090662c5f3
This is in preparation for making it also support/be a parent class of MemRefType. MemRefs have similar shape/rank/element semantics and it would be useful to be able to use these same utilities for them.
This CL should not change any semantics and only change variables, types, string literals, and comments. In follow-up CLs I will prepare all callers to handle MemRef types or remove their dependence on ShapedType.
Discussion/Rationale in https://groups.google.com/a/tensorflow.org/forum/#!topic/mlir/cHLoyfGu8y8
--
PiperOrigin-RevId: 248476449
74 lines
2.6 KiB
C++
74 lines
2.6 KiB
C++
//===- UniformSupport.cpp - Support utilities for uniform quant -----------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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#include "mlir/Dialect/QuantOps/UniformSupport.h"
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#include "mlir/IR/StandardTypes.h"
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using namespace mlir;
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using namespace mlir::quant;
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static bool isQuantizablePrimitiveType(Type inputType) {
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return inputType.isa<FloatType>();
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}
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const ExpressedToUniformQuantizedConverter
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ExpressedToUniformQuantizedConverter::forInputType(Type inputType) {
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switch (inputType.getKind()) {
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default:
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if (isQuantizablePrimitiveType(inputType)) {
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// Supported primitive type (which just is the expressed type).
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return ExpressedToUniformQuantizedConverter{inputType, inputType};
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}
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// Unsupported.
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return ExpressedToUniformQuantizedConverter{inputType, nullptr};
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case StandardTypes::RankedTensor:
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case StandardTypes::UnrankedTensor:
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case StandardTypes::Vector: {
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Type elementType = inputType.cast<ShapedType>().getElementType();
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if (!isQuantizablePrimitiveType(elementType)) {
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// Unsupported.
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return ExpressedToUniformQuantizedConverter{inputType, nullptr};
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}
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return ExpressedToUniformQuantizedConverter{
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inputType, inputType.cast<ShapedType>().getElementType()};
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}
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}
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}
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Type ExpressedToUniformQuantizedConverter::convert(
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UniformQuantizedType elementalType) const {
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assert(expressedType && "convert() on unsupported conversion");
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switch (inputType.getKind()) {
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default:
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if (isQuantizablePrimitiveType(elementalType)) {
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// For primitives, just use the new elemental type.
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return elementalType;
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}
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// Unsupported.
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return nullptr;
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case StandardTypes::RankedTensor:
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return RankedTensorType::get(inputType.cast<RankedTensorType>().getShape(),
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elementalType);
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case StandardTypes::UnrankedTensor:
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return UnrankedTensorType::get(elementalType);
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case StandardTypes::Vector:
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return VectorType::get(inputType.cast<VectorType>().getShape(),
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elementalType);
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}
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}
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