59 lines
2.5 KiB
C++
59 lines
2.5 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef THIRD_PARTY_TENSORFLOW_COMPILER_MLIR_MLIR_BRIDGE_ROLLOUT_POLICY_H_
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#define THIRD_PARTY_TENSORFLOW_COMPILER_MLIR_MLIR_BRIDGE_ROLLOUT_POLICY_H_
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#include "absl/types/optional.h"
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#include "tensorflow/core/graph/graph.h"
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#include "tensorflow/core/protobuf/config.pb.h"
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namespace tensorflow {
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enum class MlirBridgeRolloutPolicy {
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// The MLIR bridge is explicitly disabled by the user and must not be run.
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kDisabledByUser = 0,
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// The MLIR bridge is explicitly enabled by the user and must be run. If the
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// MLIR bridge errors, the fallback path should NOT be used.
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kEnabledByUser,
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// The bridge was not explicitly enabled or disabled by the user. Based on the
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// features in the model, the MLIR bridge should not be run.
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kDisabledAfterGraphAnalysis,
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// The bridge was not explicitly enabled or disabled by the user. Based on the
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// features in the model, the MLIR bridge should be run. If the MLIR Bridge
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// errors, the fallback path should be used whenever possible.
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kEnabledAfterGraphAnalysis,
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};
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// Analyzes the user requested policy as well as the contents of the graph and
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// returns true when the MLIR Bridge should be run.
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//
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// If the user explicitly requests the bridge be enabled or disabled, this
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// function will respect the request. If the user does not explicitly request
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// enabled or disabled, it will decide whether or not to run the bridge.
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//
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// The config_proto param is a required input for all TF1 graphs but it is
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// redundant for TF2 graphs.
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// If getting rollout policy involves graph analysis, `record_stats` is used
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// to decide whether to emit metrics on unsupported features of the graph.
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MlirBridgeRolloutPolicy GetMlirBridgeRolloutPolicy(
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const tensorflow::Graph& graph,
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absl::optional<tensorflow::ConfigProto> config_proto,
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bool record_stats = false);
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} // namespace tensorflow
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#endif // THIRD_PARTY_TENSORFLOW_COMPILER_MLIR_MLIR_BRIDGE_ROLLOUT_POLICY_H_
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