4b0a236848
Also fix a TODO in XlaOpRegistry to filter by the types allowed by the OpDef. Also see #14798 PiperOrigin-RevId: 177986664
34 lines
1.3 KiB
C++
34 lines
1.3 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_TF2XLA_SUPPORTED_OPS_H_
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#define TENSORFLOW_COMPILER_TF2XLA_TF2XLA_SUPPORTED_OPS_H_
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namespace tensorflow {
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namespace tf2xla {
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// The implementation of a main function for a binary that prints a table of
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// supported tf2xla operators for a given device, along with their type
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// constraints, to stdout.
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//
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// Pass the argc and argv from main, unmodified. Use regen_run to specify the
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// command used to regenerate the table.
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void SupportedOpsMain(int argc, char** argv, const char* regen_run);
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} // namespace tf2xla
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_TF2XLA_SUPPORTED_OPS_H_
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