STT-tensorflow/tensorflow/compiler/xla/service/hlo_lexer.h
Mark Heffernan 881f58d20c Enable arbitrary comments in HLO in both /*...*/ and // forms.
Allow '/*...*/' and '//' comments to appear anywhere in HLO text, including multi-line comments. Previously only '/*...*/' comments were only allowed and only in certain locations in a serialized Literal.

PiperOrigin-RevId: 208519204
2018-08-13 12:08:21 -07:00

132 lines
4.0 KiB
C++

/* 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.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_LEXER_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_LEXER_H_
#include <string>
#include "tensorflow/compiler/xla/service/hlo_token.h"
#include "tensorflow/compiler/xla/types.h"
#include "tensorflow/compiler/xla/xla_data.pb.h"
#include "tensorflow/core/lib/core/stringpiece.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/regexp.h"
#include "tensorflow/core/platform/types.h"
namespace xla {
// Lexer for the HloModule::ToString() format text.
//
// This class is meant to be used by hlo_parser.cc. You shouldn't need to use
// it directly.
class HloLexer {
public:
explicit HloLexer(tensorflow::StringPiece buf) : buf_(buf) {
current_ptr_ = buf_.begin();
}
TokKind Lex() { return current_kind_ = LexToken(); }
TokKind GetKind() const { return current_kind_; }
string GetStrVal() const {
switch (GetKind()) {
case TokKind::kName:
case TokKind::kAttributeName:
case TokKind::kDimLabels:
case TokKind::kDxD:
case TokKind::kPad:
case TokKind::kString:
case TokKind::kIdent:
return str_val_;
default:
LOG(FATAL) << "This token does not have string value";
}
}
Shape GetShapeVal() const {
CHECK(GetKind() == TokKind::kShape);
return shape_val_;
}
tensorflow::int64 GetInt64Val() const {
CHECK(GetKind() == TokKind::kInt);
return int64_val_;
}
double GetDecimalVal() const {
CHECK(GetKind() == TokKind::kDecimal);
return decimal_val_;
}
typedef const char* LocTy;
// Returns the location of the current token.
LocTy GetLoc() const { return token_start_; }
// Returns the line and column of a location in the buffer.
std::pair<unsigned, unsigned> GetLineAndColumn(LocTy location) const;
// Returns the whole line given the location.
tensorflow::StringPiece GetLine(LocTy loc) const;
private:
// Returns the current character. If it's neither the end of input buffer nor
// an invalid character, moves the pointer forward.
int GetNextChar();
// Returns the current character.
int PeekCurrentChar() const;
// Creates StringPiece with the given begin and end. Exits if the begin > end,
// or it's out of the range of the current buffer.
tensorflow::StringPiece StringPieceFromPointers(const char* begin,
const char* end) const;
tensorflow::RegexpStringPiece RegexpStringPieceFromPointers(
const char* begin, const char* end) const;
// Returns true if the given ptr is dereferenceable within the range of the
// current buffer.
bool CanDereference(const char* ptr) const;
TokKind LexToken();
TokKind LexIdentifier();
TokKind LexPercent();
TokKind LexShape();
TokKind LexConstant();
TokKind LexNumberOrPattern();
TokKind LexString();
const tensorflow::StringPiece buf_;
const char* current_ptr_;
// Information about the current token.
const char* token_start_;
TokKind current_kind_;
string str_val_;
Shape shape_val_;
tensorflow::int64 int64_val_;
double decimal_val_;
struct LineNoCacheTy {
const char* last_query;
unsigned line_no_of_query;
};
// This caches the line number of the previous query.
mutable LineNoCacheTy line_no_cache_{nullptr, 0};
};
} // namespace xla
#endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_LEXER_H_