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//===- 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<ShapedType>().getElementType();
if (!isQuantizablePrimitiveType(elementType)) {
// Unsupported.
return ExpressedToUniformQuantizedConverter{inputType, nullptr};
}
return ExpressedToUniformQuantizedConverter{
inputType, inputType.cast<ShapedType>().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);
}
}
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