[RefBackend] Rename Npcomprt dialect to Refbackrt.

include/npcomp/Dialect/CMakeLists.txt

@@ -1,8 +1,8 @@
 add_subdirectory(ATen)
 add_subdirectory(Basicpy)
-add_subdirectory(Npcomprt)
 add_subdirectory(Numpy)
 add_subdirectory(RefBackend)
+add_subdirectory(Refbackrt)
 add_subdirectory(TCF)
 add_subdirectory(TCP)
 add_subdirectory(Torch)

include/npcomp/Dialect/Npcomprt/IR/CMakeLists.txt

@@ -1 +0,0 @@
-add_mlir_dialect(NpcomprtOps npcomprt)

include/npcomp/Dialect/Refbackrt/IR/CMakeLists.txt

@@ -0,0 +1 @@
+add_mlir_dialect(RefbackrtOps refbackrt)

include/npcomp/Dialect/Refbackrt/IR/RefbackrtBase.td

@@ -6,31 +6,31 @@
 //
 //===----------------------------------------------------------------------===//
 
-#ifndef NPCOMPRT_BASE
+#ifndef REFBACKRT_BASE
-#define NPCOMPRT_BASE
+#define REFBACKRT_BASE
 
 include "mlir/IR/OpBase.td"
 
-def Npcomprt_Dialect : Dialect {
+def Refbackrt_Dialect : Dialect {
-  let name = "npcomprt";
+  let name = "refbackrt";
-  let cppNamespace = "::mlir::NPCOMP::npcomprt";
+  let cppNamespace = "::mlir::NPCOMP::refbackrt";
   let description = [{
-The `npcomprt` dialect is the IR manifestation for interaction with the
+The `refbackrt` dialect is the IR manifestation for interaction with the
-npcomp runtime. It primarily serves as a layer that enapsulates the data
+reference backend runtime. It primarily serves as a layer that enapsulates the
-structures and functions available in the runtime, and faciliates
+data structures and functions available in the runtime, and faciliates
 conversion to those conventions, such as by providing utilities for being
 lowered to the llvm dialect.
   }];
 }
 
-def Npcomprt_Tensor
+def Refbackrt_Tensor
     : DialectType<
-          Npcomprt_Dialect,
+          Refbackrt_Dialect,
-          CPred<"$_self.isa<::mlir::NPCOMP::npcomprt::TensorType>()">,
+          CPred<"$_self.isa<::mlir::NPCOMP::refbackrt::TensorType>()">,
-          "npcomprt.tensor">,
+          "refbackrt.tensor">,
       BuildableType<
-          "$_builder.getType<::mlir::NPCOMP::npcomprt::TensorType>()"> {
+          "$_builder.getType<::mlir::NPCOMP::refbackrt::TensorType>()"> {
   let typeDescription = [{The runtime type that represents a buffer.}];
 }
 
-#endif // #ifndef NPCOMPRT_BASE
+#endif // #ifndef REFBACKRT_BASE

include/npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h

@@ -6,14 +6,14 @@
 //
 //===----------------------------------------------------------------------===//
 
-#ifndef NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTDIALECT_H
+#ifndef NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTDIALECT_H
-#define NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTDIALECT_H
+#define NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTDIALECT_H
 
 #include "mlir/IR/Dialect.h"
 
 namespace mlir {
 namespace NPCOMP {
-namespace npcomprt {
+namespace refbackrt {
 
 class TensorType : public Type::TypeBase<TensorType, Type, TypeStorage> {
 public:
@@ -22,10 +22,10 @@ public:
   static TensorType get(MLIRContext *context) { return Base::get(context); }
 };
 
-} // namespace npcomprt
+} // namespace refbackrt
 } // namespace NPCOMP
 } // namespace mlir
 
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOpsDialect.h.inc"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOpsDialect.h.inc"
 
-#endif // NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTDIALECT_H
+#endif // NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTDIALECT_H

include/npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h

@@ -6,8 +6,8 @@
 //
 //===----------------------------------------------------------------------===//
 
-#ifndef NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTOPS_H
+#ifndef NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTOPS_H
-#define NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTOPS_H
+#define NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTOPS_H
 
 #include "mlir/IR/OpDefinition.h"
 #include "mlir/IR/OpImplementation.h"
@@ -15,6 +15,6 @@
 #include "mlir/IR/SymbolTable.h"
 
 #define GET_OP_CLASSES
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.h.inc"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h.inc"
 
-#endif // NPCOMP_DIALECT_NPCOMPRT_IR_NPCOMPRTOPS_H
+#endif // NPCOMP_DIALECT_REFBACKRT_IR_REFBACKRTOPS_H

include/npcomp/Dialect/Refbackrt/IR/RefbackrtOps.td

@@ -6,37 +6,37 @@
 //
 //===----------------------------------------------------------------------===//
 
-#ifndef NPCOMPRT_OPS
+#ifndef REFBACKRT_OPS
-#define NPCOMPRT_OPS
+#define REFBACKRT_OPS
 
-include "npcomp/Dialect/Npcomprt/IR/NpcomprtBase.td"
+include "npcomp/Dialect/Refbackrt/IR/RefbackrtBase.td"
 include "mlir/IR/SymbolInterfaces.td"
 
-class Npcomprt_Op<string mnemonic, list<OpTrait> traits = []>
+class Refbackrt_Op<string mnemonic, list<OpTrait> traits = []>
-    : Op<Npcomprt_Dialect, mnemonic, traits> {
+    : Op<Refbackrt_Dialect, mnemonic, traits> {
 }
 
-def Npcomprt_ToMemrefOp : Npcomprt_Op<"to_memref"> {
+def Refbackrt_ToMemrefOp : Refbackrt_Op<"to_memref"> {
   let summary = "Gets a memref descriptor from a tensor";
   let description = [{
     Gets a memref descriptor from a tensor.
   }];
-  let arguments = (ins Npcomprt_Tensor:$tensor);
+  let arguments = (ins Refbackrt_Tensor:$tensor);
   let results = (outs AnyUnrankedMemRef:$memref);
   let assemblyFormat = "$tensor attr-dict `:` type($memref)";
 }
 
-def Npcomprt_FromMemrefOp : Npcomprt_Op<"from_memref"> {
+def Refbackrt_FromMemrefOp : Refbackrt_Op<"from_memref"> {
   let summary = "Converts a memref descriptor to a tensor";
   let description = [{
     Copies the data from a memref into a new tensor.
   }];
   let arguments = (ins AnyUnrankedMemRef:$memref);
-  let results = (outs Npcomprt_Tensor:$tensor);
+  let results = (outs Refbackrt_Tensor:$tensor);
   let assemblyFormat = "$memref attr-dict `:` type($memref)";
 }
 
-def Npcomprt_AbortIfOp : Npcomprt_Op<"abort_if"> {
+def Refbackrt_AbortIfOp : Refbackrt_Op<"abort_if"> {
   let summary = "Aborts if the predicate is true";
   let description = [{
     Aborts if the predicate is true.
@@ -46,7 +46,7 @@ def Npcomprt_AbortIfOp : Npcomprt_Op<"abort_if"> {
   let assemblyFormat = "$pred `,` $msg attr-dict";
 }
 
-def Npcomprt_GlobalOp : Npcomprt_Op<"global", [Symbol]> {
+def Refbackrt_GlobalOp : Refbackrt_Op<"global", [Symbol]> {
   let summary = "Represents a global variable";
   let description = [{
     Represents a global variable.
@@ -61,19 +61,19 @@ def Npcomprt_GlobalOp : Npcomprt_Op<"global", [Symbol]> {
   let parser = [{ return ::parse$cppClass(parser, result); }];
 }
 
-def Npcomprt_GetGlobalOp : Npcomprt_Op<"get_global"> {
+def Refbackrt_GetGlobalOp : Refbackrt_Op<"get_global"> {
   let summary = "Obtain a rank-erased memref pointing at the given global";
   let description = [{
     Obtain a rank-erased memref pointing at the given global.
 
     TODO: As we define the runtime layer better, we should have fewer
     entry points that return memrefs, or at least have a clearer separation
-    between the "memref world" and the "npcomprt world".
+    between the "memref world" and the "refbackrt world".
     Something like forming IREE dispatch regions seems to be the missing thing:
     - Everything inside the dispatch regions gets things marshaled from the
-      runtime (flow/hal/npcomprt) layer to/from memrefs in a clear way.
+      runtime (flow/hal/refbackrt) layer to/from memrefs in a clear way.
     - Everything outside the dispatch regions purely uses the runtime
-      (flow/hal/npcomprt) data structures.
+      (flow/hal/refbackrt) data structures.
     Globals should be one of the things that are purely runtime data structures,
     rather than using memrefs. For now, using memrefs is simpler though.
   }];
@@ -83,12 +83,12 @@ def Npcomprt_GetGlobalOp : Npcomprt_Op<"get_global"> {
   let verifier = "return ::verify$cppClass(*this);";
 }
 
-def Npcomprt_ModuleMetadataOp : Npcomprt_Op<"module_metadata", [
+def Refbackrt_ModuleMetadataOp : Refbackrt_Op<"module_metadata", [
   SingleBlockImplicitTerminator<"ModuleMetadataTerminatorOp">
 ]> {
   let summary = "Global metadata for the module";
   let description = [{
-    This op contains a region containing npcomprt.func_metadata ops,
+    This op contains a region containing refbackrt.func_metadata ops,
     which give information about the functions in the module. This allows
     the module to be introspected when it is loaded, such as looking up
     functions.
@@ -110,8 +110,8 @@ def Npcomprt_ModuleMetadataOp : Npcomprt_Op<"module_metadata", [
   let parser = [{ return ::parse$cppClass(parser, result); }];
 }
 
-def Npcomprt_ModuleMetadataTerminatorOp
+def Refbackrt_ModuleMetadataTerminatorOp
-    : Npcomprt_Op<"module_metadata_terminator",
+    : Refbackrt_Op<"module_metadata_terminator",
                   [Terminator, HasParent<"ModuleMetadataOp">]> {
   let summary = "Implicit terminator for ModuleMetadataOp's region";
   let arguments = (ins);
@@ -119,8 +119,8 @@ def Npcomprt_ModuleMetadataTerminatorOp
   let assemblyFormat = "attr-dict";
 }
 
-def Npcomprt_FuncMetadataOp
+def Refbackrt_FuncMetadataOp
-    : Npcomprt_Op<"func_metadata", [HasParent<"ModuleMetadataOp">]> {
+    : Refbackrt_Op<"func_metadata", [HasParent<"ModuleMetadataOp">]> {
   let summary = "Runtime metadata for a single func";
   let description = [{
     Runtime metadata for a single func.
@@ -138,4 +138,4 @@ def Npcomprt_FuncMetadataOp
   let verifier = [{ return ::verify(*this); }];
 }
 
-#endif // #ifndef NPCOMPRT_OPS
+#endif // #ifndef REFBACKRT_OPS

include/npcomp/RefBackend/JITHelpers/JITModule.h

@@ -24,7 +24,7 @@ class PassManager;
 } // namespace mlir
 
 namespace npcomp {
-// Wrapper around npcomprt data structures and a JITted module, facilitating
+// Wrapper around refbackrt data structures and a JITted module, facilitating
 // interaction.
 class JITModule {
 public:
@@ -40,14 +40,14 @@ public:
   fromCompiledModule(mlir::ModuleOp module,
                      llvm::ArrayRef<llvm::StringRef> sharedLibs);
 
-  llvm::Expected<llvm::SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6>>
+  llvm::Expected<llvm::SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6>>
   invoke(llvm::StringRef functionName,
-         llvm::ArrayRef<npcomprt::Ref<npcomprt::Tensor>> inputs);
+         llvm::ArrayRef<refbackrt::Ref<refbackrt::Tensor>> inputs);
 
 private:
   JITModule();
   std::unique_ptr<mlir::ExecutionEngine> engine;
-  npcomprt::ModuleDescriptor *descriptor;
+  refbackrt::ModuleDescriptor *descriptor;
 };
 } // namespace npcomp
 

include/npcomp/RefBackend/Passes.td

@@ -52,10 +52,10 @@ def LowerStructuralToMemref :
   let constructor = "mlir::NPCOMP::createLowerStructuralToMemrefPass()";
 }
 
-def LowerToNpcomprtABI : Pass<"lower-to-npcomprt-abi", "ModuleOp"> {
+def LowerToRefbackrtABI : Pass<"lower-to-refbackrt-abi", "ModuleOp"> {
-  let summary = "Lower constructs requiring runtime support to `npcomprt`";
+  let summary = "Lower constructs requiring runtime support to `refbackrt`";
   let description = [{
-    We have a specialized dialect `npcomprt` which models our runtime's data
+    We have a specialized dialect `refbackrt` which models our runtime's data
     structures, and function signatures (and presumably eventually, other
     ABI boundaries like external calls if we ever support it) will be
     converted.
@@ -65,7 +65,7 @@ def LowerToNpcomprtABI : Pass<"lower-to-npcomprt-abi", "ModuleOp"> {
     - globals
     - error handling
   }];
-  let constructor = "mlir::NPCOMP::createLowerToNpcomprtABIPass()";
+  let constructor = "mlir::NPCOMP::createLowerToRefbackrtABIPass()";
 }
 
 def LowerAllocMemRefOps : Pass<"lower-alloc-memref-ops", "FuncOp"> {

include/npcomp/RefBackend/RefBackend.h

@@ -34,7 +34,7 @@ createLowerConstantTensorsToMemrefPass();
 
 std::unique_ptr<OperationPass<FuncOp>> createLowerStructuralToMemrefPass();
 
-std::unique_ptr<OperationPass<ModuleOp>> createLowerToNpcomprtABIPass();
+std::unique_ptr<OperationPass<ModuleOp>> createLowerToRefbackrtABIPass();
 
 std::unique_ptr<OperationPass<FuncOp>> createLowerAllocMemRefOpsPass();
 

include/npcomp/RefBackend/Runtime/README.md

@@ -1,4 +1,4 @@
-RefBackendRt (namespace `refbackrt`) is the runtime support library for the
+Refbackrt (namespace `refbackrt`) is the runtime support library for the
 RefBackend backend.  It is best practice to keep compiler and runtime code
 totally firewalled.
 

include/npcomp/RefBackend/Runtime/Support.h

@@ -19,7 +19,7 @@
 #include <cstdint>
 #include <cstring>
 
-namespace npcomprt {
+namespace refbackrt {
 class StringRef {
 public:
   StringRef(const char *ptr, std::size_t length) : ptr(ptr), length(length){};
@@ -94,6 +94,6 @@ inline bool failed(LogicalResult result) {
   return result.value == LogicalResult::Failure;
 }
 
-} // namespace npcomprt
+} // namespace refbackrt
 
 #endif // NPCOMP_RUNTIME_SUPPORT_H

include/npcomp/RefBackend/Runtime/UserAPI.h

@@ -25,7 +25,7 @@
 #include <atomic>
 #include <cstdlib>
 
-namespace npcomprt {
+namespace refbackrt {
 
 // Reference-counted handle to a type with a `refCount` member.
 template <typename T> class Ref {
@@ -178,6 +178,6 @@ LogicalResult getMetadata(ModuleDescriptor *moduleDescriptor,
                           StringRef functionName,
                           FunctionMetadata &outMetadata);
 
-} // namespace npcomprt
+} // namespace refbackrt
 
 #endif // NPCOMP_RUNTIME_USERAPI_H

lib/Backend/RefJIT/PythonModule.cpp

@@ -22,8 +22,8 @@ using llvm::Twine;
 using mlir::PyModuleOp;
 using mlir::PyPassManager;
 using npcomp::JITModule;
-using npcomprt::Ref;
+using refbackrt::Ref;
-using npcomprt::Tensor;
+using refbackrt::Tensor;
 
 template <typename T>
 static T checkError(llvm::Expected<T> &&expected, Twine banner = {}) {
@@ -37,10 +37,10 @@ static T checkError(llvm::Expected<T> &&expected, Twine banner = {}) {
   throw py::raisePyError(PyExc_RuntimeError, errorMessage.c_str());
 }
 
-static npcomprt::ElementType
+static refbackrt::ElementType
 mapBufferFormatToElementType(const std::string &format, py::ssize_t itemSize) {
   if (format == "f")
-    return npcomprt::ElementType::F32;
+    return refbackrt::ElementType::F32;
 
   std::string message("unsupported buffer format: ");
   message.append(format);
@@ -61,7 +61,7 @@ static Ref<Tensor> copyBufferToTensor(py::buffer buffer) {
   // TODO: Switch Tensor extents to ssize_t for efficiency.
   SmallVector<std::int32_t, 4> extents(info.shape.begin(), info.shape.end());
   return Tensor::create(
-      npcomprt::ArrayRef<std::int32_t>(extents.data(), extents.size()),
+      refbackrt::ArrayRef<std::int32_t>(extents.data(), extents.size()),
       elementType, info.ptr);
 }
 
@@ -73,7 +73,7 @@ py::array wrapTensorAsArray(Ref<Tensor> tensor) {
 
   const char *format;
   switch (tensor->getElementType()) {
-  case npcomprt::ElementType::F32:
+  case refbackrt::ElementType::F32:
     format = "f";
     break;
   default:

lib/CMakeLists.txt

@@ -43,7 +43,7 @@ add_mlir_library(NPCOMPInitAll
   NPCOMPTCPDialect
   NPCOMPTCFDialect
   NPCOMPTorchDialect
-  NPCOMPNpcomprtDialect
+  NPCOMPRefbackrtDialect
   NPCOMPATenDialect
   NPCOMPBasicpyDialect
   NPCOMPBasicpyPasses

lib/Dialect/CMakeLists.txt

@@ -1,8 +1,8 @@
 add_subdirectory(ATen)
 add_subdirectory(Basicpy)
-add_subdirectory(Npcomprt)
 add_subdirectory(Numpy)
 add_subdirectory(RefBackend)
+add_subdirectory(Refbackrt)
 add_subdirectory(TCF)
 add_subdirectory(TCP)
 add_subdirectory(Torch)

lib/Dialect/Npcomprt/IR/CMakeLists.txt

@@ -1,17 +0,0 @@
-add_mlir_dialect_library(NPCOMPNpcomprtDialect
-  NpcomprtDialect.cpp
-  NpcomprtOps.cpp
-
-  ADDITIONAL_HEADER_DIRS
-  ${PROJECT_SOURCE_DIR}/include/npcomp/Dialect/Npcomprt
-
-  DEPENDS
-  MLIRNpcomprtOpsIncGen
-
-  LINK_COMPONENTS
-  Core
-
-  LINK_LIBS PUBLIC
-  MLIRIR
-  MLIRSupport
-)

lib/Dialect/Refbackrt/IR/CMakeLists.txt

@@ -0,0 +1,17 @@
+add_mlir_dialect_library(NPCOMPRefbackrtDialect
+  RefbackrtDialect.cpp
+  RefbackrtOps.cpp
+
+  ADDITIONAL_HEADER_DIRS
+  ${PROJECT_SOURCE_DIR}/include/npcomp/Dialect/Refbackrt
+
+  DEPENDS
+  MLIRRefbackrtOpsIncGen
+
+  LINK_COMPONENTS
+  Core
+
+  LINK_LIBS PUBLIC
+  MLIRIR
+  MLIRSupport
+)

lib/Dialect/Refbackrt/IR/RefbackrtDialect.cpp

@@ -6,23 +6,23 @@
 //
 //===----------------------------------------------------------------------===//
 
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtDialect.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h"
 #include "mlir/IR/DialectImplementation.h"
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h"
 #include "llvm/ADT/TypeSwitch.h"
 
 using namespace mlir;
-using namespace mlir::NPCOMP::npcomprt;
+using namespace mlir::NPCOMP::refbackrt;
 
-void NpcomprtDialect::initialize() {
+void RefbackrtDialect::initialize() {
   addOperations<
 #define GET_OP_LIST
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.cpp.inc"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.cpp.inc"
       >();
   addTypes<TensorType>();
 }
 
-Type NpcomprtDialect::parseType(DialectAsmParser &parser) const {
+Type RefbackrtDialect::parseType(DialectAsmParser &parser) const {
   StringRef keyword;
   if (parser.parseKeyword(&keyword))
     return Type();
@@ -30,14 +30,14 @@ Type NpcomprtDialect::parseType(DialectAsmParser &parser) const {
   if (keyword == "tensor")
     return TensorType::get(getContext());
 
-  parser.emitError(parser.getNameLoc(), "unknown type in 'npcomprt' dialect: ")
+  parser.emitError(parser.getNameLoc(), "unknown type in 'refbackrt' dialect: ")
       << keyword;
   return Type();
 }
 
-void NpcomprtDialect::printType(Type type, DialectAsmPrinter &os) const {
+void RefbackrtDialect::printType(Type type, DialectAsmPrinter &os) const {
   TypeSwitch<Type>(type)
-      .Case<NPCOMP::npcomprt::TensorType>([&](Type) { os << "tensor"; })
+      .Case<NPCOMP::refbackrt::TensorType>([&](Type) { os << "tensor"; })
       .Default(
-          [&](Type) { llvm_unreachable("unexpected 'npcomprt' type kind"); });
+          [&](Type) { llvm_unreachable("unexpected 'refbackrt' type kind"); });
 }

lib/Dialect/Refbackrt/IR/RefbackrtOps.cpp

@@ -6,22 +6,22 @@
 //
 //===----------------------------------------------------------------------===//
 
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h"
 #include "mlir/IR/Builders.h"
 #include "mlir/IR/Function.h"
 #include "mlir/IR/SymbolTable.h"
 #include "mlir/IR/TypeUtilities.h"
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtDialect.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h"
 
 using namespace mlir;
-using namespace mlir::NPCOMP::npcomprt;
+using namespace mlir::NPCOMP::refbackrt;
 
 //===----------------------------------------------------------------------===//
 // GlobalOp
 //===----------------------------------------------------------------------===//
 
 static void printGlobalOp(OpAsmPrinter &p, GlobalOp &op) {
-  p << "npcomprt.global ";
+  p << "refbackrt.global ";
   p.printSymbolName(op.sym_name());
   p << ' ';
   p.printOptionalAttrDictWithKeyword(op.getAttrs(),
@@ -49,7 +49,7 @@ static ParseResult parseGlobalOp(OpAsmParser &parser, OperationState &result) {
 static LogicalResult verifyGetGlobalOp(GetGlobalOp op) {
   auto global = SymbolTable::lookupNearestSymbolFrom<GlobalOp>(op, op.global());
   if (!global)
-    return op.emitError() << "must reference a valid npcomprt.global";
+    return op.emitError() << "must reference a valid refbackrt.global";
   auto globalType = global.value().getType();
   auto resultType = op.getType().cast<ShapedType>();
   if (globalType.getElementType() != resultType.getElementType())
@@ -62,7 +62,7 @@ static LogicalResult verifyGetGlobalOp(GetGlobalOp op) {
 //===----------------------------------------------------------------------===//
 
 static void printModuleMetadataOp(OpAsmPrinter &p, ModuleMetadataOp &op) {
-  p << "npcomprt.module_metadata";
+  p << "refbackrt.module_metadata";
   p.printOptionalAttrDictWithKeyword(op.getAttrs());
   p.printRegion(op.metadatas(), /*printEntryBlockArgs=*/false,
                 /*printBlockTerminators=*/false);
@@ -99,4 +99,4 @@ static LogicalResult verify(FuncMetadataOp op) {
 }
 
 #define GET_OP_CLASSES
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.cpp.inc"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.cpp.inc"

lib/InitAll.cpp

@@ -12,7 +12,7 @@
 #include "npcomp/Dialect/ATen/ATenPasses.h"
 #include "npcomp/Dialect/Basicpy/IR/BasicpyDialect.h"
 #include "npcomp/Dialect/Basicpy/Transforms/Passes.h"
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtDialect.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h"
 #include "npcomp/Dialect/Numpy/IR/NumpyDialect.h"
 #include "npcomp/Dialect/Numpy/Transforms/Passes.h"
 #include "npcomp/Dialect/RefBackend/IR/RefBackendDialect.h"
@@ -73,7 +73,7 @@ void mlir::NPCOMP::registerAllDialects(mlir::DialectRegistry &registry) {
   registry.insert<mlir::NPCOMP::aten::ATenDialect,
                   Basicpy::BasicpyDialect,
                   Numpy::NumpyDialect,
-                  npcomprt::NpcomprtDialect,
+                  refbackrt::RefbackrtDialect,
                   refback::RefBackendDialect,
                   tcf::TCFDialect,
                   tcp::TCPDialect,

lib/RefBackend/CMakeLists.txt

@@ -5,7 +5,7 @@ add_mlir_library(NPCOMPRefBackend
   BypassShapes.cpp
   RefBackend.cpp
   LowerToLLVM.cpp
-  LowerToNpcomprtABI.cpp
+  LowerToRefbackrtABI.cpp
   TensorToMemref/LowerConstantTensorsToMemref.cpp
   TensorToMemref/LowerShapedResultsToMemref.cpp
   TensorToMemref/LowerStdToMemref.cpp

lib/RefBackend/JITHelpers/JITModule.cpp

@@ -51,39 +51,40 @@ JITModule::fromCompiledModule(mlir::ModuleOp module,
   if (!expectedAddress)
     return expectedAddress.takeError();
   ret->descriptor =
-      reinterpret_cast<npcomprt::ModuleDescriptor *>(*expectedAddress);
+      reinterpret_cast<refbackrt::ModuleDescriptor *>(*expectedAddress);
   return std::move(ret);
 }
 
-// Converter for bridging to npcomprt llvm-lookalike data structures.
+// Converter for bridging to refbackrt llvm-lookalike data structures.
-static npcomprt::StringRef toNpcomprt(llvm::StringRef s) {
+static refbackrt::StringRef toRefbackrt(llvm::StringRef s) {
-  return npcomprt::StringRef(s.data(), s.size());
+  return refbackrt::StringRef(s.data(), s.size());
 }
 
 template <typename T>
-static npcomprt::ArrayRef<T> toNpcomprt(llvm::ArrayRef<T> a) {
+static refbackrt::ArrayRef<T> toRefbackrt(llvm::ArrayRef<T> a) {
-  return npcomprt::ArrayRef<T>(a.data(), a.size());
+  return refbackrt::ArrayRef<T>(a.data(), a.size());
 }
 
 template <typename T>
-static npcomprt::MutableArrayRef<T> toNpcomprt(llvm::MutableArrayRef<T> a) {
+static refbackrt::MutableArrayRef<T> toRefbackrt(llvm::MutableArrayRef<T> a) {
-  return npcomprt::MutableArrayRef<T>(a.data(), a.size());
+  return refbackrt::MutableArrayRef<T>(a.data(), a.size());
 }
 
-llvm::Expected<llvm::SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6>>
+llvm::Expected<llvm::SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6>>
 JITModule::invoke(llvm::StringRef functionName,
-                  llvm::ArrayRef<npcomprt::Ref<npcomprt::Tensor>> inputs) {
+                  llvm::ArrayRef<refbackrt::Ref<refbackrt::Tensor>> inputs) {
-  npcomprt::FunctionMetadata metadata;
+  refbackrt::FunctionMetadata metadata;
-  if (npcomprt::failed(npcomprt::getMetadata(
+  if (refbackrt::failed(refbackrt::getMetadata(
-          descriptor, toNpcomprt(functionName), metadata)))
+          descriptor, toRefbackrt(functionName), metadata)))
     return make_string_error("unknown function: " + Twine(functionName));
-  SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6> outputs(metadata.numOutputs);
+  SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6> outputs(
+      metadata.numOutputs);
   if (metadata.numInputs != static_cast<std::int32_t>(inputs.size()))
     return make_string_error("invoking '" + Twine(functionName) +
                              "': expected " + Twine(metadata.numInputs) +
                              " inputs");
-  npcomprt::invoke(
+  refbackrt::invoke(
-      descriptor, toNpcomprt(functionName), toNpcomprt(inputs),
+      descriptor, toRefbackrt(functionName), toRefbackrt(inputs),
-      toNpcomprt(llvm::makeMutableArrayRef(outputs.data(), outputs.size())));
+      toRefbackrt(llvm::makeMutableArrayRef(outputs.data(), outputs.size())));
   return outputs;
 }

lib/RefBackend/LowerToLLVM.cpp

@@ -15,8 +15,8 @@
 #include "mlir/Dialect/StandardOps/Transforms/Passes.h"
 #include "mlir/Transforms/DialectConversion.h"
 
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtDialect.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h"
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h"
 
 using namespace mlir;
 using namespace mlir::NPCOMP;
@@ -29,7 +29,7 @@ using mlir::LLVM::LLVMType;
 // These correspond to the types in CompilerDataStructures.h
 //===----------------------------------------------------------------------===//
 
-// Get the LLVMType for npcomprt::FuncDescriptor.
+// Get the LLVMType for refbackrt::FuncDescriptor.
 static LLVMType getFuncDescriptorTy(MLIRContext *context) {
   return LLVMType::getStructTy(context, {
                                             // Name length.
@@ -45,7 +45,7 @@ static LLVMType getFuncDescriptorTy(MLIRContext *context) {
                                         });
 }
 
-// Get the LLVMType for npcomprt::ModuleDescriptor.
+// Get the LLVMType for refbackrt::ModuleDescriptor.
 static LLVMType getModuleDescriptorTy(MLIRContext *context) {
   return LLVMType::getStructTy(context,
                                {
@@ -56,7 +56,7 @@ static LLVMType getModuleDescriptorTy(MLIRContext *context) {
                                });
 }
 
-// Get the LLVMType for npcomprt::GlobalDescriptor.
+// Get the LLVMType for refbackrt::GlobalDescriptor.
 static LLVMType getGlobalDescriptorTy(MLIRContext *context) {
   return LLVMType::getStructTy(
       // std::int32_t numExtents;
@@ -97,13 +97,13 @@ namespace {
 // FromMemrefOp requires special handling so that the unranked memref descriptor
 // gets passed as two separate arguments instead of as a struct.
 class FromMemrefOpCompilerRuntimeLowering
-    : public OpConversionPattern<npcomprt::FromMemrefOp> {
+    : public OpConversionPattern<refbackrt::FromMemrefOp> {
 public:
   FromMemrefOpCompilerRuntimeLowering(LLVM::LLVMFuncOp backingFunc)
-      : OpConversionPattern<npcomprt::FromMemrefOp>(backingFunc.getContext()),
+      : OpConversionPattern<refbackrt::FromMemrefOp>(backingFunc.getContext()),
         backingFunc(backingFunc) {}
   LogicalResult
-  matchAndRewrite(npcomprt::FromMemrefOp op, ArrayRef<Value> operands,
+  matchAndRewrite(refbackrt::FromMemrefOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
     auto structVal = operands[0];
     Value rank = rewriter.create<LLVM::ExtractValueOp>(
@@ -124,17 +124,17 @@ public:
 
 namespace {
 class GetGlobalOpCompilerRuntimeLowering
-    : public OpConversionPattern<npcomprt::GetGlobalOp> {
+    : public OpConversionPattern<refbackrt::GetGlobalOp> {
 public:
   GetGlobalOpCompilerRuntimeLowering(LLVM::LLVMFuncOp backingFunc)
-      : OpConversionPattern<npcomprt::GetGlobalOp>(backingFunc.getContext()),
+      : OpConversionPattern<refbackrt::GetGlobalOp>(backingFunc.getContext()),
         backingFunc(backingFunc) {}
   LogicalResult
-  matchAndRewrite(npcomprt::GetGlobalOp op, ArrayRef<Value> operands,
+  matchAndRewrite(refbackrt::GetGlobalOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
     // It would be nice if we could use the constructor here that takes just the
     // global, but keeping track of the converted llvm.mlir.global op that gets
-    // created from the npcomprt.global while conversion is going on is a
+    // created from the refbackrt.global while conversion is going on is a
     // headache.
     //
     // Instead, we rely on the symbol name being the same and the result type
@@ -178,15 +178,15 @@ static LLVM::GlobalOp createGlobalString(ModuleOp module, StringAttr msg,
 
 namespace {
 class AbortIfOpCompilerRuntimeLowering
-    : public OpConversionPattern<npcomprt::AbortIfOp> {
+    : public OpConversionPattern<refbackrt::AbortIfOp> {
 public:
   AbortIfOpCompilerRuntimeLowering(LLVM::LLVMFuncOp backingFunc)
-      : OpConversionPattern<npcomprt::AbortIfOp>(backingFunc.getContext()),
+      : OpConversionPattern<refbackrt::AbortIfOp>(backingFunc.getContext()),
         backingFunc(backingFunc) {}
   LogicalResult
-  matchAndRewrite(npcomprt::AbortIfOp op, ArrayRef<Value> operands,
+  matchAndRewrite(refbackrt::AbortIfOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
-    npcomprt::AbortIfOp::Adaptor adaptor(operands);
+    refbackrt::AbortIfOp::Adaptor adaptor(operands);
     auto *context = op.getContext();
 
     // Create the global string, take its address, and gep to get an `i8*`.
@@ -207,7 +207,7 @@ public:
 };
 } // namespace
 
-// Create the LLVM runtime function backing the npcomprt op with name `name`
+// Create the LLVM runtime function backing the refbackrt op with name `name`
 // and requiring `type`.
 static LLVMFuncOp createCompilerRuntimeFuncDecl(StringRef name, LLVMType type,
                                                 OpBuilder &builder,
@@ -242,12 +242,12 @@ static void populateCompilerRuntimePatterns(ModuleOp module,
 
   {
     auto mlirFunctionType = builder.getFunctionType(
-        {builder.getType<npcomprt::TensorType>()},
+        {builder.getType<refbackrt::TensorType>()},
         {UnrankedMemRefType::get(builder.getF32Type(), /*memorySpace=*/0)});
     LLVMType funcTy = convertFunctionType(mlirFunctionType);
     LLVMFuncOp toMemrefFunc = createCompilerRuntimeFuncDecl(
         "to_memref", funcTy, builder, module.getLoc());
-    patterns.insert<TrivialCompilerRuntimeLowering<npcomprt::ToMemrefOp>>(
+    patterns.insert<TrivialCompilerRuntimeLowering<refbackrt::ToMemrefOp>>(
         toMemrefFunc);
   }
 
@@ -256,7 +256,7 @@ static void populateCompilerRuntimePatterns(ModuleOp module,
     // doesn't know its own dtype.
     auto mlirFunctionType = builder.getFunctionType(
         {UnrankedMemRefType::get(builder.getF32Type(), /*memorySpace=*/0)},
-        {builder.getType<npcomprt::TensorType>()});
+        {builder.getType<refbackrt::TensorType>()});
     LLVMType funcTy = convertFunctionType(mlirFunctionType);
     LLVMFuncOp fromMemrefFunc = createCompilerRuntimeFuncDecl(
         "from_memref", funcTy, builder, module.getLoc());
@@ -277,24 +277,24 @@ static void populateCompilerRuntimePatterns(ModuleOp module,
 }
 
 //===----------------------------------------------------------------------===//
-// Lowering for npcomprt.global
+// Lowering for refbackrt.global
 //===----------------------------------------------------------------------===//
 
 namespace {
-class LowerNpcomprtGlobalOp : public OpConversionPattern<npcomprt::GlobalOp> {
+class LowerRefbackrtGlobalOp : public OpConversionPattern<refbackrt::GlobalOp> {
 public:
-  explicit LowerNpcomprtGlobalOp(LLVMTypeConverter &typeConverter)
+  explicit LowerRefbackrtGlobalOp(LLVMTypeConverter &typeConverter)
-      : OpConversionPattern<npcomprt::GlobalOp>(&typeConverter.getContext()),
+      : OpConversionPattern<refbackrt::GlobalOp>(&typeConverter.getContext()),
         typeConverter(typeConverter) {}
   LogicalResult
-  matchAndRewrite(npcomprt::GlobalOp op, ArrayRef<Value> operands,
+  matchAndRewrite(refbackrt::GlobalOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
     auto *context = rewriter.getContext();
     auto globalDescriptorTy = getGlobalDescriptorTy(context);
 
     // Create the data buffer.
     auto dataBuffer = createGlobalForDenseElementsAttr(
-        (Twine("__npcomprt_global_data_buffer_") + op.sym_name()).str(),
+        (Twine("__refbackrt_global_data_buffer_") + op.sym_name()).str(),
         op.value().cast<DenseElementsAttr>(), op, rewriter);
 
     // Create the extents buffer.
@@ -302,8 +302,8 @@ public:
         llvm::map_range(op.value().getType().cast<ShapedType>().getShape(),
                         [](int64_t i) -> int32_t { return i; })));
     auto extentsBuffer = createGlobalForDenseElementsAttr(
-        (Twine("__npcomprt_global_extents_") + op.sym_name()).str(), extentsI32,
+        (Twine("__refbackrt_global_extents_") + op.sym_name()).str(),
-        op, rewriter);
+        extentsI32, op, rewriter);
 
     // Create the GlobalDescriptor.
     auto globalDescriptorGlobal = rewriter.create<LLVM::GlobalOp>(
@@ -352,7 +352,7 @@ public:
 private:
   // TODO: It feels like MLIR core should have better utilities for this.
   LLVM::GlobalOp createGlobalForDenseElementsAttr(
-      StringRef symbolName, DenseElementsAttr elements, npcomprt::GlobalOp op,
+      StringRef symbolName, DenseElementsAttr elements, refbackrt::GlobalOp op,
       ConversionPatternRewriter &rewriter) const {
     auto type = elements.getType().cast<ShapedType>();
 
@@ -384,7 +384,7 @@ private:
         /*isConstant=*/true, LLVM::Linkage::Internal, symbolName, elements);
   }
 
-  LLVMType getLLVMTypeForShapedType(ShapedType type, npcomprt::GlobalOp op,
+  LLVMType getLLVMTypeForShapedType(ShapedType type, refbackrt::GlobalOp op,
                                     ConversionPatternRewriter &rewriter) const {
     auto llvmType =
         typeConverter.convertType(type.getElementType()).cast<LLVMType>();
@@ -425,7 +425,7 @@ private:
 //===----------------------------------------------------------------------===//
 
 static LLVM::GlobalOp
-createFuncDescriptorArray(ArrayRef<npcomprt::FuncMetadataOp> funcMetadatas,
+createFuncDescriptorArray(ArrayRef<refbackrt::FuncMetadataOp> funcMetadatas,
                           OpBuilder &builder, Location loc) {
   auto llvmI32Ty = LLVMType::getIntNTy(builder.getContext(), 32);
 
@@ -556,14 +556,14 @@ LLVM::GlobalOp createModuleDescriptor(LLVM::GlobalOp funcDescriptorArray,
 
 namespace {
 class LowerModuleMetadata
-    : public OpConversionPattern<npcomprt::ModuleMetadataOp> {
+    : public OpConversionPattern<refbackrt::ModuleMetadataOp> {
 public:
   using OpConversionPattern::OpConversionPattern;
   LogicalResult
-  matchAndRewrite(npcomprt::ModuleMetadataOp op, ArrayRef<Value> operands,
+  matchAndRewrite(refbackrt::ModuleMetadataOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
     auto funcMetadatas =
-        llvm::to_vector<6>(op.metadatas().getOps<npcomprt::FuncMetadataOp>());
+        llvm::to_vector<6>(op.metadatas().getOps<refbackrt::FuncMetadataOp>());
     auto funcDescriptorArray =
         createFuncDescriptorArray(funcMetadatas, rewriter, op.getLoc());
     auto moduleDescriptor =
@@ -646,7 +646,7 @@ static void storeWrapperResults(LLVM::CallOp callToWrapped, Value resultsPtrPtr,
 // Construct a wrapper function.
 // For an externally visible function f(T1, T2) -> T3, T4, we create a
 // wrapper
-// __npcomprt_wrapper_f(void **inputs, void ** outputs) {
+// __refbackrt_wrapper_f(void **inputs, void ** outputs) {
 //  T3 t3;
 //  T4 t4;
 //  (t3, t4) = f(*cast<T1*>(inputs[0]), *cast<T2*>(inputs[1]));
@@ -664,8 +664,8 @@ static LLVMFuncOp createWrapperFunc(LLVMFuncOp func) {
   auto wrapperTy = LLVMType::getFunctionTy(LLVMType::getVoidTy(context),
                                            {voidStarStarTy, voidStarStarTy},
                                            /*isVarArg=*/false);
-  constexpr char kNpcomprtWrapperPrefix[] = "__npcomprt_wrapper_";
+  constexpr char kRefbackrtWrapperPrefix[] = "__refbackrt_wrapper_";
-  auto wrapperName = (Twine(kNpcomprtWrapperPrefix) + func.getName()).str();
+  auto wrapperName = (Twine(kRefbackrtWrapperPrefix) + func.getName()).str();
   OpBuilder moduleBuilder(func.getParentRegion());
   LLVMFuncOp wrapper = moduleBuilder.create<LLVMFuncOp>(
       func.getLoc(), wrapperName, wrapperTy, LLVM::Linkage::External);
@@ -693,8 +693,8 @@ class LowerToLLVM : public LowerToLLVMBase<LowerToLLVM> {
 
     LLVMTypeConverter converter(context);
 
-    // npcomprt::TensorType is passed as a `void*` in the ABI.
+    // refbackrt::TensorType is passed as a `void*` in the ABI.
-    converter.addConversion([&](npcomprt::TensorType type) {
+    converter.addConversion([&](refbackrt::TensorType type) {
       return LLVMType::getInt8PtrTy(context);
     });
 
@@ -706,7 +706,7 @@ class LowerToLLVM : public LowerToLLVMBase<LowerToLLVM> {
     target.addLegalOp<ModuleOp, ModuleTerminatorOp>();
     populateStdToLLVMConversionPatterns(converter, patterns);
     patterns.insert<LowerModuleMetadata>(context);
-    patterns.insert<LowerNpcomprtGlobalOp>(converter);
+    patterns.insert<LowerRefbackrtGlobalOp>(converter);
 
     // TODO: Move these "std to std" legalizations to their own pass if we grow
     // lots of these patterns.

lib/RefBackend/LowerToRefbackrtABI.cpp

@@ -14,8 +14,8 @@
 #include "mlir/IR/Verifier.h"
 #include "mlir/Transforms/DialectConversion.h"
 
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtDialect.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtDialect.h"
-#include "npcomp/Dialect/Npcomprt/IR/NpcomprtOps.h"
+#include "npcomp/Dialect/Refbackrt/IR/RefbackrtOps.h"
 #include "npcomp/Dialect/RefBackend/IR/RefBackendOps.h"
 
 using namespace mlir;
@@ -32,10 +32,10 @@ static Type getABIMemrefType(Type type) {
 // Creating module metadata.
 //===----------------------------------------------------------------------===//
 
-// Returns true if the function signature can be expressed with the npcomprt
+// Returns true if the function signature can be expressed with the refbackrt
 // ABI.
-static bool expressibleWithNpcomprtABI(FunctionType type) {
+static bool expressibleWithRefbackrtABI(FunctionType type) {
-  // Currently, only memref types can be exposed at npcomprt ABI boundaries.
+  // Currently, only memref types can be exposed at refbackrt ABI boundaries.
   return llvm::all_of(
       llvm::concat<const Type>(type.getInputs(), type.getResults()),
       [](Type t) { return t.isa<MemRefType>(); });
@@ -44,11 +44,11 @@ static bool expressibleWithNpcomprtABI(FunctionType type) {
 static LogicalResult createModuleMetadata(ModuleOp module) {
   auto moduleMetadata =
       OpBuilder::atBlockBegin(module.getBody())
-          .create<npcomprt::ModuleMetadataOp>(module.getLoc());
+          .create<refbackrt::ModuleMetadataOp>(module.getLoc());
   moduleMetadata.metadatas().push_back(new Block);
   Block &metadatas = moduleMetadata.metadatas().front();
   OpBuilder::atBlockEnd(&metadatas)
-      .create<npcomprt::ModuleMetadataTerminatorOp>(module.getLoc());
+      .create<refbackrt::ModuleMetadataTerminatorOp>(module.getLoc());
 
   SymbolTable symbolTable(module);
   auto builder = OpBuilder::atBlockBegin(&metadatas);
@@ -59,13 +59,13 @@ static LogicalResult createModuleMetadata(ModuleOp module) {
     }
     // TODO: Add richer information here such as expected shapes and element
     // types.
-    builder.create<npcomprt::FuncMetadataOp>(
+    builder.create<refbackrt::FuncMetadataOp>(
         func.getLoc(), builder.getSymbolRefAttr(func.getName()),
         builder.getI32IntegerAttr(func.getNumArguments()),
         builder.getI32IntegerAttr(func.getNumResults()));
 
-    if (!expressibleWithNpcomprtABI(func.getType()))
+    if (!expressibleWithRefbackrtABI(func.getType()))
-      return func.emitError() << "func not expressible with npcomprt ABI";
+      return func.emitError() << "func not expressible with refbackrt ABI";
   }
   return success();
 }
@@ -81,7 +81,7 @@ public:
   LogicalResult
   matchAndRewrite(refback::GlobalOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
-    rewriter.replaceOpWithNewOp<npcomprt::GlobalOp>(op, op.sym_name(),
+    rewriter.replaceOpWithNewOp<refbackrt::GlobalOp>(op, op.sym_name(),
                                                      op.value());
     return success();
   }
@@ -96,7 +96,7 @@ public:
   LogicalResult
   matchAndRewrite(refback::GetGlobalMemrefOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
-    auto abiMemref = rewriter.create<npcomprt::GetGlobalOp>(
+    auto abiMemref = rewriter.create<refbackrt::GetGlobalOp>(
         op.getLoc(), getABIMemrefType(op.getType()), op.global());
     // Cast back to the original type.
     rewriter.replaceOpWithNewOp<MemRefCastOp>(op, abiMemref, op.getType());
@@ -113,14 +113,14 @@ public:
   matchAndRewrite(AssertOp op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
     AssertOp::Adaptor adaptor(operands);
-    // The npcomprt runtime function aborts if the argument is true, rather than
+    // The refbackrt runtime function aborts if the argument is true, rather
-    // when it is false as an `assert` does. So negate the predicate (by xor'ing
+    // than when it is false as an `assert` does. So negate the predicate (by
-    // with 1).
+    // xor'ing with 1).
     auto c1 = rewriter.create<ConstantOp>(
         op.getLoc(), rewriter.getIntegerAttr(rewriter.getI1Type(),
                                              APInt(/*numBits=*/1, /*val=*/1)));
     Value assertFailed = rewriter.create<XOrOp>(op.getLoc(), adaptor.arg(), c1);
-    rewriter.replaceOpWithNewOp<npcomprt::AbortIfOp>(op, assertFailed,
+    rewriter.replaceOpWithNewOp<refbackrt::AbortIfOp>(op, assertFailed,
                                                       op.msgAttr());
     return success();
   }
@@ -128,7 +128,7 @@ public:
 } // namespace
 
 namespace {
-// At ABI bondaries, use !npcomprt.tensor instead of memref.
+// At ABI bondaries, use !refbackrt.tensor instead of memref.
 class FuncOpSignatureConversion : public OpConversionPattern<FuncOp> {
 public:
   using OpConversionPattern::OpConversionPattern;
@@ -159,7 +159,7 @@ public:
       for (auto newAndOldArg :
            llvm::zip(newEntry.getArguments(), oldEntry.getArguments())) {
         std::tie(newArg, oldArg) = newAndOldArg;
-        auto abiMemref = rewriter.create<npcomprt::ToMemrefOp>(
+        auto abiMemref = rewriter.create<refbackrt::ToMemrefOp>(
             op.getLoc(), getABIMemrefType(oldArg.getType()), newArg);
         auto memref = rewriter.create<MemRefCastOp>(op.getLoc(), abiMemref,
                                                     oldArg.getType());
@@ -172,7 +172,7 @@ public:
 } // namespace
 
 namespace {
-// At the return ABI boundaries, convert to !npcomprt.tensor type.
+// At the return ABI boundaries, convert to !refbackrt.tensor type.
 // This pattern is needed to trigger the type conversion mechanics to do a
 // target materialization.
 class RewriteReturnOp : public OpConversionPattern<ReturnOp> {
@@ -193,20 +193,20 @@ static LogicalResult doDialectConversion(ModuleOp module) {
   TypeConverter typeConverter;
   typeConverter.addConversion([](Type type) { return type; });
   typeConverter.addConversion([](MemRefType type) {
-    return npcomprt::TensorType::get(type.getContext());
+    return refbackrt::TensorType::get(type.getContext());
   });
   typeConverter.addTargetMaterialization(
-      [](OpBuilder &builder, npcomprt::TensorType type, ValueRange inputs,
+      [](OpBuilder &builder, refbackrt::TensorType type, ValueRange inputs,
          Location loc) -> Value {
         assert(inputs.size() == 1);
         auto abiMemref = builder.create<MemRefCastOp>(
             loc, inputs[0], getABIMemrefType(inputs[0].getType()));
-        return builder.create<npcomprt::FromMemrefOp>(loc, type, abiMemref);
+        return builder.create<refbackrt::FromMemrefOp>(loc, type, abiMemref);
       });
 
   OwningRewritePatternList patterns;
   ConversionTarget target(*context);
-  target.addLegalDialect<npcomprt::NpcomprtDialect>();
+  target.addLegalDialect<refbackrt::RefbackrtDialect>();
   target.addLegalDialect<StandardOpsDialect>();
 
   patterns.insert<FuncOpSignatureConversion>(typeConverter, context);
@@ -230,10 +230,11 @@ static LogicalResult doDialectConversion(ModuleOp module) {
 
 namespace {
 // This pass lowers the public ABI of the module to the primitives exposed by
-// the npcomprt dialect.
+// the refbackrt dialect.
-class LowerToNpcomprtABI : public LowerToNpcomprtABIBase<LowerToNpcomprtABI> {
+class LowerToRefbackrtABI
+    : public LowerToRefbackrtABIBase<LowerToRefbackrtABI> {
   void getDependentDialects(DialectRegistry &registry) const override {
-    registry.insert<npcomprt::NpcomprtDialect>();
+    registry.insert<refbackrt::RefbackrtDialect>();
   }
 
   void runOnOperation() override {
@@ -254,6 +255,6 @@ class LowerToNpcomprtABI : public LowerToNpcomprtABIBase<LowerToNpcomprtABI> {
 } // namespace
 
 std::unique_ptr<OperationPass<ModuleOp>>
-mlir::NPCOMP::createLowerToNpcomprtABIPass() {
+mlir::NPCOMP::createLowerToRefbackrtABIPass() {
-  return std::make_unique<LowerToNpcomprtABI>();
+  return std::make_unique<LowerToRefbackrtABI>();
 }

lib/RefBackend/RefBackend.cpp

@@ -292,12 +292,12 @@ void mlir::NPCOMP::createRefBackendLoweringPipeline(
   pm.addPass(createLowerToCFGPass());
 
   // Convert functions signatures and other constructs that interface with the
-  // runtime to the `npcomprt` dialect.
+  // runtime to the `refbackrt` dialect.
-  pm.addPass(createLowerToNpcomprtABIPass());
+  pm.addPass(createLowerToRefbackrtABIPass());
 
   // Finally, convert to LLVM dialect using our custom LowerToLLVM pass
   // which reuses the upstream patterns and gives us a place to add our own
-  // patterns for our own custom ops like the npcomprt ops.
+  // patterns for our own custom ops like the refbackrt ops.
   pm.addPass(createLowerToLLVMPass());
 
   // Although LLVM will clean everything up eventually, for the sake of IR

lib/RefBackend/Runtime/CMakeLists.txt

@@ -7,7 +7,7 @@ set(LLVM_OPTIONAL_SOURCES
 )
 
 # The library that users link against, defining basic interactions with an
-# npcomprt module and the relevant data structures.
+# refbackrt module and the relevant data structures.
 add_mlir_library(NPCOMPRuntime
   Runtime.cpp
 

lib/RefBackend/Runtime/CompilerDataStructures.h

@@ -17,7 +17,7 @@
 
 #include <cstdint>
 
-namespace npcomprt {
+namespace refbackrt {
 
 // All arguments are packed into this type-erased form for being invoked. See
 // LowerToLLVM.cpp for more details.
@@ -55,6 +55,6 @@ struct GlobalDescriptor {
   void *data;
 };
 
-} // namespace npcomprt
+} // namespace refbackrt
 
 #endif // NPCOMP_LIB_RUNTIME_COMPILERDATASTRUCTURES_H

lib/RefBackend/Runtime/CompilerRuntime.cpp

@@ -18,7 +18,7 @@
 #include "CompilerDataStructures.h"
 #include "npcomp/RefBackend/Runtime/UserAPI.h"
 
-using namespace npcomprt;
+using namespace refbackrt;
 
 extern "C" void __npcomp_compiler_rt_abort_if(bool b, const char *msg) {
   if (b) {

lib/RefBackend/Runtime/Runtime.cpp

@@ -15,7 +15,7 @@
 
 #include "CompilerDataStructures.h"
 
-using namespace npcomprt;
+using namespace refbackrt;
 
 //===----------------------------------------------------------------------===//
 // Tensor
@@ -29,7 +29,7 @@ static std::int32_t totalElements(ArrayRef<std::int32_t> extents) {
   return ret;
 }
 
-std::int32_t npcomprt::getElementTypeByteSize(ElementType type) {
+std::int32_t refbackrt::getElementTypeByteSize(ElementType type) {
   switch (type) {
   case ElementType::F32:
     return 4;
@@ -85,7 +85,7 @@ static FuncDescriptor *getFuncDescriptor(ModuleDescriptor *moduleDescriptor,
   return nullptr;
 }
 
-void npcomprt::invoke(ModuleDescriptor *moduleDescriptor,
+void refbackrt::invoke(ModuleDescriptor *moduleDescriptor,
                        StringRef functionName, ArrayRef<Ref<Tensor>> inputs,
                        MutableArrayRef<Ref<Tensor>> outputs) {
   auto *descriptor = getFuncDescriptor(moduleDescriptor, functionName);
@@ -104,7 +104,7 @@ void npcomprt::invoke(ModuleDescriptor *moduleDescriptor,
   for (int i = 0, e = outputs.size(); i < e; i++)
     outputTensorPtrs[i] = static_cast<Tensor *>(packedOutputs[i]);
   // TODO: Actually manage refcounts inside the compiler.
-  // Right now, we only pass around npcomprt.tensor's in trivial ways on ABI
+  // Right now, we only pass around refbackrt.tensor's in trivial ways on ABI
   // boundaries, so the following contract of the compiler-generated code works:
   // - input tensors are never retained or released
   // - output tensors always have refcount 0. Hence the next line here is
@@ -113,7 +113,7 @@ void npcomprt::invoke(ModuleDescriptor *moduleDescriptor,
     outputs[i] = Ref<Tensor>(outputTensorPtrs[i]);
 }
 
-LogicalResult npcomprt::getMetadata(ModuleDescriptor *moduleDescriptor,
+LogicalResult refbackrt::getMetadata(ModuleDescriptor *moduleDescriptor,
                                      StringRef functionName,
                                      FunctionMetadata &outMetadata) {
   auto *descriptor = getFuncDescriptor(moduleDescriptor, functionName);

test/Dialect/Npcomprt/invalid.mlir

@@ -1,43 +0,0 @@
-// RUN: npcomp-opt <%s -split-input-file -verify-diagnostics
-
-npcomprt.module_metadata {
-  // expected-error @+1 {{must reference a valid func}}
-  npcomprt.func_metadata {funcName = @g, numInputs = 1 : i32, numOutputs = 0 : i32}
-}
-
-
-// -----
-
-npcomprt.module_metadata {
-  // expected-error @+1 {{must agree on number of inputs}}
-  npcomprt.func_metadata {funcName = @f, numInputs = 1 : i32, numOutputs = 0 : i32}
-}
-func @f() { return }
-
-// -----
-
-npcomprt.module_metadata {
-  // expected-error @+1 {{must agree on number of outputs}}
-  npcomprt.func_metadata {funcName = @f, numInputs = 0 : i32, numOutputs = 1 : i32}
-}
-func @f() { return }
-
-// -----
-
-npcomprt.global @g dense<0.0> : tensor<2xf32>
-
-func @f() {
-    // expected-error @+1 {{must reference a valid npcomprt.global}}
-    npcomprt.get_global @nonexistent_symbol : memref<*xf32>
-    return
-}
-
-// -----
-
-npcomprt.global @g dense<0.0> : tensor<2xf32>
-
-func @f() {
-    // expected-error @+1 {{inconsistent with element type of global}}
-    npcomprt.get_global @g : memref<*xi8>
-    return
-}

test/Dialect/Npcomprt/ops.mlir

@@ -1,20 +0,0 @@
-// RUN: npcomp-opt <%s | npcomp-opt | FileCheck %s --dump-input=fail
-
-// CHECK: npcomprt.module_metadata
-npcomprt.module_metadata {
-  // CHECK: npcomprt.func_metadata
-  npcomprt.func_metadata {funcName = @f, numInputs = 1 : i32, numOutputs = 0 : i32}
-}
-
-// CHECK-LABEL: func @f
-// CHECK-SAME: !npcomprt.tensor
-func @f(%arg0: !npcomprt.tensor) {
-  return
-}
-
-// CHECK-LABEL: npcomprt.global @g dense<0.0{{.*}}> : tensor<10xf32>
-npcomprt.global @g dense<0.0> : tensor<10xf32>
-func @uses_global() {
-  npcomprt.get_global @g : memref<*xf32>
-  return
-}

test/Dialect/Refbackrt/invalid.mlir

@@ -0,0 +1,43 @@
+// RUN: npcomp-opt <%s -split-input-file -verify-diagnostics
+
+refbackrt.module_metadata {
+  // expected-error @+1 {{must reference a valid func}}
+  refbackrt.func_metadata {funcName = @g, numInputs = 1 : i32, numOutputs = 0 : i32}
+}
+
+
+// -----
+
+refbackrt.module_metadata {
+  // expected-error @+1 {{must agree on number of inputs}}
+  refbackrt.func_metadata {funcName = @f, numInputs = 1 : i32, numOutputs = 0 : i32}
+}
+func @f() { return }
+
+// -----
+
+refbackrt.module_metadata {
+  // expected-error @+1 {{must agree on number of outputs}}
+  refbackrt.func_metadata {funcName = @f, numInputs = 0 : i32, numOutputs = 1 : i32}
+}
+func @f() { return }
+
+// -----
+
+refbackrt.global @g dense<0.0> : tensor<2xf32>
+
+func @f() {
+    // expected-error @+1 {{must reference a valid refbackrt.global}}
+    refbackrt.get_global @nonexistent_symbol : memref<*xf32>
+    return
+}
+
+// -----
+
+refbackrt.global @g dense<0.0> : tensor<2xf32>
+
+func @f() {
+    // expected-error @+1 {{inconsistent with element type of global}}
+    refbackrt.get_global @g : memref<*xi8>
+    return
+}

test/Dialect/Refbackrt/ops.mlir

@@ -0,0 +1,20 @@
+// RUN: npcomp-opt <%s | npcomp-opt | FileCheck %s --dump-input=fail
+
+// CHECK: refbackrt.module_metadata
+refbackrt.module_metadata {
+  // CHECK: refbackrt.func_metadata
+  refbackrt.func_metadata {funcName = @f, numInputs = 1 : i32, numOutputs = 0 : i32}
+}
+
+// CHECK-LABEL: func @f
+// CHECK-SAME: !refbackrt.tensor
+func @f(%arg0: !refbackrt.tensor) {
+  return
+}
+
+// CHECK-LABEL: refbackrt.global @g dense<0.0{{.*}}> : tensor<10xf32>
+refbackrt.global @g dense<0.0> : tensor<10xf32>
+func @uses_global() {
+  refbackrt.get_global @g : memref<*xf32>
+  return
+}

test/RefBackend/lower-to-llvm-global.mlir

@@ -5,17 +5,17 @@
 // CHECK:         llvm.func @__npcomp_compiler_rt_to_memref(!llvm.ptr<i8>) -> !llvm.struct<(i64, ptr<i8>)>
 // CHECK:         llvm.func @__npcomp_compiler_rt_from_memref(!llvm.i64, !llvm.ptr<i8>) -> !llvm.ptr<i8>
 // CHECK:         llvm.func @__npcomp_compiler_rt_get_global(!llvm.ptr<struct<(i32, ptr<i32>, ptr<i8>)>>) -> !llvm.struct<(i64, ptr<i8>)>
-// CHECK:         llvm.mlir.global internal constant @__npcomprt_global_data_buffer_g(dense<7.000000e+00> : tensor<3xf32>) : !llvm.array<3 x float>
+// CHECK:         llvm.mlir.global internal constant @__refbackrt_global_data_buffer_g(dense<7.000000e+00> : tensor<3xf32>) : !llvm.array<3 x float>
-// CHECK:         llvm.mlir.global internal constant @__npcomprt_global_extents_g(dense<3> : tensor<1xi32>) : !llvm.array<1 x i32>
+// CHECK:         llvm.mlir.global internal constant @__refbackrt_global_extents_g(dense<3> : tensor<1xi32>) : !llvm.array<1 x i32>
 
 // CHECK-LABEL:   llvm.mlir.global internal constant @g() : !llvm.struct<(i32, ptr<i32>, ptr<i8>)> {
 // CHECK:           %[[VAL_0:.*]] = llvm.mlir.undef : !llvm.struct<(i32, ptr<i32>, ptr<i8>)>
 // CHECK:           %[[VAL_1:.*]] = llvm.mlir.constant(1 : i32) : !llvm.i32
 // CHECK:           %[[VAL_2:.*]] = llvm.insertvalue %[[VAL_1]], %[[VAL_0]][0 : i32] : !llvm.struct<(i32, ptr<i32>, ptr<i8>)>
-// CHECK:           %[[VAL_3:.*]] = llvm.mlir.addressof @__npcomprt_global_extents_g : !llvm.ptr<array<1 x i32>>
+// CHECK:           %[[VAL_3:.*]] = llvm.mlir.addressof @__refbackrt_global_extents_g : !llvm.ptr<array<1 x i32>>
 // CHECK:           %[[VAL_4:.*]] = llvm.bitcast %[[VAL_3]] : !llvm.ptr<array<1 x i32>> to !llvm.ptr<i32>
 // CHECK:           %[[VAL_5:.*]] = llvm.insertvalue %[[VAL_4]], %[[VAL_2]][1 : i32] : !llvm.struct<(i32, ptr<i32>, ptr<i8>)>
-// CHECK:           %[[VAL_6:.*]] = llvm.mlir.addressof @__npcomprt_global_data_buffer_g : !llvm.ptr<array<3 x float>>
+// CHECK:           %[[VAL_6:.*]] = llvm.mlir.addressof @__refbackrt_global_data_buffer_g : !llvm.ptr<array<3 x float>>
 // CHECK:           %[[VAL_7:.*]] = llvm.bitcast %[[VAL_6]] : !llvm.ptr<array<3 x float>> to !llvm.ptr<i8>
 // CHECK:           %[[VAL_8:.*]] = llvm.insertvalue %[[VAL_7]], %[[VAL_5]][2 : i32] : !llvm.struct<(i32, ptr<i32>, ptr<i8>)>
 // CHECK:           llvm.return %[[VAL_8]] : !llvm.struct<(i32, ptr<i32>, ptr<i8>)>
@@ -44,15 +44,15 @@
 // CHECK:           %[[VAL_18:.*]] = llvm.insertvalue %[[VAL_13]], %[[VAL_17]][1] : !llvm.struct<(i64, ptr<i8>)>
 // CHECK:           llvm.return %[[VAL_18]] : !llvm.struct<(i64, ptr<i8>)>
 // CHECK:         }
-npcomprt.global @g dense<7.000000e+00> : tensor<3xf32>
+refbackrt.global @g dense<7.000000e+00> : tensor<3xf32>
 func @calls_get_global() -> memref<*xf32> {
-  %0 = npcomprt.get_global @g : memref<*xf32>
+  %0 = refbackrt.get_global @g : memref<*xf32>
   return %0 : memref<*xf32>
 }
 
 // -----
 
 // For scalars, we have to fake-up a size-1 data buffer array to make LLVM translation happy.
-// CHECK: llvm.mlir.global internal constant @__npcomprt_global_data_buffer_g(dense<7.000000e+00> : tensor<f32>) : !llvm.array<1 x float>
+// CHECK: llvm.mlir.global internal constant @__refbackrt_global_data_buffer_g(dense<7.000000e+00> : tensor<f32>) : !llvm.array<1 x float>
-// CHECK: llvm.mlir.global internal constant @__npcomprt_global_extents_g(dense<0> : tensor<1xi32>) : !llvm.array<1 x i32>
+// CHECK: llvm.mlir.global internal constant @__refbackrt_global_extents_g(dense<0> : tensor<1xi32>) : !llvm.array<1 x i32>
-npcomprt.global @g dense<7.0> : tensor<f32>
+refbackrt.global @g dense<7.0> : tensor<f32>

test/RefBackend/lower-to-llvm.mlir

@@ -1,6 +1,6 @@
 // RUN: npcomp-opt -refback-lower-to-llvm -split-input-file <%s | FileCheck %s --dump-input=fail
 
-// CHECK-LABEL:   llvm.func @__npcomprt_wrapper_identity(
+// CHECK-LABEL:   llvm.func @__refbackrt_wrapper_identity(
 // CHECK-SAME:                                           %[[VAL_0:.*]]: !llvm.ptr<ptr<i8>>,
 // CHECK-SAME:                                           %[[VAL_1:.*]]: !llvm.ptr<ptr<i8>>) {
 // CHECK:           %[[VAL_2:.*]] = llvm.mlir.constant(0 : i32) : !llvm.i32
@@ -28,7 +28,7 @@
 // CHECK:           %[[VAL_4:.*]] = llvm.mlir.addressof @__npcomp_internal_constant_identity : !llvm.ptr<array<8 x i8>>
 // CHECK:           %[[VAL_5:.*]] = llvm.getelementptr %[[VAL_4]]{{\[}}%[[VAL_1]], %[[VAL_1]]] : (!llvm.ptr<array<8 x i8>>, !llvm.i32, !llvm.i32) -> !llvm.ptr<i8>
 // CHECK:           %[[VAL_6:.*]] = llvm.insertvalue %[[VAL_5]], %[[VAL_3]][0 : i32, 1 : i32] : !llvm.array<1 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
-// CHECK:           %[[VAL_7:.*]] = llvm.mlir.addressof @__npcomprt_wrapper_identity : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
+// CHECK:           %[[VAL_7:.*]] = llvm.mlir.addressof @__refbackrt_wrapper_identity : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
 // CHECK:           %[[VAL_8:.*]] = llvm.bitcast %[[VAL_7]] : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>> to !llvm.ptr<i8>
 // CHECK:           %[[VAL_9:.*]] = llvm.insertvalue %[[VAL_8]], %[[VAL_6]][0 : i32, 2 : i32] : !llvm.array<1 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
 // CHECK:           %[[VAL_10:.*]] = llvm.mlir.constant(1 : i32) : !llvm.i32
@@ -48,8 +48,8 @@
 // CHECK:           llvm.return %[[VAL_5]] : !llvm.struct<(i32, ptr<struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>)>
 // CHECK:         }
 
-npcomprt.module_metadata {
+refbackrt.module_metadata {
-  npcomprt.func_metadata {funcName = @identity, numInputs = 1 : i32, numOutputs = 1 : i32}
+  refbackrt.func_metadata {funcName = @identity, numInputs = 1 : i32, numOutputs = 1 : i32}
 }
 
 
@@ -57,15 +57,15 @@ npcomprt.module_metadata {
 // CHECK-SAME:                        %[[VAL_0:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> {
 // CHECK:           llvm.return %[[VAL_0]] : !llvm.ptr<i8>
 // CHECK:         }
-func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
+func @identity(%arg0: !refbackrt.tensor) -> !refbackrt.tensor {
-  return %arg0 : !npcomprt.tensor
+  return %arg0 : !refbackrt.tensor
 }
 
 // -----
 
 // Test input/output arg marshaling.
 
-// CHECK-LABEL:   llvm.func @__npcomprt_wrapper_inputs1results2(
+// CHECK-LABEL:   llvm.func @__refbackrt_wrapper_inputs1results2(
 // CHECK-SAME:                                                  %[[VAL_0:.*]]: !llvm.ptr<ptr<i8>>,
 // CHECK-SAME:                                                  %[[VAL_1:.*]]: !llvm.ptr<ptr<i8>>) {
 // CHECK:           %[[VAL_2:.*]] = llvm.mlir.constant(0 : i32) : !llvm.i32
@@ -86,7 +86,7 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           llvm.return
 // CHECK:         }
 
-// CHECK-LABEL:   llvm.func @__npcomprt_wrapper_inputs1results1(
+// CHECK-LABEL:   llvm.func @__refbackrt_wrapper_inputs1results1(
 // CHECK-SAME:                                                  %[[VAL_0:.*]]: !llvm.ptr<ptr<i8>>,
 // CHECK-SAME:                                                  %[[VAL_1:.*]]: !llvm.ptr<ptr<i8>>) {
 // CHECK:           %[[VAL_2:.*]] = llvm.mlir.constant(0 : i32) : !llvm.i32
@@ -101,7 +101,7 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           llvm.return
 // CHECK:         }
 
-// CHECK-LABEL:   llvm.func @__npcomprt_wrapper_inputs1results0(
+// CHECK-LABEL:   llvm.func @__refbackrt_wrapper_inputs1results0(
 // CHECK-SAME:                                                  %[[VAL_0:.*]]: !llvm.ptr<ptr<i8>>,
 // CHECK-SAME:                                                  %[[VAL_1:.*]]: !llvm.ptr<ptr<i8>>) {
 // CHECK:           %[[VAL_2:.*]] = llvm.mlir.constant(0 : i32) : !llvm.i32
@@ -127,7 +127,7 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           %[[VAL_4:.*]] = llvm.mlir.addressof @__npcomp_internal_constant_inputs1results0 : !llvm.ptr<array<15 x i8>>
 // CHECK:           %[[VAL_5:.*]] = llvm.getelementptr %[[VAL_4]]{{\[}}%[[VAL_1]], %[[VAL_1]]] : (!llvm.ptr<array<15 x i8>>, !llvm.i32, !llvm.i32) -> !llvm.ptr<i8>
 // CHECK:           %[[VAL_6:.*]] = llvm.insertvalue %[[VAL_5]], %[[VAL_3]][0 : i32, 1 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
-// CHECK:           %[[VAL_7:.*]] = llvm.mlir.addressof @__npcomprt_wrapper_inputs1results0 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
+// CHECK:           %[[VAL_7:.*]] = llvm.mlir.addressof @__refbackrt_wrapper_inputs1results0 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
 // CHECK:           %[[VAL_8:.*]] = llvm.bitcast %[[VAL_7]] : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>> to !llvm.ptr<i8>
 // CHECK:           %[[VAL_9:.*]] = llvm.insertvalue %[[VAL_8]], %[[VAL_6]][0 : i32, 2 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
 // CHECK:           %[[VAL_10:.*]] = llvm.mlir.constant(1 : i32) : !llvm.i32
@@ -139,7 +139,7 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           %[[VAL_16:.*]] = llvm.mlir.addressof @__npcomp_internal_constant_inputs1results1 : !llvm.ptr<array<15 x i8>>
 // CHECK:           %[[VAL_17:.*]] = llvm.getelementptr %[[VAL_16]]{{\[}}%[[VAL_1]], %[[VAL_1]]] : (!llvm.ptr<array<15 x i8>>, !llvm.i32, !llvm.i32) -> !llvm.ptr<i8>
 // CHECK:           %[[VAL_18:.*]] = llvm.insertvalue %[[VAL_17]], %[[VAL_15]][1 : i32, 1 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
-// CHECK:           %[[VAL_19:.*]] = llvm.mlir.addressof @__npcomprt_wrapper_inputs1results1 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
+// CHECK:           %[[VAL_19:.*]] = llvm.mlir.addressof @__refbackrt_wrapper_inputs1results1 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
 // CHECK:           %[[VAL_20:.*]] = llvm.bitcast %[[VAL_19]] : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>> to !llvm.ptr<i8>
 // CHECK:           %[[VAL_21:.*]] = llvm.insertvalue %[[VAL_20]], %[[VAL_18]][1 : i32, 2 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
 // CHECK:           %[[VAL_22:.*]] = llvm.mlir.constant(1 : i32) : !llvm.i32
@@ -151,7 +151,7 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           %[[VAL_28:.*]] = llvm.mlir.addressof @__npcomp_internal_constant_inputs1results2 : !llvm.ptr<array<15 x i8>>
 // CHECK:           %[[VAL_29:.*]] = llvm.getelementptr %[[VAL_28]]{{\[}}%[[VAL_1]], %[[VAL_1]]] : (!llvm.ptr<array<15 x i8>>, !llvm.i32, !llvm.i32) -> !llvm.ptr<i8>
 // CHECK:           %[[VAL_30:.*]] = llvm.insertvalue %[[VAL_29]], %[[VAL_27]][2 : i32, 1 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
-// CHECK:           %[[VAL_31:.*]] = llvm.mlir.addressof @__npcomprt_wrapper_inputs1results2 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
+// CHECK:           %[[VAL_31:.*]] = llvm.mlir.addressof @__refbackrt_wrapper_inputs1results2 : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>>
 // CHECK:           %[[VAL_32:.*]] = llvm.bitcast %[[VAL_31]] : !llvm.ptr<func<void (ptr<ptr<i8>>, ptr<ptr<i8>>)>> to !llvm.ptr<i8>
 // CHECK:           %[[VAL_33:.*]] = llvm.insertvalue %[[VAL_32]], %[[VAL_30]][2 : i32, 2 : i32] : !llvm.array<3 x struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>
 // CHECK:           %[[VAL_34:.*]] = llvm.mlir.constant(1 : i32) : !llvm.i32
@@ -171,10 +171,10 @@ func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           llvm.return %[[VAL_5]] : !llvm.struct<(i32, ptr<struct<(i32, ptr<i8>, ptr<i8>, i32, i32)>>)>
 // CHECK:         }
 
-npcomprt.module_metadata {
+refbackrt.module_metadata {
-  npcomprt.func_metadata {funcName = @inputs1results0, numInputs = 1 : i32, numOutputs = 0 : i32}
+  refbackrt.func_metadata {funcName = @inputs1results0, numInputs = 1 : i32, numOutputs = 0 : i32}
-  npcomprt.func_metadata {funcName = @inputs1results1, numInputs = 1 : i32, numOutputs = 1 : i32}
+  refbackrt.func_metadata {funcName = @inputs1results1, numInputs = 1 : i32, numOutputs = 1 : i32}
-  npcomprt.func_metadata {funcName = @inputs1results2, numInputs = 1 : i32, numOutputs = 2 : i32}
+  refbackrt.func_metadata {funcName = @inputs1results2, numInputs = 1 : i32, numOutputs = 2 : i32}
 }
 
 
@@ -183,7 +183,7 @@ npcomprt.module_metadata {
 // CHECK-SAME:                               %[[VAL_0:.*]]: !llvm.ptr<i8>) {
 // CHECK:           llvm.return
 // CHECK:         }
-func @inputs1results0(%arg0: !npcomprt.tensor) {
+func @inputs1results0(%arg0: !refbackrt.tensor) {
   return
 }
 
@@ -191,8 +191,8 @@ func @inputs1results0(%arg0: !npcomprt.tensor) {
 // CHECK-SAME:                               %[[VAL_0:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> {
 // CHECK:           llvm.return %[[VAL_0]] : !llvm.ptr<i8>
 // CHECK:         }
-func @inputs1results1(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
+func @inputs1results1(%arg0: !refbackrt.tensor) -> !refbackrt.tensor {
-  return %arg0 : !npcomprt.tensor
+  return %arg0 : !refbackrt.tensor
 }
 
 // CHECK-LABEL:   llvm.func @inputs1results2(
@@ -202,8 +202,8 @@ func @inputs1results1(%arg0: !npcomprt.tensor) -> !npcomprt.tensor {
 // CHECK:           %[[VAL_3:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_2]][1] : !llvm.struct<(ptr<i8>, ptr<i8>)>
 // CHECK:           llvm.return %[[VAL_3]] : !llvm.struct<(ptr<i8>, ptr<i8>)>
 // CHECK:         }
-func @inputs1results2(%arg0: !npcomprt.tensor) -> (!npcomprt.tensor, !npcomprt.tensor) {
+func @inputs1results2(%arg0: !refbackrt.tensor) -> (!refbackrt.tensor, !refbackrt.tensor) {
-  return %arg0, %arg0 : !npcomprt.tensor, !npcomprt.tensor
+  return %arg0, %arg0 : !refbackrt.tensor, !refbackrt.tensor
 }
 
 
@@ -226,7 +226,7 @@ func @inputs1results2(%arg0: !npcomprt.tensor) -> (!npcomprt.tensor, !npcomprt.t
 // CHECK:         llvm.return
 
 func @calls_abort_if(%arg0: i1) {
-  npcomprt.abort_if %arg0, "msg"
+  refbackrt.abort_if %arg0, "msg"
   return
 }
 
@@ -235,8 +235,8 @@ func @calls_abort_if(%arg0: i1) {
 // CHECK:           %[[VAL_1:.*]] = llvm.call @__npcomp_compiler_rt_to_memref(%[[VAL_0]]) : (!llvm.ptr<i8>) -> !llvm.struct<(i64, ptr<i8>)>
 // CHECK:           llvm.return
 // CHECK:         }
-func @calls_to_memref(%arg0: !npcomprt.tensor) {
+func @calls_to_memref(%arg0: !refbackrt.tensor) {
-  %0 = npcomprt.to_memref %arg0 : memref<*xf32>
+  %0 = refbackrt.to_memref %arg0 : memref<*xf32>
   return
 }
 
@@ -251,7 +251,7 @@ func @calls_to_memref(%arg0: !npcomprt.tensor) {
 // CHECK:           %[[VAL_7:.*]] = llvm.call @__npcomp_compiler_rt_from_memref(%[[VAL_5]], %[[VAL_6]]) : (!llvm.i64, !llvm.ptr<i8>) -> !llvm.ptr<i8>
 // CHECK:           llvm.return %[[VAL_7]] : !llvm.ptr<i8>
 // CHECK:         }
-func @calls_from_memref(%arg0: memref<*xf32>) -> !npcomprt.tensor {
+func @calls_from_memref(%arg0: memref<*xf32>) -> !refbackrt.tensor {
-  %0 = npcomprt.from_memref %arg0 : memref<*xf32>
+  %0 = refbackrt.from_memref %arg0 : memref<*xf32>
-  return %0 : !npcomprt.tensor
+  return %0 : !refbackrt.tensor
 }

test/RefBackend/lower-to-refbackrt-abi.mlir

@@ -1,10 +1,10 @@
-// RUN: npcomp-opt -lower-to-npcomprt-abi -split-input-file -verify-diagnostics <%s | FileCheck %s --dump-input=fail
+// RUN: npcomp-opt -lower-to-refbackrt-abi -split-input-file -verify-diagnostics <%s | FileCheck %s --dump-input=fail
 
 // Test module metadata.
 
-// CHECK:      npcomprt.module_metadata
+// CHECK:      refbackrt.module_metadata
-// CHECK-NEXT:   npcomprt.func_metadata {funcName = @f_2inputs_0outputs, numInputs = 2 : i32, numOutputs = 0 : i32}
+// CHECK-NEXT:   refbackrt.func_metadata {funcName = @f_2inputs_0outputs, numInputs = 2 : i32, numOutputs = 0 : i32}
-// CHECK-NEXT:   npcomprt.func_metadata {funcName = @f_1input_2outputs, numInputs = 1 : i32, numOutputs = 2 : i32}
+// CHECK-NEXT:   refbackrt.func_metadata {funcName = @f_1input_2outputs, numInputs = 1 : i32, numOutputs = 2 : i32}
 
 // This function only exists to test its metadata above.
 func @f_2inputs_0outputs(%arg0: memref<?xf32>, %arg1: memref<?xf32>) {
@@ -20,12 +20,12 @@ func @f_1input_2outputs(%arg0: memref<?xf32>) -> (memref<?xf32>, memref<?xf32>)
 
 // Test ABI conversions.
 
-// CHECK-LABEL:   func @identity(%arg0: !npcomprt.tensor) -> !npcomprt.tensor
+// CHECK-LABEL:   func @identity(%arg0: !refbackrt.tensor) -> !refbackrt.tensor
 func @identity(%arg0: memref<?xf32>) -> memref<?xf32> {
   // The argument materialization.
   // In this test case, these go unused since, as described below, the new
   // argument value is seen immediately by the return op for some reason.
-  // CHECK-NEXT: %[[INABIMEMREF:.*]] = npcomprt.to_memref %arg0 : memref<*xf32>
+  // CHECK-NEXT: %[[INABIMEMREF:.*]] = refbackrt.to_memref %arg0 : memref<*xf32>
   // CHECK-NEXT: %[[MEMREF:.*]] = memref_cast %[[INABIMEMREF]] : memref<*xf32> to memref<?xf32>
 
   // TODO: Why do these target materializations not happen in this particular
@@ -34,7 +34,7 @@ func @identity(%arg0: memref<?xf32>) -> memref<?xf32> {
   // rather than the result of replaceUsesOfBlockArgument from
   // FuncOpSignatureConversion
   // Cxxxx-NEXT: %[[OUTABIMEMREF:.*]] = memref_cast %[[MEMREF]] : memref<?xf32> to memref<*xf32>
-  // Cxxxx-NEXT: %[[RET:.*]] = npcomprt.from_memref %[[OUTABIMEMREF]] : memref<*xf32>
+  // Cxxxx-NEXT: %[[RET:.*]] = refbackrt.from_memref %[[OUTABIMEMREF]] : memref<*xf32>
   // Cxxxx-NEXT: return %[[RET]]
 
   // CHECK-NEXT: return %arg0
@@ -44,9 +44,9 @@ func @identity(%arg0: memref<?xf32>) -> memref<?xf32> {
 
 // -----
 
-// CHECK-LABEL: func @use_of_arg(%arg0: !npcomprt.tensor)
+// CHECK-LABEL: func @use_of_arg(%arg0: !refbackrt.tensor)
 func @use_of_arg(%arg0: memref<?xf32>) {
-  // CHECK-NEXT: %[[INABIMEMREF:.*]] = npcomprt.to_memref %arg0 : memref<*xf32>
+  // CHECK-NEXT: %[[INABIMEMREF:.*]] = refbackrt.to_memref %arg0 : memref<*xf32>
   // CHECK-NEXT: %[[MEMREF:.*]] = memref_cast %[[INABIMEMREF]] : memref<*xf32> to memref<?xf32>
   %c0 = constant 0 : index
   %0 = dim %arg0, %c0 : memref<?xf32>
@@ -57,32 +57,32 @@ func @use_of_arg(%arg0: memref<?xf32>) {
 
 // -----
 
-// CHECK-LABEL: func @multiple_blocks(%arg0: !npcomprt.tensor) -> !npcomprt.tensor
+// CHECK-LABEL: func @multiple_blocks(%arg0: !refbackrt.tensor) -> !refbackrt.tensor
 func @multiple_blocks(%arg0: memref<?xf32>) -> memref<?xf32> {
-  // CHECK-NEXT:   %[[INABIMEMREF:.*]] = npcomprt.to_memref %arg0 : memref<*xf32>
+  // CHECK-NEXT:   %[[INABIMEMREF:.*]] = refbackrt.to_memref %arg0 : memref<*xf32>
   // CHECK-NEXT:   %[[INMEMREF:.*]] = memref_cast %[[INABIMEMREF]] : memref<*xf32> to memref<?xf32>
   // CHECK-NEXT:   br ^bb1(%[[INMEMREF]] : memref<?xf32>)
   br ^bb1(%arg0: memref<?xf32>)
   // CHECK-NEXT: ^bb1(%[[BBARG:.*]]: memref<?xf32>):
 ^bb1(%bbarg: memref<?xf32>):
   // CHECK-NEXT:   %[[OUTMEMREF:.*]] = memref_cast %[[BBARG]] : memref<?xf32> to memref<*xf32>
-  // CHECK-NEXT:   %[[OUTABIMEMREF:.*]] = npcomprt.from_memref %[[OUTMEMREF]] : memref<*xf32>
+  // CHECK-NEXT:   %[[OUTABIMEMREF:.*]] = refbackrt.from_memref %[[OUTMEMREF]] : memref<*xf32>
-  // CHECK-NEXT:   return %[[OUTABIMEMREF]] : !npcomprt.tensor
+  // CHECK-NEXT:   return %[[OUTABIMEMREF]] : !refbackrt.tensor
   return %bbarg : memref<?xf32>
 }
 
 // -----
 
 
-// CHECK: npcomprt.global @g dense<7.000000e+00> : tensor<10xf32>
+// CHECK: refbackrt.global @g dense<7.000000e+00> : tensor<10xf32>
 refback.global @g dense<7.0> : tensor<10xf32>
-// CHECK-LABEL: func @gets_global() -> !npcomprt.tensor
+// CHECK-LABEL: func @gets_global() -> !refbackrt.tensor
 func @gets_global() -> memref<10xf32> {
-// CHECK:    %[[GMEMREF:.*]] = npcomprt.get_global @g : memref<*xf32>
+// CHECK:    %[[GMEMREF:.*]] = refbackrt.get_global @g : memref<*xf32>
 // CHECK:    %[[ORIGMEMREF:.*]] = memref_cast %[[GMEMREF]] : memref<*xf32> to memref<10xf32>
 // CHECK:    %[[OUTABIMEMREF:.*]] = memref_cast %[[ORIGMEMREF:.*]] : memref<10xf32> to memref<*xf32>
-// CHECK:    %[[RET:.*]] = npcomprt.from_memref %[[OUTABIMEMREF]] : memref<*xf32>
+// CHECK:    %[[RET:.*]] = refbackrt.from_memref %[[OUTABIMEMREF]] : memref<*xf32>
-// CHECK:    return %[[RET]] : !npcomprt.tensor
+// CHECK:    return %[[RET]] : !refbackrt.tensor
   %0 = refback.get_global_memref @g : memref<10xf32>
   return %0 : memref<10xf32>
 }
@@ -91,7 +91,7 @@ func @gets_global() -> memref<10xf32> {
 
 // Test diagnostics.
 
-// expected-error @+1 {{func not expressible with npcomprt ABI}}
+// expected-error @+1 {{func not expressible with refbackrt ABI}}
 func @unhandled_abi_type_on_public_func(%arg0: i32) {
   return
 }

tools/mnist-playground/mnist-playground.cpp

@@ -73,32 +73,30 @@ invokeJITModuleWithATenTensors(npcomp::JITModule &jitModule,
   std::vector<at::TensorArg> tensorArgs;
   for (auto arg : llvm::enumerate(args))
     tensorArgs.push_back(at::TensorArg(arg.value(), "arg", arg.index()));
-  at::CheckedFrom c = "converting to npcomprt::Tensor";
+  at::CheckedFrom c = "converting to refbackrt::Tensor";
   for (auto &tensorArg : tensorArgs)
     at::checkScalarType(c, tensorArg, at::ScalarType::Float);
   at::checkAllContiguous(c, tensorArgs);
 
-  SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6> npcomprtInputs;
+  SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6> refbackInputs;
   for (at::Tensor arg : args) {
     SmallVector<int32_t, 6> extents(arg.sizes().begin(), arg.sizes().end());
     float *data = arg.storage().data<float>();
     // This does a deep copy of the data. Let's see if it shows up on the
     // profile.
-    npcomprtInputs.push_back(npcomprt::Tensor::create(
+    refbackInputs.push_back(refbackrt::Tensor::create(
-        npcomprt::ArrayRef<int32_t>(extents.data(), extents.size()),
+        refbackrt::ArrayRef<int32_t>(extents.data(), extents.size()),
-        npcomprt::ElementType::F32, data));
+        refbackrt::ElementType::F32, data));
   }
 
   // Invoke the RefBackend function.
-  // TODO: The mishmash of terminology "npcomprt", "refback", "npcomp" in this
+  auto expectedOutputs = jitModule.invoke(invokeFunction, refbackInputs);
-  // file is getting out of hand.
-  auto expectedOutputs = jitModule.invoke(invokeFunction, npcomprtInputs);
   if (!expectedOutputs)
     return expectedOutputs.takeError();
-  auto npcomprtOutputs = std::move(*expectedOutputs);
+  auto refbackrtOutputs = std::move(*expectedOutputs);
 
   std::vector<at::Tensor> results;
-  for (auto output : npcomprtOutputs) {
+  for (auto output : refbackrtOutputs) {
     std::vector<int64_t> sizes(output->getExtents().data(),
                                output->getExtents().data() +
                                    output->getExtents().size());

tools/npcomp-run-mlir/npcomp-run-mlir.cpp

@@ -35,7 +35,7 @@ static Error make_string_error(const Twine &message) {
                                        llvm::inconvertibleErrorCode());
 }
 
-static Expected<npcomprt::Ref<npcomprt::Tensor>>
+static Expected<refbackrt::Ref<refbackrt::Tensor>>
 convertAttrToTensor(Attribute attr) {
   auto type = attr.getType().dyn_cast<RankedTensorType>();
   if (!type)
@@ -47,18 +47,18 @@ convertAttrToTensor(Attribute attr) {
     if (elementType.isF32()) {
       auto values = llvm::to_vector<100>(llvm::map_range(
           denseFp, [](APFloat f) { return f.convertToFloat(); }));
-      return npcomprt::Tensor::create(
+      return refbackrt::Tensor::create(
-          npcomprt::ArrayRef<std::int32_t>(extents.data(), extents.size()),
+          refbackrt::ArrayRef<std::int32_t>(extents.data(), extents.size()),
-          npcomprt::ElementType::F32, static_cast<void *>(values.data()));
+          refbackrt::ElementType::F32, static_cast<void *>(values.data()));
     }
   }
   return make_string_error("unhandled argument");
 }
 
-static Expected<SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6>>
+static Expected<SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6>>
 createInputs(ArrayRef<StringRef> argValues) {
   MLIRContext context;
-  SmallVector<npcomprt::Ref<npcomprt::Tensor>, 6> ret;
+  SmallVector<refbackrt::Ref<refbackrt::Tensor>, 6> ret;
   for (auto argValue : argValues) {
     auto attr = parseAttribute(argValue, &context);
     if (!attr)
@@ -71,14 +71,14 @@ createInputs(ArrayRef<StringRef> argValues) {
   return ret;
 }
 
-static Type convertToMLIRType(npcomprt::ElementType type, Builder &builder) {
+static Type convertToMLIRType(refbackrt::ElementType type, Builder &builder) {
   switch (type) {
-  case npcomprt::ElementType::F32:
+  case refbackrt::ElementType::F32:
     return builder.getF32Type();
   }
 }
 
-static RankedTensorType getCorrespondingMLIRTensorType(npcomprt::Tensor &tensor,
+static RankedTensorType getCorrespondingMLIRTensorType(refbackrt::Tensor &tensor,
                                                        Builder &builder) {
   auto elementType = convertToMLIRType(tensor.getElementType(), builder);
   SmallVector<int64_t, 6> extents;
@@ -87,11 +87,11 @@ static RankedTensorType getCorrespondingMLIRTensorType(npcomprt::Tensor &tensor,
   return RankedTensorType::get(extents, elementType);
 }
 
-static Attribute convertToMLIRAttribute(npcomprt::Tensor &tensor,
+static Attribute convertToMLIRAttribute(refbackrt::Tensor &tensor,
                                         Builder &builder) {
   RankedTensorType type = getCorrespondingMLIRTensorType(tensor, builder);
   switch (tensor.getElementType()) {
-  case npcomprt::ElementType::F32: {
+  case refbackrt::ElementType::F32: {
     SmallVector<float, 100> values;
     auto *basePtr = tensor.getData<float>();
     for (int i = 0, e = type.getNumElements(); i < e; i++)
@@ -101,14 +101,14 @@ static Attribute convertToMLIRAttribute(npcomprt::Tensor &tensor,
   }
 }
 
-static void printOutput(npcomprt::Tensor &tensor, llvm::raw_ostream &os) {
+static void printOutput(refbackrt::Tensor &tensor, llvm::raw_ostream &os) {
   MLIRContext context;
   Builder builder(&context);
   auto attr = convertToMLIRAttribute(tensor, builder);
   attr.print(os);
 }
 
-static void printOutputs(ArrayRef<npcomprt::Ref<npcomprt::Tensor>> outputs,
+static void printOutputs(ArrayRef<refbackrt::Ref<refbackrt::Tensor>> outputs,
                          llvm::raw_ostream &os) {
   for (auto output : llvm::enumerate(outputs)) {
     os << "output #" << output.index() << ": ";