62 lines
2.6 KiB
C++
62 lines
2.6 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/xla/tools/prepare_reference_module.h"
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#include <functional>
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#include <memory>
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#include "tensorflow/compiler/xla/debug_options_flags.h"
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#include "tensorflow/compiler/xla/service/despecializer.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/service/hlo_module_config.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/xla.pb.h"
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#include "tensorflow/core/platform/errors.h"
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#include "tensorflow/stream_executor/lib/status.h"
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#include "tensorflow/stream_executor/platform.h"
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namespace xla {
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StatusOr<std::unique_ptr<HloModule>> PrepareReferenceModule(
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const HloModule& test_module,
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const ::stream_executor::Platform::Id& test_platform_id,
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const std::function<void(HloModuleConfig*)>& config_modifier_hook,
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const std::function<Status(const HloModule&,
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const ::stream_executor::Platform::Id&,
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HloModule*)>& module_modifier_hook) {
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DebugOptions debug_options = GetDebugOptionsFromFlags();
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// The combination of fast math and optimizations leads to unsound code
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// transformations (see third_party/tensorflow/compiler/xla/xla.proto for
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// details). The test platform should not change this from the default.
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debug_options.set_xla_cpu_enable_fast_math(false);
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debug_options.set_xla_gpu_enable_fast_min_max(false);
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HloModuleConfig reference_config = test_module.config();
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reference_config.set_debug_options(debug_options);
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if (config_modifier_hook) {
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config_modifier_hook(&reference_config);
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}
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std::unique_ptr<HloModule> reference_module =
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test_module.Clone(reference_config, "reference");
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if (module_modifier_hook) {
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TF_RETURN_IF_ERROR(module_modifier_hook(test_module, test_platform_id,
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reference_module.get()));
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} else {
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TF_RETURN_IF_ERROR(Despecializer().Run(reference_module.get()).status());
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}
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return std::move(reference_module);
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}
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}; // namespace xla
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