To make this possible, add HloParser interface which only allows VerifiedHloModule to instantiate a parser and make the private HloParser class a HloParserImpl child class. Also use std::string instead of string in hlo_parser.cc. Finally add the verification at the end of the parsing instead of calling Verify() at various call sites. PiperOrigin-RevId: 276055152 Change-Id: I647e7a14e1ff9ae0aa1ba764af8718c753226e6b
66 lines
2.6 KiB
C++
66 lines
2.6 KiB
C++
/* Copyright 2019 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_TESTS_VERIFIED_HLO_MODULE_H_
|
|
#define TENSORFLOW_COMPILER_XLA_TESTS_VERIFIED_HLO_MODULE_H_
|
|
|
|
#include <functional>
|
|
|
|
#include "absl/strings/string_view.h"
|
|
#include "tensorflow/compiler/xla/service/hlo_module.h"
|
|
#include "tensorflow/compiler/xla/service/hlo_module_config.h"
|
|
#include "tensorflow/compiler/xla/service/hlo_verifier.h"
|
|
#include "tensorflow/compiler/xla/shape.h"
|
|
#include "tensorflow/compiler/xla/types.h"
|
|
#include "tensorflow/core/lib/core/status.h"
|
|
|
|
namespace xla {
|
|
|
|
// An HLO module derived class which verifies itself on destruction. This class
|
|
// is intended to be used in unit tests. Any verification errors are raised via
|
|
// ADD_FAILURE.
|
|
class VerifiedHloModule : public HloModule {
|
|
public:
|
|
VerifiedHloModule(const string& name, const HloModuleConfig& config,
|
|
bool verifier_layout_sensitive,
|
|
bool allow_mixed_precision_in_hlo_verifier,
|
|
std::function<int64(const Shape&)> shape_size_function)
|
|
: HloModule(name, config),
|
|
verifier_(
|
|
verifier_layout_sensitive, allow_mixed_precision_in_hlo_verifier,
|
|
/*instruction_can_change_layout_func=*/{}, shape_size_function) {}
|
|
|
|
~VerifiedHloModule() override { VerifyOrAddFailure("in destructor"); }
|
|
|
|
// Given a string in the HloModule::ToString() format, parses the string and
|
|
// builds the VerifiedHloModule in place. Before calling this method, the
|
|
// module must be empty (no computations). Finally verifies the module using
|
|
// HloVerifier and returns the status.
|
|
Status ParseHloStringAndVerifyModule(absl::string_view str);
|
|
|
|
// Verifies the module and flags any error with ADD_FAILURE. 'message' is
|
|
// included in the failure message.
|
|
void VerifyOrAddFailure(absl::string_view message);
|
|
|
|
private:
|
|
// Verifies the module using HloVerifier and returns the status.
|
|
Status Verify();
|
|
|
|
HloVerifier verifier_;
|
|
};
|
|
|
|
} // namespace xla
|
|
|
|
#endif // TENSORFLOW_COMPILER_XLA_TESTS_VERIFIED_HLO_MODULE_H_
|