1 | /* Copyright 2022 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #ifndef TENSORFLOW_DTENSOR_MLIR_SHAPE_UTILS_H_ |
17 | #define TENSORFLOW_DTENSOR_MLIR_SHAPE_UTILS_H_ |
18 | |
19 | #include "llvm/ADT/ArrayRef.h" |
20 | #include "mlir/IR/Operation.h" // from @llvm-project |
21 | #include "mlir/IR/Value.h" // from @llvm-project |
22 | #include "tensorflow/dtensor/cc/dstatus.h" |
23 | |
24 | namespace tensorflow { |
25 | namespace dtensor { |
26 | |
27 | StatusOr<llvm::ArrayRef<int64_t>> ExtractGlobalInputShape( |
28 | mlir::OpOperand& input_value); |
29 | |
30 | StatusOr<llvm::ArrayRef<int64_t>> ( |
31 | mlir::OpResult result_value); |
32 | |
33 | // Returns op with recalculated local shape of `op` given all it's operands. |
34 | mlir::Operation* InferSPMDExpandedLocalShape(mlir::Operation* op); |
35 | |
36 | // Gets the shape of a Value if the type is a RankedTensorType, otherwise |
37 | // returns an error. |
38 | StatusOr<llvm::ArrayRef<int64_t>> GetShapeOfValue(const mlir::Value& value, |
39 | bool fail_on_dynamic = false); |
40 | |
41 | // If the producer or consumer of this value is a DTensorLayout, retrieves |
42 | // the global shape from that layout, otherwise returns an error. |
43 | StatusOr<llvm::ArrayRef<int64_t>> GetGlobalShapeOfValueFromDTensorLayout( |
44 | const mlir::Value& value); |
45 | |
46 | } // namespace dtensor |
47 | } // namespace tensorflow |
48 | |
49 | #endif // TENSORFLOW_DTENSOR_MLIR_SHAPE_UTILS_H_ |
50 | |