375654d0ff
Previously, must-compilation semantics resulting from experimental_compile=True used the attribute _XlaCompile, which is the same one as used by auto-clustering to mark nodes to compile. This can result in a number of unfortunate collisions. PiperOrigin-RevId: 286678704 Change-Id: If3b58f18eb4116ae81ef266ebc6bdc8cab600e97
32 lines
1.1 KiB
C++
32 lines
1.1 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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#include "tensorflow/compiler/jit/defs.h"
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namespace tensorflow {
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const char* const kXlaMustCompileAttr = "_XlaMustCompile";
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const char* const kXlaCompileAttr = "_XlaCompile";
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// User-provided through jit_scope APIs. Effective only when auto_jit is OFF.
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const char* const kXlaScopeAttr = "_XlaScope";
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// Automatically inserted by auto_jit to guide clustering results. Effective
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// only when auto_jit is ON.
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const char* const kXlaInternalScopeAttr = "_XlaInternalScope";
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} // namespace tensorflow
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