Move Quantization -> Dialect/QuantOps, FxpMathOps -> Dialect/FxpMathOps.

    Adding the additional layer of directory was discussed offline and matches the Target/ tree. The names match the defacto convention we seem to be following where the C++ namespace is ^(.+)Ops/$ matched against the directory name.

    This is in preparation for patching the Quantizer into this tree, which would have been confusing without moving the Quantization dialect to its more proper home. It is left to others to move other dialects if desired.

    Tested:
      ninja check-mlir

--

PiperOrigin-RevId: 248171982

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);
+  }
+}