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

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/* Copyright 2022 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_BROADCAST_CANONICALIZER_H_
#define XLA_SERVICE_BROADCAST_CANONICALIZER_H_
#include <optional>
#include "xla/service/hlo_pass_interface.h"
namespace xla {
// This transform ensures that dimensions in all broadcast operations are
// sorted.
class BroadcastCanonicalizer : public HloModulePass {
public:
explicit BroadcastCanonicalizer();
absl::string_view name() const override { return "broadcast_canonicalizer"; }
using HloPassInterface::Run;
StatusOr<bool> Run(
HloModule* module,
const absl::flat_hash_set<absl::string_view>& execution_threads) override;
};
} // namespace xla
#endif // XLA_SERVICE_BROADCAST_CANONICALIZER_H_