wehub-resource-sync
65 lines
2.1 KiB
C++
65 lines
2.1 KiB
C++
/* Copyright 2019 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/mlir/init_mlir.h"
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#include "llvm/ADT/StringRef.h"
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#include "llvm/Support/CommandLine.h"
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#include "llvm/Support/PrettyStackTrace.h"
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#include "tensorflow/core/platform/init_main.h"
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static llvm::cl::extrahelp FlagSplittingHelp(R"(
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The command line parsing is split between the two flag parsing libraries used by
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TensorFlow and LLVM:
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* Flags before the first '--' are parsed by tensorflow::InitMain while those
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post are parsed by LLVM's command line parser.
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* If there is no separator, then no flags are parsed by InitMain and only
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LLVM command line parser used.e
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The above help options reported are for LLVM's parser, run with `--help --` for
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TensorFlow's help.
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)");
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namespace tensorflow {
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InitMlir::InitMlir(int *argc, char ***argv) {
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llvm::setBugReportMsg(
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"TensorFlow crashed, please file a bug on "
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"https://github.com/tensorflow/tensorflow/issues with the trace "
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"below.\n");
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constexpr char kSeparator[] = "--";
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// Find index of separator between two sets of flags.
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int pass_remainder = 1;
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bool split = false;
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for (int i = 0; i < *argc; ++i) {
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if (llvm::StringRef((*argv)[i]) == kSeparator) {
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pass_remainder = i;
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*argc -= (i + 1);
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split = true;
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break;
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}
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}
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tensorflow::port::InitMain((*argv)[0], &pass_remainder, argv);
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if (split) {
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*argc += pass_remainder;
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(*argv)[1] = (*argv)[0];
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++*argv;
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}
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}
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} // namespace tensorflow
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