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 #include "tensorflow/dtensor/mlir/sparse_expander.h" 17 18 #include <memory> 19 #include <string> 20 21 #include "absl/container/flat_hash_map.h" 22 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" 23 #include "tensorflow/dtensor/mlir/op_utils.h" 24 #include "tensorflow/dtensor/mlir/sparse_expander_common.h" 25 26 namespace tensorflow { 27 namespace dtensor { 28 29 // static Global()30SparseExpanderRegistry* SparseExpanderRegistry::Global() { 31 static SparseExpanderRegistry* registry = new SparseExpanderRegistry(); 32 return registry; 33 } 34 GetSparseExpansionFnForOp(mlir::Operation * op)35SparseExpanderBase* SparseExpanderRegistry::GetSparseExpansionFnForOp( 36 mlir::Operation* op) { 37 auto key = OpName(op); 38 auto fn = op_to_sparse_expansion_fn_map_.find(key); 39 if (fn == op_to_sparse_expansion_fn_map_.end()) return nullptr; 40 return fn->second.get(); 41 } 42 RegisterSparseExpansionFn(std::string opName,std::unique_ptr<SparseExpanderBase> prop)43InitOnStartupMarker SparseExpanderRegistry::RegisterSparseExpansionFn( 44 std::string opName, std::unique_ptr<SparseExpanderBase> prop) { 45 CHECK(op_to_sparse_expansion_fn_map_ // Crash ok 46 .insert_or_assign(opName, std::move(prop)) 47 .second); 48 return {}; 49 } 50 RunSparseExpansion(mlir::Operation * op,mlir::Operation ** output)51Status RunSparseExpansion(mlir::Operation* op, mlir::Operation** output) { 52 // Only expand if there are any SparseTensor inputs. 53 if (HasAnySparseInput(op)) { 54 SparseExpanderBase* expander = 55 SparseExpanderRegistry::Global()->GetSparseExpansionFnForOp(op); 56 if (expander != nullptr) { 57 auto expanded_op = expander->ExpandOp(op); 58 if (expanded_op.ok()) *output = expanded_op.ValueOrDie(); 59 return expanded_op.status(); 60 } else { 61 VLOG(1) << "No sparse expansion found for " << OpName(op) << "\n"; 62 *output = op; 63 } 64 } else { // If there is no SparseTensor inputs then just return the op. 65 *output = op; 66 } 67 return OkStatus(); 68 } 69 70 } // namespace dtensor 71 } // namespace tensorflow 72