[FFI][RUNTIME] Introduce runtime boxed types for int/float/bool

include/tvm/ir/attrs.h

@@ -265,7 +265,16 @@ class DictAttrs : public Attrs {
 
     auto it = node->dict.find(attr_key);
     if (it != node->dict.end()) {
-      return Downcast<Optional<TObjectRef>>((*it).second);
+      // For backwards compatibility, return through TVMRetValue.
+      // This triggers any automatic conversions registered with
+      // PackedFuncValueConverter.  Importantly, this allows use of
+      // `GetAttr<Integer>` and `GetAttr<Bool>` for properties that
+      // are stored internally as `runtime::Box<int64_t>` and
+      // `runtime::Box<bool>`.
+      TVMRetValue ret;
+      ret = (*it).second;
+      Optional<TObjectRef> obj = ret;
+      return obj;
     } else {
       return default_value;
     }
@@ -315,6 +324,46 @@ inline TAttrs AttrsWithDefaultValues() {
   return TAttrs(n);
 }
 
+/*!
+ * \brief Copy the DictAttrs, but overrides attributes with the
+ * entries from \p attrs.
+ *
+ * \param attrs The DictAttrs to update
+ *
+ * \param new_attrs Key/values attributes to add to \p attrs.
+ *
+ * \returns The new DictAttrs with updated attributes.
+ */
+DictAttrs WithAttrs(DictAttrs attrs, Map<String, ObjectRef> new_attrs);
+
+/*!
+ * \brief Copy the DictAttrs, but overrides a single attribute.
+ *
+ * \param attrs The DictAttrs to update
+ *
+ * \param key The update to insert or update.
+ *
+ * \param value The new value of the attribute
+ *
+ * \returns The new DictAttrs with updated attributes.
+ */
+DictAttrs WithAttr(DictAttrs attrs, String key, ObjectRef value);
+
+inline DictAttrs WithAttr(DictAttrs attrs, const std::string& key, ObjectRef value) {
+  return WithAttr(std::move(attrs), String(key), std::move(value));
+}
+
+/*!
+ * \brief Copy the DictAttrs, but without a specific attribute.
+ *
+ * \param attrs The DictAttrs to update
+ *
+ * \param key The key to remove
+ *
+ * \returns The new DictAttrs with updated attributes.
+ */
+DictAttrs WithoutAttr(DictAttrs attrs, const std::string& key);
+
 /*!
  * \brief Copy the function or module, but overrides
  *        the attribute value key with the value.
@@ -347,12 +396,8 @@ inline TFunc WithAttr(TFunc input, const std::string& attr_key, ObjectRef attr_v
   using TNode = typename TFunc::ContainerType;
   static_assert(TNode::_type_final, "Can only operate on the leaf nodes");
   TNode* node = input.CopyOnWrite();
-  if (node->attrs.defined()) {
-    node->attrs.CopyOnWrite()->dict.Set(attr_key, attr_value);
-  } else {
-    Map<String, ObjectRef> dict = {{attr_key, attr_value}};
-    node->attrs = DictAttrs(dict);
-  }
+  node->attrs = WithAttr(std::move(node->attrs), attr_key, attr_value);
+
   return input;
 }
 
@@ -371,13 +416,9 @@ inline TFunc WithAttrs(TFunc input, Map<String, ObjectRef> attrs) {
   using TNode = typename TFunc::ContainerType;
   static_assert(TNode::_type_final, "Can only operate on the leaf nodes");
   TNode* node = input.CopyOnWrite();
-  if (node->attrs.defined()) {
-    for (const auto& pair : attrs) {
-      node->attrs.CopyOnWrite()->dict.Set(pair.first, pair.second);
-    }
-  } else {
-    node->attrs = DictAttrs(std::move(attrs));
-  }
+
+  node->attrs = WithAttrs(std::move(node->attrs), attrs);
+
   return input;
 }
 
@@ -412,10 +453,9 @@ inline TFunc WithoutAttr(TFunc input, const std::string& attr_key) {
   using TNode = typename TFunc::ContainerType;
   static_assert(TNode::_type_final, "Can only operate on the leaf nodes");
 
-  if (input->attrs.defined()) {
-    TNode* node = input.CopyOnWrite();
-    node->attrs.CopyOnWrite()->dict.erase(attr_key);
-  }
+  TNode* node = input.CopyOnWrite();
+  node->attrs = WithoutAttr(std::move(node->attrs), attr_key);
+
   return input;
 }
 

include/tvm/ir/expr.h

@@ -770,53 +770,121 @@ inline const TTypeNode* RelayExprNode::type_as() const {
 
 namespace tvm {
 namespace runtime {
-// common rule for RetValue and ArgValue
+
+// Automatic conversion into IntImm, Integer, and Bool, when called
+// through the FFI.  Automatic conversions into PrimExpr are
+// registered in "tvm/tir/expr.h", as it includes conversions to the
+// TIR-only StringImm.
+//
+// While the FFI only requires the From() method, these
+// implementations also define a TryFrom() method to avoid duplicate
+// logic in the PrimExpr conversion.
+
 template <>
-struct PackedFuncValueConverter<PrimExpr> {
-  static PrimExpr From(const TVMPODValue_& val) {
-    if (val.type_code() == kTVMNullptr) {
-      return PrimExpr(ObjectPtr<Object>(nullptr));
-    }
-    if (val.type_code() == kDLInt) {
-      int64_t value = val.operator int64_t();
-      if (value > std::numeric_limits<int>::max() || value < std::numeric_limits<int>::min()) {
-        return IntImm(runtime::DataType::Int(64), value);
-      }
-      return IntImm(runtime::DataType::Int(32), val.operator int());
-    }
-    if (val.type_code() == kDLFloat) {
-      return FloatImm(runtime::DataType::Float(32), val.operator double());
+struct PackedFuncValueConverter<tvm::IntImm> {
+  template <typename PODSubclass>
+  static Optional<tvm::IntImm> TryFrom(const PODSubclass& val) {
+    if (auto opt = val.TryAsInt()) {
+      int64_t value = opt.value();
+      auto dtype =
+          (value > std::numeric_limits<int>::max() || value < std::numeric_limits<int>::min())
+              ? DataType::Int(64)
+              : DataType::Int(32);
+      return IntImm(dtype, value);
+    } else if (auto opt = val.TryAsBool()) {
+      return IntImm(DataType::Int(32), opt.value());
+    } else {
+      return NullOpt;
     }
+  }
 
-    return PrimExpr::FromObject_(val.AsObjectRef<ObjectRef>());
+  template <typename PODSubclass>
+  static tvm::IntImm From(const PODSubclass& val) {
+    if (auto opt = TryFrom(val)) {
+      return opt.value();
+    } else {
+      return val.template AsObjectRef<tvm::IntImm>();
+    }
   }
 };
 
 template <>
 struct PackedFuncValueConverter<tvm::Integer> {
-  static tvm::Integer From(const TVMPODValue_& val) {
-    if (val.type_code() == kTVMNullptr) {
-      return Integer(ObjectPtr<Object>(nullptr));
+  template <typename PODSubclass>
+  static tvm::Integer From(const PODSubclass& val) {
+    if (auto opt = PackedFuncValueConverter<tvm::IntImm>::TryFrom(val)) {
+      return Integer(opt.value());
+    } else {
+      return val.template AsObjectRef<tvm::Integer>();
     }
-    if (val.type_code() == kTVMArgInt) {
-      return Integer(val.operator int());
-    }
-    return val.AsObjectRef<tvm::Integer>();
   }
 };
 
 template <>
 struct PackedFuncValueConverter<tvm::Bool> {
-  static tvm::Bool From(const TVMPODValue_& val) {
-    if (val.type_code() == kTVMNullptr) {
-      return Bool(ObjectPtr<Object>(nullptr));
+  template <typename PODSubclass>
+  static Optional<tvm::Bool> TryFrom(const PODSubclass& val) {
+    if (auto opt = val.TryAsBool()) {
+      return tvm::Bool(opt.value());
+    } else if (auto opt = val.TryAsInt()) {
+      int value = opt.value();
+      ICHECK(value == 0 || value == 1)
+          << "ValueError: boolean value can only be 0 or 1, but get " << value;
+      return tvm::Bool(static_cast<bool>(value));
+    } else {
+      return NullOpt;
+    }
+  }
+
+  template <typename PODSubclass>
+  static tvm::Bool From(const PODSubclass& val) {
+    if (auto opt = TryFrom(val)) {
+      return opt.value();
+    } else {
+      return val.template AsObjectRef<tvm::Bool>();
     }
-    if (val.type_code() == kTVMArgInt) {
-      int v = val.operator int();
-      ICHECK(v == 0 || v == 1) << "ValueError: boolean value can only be 0 or 1, but get " << v;
-      return Bool(static_cast<bool>(v));
+  }
+};
+
+template <>
+struct PackedFuncValueConverter<tvm::FloatImm> {
+  static Optional<tvm::FloatImm> TryFrom(const TVMPODValue_& val) {
+    if (auto opt = val.TryAsFloat()) {
+      return FloatImm(runtime::DataType::Float(32), opt.value());
+    } else {
+      return NullOpt;
+    }
+  }
+
+  template <typename PODSubclass>
+  static tvm::FloatImm From(const PODSubclass& val) {
+    if (auto opt = TryFrom(val)) {
+      return opt.value();
+    } else {
+      return val.template AsObjectRef<tvm::FloatImm>();
+    }
+  }
+};
+
+/* \brief Backwards compatibility wrapper for IntImm arguments
+ *
+ * In previous versions of TVM, IntImm was the default FFI type for
+ * integer arguments, instead of runtime::Int.  For backwards
+ * compatibility where the callee has been updated to expected a
+ * runtime::Int, the caller has not been updated to provide a
+ * runtime::Int (e.g. relay script parsing), and the auto-unboxing of
+ * runtime::Int does not apply (e.g. making an `Array<runtime::Int>`),
+ * allow the IntImm to be generated.
+ */
+template <>
+struct PackedFuncValueConverter<runtime::Int> {
+  template <typename PODSubclass>
+  static runtime::Int From(const PODSubclass& val) {
+    if (val.template IsObjectRef<tvm::IntImm>()) {
+      return runtime::Int(val.template AsObjectRef<tvm::IntImm>()->value);
+    } else {
+      return val.template AsObjectRef<runtime::Int>();
     }
-    return val.AsObjectRef<tvm::Bool>();
   }
 };
 

include/tvm/ir/transform.h

@@ -271,7 +271,36 @@ class PassContext : public ObjectRef {
     using ValueNodeType = typename ValueType::ContainerType;
     // NOTE: we could further update the function later.
     uint32_t tindex = ValueNodeType::_GetOrAllocRuntimeTypeIndex();
-    RegisterConfigOption(key, tindex);
+    auto type_key = runtime::Object::TypeIndex2Key(tindex);
+
+    auto* reflection = ReflectionVTable::Global();
+
+    auto legalization = [=](ObjectRef obj) -> ObjectRef {
+      if (obj->IsInstance<Map<String, ObjectRef>::ContainerType>()) {
+        return reflection->CreateObject(type_key, Downcast<Map<String, ObjectRef>>(obj));
+      } else {
+        // Backwards compatibility for config options defined prior to
+        // https://github.com/apache/tvm/pull/16183.  This commit
+        // changed the default FFI conversion of python integers from
+        // `tvm::IntImm` to `runtime::Int`.
+        //
+        // This backwards compatibility fix can be removed when all
+        // options registered with TVM_REGISTER_PASS_CONFIG_OPTION are
+        // updated to use `runtime::Int` and `runtime::Bool`.
+        TVMRetValue ret;
+        ret = obj;
+        try {
+          ValueType legalized = ret;
+          return legalized;
+        } catch (Error& err) {
+          LOG(FATAL) << "AttributeError: expect config " << key << " to have type " << type_key
+                     << ", but received error when converting to this type.\n"
+                     << err.what();
+        }
+      }
+    };
+
+    RegisterConfigOption(key, tindex, legalization);
     return tindex;
   }
 
@@ -285,7 +314,8 @@ class PassContext : public ObjectRef {
   // The exit of a pass context scope.
   TVM_DLL void ExitWithScope();
   // Register configuration key value type.
-  TVM_DLL static void RegisterConfigOption(const char* key, uint32_t value_type_index);
+  TVM_DLL static void RegisterConfigOption(const char* key, uint32_t value_type_index,
+                                           std::function<ObjectRef(ObjectRef)> legalization);
 
   // Classes to get the Python `with` like syntax.
   friend class Internal;

include/tvm/meta_schedule/schedule_rule.h

@@ -241,7 +241,7 @@ class ScheduleRule : public runtime::ObjectRef {
    * \param thread_extents Candidates of thread axis extent (values are required to be positive).
    * \return The schedule rule created
    */
-  TVM_DLL static ScheduleRule CrossThreadReduction(Array<Integer> thread_extents);
+  TVM_DLL static ScheduleRule CrossThreadReduction(Array<runtime::Int> thread_extents);
   /*!
    * \brief A rule that randomly select a compute-at location for a free block
    * \return The schedule rule created
@@ -260,9 +260,9 @@ class ScheduleRule : public runtime::ObjectRef {
    * \param unroll_explicit Whether to explicitly unroll the loop, or just add an "unroll" pragma.
    * \return The schedule rule created
    */
-  TVM_DLL static ScheduleRule ParallelizeVectorizeUnroll(int max_jobs_per_core,            //
-                                                         int max_vectorize_extent,         //
-                                                         Array<Integer> unroll_max_steps,  //
+  TVM_DLL static ScheduleRule ParallelizeVectorizeUnroll(int max_jobs_per_core,                 //
+                                                         int max_vectorize_extent,              //
+                                                         Array<runtime::Int> unroll_max_steps,  //
                                                          bool unroll_explicit);
   /*!
    * \brief Auto bind loops around the block to BlockIdx and ThreadIdx

include/tvm/relay/attrs/transform.h

@@ -325,7 +325,7 @@ struct SqueezeAttrs : public tvm::AttrsNode<SqueezeAttrs> {
 };  // struct SqueezeAttrs
 
 struct SplitAttrs : public tvm::AttrsNode<SplitAttrs> {
-  ObjectRef indices_or_sections;
+  Variant<runtime::Int, Array<runtime::Int>> indices_or_sections;
   int axis;
 
   TVM_DECLARE_ATTRS(SplitAttrs, "relay.attrs.SplitAttrs") {

include/tvm/runtime/c_runtime_api.h

@@ -81,6 +81,7 @@
 #ifdef __cplusplus
 extern "C" {
 #endif
+#include <stdbool.h>
 #include <stddef.h>
 #include <stdint.h>
 
@@ -186,11 +187,12 @@ typedef enum {
   kTVMBytes = 12U,
   kTVMNDArrayHandle = 13U,
   kTVMObjectRValueRefArg = 14U,
+  kTVMArgBool = 15U,
   // Extension codes for other frameworks to integrate TVM PackedFunc.
   // To make sure each framework's id do not conflict, use first and
   // last sections to mark ranges.
   // Open an issue at the repo if you need a section of code.
-  kTVMExtBegin = 15U,
+  kTVMExtBegin = 16U,
   kTVMNNVMFirst = 16U,
   kTVMNNVMLast = 20U,
   // The following section of code is used for non-reserved types.
@@ -207,6 +209,7 @@ typedef DLTensor* TVMArrayHandle;
  */
 typedef union {
   int64_t v_int64;
+  bool v_bool;
   double v_float64;
   void* v_handle;
   const char* v_str;