| /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| |
| 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_EIGH_EXPANDER_H_ |
| #define TENSORFLOW_COMPILER_XLA_SERVICE_EIGH_EXPANDER_H_ |
| |
| #include "absl/container/flat_hash_map.h" |
| #include "tensorflow/compiler/xla/client/xla_builder.h" |
| #include "tensorflow/compiler/xla/service/op_expander_pass.h" |
| |
| namespace xla { |
| |
| class EighExpander : public OpExpanderPass { |
| public: |
| absl::string_view name() const override { return "eigh_expander"; } |
| |
| protected: |
| bool InstructionMatchesPattern(HloInstruction* instruction) override; |
| |
| StatusOr<HloInstruction*> ExpandInstruction( |
| HloInstruction* instruction) override; |
| |
| virtual XlaOp BuildEigh(XlaOp a, bool lower, int64 max_iter, float tol); |
| |
| Status SortByEigenvalues(XlaOp& v, XlaOp& w); |
| |
| private: |
| // Mapping from op signatures to existing computations. |
| absl::flat_hash_map<string, HloComputation*> computation_cache_; |
| }; |
| |
| } // namespace xla |
| |
| #endif // TENSORFLOW_COMPILER_XLA_SERVICE_EIGH_EXPANDER_H_ |