/* Copyright 2017 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.
==============================================================================*/

// Provides definitions needed for use of the TensorFlow XLA
// device.

#ifndef TENSORFLOW_COMPILER_JIT_DEFS_H_
#define TENSORFLOW_COMPILER_JIT_DEFS_H_

namespace tensorflow {
namespace tao {

// TODO(yancey): we should merge "kXla..." and "kReuseXla..." into "kDisc..."

// Name of attribute used to tag operators for compilation with XLA

// Implies must-compile semantics: either it will be compiled
// with XLA, or an error will be thrown.
extern const char* const kXlaMustCompileAttr;  // "_XlaMustCompile"

// Implies auto-clustering: tagged nodes will be clustered and compiled with XLA
// on a best-effort basis.
extern const char* const kXlaCompileAttr;  // "_XlaCompile"
extern const char* const kReuseXlaCompileAttr;

// Implies auto-clustering within the given scope.
extern const char* const kXlaScopeAttr;  // "_XlaScope"
extern const char* const kReuseXlaScopeAttr;

extern const char* const kXlaInternalScopeAttr;  // "_XlaInternalScope"

}  // namespace tao
}  // namespace tensorflow

#endif  // TENSORFLOW_COMPILER_JIT_DEFS_H_
