1 files changed, 73 insertions, 0 deletions
diff --git a/mlir/lib/Dialect/QuantOps/Utils/UniformSupport.cpp b/mlir/lib/Dialect/QuantOps/Utils/UniformSupport.cpp
new file mode 100644
index 00000000000..d791075f5db
--- /dev/null
+++ b/mlir/lib/Dialect/QuantOps/Utils/UniformSupport.cpp
@@ -0,0 +1,73 @@
+//===- UniformSupport.cpp - Support utilities for uniform quant -----------===//
+//
+// Copyright 2019 The MLIR Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// =============================================================================
+
+#include "mlir/Dialect/QuantOps/UniformSupport.h"
+#include "mlir/IR/StandardTypes.h"
+
+using namespace mlir;
+using namespace mlir::quant;
+
+static bool isQuantizablePrimitiveType(Type inputType) {
+  return inputType.isa<FloatType>();
+}
+
+const ExpressedToUniformQuantizedConverter
+ExpressedToUniformQuantizedConverter::forInputType(Type inputType) {
+  switch (inputType.getKind()) {
+  default:
+    if (isQuantizablePrimitiveType(inputType)) {
+      // Supported primitive type (which just is the expressed type).
+      return ExpressedToUniformQuantizedConverter{inputType, inputType};
+    }
+    // Unsupported.
+    return ExpressedToUniformQuantizedConverter{inputType, nullptr};
+  case StandardTypes::RankedTensor:
+  case StandardTypes::UnrankedTensor:
+  case StandardTypes::Vector: {
+    Type elementType = inputType.cast<VectorOrTensorType>().getElementType();
+    if (!isQuantizablePrimitiveType(elementType)) {
+      // Unsupported.
+      return ExpressedToUniformQuantizedConverter{inputType, nullptr};
+    }
+    return ExpressedToUniformQuantizedConverter{
+        inputType, inputType.cast<VectorOrTensorType>().getElementType()};
+  }
+  }
+}
+
+Type ExpressedToUniformQuantizedConverter::convert(
+    UniformQuantizedType elementalType) const {
+  assert(expressedType && "convert() on unsupported conversion");
+
+  switch (inputType.getKind()) {
+  default:
+    if (isQuantizablePrimitiveType(elementalType)) {
+      // For primitives, just use the new elemental type.
+      return elementalType;
+    }
+    // Unsupported.
+    return nullptr;
+  case StandardTypes::RankedTensor:
+    return RankedTensorType::get(inputType.cast<RankedTensorType>().getShape(),
+                                 elementalType);
+  case StandardTypes::UnrankedTensor:
+    return UnrankedTensorType::get(elementalType);
+  case StandardTypes::Vector:
+    return VectorType::get(inputType.cast<VectorType>().getShape(),
+                           elementalType);
+  }
+}