This is a initial stage. It currently supports: - unary, binary, ternary ops, and other ops that don't have extra attributes. - module with entry computation only. - simple cases for constant instruction. To make the parser simpler, this cl removes a whitespace and adds a '%' before the computation name in HloComputation::ToString(). Further steps will enable parsing subcomputations, more cases of constants, tuple, and ops that require extra attributes (e.g., broadcast dimensions, subcomputation). PiperOrigin-RevId: 172804214
38 lines
1.5 KiB
C++
38 lines
1.5 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_XLA_TOOLS_PARSER_HLO_PARSER_H_
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#define TENSORFLOW_COMPILER_XLA_TOOLS_PARSER_HLO_PARSER_H_
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#include "tensorflow/compiler/xla/ptr_util.h"
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#include "tensorflow/compiler/xla/service/hlo_computation.h"
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#include "tensorflow/compiler/xla/service/hlo_instruction.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/tools/parser/hlo_lexer.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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namespace xla {
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namespace tools {
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// The api of the hlo parser. Given a string in the HloModule::ToString()
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// format, returns the parsed HloModule.
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StatusOr<std::unique_ptr<HloModule>> Parse(tensorflow::StringPiece str);
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} // namespace tools
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_TOOLS_PARSER_HLO_PARSER_H_
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