3RNN/Lib/site-packages/tensorflow/include/xla/service/result_caster.h
2024-05-26 19:49:15 +02:00

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/* Copyright 2021 The OpenXLA Authors.
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 XLA_SERVICE_RESULT_CASTER_H_
#define XLA_SERVICE_RESULT_CASTER_H_
#include "xla/hlo/ir/hlo_module.h"
#include "xla/service/op_expander_pass.h"
namespace xla {
// Inserts Convert to result of instructions to the preferred element type
// specified by the instructions when direct accumulation of that type isn't
// supported by the backend. This pass should run after OperandUpcaster.
class ResultCaster : public OpExpanderPass {
public:
explicit ResultCaster(HloPredicate extra_filter = nullptr)
: OpExpanderPass(std::move(extra_filter)) {}
absl::string_view name() const override { return "result_caster"; }
protected:
bool InstructionMatchesPattern(HloInstruction* instruction) override;
StatusOr<HloInstruction*> ExpandInstruction(
HloInstruction* instruction) override;
};
} // namespace xla
#endif // XLA_SERVICE_RESULT_CASTER_H_