Peter Hawkins cf0f741491 [XLA] Make Cholesky into a first-class HLO operator.
Currently it is expanded into an HLO implementation on all backends.

PiperOrigin-RevId: 235814360
2019-02-26 16:31:27 -08:00

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1.4 KiB
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/* 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_CHOLESKY_EXPANDER_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_CHOLESKY_EXPANDER_H_
#include "absl/container/flat_hash_map.h"
#include "tensorflow/compiler/xla/service/op_expander_pass.h"
namespace xla {
class CholeskyExpander : public OpExpanderPass {
public:
absl::string_view name() const override { return "cholesky_expander"; }
protected:
bool InstructionMatchesPattern(HloInstruction* instruction) override;
StatusOr<HloInstruction*> ExpandInstruction(
HloInstruction* instruction) override;
private:
// Mapping from op signatures to existing computations.
absl::flat_hash_map<string, HloComputation*> computation_cache_;
};
} // namespace xla
#endif // TENSORFLOW_COMPILER_XLA_SERVICE_CHOLESKY_EXPANDER_H_