| /* Copyright 2018 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. |
| ==============================================================================*/ |
| |
| #include "tensorflow/compiler/xla/service/despecializer.h" |
| |
| #include "tensorflow/compiler/xla/service/bfloat16_normalization.h" |
| #include "tensorflow/compiler/xla/service/defuser.h" |
| #include "tensorflow/compiler/xla/service/implicit_broadcast_remover.h" |
| |
| namespace xla { |
| |
| namespace { |
| |
| // Pass which strips control dependencies from all instructions in the module. |
| class ControlDepRemover : public HloPassInterface { |
| public: |
| ControlDepRemover() = default; |
| absl::string_view name() const override { return "control-dep-remover"; } |
| |
| StatusOr<bool> Run(HloModule* module) override { |
| bool changed = false; |
| for (HloComputation* computation : module->computations()) { |
| for (HloInstruction* instruction : computation->instructions()) { |
| changed = changed || !instruction->control_predecessors().empty(); |
| TF_RETURN_IF_ERROR(instruction->DropAllControlDeps()); |
| } |
| } |
| return changed; |
| } |
| }; |
| |
| } // namespace |
| |
| Despecializer::Despecializer() : pipeline_("despecializer") { |
| // TODO(b/70588125): Also deal with window reversal in a fast way. |
| pipeline_.AddPass<ControlDepRemover>(); |
| pipeline_.AddPass<Defuser>(); |
| pipeline_.AddPass<ImplicitBroadcastRemover>(); |
| pipeline_.AddPass<BFloat16MixedPrecisionRemoval>(); |
| } |
| |
| StatusOr<bool> Despecializer::Run(HloModule* module) { |
| return pipeline_.Run(module); |
| } |
| |
| } // namespace xla |