public void MergeFrom(RewriterConfig other)
 {
     if (other == null)
     {
         return;
     }
     if (other.OptimizeTensorLayout != false)
     {
         OptimizeTensorLayout = other.OptimizeTensorLayout;
     }
     if (other.DisableModelPruning != false)
     {
         DisableModelPruning = other.DisableModelPruning;
     }
     if (other.ConstantFolding != false)
     {
         ConstantFolding = other.ConstantFolding;
     }
     if (other.MemoryOptimization != 0)
     {
         MemoryOptimization = other.MemoryOptimization;
     }
     if (other.autoParallel_ != null)
     {
         if (autoParallel_ == null)
         {
             autoParallel_ = new global::Tensorflow.AutoParallelOptions();
         }
         AutoParallel.MergeFrom(other.AutoParallel);
     }
     optimizers_.Add(other.optimizers_);
 }
Exemple #2
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        public void MergeFrom(pb::CodedInputStream input)
        {
            uint tag;

            while ((tag = input.ReadTag()) != 0)
            {
                switch (tag)
                {
                default:
                    input.SkipLastField();
                    break;

                case 8: {
                    OptimizeTensorLayout = input.ReadBool();
                    break;
                }

                case 16: {
                    DisableModelPruning = input.ReadBool();
                    break;
                }

                case 24: {
                    constantFolding_ = (global::Tensorflow.RewriterConfig.Types.Toggle)input.ReadEnum();
                    break;
                }

                case 32: {
                    memoryOptimization_ = (global::Tensorflow.RewriterConfig.Types.MemOptType)input.ReadEnum();
                    break;
                }

                case 42: {
                    if (autoParallel_ == null)
                    {
                        autoParallel_ = new global::Tensorflow.AutoParallelOptions();
                    }
                    input.ReadMessage(autoParallel_);
                    break;
                }

                case 50: {
                    MemoryOptimizerTargetNodeNamePrefix = input.ReadString();
                    break;
                }

                case 56: {
                    arithmeticOptimization_ = (global::Tensorflow.RewriterConfig.Types.Toggle)input.ReadEnum();
                    break;
                }

                case 802: {
                    optimizers_.AddEntriesFrom(input, _repeated_optimizers_codec);
                    break;
                }
                }
            }
        }
 public void MergeFrom(RewriterConfig other)
 {
     if (other == null)
     {
         return;
     }
     if (other.LayoutOptimizer != 0)
     {
         LayoutOptimizer = other.LayoutOptimizer;
     }
     if (other.ConstantFolding != 0)
     {
         ConstantFolding = other.ConstantFolding;
     }
     if (other.ArithmeticOptimization != 0)
     {
         ArithmeticOptimization = other.ArithmeticOptimization;
     }
     if (other.DependencyOptimization != 0)
     {
         DependencyOptimization = other.DependencyOptimization;
     }
     if (other.DisableModelPruning != false)
     {
         DisableModelPruning = other.DisableModelPruning;
     }
     if (other.MemoryOptimization != 0)
     {
         MemoryOptimization = other.MemoryOptimization;
     }
     if (other.MemoryOptimizerTargetNodeNamePrefix.Length != 0)
     {
         MemoryOptimizerTargetNodeNamePrefix = other.MemoryOptimizerTargetNodeNamePrefix;
     }
     if (other.autoParallel_ != null)
     {
         if (autoParallel_ == null)
         {
             autoParallel_ = new global::Tensorflow.AutoParallelOptions();
         }
         AutoParallel.MergeFrom(other.AutoParallel);
     }
     optimizers_.Add(other.optimizers_);
     _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
 }