,6 @@ ERROR(compiler_evaluable_forbidden_type,none,
 ERROR(compiler_evaluable_ref_non_compiler_evaluable,none,
       "@compilerEvaluable functions may not reference non-@compilerEvaluable functions", ())
 
-// @TensorFlowGraph attribute
-ERROR(tf_graph_attr_top_level_only,none,
-      "@TensorFlowGraph can only be applied to top-level functions", ())
-ERROR(tf_graph_deprecated_please_remove,none,
-      "@TensorFlowGraph has no effect and is deprecated. Please remove.", ())
-ERROR(tf_graph_attr_function_tensorflow_value_only,none,
-      "@TensorFlowGraph can only be applied to functions whose parameters and "
-      "return values are TensorFlow values or aggregates of TensorFlow "
-      "values", ())
-ERROR(tf_graph_attr_no_generic_functions,none,
-      "@TensorFlowGraph cannot be applied to generic functions", ())
-ERROR(tf_graph_attr_no_functions_with_captures,none,
-      "@TensorFlowGraph cannot be applied to functions that capture values",
-      ())
-
 // @noDerivative attribute
 ERROR(noderivative_only_on_stored_properties_in_differentiable_structs,none,
       "'@noDerivative' is only allowed on stored properties in structure types "

include/swift/AST/Types.h

@@ -2661,10 +2661,6 @@ enum class SILFunctionTypeRepresentation : uint8_t {
 
   /// A closure invocation function that has not been bound to a context.
   Closure,
-
-  // SWIFT_ENABLE_TENSORFLOW
-  /// A TensorFlow function pointer.
-  TensorFlow,
 };
 
 /// Can this calling convention result in a function being called indirectly
@@ -2676,8 +2672,6 @@ inline bool canBeCalledIndirectly(SILFunctionTypeRepresentation rep) {
   case SILFunctionTypeRepresentation::CFunctionPointer:
   case SILFunctionTypeRepresentation::Block:
   case SILFunctionTypeRepresentation::Closure:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
     return false;
   case SILFunctionTypeRepresentation::ObjCMethod:
   case SILFunctionTypeRepresentation::Method:
@@ -2702,8 +2696,6 @@ getSILFunctionLanguage(SILFunctionTypeRepresentation rep) {
   case SILFunctionTypeRepresentation::Method:
   case SILFunctionTypeRepresentation::WitnessMethod:
   case SILFunctionTypeRepresentation::Closure:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
     return SILFunctionLanguage::Swift;
   }
 
@@ -2935,8 +2927,6 @@ class AnyFunctionType : public TypeBase {
       case SILFunctionTypeRepresentation::Thin:
       case SILFunctionTypeRepresentation::CFunctionPointer:
       case SILFunctionTypeRepresentation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionTypeRepresentation::TensorFlow:
         return false;
       case SILFunctionTypeRepresentation::ObjCMethod:
       case SILFunctionTypeRepresentation::Method:
@@ -2959,8 +2949,6 @@ class AnyFunctionType : public TypeBase {
       case SILFunctionTypeRepresentation::WitnessMethod:
       case SILFunctionTypeRepresentation::CFunctionPointer:
       case SILFunctionTypeRepresentation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionTypeRepresentation::TensorFlow:
         return false;
       }
 
@@ -3808,8 +3796,6 @@ class SILFunctionType final : public TypeBase, public llvm::FoldingSetNode,
       case Representation::Thin:
       case Representation::CFunctionPointer:
       case Representation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-      case Representation::TensorFlow:
         return false;
       case Representation::ObjCMethod:
       case Representation::Method:
@@ -3832,8 +3818,6 @@ class SILFunctionType final : public TypeBase, public llvm::FoldingSetNode,
       case Representation::Method:
       case Representation::WitnessMethod:
       case Representation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-      case Representation::TensorFlow:
         return false;
       }
 

include/swift/SIL/ApplySite.h

@@ -196,8 +196,6 @@ class ApplySite {
     case SILFunctionTypeRepresentation::ObjCMethod:
     case SILFunctionTypeRepresentation::WitnessMethod:
     case SILFunctionTypeRepresentation::Closure:
-    // SWIFT_ENABLE_TENSORFLOW
-    case SILFunctionTypeRepresentation::TensorFlow:
       return true;
     case SILFunctionTypeRepresentation::Block:
     case SILFunctionTypeRepresentation::Thick:

include/swift/SILOptimizer/PassManager/Passes.h

@@ -42,10 +42,6 @@ namespace swift {
   /// Run all SIL passes for -Onone on module \p M.
   void runSILPassesForOnone(SILModule &M);
 
-  // SWIFT_ENABLE_TENSORFLOW
-  /// Run the partioning pass for TensorFlow operations.
-  void runSILTFPartitionPass(SILModule &M);
-
   /// Run the SIL ownership eliminator pass on \p M.
   bool runSILOwnershipEliminatorPass(SILModule &M);
 

include/swift/Serialization/ModuleFormat.h

@@ -170,8 +170,6 @@ enum class FunctionTypeRepresentation : uint8_t {
   Block,
   Thin,
   CFunctionPointer,
-  // SWIFT_ENABLE_TENSORFLOW
-  TensorFlow,
 };
 using FunctionTypeRepresentationField = BCFixed<4>;
 
@@ -192,9 +190,6 @@ enum class SILFunctionTypeRepresentation : uint8_t {
   Block,
   Thin,
   CFunctionPointer,
-  // SWIFT_ENABLE_TENSORFLOW
-  TensorFlow,
-
   FirstSIL = 8,
   Method = FirstSIL,
   ObjCMethod,

lib/AST/ASTDumper.cpp

@@ -203,8 +203,6 @@ getSILFunctionTypeRepresentationString(SILFunctionType::Representation value) {
   case SILFunctionType::Representation::Thick: return "thick";
   case SILFunctionType::Representation::Block: return "block";
   case SILFunctionType::Representation::CFunctionPointer: return "c";
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionType::Representation::TensorFlow: return "tensorflow";
   case SILFunctionType::Representation::Thin: return "thin";
   case SILFunctionType::Representation::Method: return "method";
   case SILFunctionType::Representation::ObjCMethod: return "objc_method";

lib/AST/ASTMangler.cpp

@@ -1405,8 +1405,6 @@ void ASTMangler::appendImplFunctionType(SILFunctionType *fn) {
   switch (fn->getRepresentation()) {
     case SILFunctionTypeRepresentation::Thick:
     case SILFunctionTypeRepresentation::Thin:
-    // SWIFT_ENABLE_TENSORFLOW
-    case SILFunctionTypeRepresentation::TensorFlow:
       break;
     case SILFunctionTypeRepresentation::Block:
       OpArgs.push_back('B');

lib/AST/ASTPrinter.cpp

@@ -3837,10 +3837,6 @@ class TypePrinter : public TypeVisitor<TypePrinter> {
       case SILFunctionType::Representation::CFunctionPointer:
         Printer << "c";
         break;
-      // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionType::Representation::TensorFlow:
-        Printer << "tensorflow";
-        break;
       case SILFunctionType::Representation::Method:
         Printer << "method";
         break;
@@ -3890,10 +3886,6 @@ class TypePrinter : public TypeVisitor<TypePrinter> {
       case SILFunctionType::Representation::CFunctionPointer:
         Printer << "c";
         break;
-      // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionType::Representation::TensorFlow:
-        Printer << "tensorflow";
-        break;
       case SILFunctionType::Representation::Method:
         Printer << "method";
         break;

lib/AST/Builtins.cpp

@@ -975,21 +975,6 @@ static ValueDecl *getGetObjCTypeEncodingOperation(ASTContext &Context,
 }
 
 // SWIFT_ENABLE_TENSORFLOW
-static ValueDecl *getTensorFlowSend(ASTContext &Context, Identifier Id) {
-  // <T> (T) -> ()
-  BuiltinGenericSignatureBuilder builder(Context);
-  builder.addParameter(makeGenericParam());
-  builder.setResult(makeConcrete(Context.TheEmptyTupleType));
-  return builder.build(Id);
-}
-
-static ValueDecl *getTensorFlowReceive(ASTContext &Context, Identifier Id) {
-  // <T> () -> (T)
-  BuiltinGenericSignatureBuilder builder(Context);
-  builder.setResult(makeGenericParam());
-  return builder.build(Id);
-}
-
 static ValueDecl *getAutoDiffApplyAssociatedFunction(
     ASTContext &Context, Identifier Id, AutoDiffAssociatedFunctionKind kind,
     unsigned arity, unsigned order, bool rethrows) {
@@ -2069,10 +2054,6 @@ ValueDecl *swift::getBuiltinValueDecl(ASTContext &Context, Identifier Id) {
     return getUnsafeGuaranteedEnd(Context, Id);
 
   // SWIFT_ENABLE_TENSORFLOW
-  case BuiltinValueKind::TensorFlowSend:
-    return getTensorFlowSend(Context, Id);
-  case BuiltinValueKind::TensorFlowReceive:
-    return getTensorFlowReceive(Context, Id);
   case BuiltinValueKind::AutoDiffApply:
     llvm_unreachable("Handled above");
 

lib/IRGen/GenCall.cpp

@@ -147,8 +147,6 @@ llvm::CallingConv::ID irgen::expandCallingConv(IRGenModule &IGM,
   case SILFunctionTypeRepresentation::CFunctionPointer:
   case SILFunctionTypeRepresentation::ObjCMethod:
   case SILFunctionTypeRepresentation::Block:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
     return llvm::CallingConv::C;
 
   case SILFunctionTypeRepresentation::Method:
@@ -1078,8 +1076,6 @@ void SignatureExpansion::expandExternalSignatureTypes() {
     paramTys.push_back(clangCtx.VoidPtrTy);
     break;
 
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
   case SILFunctionTypeRepresentation::CFunctionPointer:
     // No implicit arguments.
     break;
@@ -1374,8 +1370,6 @@ void SignatureExpansion::expandParameters() {
       case SILFunctionType::Representation::ObjCMethod:
       case SILFunctionType::Representation::Thin:
       case SILFunctionType::Representation::Closure:
-        // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionType::Representation::TensorFlow:
         return FnType->hasErrorResult();
 
       case SILFunctionType::Representation::Thick:
@@ -1887,8 +1881,6 @@ Callee::Callee(CalleeInfo &&info, const FunctionPointer &fn,
   case SILFunctionTypeRepresentation::Thin:
   case SILFunctionTypeRepresentation::Closure:
   case SILFunctionTypeRepresentation::CFunctionPointer:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
     assert(!FirstData && !SecondData);
     break;
   }
@@ -1903,8 +1895,6 @@ llvm::Value *Callee::getSwiftContext() const {
   case SILFunctionTypeRepresentation::CFunctionPointer:
   case SILFunctionTypeRepresentation::Thin:
   case SILFunctionTypeRepresentation::Closure:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
     return nullptr;
 
   case SILFunctionTypeRepresentation::WitnessMethod:
@@ -2765,8 +2755,6 @@ void CallEmission::setArgs(Explosion &original, bool isOutlined,
 
   case SILFunctionTypeRepresentation::Closure:
   case SILFunctionTypeRepresentation::Method:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
   case SILFunctionTypeRepresentation::Thin:
   case SILFunctionTypeRepresentation::Thick: {
     // Check for value arguments that need to be passed indirectly.

lib/IRGen/GenClangType.cpp

@@ -559,8 +559,6 @@ clang::CanQualType GenClangType::visitSILFunctionType(CanSILFunctionType type) {
     kind = CFunctionPointer;
     break;
 
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionType::Representation::TensorFlow:
   case SILFunctionType::Representation::Thick:
   case SILFunctionType::Representation::Thin:
   case SILFunctionType::Representation::Method:

lib/IRGen/GenFunc.cpp

@@ -493,8 +493,6 @@ const TypeInfo *TypeConverter::convertFunctionType(SILFunctionType *T) {
   case SILFunctionType::Representation::ObjCMethod:
   case SILFunctionType::Representation::CFunctionPointer:
   case SILFunctionType::Representation::Closure:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionType::Representation::TensorFlow:
     return ThinFuncTypeInfo::create(CanSILFunctionType(T),
                                     IGM.FunctionPtrTy,
                                     IGM.getPointerSize(),
@@ -547,8 +545,6 @@ getFuncSignatureInfoForLowered(IRGenModule &IGM, CanSILFunctionType type) {
   case SILFunctionType::Representation::WitnessMethod:
   case SILFunctionType::Representation::ObjCMethod:
   case SILFunctionType::Representation::Closure:
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionType::Representation::TensorFlow:
     return ti.as<ThinFuncTypeInfo>();
   case SILFunctionType::Representation::Thick:
     return ti.as<FuncTypeInfo>();

lib/IRGen/GenProto.cpp

@@ -2190,8 +2190,6 @@ bool irgen::hasPolymorphicParameters(CanSILFunctionType ty) {
   case SILFunctionTypeRepresentation::Closure:
     return ty->isPolymorphic();
 
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
   case SILFunctionTypeRepresentation::CFunctionPointer:
   case SILFunctionTypeRepresentation::ObjCMethod:
     // May be polymorphic at the SIL level, but no type metadata is actually

lib/IRGen/IRGenSIL.cpp

@@ -2190,8 +2190,6 @@ Callee LoweredValue::getCallee(IRGenFunction &IGF,
       return getSwiftFunctionPointerCallee(IGF, functionValue, selfValue,
                                            std::move(calleeInfo), false);
 
-    // SWIFT_ENABLE_TENSORFLOW
-    case SILFunctionType::Representation::TensorFlow:
     case SILFunctionType::Representation::CFunctionPointer:
       assert(!selfValue && "C function pointer has self?");
       return getCFunctionPointerCallee(IGF, functionValue,
@@ -2245,8 +2243,6 @@ static CallEmission getCallEmissionForLoweredValue(IRGenSILFunction &IGF,
     break;
   }
 
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionType::Representation::TensorFlow:
   case SILFunctionType::Representation::ObjCMethod:
   case SILFunctionType::Representation::Thick:
   case SILFunctionType::Representation::Block:
@@ -2476,8 +2472,6 @@ getPartialApplicationFunction(IRGenSILFunction &IGF, SILValue v,
   case LoweredValue::Kind::FunctionPointer: {
     llvm::Value *context = nullptr;
     switch (fnType->getRepresentation()) {
-    // SWIFT_ENABLE_TENSORFLOW
-    case SILFunctionTypeRepresentation::TensorFlow:
     case SILFunctionTypeRepresentation::CFunctionPointer:
     case SILFunctionTypeRepresentation::Block:
     case SILFunctionTypeRepresentation::ObjCMethod:

lib/IRGen/MetadataRequest.cpp

@@ -2054,8 +2054,6 @@ namespace {
       case SILFunctionType::Representation::ObjCMethod:
       case SILFunctionType::Representation::CFunctionPointer:
       case SILFunctionType::Representation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-      case SILFunctionType::Representation::TensorFlow:
 
         // A thin function looks like a plain pointer.
         // FIXME: Except for extra inhabitants?
@@ -2268,8 +2266,6 @@ namespace {
       case SILFunctionType::Representation::ObjCMethod:
       case SILFunctionType::Representation::CFunctionPointer:
       case SILFunctionType::Representation::Closure:
-      // SWIFT_ENABLE_TENSORFLOW
-        case SILFunctionType::Representation::TensorFlow:
 
         // A thin function looks like a plain pointer.
         // FIXME: Except for extra inhabitants?

lib/SIL/Bridging.cpp

@@ -97,8 +97,6 @@ Type TypeConverter::getLoweredBridgedType(AbstractionPattern pattern,
                                           SILFunctionTypeRepresentation rep,
                                           BridgedTypePurpose purpose) {
   switch (rep) {
-  // SWIFT_ENABLE_TENSORFLOW
-  case SILFunctionTypeRepresentation::TensorFlow:
   case SILFunctionTypeRepresentation::Thick:
   case SILFunctionTypeRepresentation::Thin:
   case SILFunctionTypeRepresentation::Method:
@@ -189,8 +187,6 @@ Type TypeConverter::getLoweredCBridgedType(AbstractionPattern pattern,
     case SILFunctionType::Representation::ObjCMethod:
     case SILFunctionType::Representation::WitnessMethod:
     case SILFunctionType::Representation::Closure:
-    // SWIFT_ENABLE_TENSORFLOW
-    case SILFunctionTypeRepresentation::TensorFlow:
       return t;
     case SILFunctionType::Representation::Thick: {
       // Thick functions (TODO: conditionally) get bridged to blocks.

lib/SIL/OperandOwnership.cpp

@@ -1058,9 +1058,6 @@ CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, ZExtOrBitCast)
 CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, ZeroInitializer)
 CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, Swift3ImplicitObjCEntrypoint)
 CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, PoundAssert)
-// SWIFT_ENABLE_TENSORFLOW
-CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, TensorFlowSend)
-CONSTANT_OWNERSHIP_BUILTIN(Any, MustBeLive, TensorFlowReceive)
 #undef CONSTANT_OWNERSHIP_BUILTIN
 
 // Builtins that should be lowered to SIL instructions so we should never see