[TF] Remove legacy dead code from TensorFlow. (#24719)

Author: rxwei

include/swift/AST/KnownProtocols.def

@@ -85,7 +85,6 @@ PROTOCOL(TensorArrayProtocol)
 PROTOCOL(TensorGroup)
 PROTOCOL_(TensorFlowDataTypeCompatible)
 PROTOCOL(TensorProtocol)
-PROTOCOL(TensorSendableReceivable)
 PROTOCOL(VectorNumeric)
 // TODO(TF-213): Remove underscore `Differentiable` protocols.
 PROTOCOL(__Differentiable)

lib/AST/ASTContext.cpp

@@ -946,7 +946,6 @@ ProtocolDecl *ASTContext::getProtocol(KnownProtocolKind kind) const {
   case KnownProtocolKind::TensorArrayProtocol:
   case KnownProtocolKind::TensorGroup:
   case KnownProtocolKind::TensorFlowDataTypeCompatible:
-  case KnownProtocolKind::TensorSendableReceivable:
   case KnownProtocolKind::TensorProtocol:
     M = getLoadedModule(Id_TensorFlow);
     break;

lib/IRGen/GenMeta.cpp

@@ -4192,7 +4192,6 @@ SpecialProtocol irgen::getSpecialProtocolID(ProtocolDecl *P) {
   case KnownProtocolKind::TensorGroup:
   case KnownProtocolKind::TensorFlowDataTypeCompatible:
   case KnownProtocolKind::TensorProtocol:
-  case KnownProtocolKind::TensorSendableReceivable:
   case KnownProtocolKind::VectorNumeric:
   // TODO(TF-213): Remove underscore `Differentiable` protocols.
   case KnownProtocolKind::__Differentiable:

stdlib/public/TensorFlow/ArrayOps.swift

@@ -32,7 +32,7 @@ public extension Raw {
   ///   - shape_and_slices: shape {N}.  The slice specs of the tensors to be saved.
   ///     Empty strings indicate that they are non-partitioned tensors.
   ///   - tensors: `N` tensors to save.
-  @inlinable @inline(__always)
+  @inlinable
   static func saveV2(
     prefix: StringTensor,
     tensorNames: StringTensor,
@@ -78,7 +78,7 @@ public extension Raw {
   ///
   /// - Output tensors: shape {N}.  The restored tensors, whose shapes are read from the
   ///   checkpoint directly.
-  @inlinable @inline(__always)
+  @inlinable
   static func restoreV2(
     prefix: StringTensor,
     tensorNames: StringTensor,

stdlib/public/TensorFlow/DataTypes.swift

@@ -78,24 +78,6 @@ public protocol _TensorFlowDataTypeCompatible {
   /// The underlying TensorFlow data type.
   @inlinable
   static var tensorFlowDataType: TensorDataType { get }
-
-  // Hooks used by the TFPartition pass for primitive operations on tensors.
-  // These should not be called directly or implemented.
-
-  /// This converts a TensorHandle that is known to have a 0d value into
-  /// the scalar that it produces.  Users should call the _TFGetScalarOrDie
-  /// wrapper function.
-  static func _getScalarOrDie(_ handle: TensorHandle<Self>) -> Self
-
-  /// This converts a TensorHandle into a scalar if it is 0d, or returns nil
-  /// otherwise.  Users should call the _TFGetScalar wrapper function.
-  static func _getScalar(_ handle: TensorHandle<Self>) -> Self?
-
-  /// This indicates that it is safe to hoist the specified computation that
-  /// creates a tensor to being a parameter that is passed in from outside of
-  /// the tensor program.
-  static func _hoistableClosure(_ fn: () -> TensorHandle<Self>)
-    -> TensorHandle<Self>
 }
 
 /// A scalar data type compatible with TensorFlow.
@@ -125,206 +107,67 @@ public protocol TensorFlowFloatingPoint :
 extension Float : TensorFlowFloatingPoint {}
 extension Double : TensorFlowFloatingPoint {}
 
-// This is the implementation of the _getScalarOrDie requirement for each
-// concrete type below.  We use this round-about approach to implement the
-// global _TFGetScalarOrDie function in order to ensure that the noinline
-// SIL functions below have non-generic type signatures.  This is important for
-// the inner workings of the partitioning pass.
-private func _TFGetScalarOrDieImpl<Scalar>(
-  _ handle: TensorHandle<Scalar>
-) -> Scalar {
-  return handle.makeHostCopy().scalar!
-}
-
-// This is the implementation of the _getScalar requirement for each concrete
-// type below.  We use this round-about approach to implement the
-// global _TFGetScalar function in order to ensure that the noinline
-// SIL functions below have non-generic type signatures.  This is important for
-// the inner workings of the partitioning pass.
-private func _TFGetScalarImpl<Scalar>(
-  _ handle: TensorHandle<Scalar>
-) -> Scalar? {
-  return handle.makeHostCopy().scalar
-}
-
 extension Bool : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_BOOL)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Bool") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Bool>) -> Bool {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Bool") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Bool>) -> Bool? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Bool") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Bool>)
-    -> TensorHandle<Bool> {
-    return fn()
-  }
 }
 
 extension Int8 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_INT8)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Int8") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Int8>) -> Int8 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Int8") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Int8>) -> Int8? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Int8") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Int8>)
-    -> TensorHandle<Int8> {
-    return fn()
-  }
 }
 
 extension UInt8 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_UINT8)
   }
-  @_silgen_name("__tf_get_scalar_or_die_UInt8") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<UInt8>) -> UInt8 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_UInt8") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<UInt8>) -> UInt8? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_UInt8") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<UInt8>)
-    -> TensorHandle<UInt8> {
-    return fn()
-  }
 }
 
 extension Int16 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_INT16)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Int16") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Int16>) -> Int16 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Int16") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Int16>) -> Int16? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Int16") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Int16>)
-    -> TensorHandle<Int16> {
-    return fn()
-  }
 }
 
 extension UInt16 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_UINT16)
   }
-  @_silgen_name("__tf_get_scalar_or_die_UInt16") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<UInt16>) -> UInt16 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_UInt16") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<UInt16>) -> UInt16? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_UInt16") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<UInt16>)
-    -> TensorHandle<UInt16> {
-    return fn()
-  }
 }
 
 extension Int32 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_INT32)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Int32") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Int32>) -> Int32 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Int32") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Int32>) -> Int32? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Int32") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Int32>)
-    -> TensorHandle<Int32> {
-    return fn()
-  }
 }
 
 extension UInt32 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_UINT32)
   }
-  @_silgen_name("__tf_get_scalar_or_die_UInt32") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<UInt32>) -> UInt32 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_UInt32") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<UInt32>) -> UInt32? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_UInt32") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<UInt32>)
-    -> TensorHandle<UInt32> {
-    return fn()
-  }
 }
 
 extension Int64 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_INT64)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Int64") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Int64>) -> Int64 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Int64") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Int64>) -> Int64? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Int64") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Int64>)
-    -> TensorHandle<Int64> {
-    return fn()
-  }
 }
 
 extension UInt64 : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_UINT64)
   }
-  @_silgen_name("__tf_get_scalar_or_die_UInt64") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<UInt64>) -> UInt64 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_UInt64") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<UInt64>) -> UInt64? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_UInt64") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<UInt64>)
-    -> TensorHandle<UInt64> {
-    return fn()
-  }
 }
 
 @_fixed_layout
@@ -338,80 +181,25 @@ extension BFloat16 : TensorFlowScalar {
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_BFLOAT16)
   }
-  @_silgen_name("__tf_get_scalar_or_die_BFloat16") @inline(never)
-  public static func _getScalarOrDie
-    (_ handle: TensorHandle<BFloat16>
-  ) -> BFloat16 {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_BFloat16") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<BFloat16>) -> BFloat16? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_BFloat16") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(
-    _ fn: () -> TensorHandle<BFloat16>
-  ) -> TensorHandle<BFloat16> {
-    return fn()
-  }
 }
 
 extension Float : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_FLOAT)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Float") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Float>) -> Float {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Float") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Float>) -> Float? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Float") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Float>)
-    -> TensorHandle<Float> {
-    return fn()
-  }
 }
 
 extension Double : TensorFlowScalar {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_DOUBLE)
   }
-  @_silgen_name("__tf_get_scalar_or_die_Double") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<Double>) -> Double {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_Double") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<Double>) -> Double? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_Double") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<Double>)
-    -> TensorHandle<Double> {
-    return fn()
-  }
 }
 
 extension String : _TensorFlowDataTypeCompatible {
   @inlinable
   public static var tensorFlowDataType: TensorDataType {
     return TensorDataType(TF_STRING)
   }
-  @_silgen_name("__tf_get_scalar_or_die_String") @inline(never)
-  public static func _getScalarOrDie(_ handle: TensorHandle<String>) -> String {
-    return _TFGetScalarOrDieImpl(handle)
-  }
-  @_silgen_name("__tf_get_scalar_String") @inline(never)
-  public static func _getScalar(_ handle: TensorHandle<String>) -> String? {
-    return _TFGetScalarImpl(handle)
-  }
-  @_silgen_name("__tf_hoistable_String") @_optimize(none) @inline(never)
-  public static func _hoistableClosure(_ fn: () -> TensorHandle<String>)
-    -> TensorHandle<String> {
-    return fn()
-  }
 }