98 lines
3.3 KiB
C
98 lines
3.3 KiB
C
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/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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// This file defines the attributes used in the TensorFlow dialect.
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#ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_ATTRIBUTES_H_
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#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_ATTRIBUTES_H_
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#include "llvm/ADT/StringRef.h"
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#include "mlir/IR/BuiltinAttributes.h" // from @llvm-project
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#include "mlir/IR/BuiltinTypes.h" // from @llvm-project
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#include "mlir/IR/MLIRContext.h" // from @llvm-project
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namespace mlir {
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namespace TF {
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namespace detail {
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struct ShapeAttrStorage;
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struct FuncAttrStorage;
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} // namespace detail
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class ShapeAttr : public Attribute::AttrBase<ShapeAttr, Attribute,
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detail::ShapeAttrStorage>
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{
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public:
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using Base::Base;
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// Get or create a shape attribute. If shape is llvm::None, then it is
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// unranked. Otherwise it is ranked. And for ranked shapes, the value of the
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// dimension size must be >= -1. The value of -1 means the dimension is
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// dynamic. Otherwise, the dimension is static.
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static ShapeAttr get(mlir::MLIRContext* context,
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llvm::Optional<ArrayRef<int64_t> > shape);
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// Get or create a shape attribute from a ShapedType type.
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static ShapeAttr get(mlir::MLIRContext* context, ShapedType shaped_type);
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llvm::Optional<ArrayRef<int64_t> > getValue() const;
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bool hasRank() const;
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// If this is ranked, return the rank. Otherwise, abort.
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int64_t getRank() const;
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// If this is ranked, return the shape. Otherwise, abort.
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ArrayRef<int64_t> getShape() const;
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// If this is unranked type or any dimension has unknown size (<0), it doesn't
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// have static shape. If all dimensions have known size (>= 0), it has static
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// shape.
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bool hasStaticShape() const;
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};
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// Custom attribute to model AttrValue.value.func (NameAttrList type attribute).
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// This attribute holds a SymbolRefAttr, for the NameAttrList.name string and a
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// DictionaryAttr for the NameAttrList.attr map<string, AttrValue>. It is
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// currently printed and parsed for the following format:
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//
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// #tf.func<@symbol, {attr = "value"}>
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//
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// where the first element is the SymbolRefAttr and the second element is the
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// DictionaryAttr.
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class FuncAttr
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: public Attribute::AttrBase<FuncAttr, Attribute, detail::FuncAttrStorage>
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{
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public:
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using Base::Base;
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static FuncAttr get(mlir::MLIRContext* context, llvm::StringRef name,
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DictionaryAttr attr);
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static FuncAttr get(mlir::MLIRContext* context, SymbolRefAttr symbol,
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DictionaryAttr attr);
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SymbolRefAttr GetName() const;
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DictionaryAttr GetAttrs() const;
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};
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} // namespace TF
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} // namespace mlir
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#endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_ATTRIBUTES_H_
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