wehub-resource-sync
77 lines
3.4 KiB
C++
77 lines
3.4 KiB
C++
/* Copyright 2017 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 TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_CONTROL_FLOW_H_
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#define TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_CONTROL_FLOW_H_
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#include "tensorflow/compiler/tf2xla/functionalize_control_flow_util.h"
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#include "xla/status_macros.h"
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#include "tensorflow/core/common_runtime/optimization_registry.h"
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#include "tensorflow/core/framework/function.h"
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#include "tensorflow/core/graph/graph.h"
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namespace tensorflow {
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const char kFunctionalizeControlFlowFailureMessage[] =
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"Failed to functionalize Control Flow V1 ops. Consider using Control "
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"Flow V2 ops instead. See "
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"https://www.tensorflow.org/api_docs/python/tf/"
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"compat/v1/enable_control_flow_v2.";
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// Transformation that converts tf.while_loop() loops into functional While
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// operators and tf.cond() conditionals into function If operators, suitable for
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// XLA compilation.
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//
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// If `node_filter` is defined, then only loops and conditions for whose
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// nodes `node_filter` returns true are functionalized.
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// If `include_functions` is true, then loops and conditions inside of functions
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// that are associated with nodes in `graph` (e.g., a function called from a
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// node in `graph`) are also functionalized, otherwise they are not.
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// This also handles transitive cases, e.g., a function body will be
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// functionalized when it is called in another function that is called by some
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// node in `graph` (and so on). The node filter also applies here.
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//
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// Precondition:
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// For any node in a loop or condition for which `node_filter` returns true,
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// all nodes inside of the same loop or condition must also return true
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// (including nodes in other nested loops and conditions inside of that loop or
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// condition).
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// This means that a "not to be functionalized" loop or condition is not allowed
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// inside a "to be functionalized" loop or condition.
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//
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// The user of this function is responsible for using a node filter that
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// satisfies the above conditions.
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absl::Status FunctionalizeControlFlow(Graph* graph,
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FunctionLibraryDefinition* library,
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const NodeFilter& node_filter = {},
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bool include_functions = false);
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absl::Status FunctionalizeControlFlowForGraphDef(
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GraphDef* graph_def, FunctionLibraryDefinition* library,
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const NodeFilter& node_filter = {}, bool include_functions = false);
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// Rewrites the graph by turning V1 control flow structure
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// (Switch/Merge/etc.) into V2 control flow structure (If/While), only modifies
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// functions that will be executed by XLA.
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class FunctionalizeControlFlowForXlaPass : public GraphOptimizationPass {
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public:
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absl::Status Run(const GraphOptimizationPassOptions& options) override;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_CONTROL_FLOW_H_
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