/** * <pre> * Name of the kernel producing an output as set in GraphDef, e.g., * "affine2/weights/Assign". * </pre> * * <code>string kernel_name = 2;</code> */ public Builder setKernelNameBytes( com.github.os72.protobuf351.ByteString value) { if (value == null) { throw new NullPointerException(); } checkByteStringIsUtf8(value); kernelName_ = value; onChanged(); return this; }
/** * <pre> * Name of the kernel producing an output as set in GraphDef, e.g., * "affine2/weights/Assign". * </pre> * * <code>string kernel_name = 2;</code> */ public Builder setKernelName( java.lang.String value) { if (value == null) { throw new NullPointerException(); } kernelName_ = value; onChanged(); return this; } /**
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public Builder setTensor(org.tensorflow.framework.TensorDescription value) { if (tensorBuilder_ == null) { if (value == null) { throw new NullPointerException(); } tensor_ = value; onChanged(); } else { tensorBuilder_.setMessage(value); } return this; } /**
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public Builder setTensor( org.tensorflow.framework.TensorDescription.Builder builderForValue) { if (tensorBuilder_ == null) { tensor_ = builderForValue.build(); onChanged(); } else { tensorBuilder_.setMessage(builderForValue.build()); } return this; } /**
/** * <pre> * Name of the kernel producing an output as set in GraphDef, e.g., * "affine2/weights/Assign". * </pre> * * <code>string kernel_name = 2;</code> */ public Builder clearKernelName() { kernelName_ = getDefaultInstance().getKernelName(); onChanged(); return this; } /**
/** * <pre> * Index of the output being set. * </pre> * * <code>int32 index = 3;</code> */ public Builder setIndex(int value) { index_ = value; onChanged(); return this; } /**
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public org.tensorflow.framework.TensorDescription.Builder getTensorBuilder() { onChanged(); return getTensorFieldBuilder().getBuilder(); } /**
/** * <pre> * Index of the output being set. * </pre> * * <code>int32 index = 3;</code> */ public Builder clearIndex() { index_ = 0; onChanged(); return this; }
/** * <pre> * Process-unique step id. * </pre> * * <code>int64 step_id = 1;</code> */ public Builder setStepId(long value) { stepId_ = value; onChanged(); return this; } /**
/** * <pre> * Process-unique step id. * </pre> * * <code>int64 step_id = 1;</code> */ public Builder clearStepId() { stepId_ = 0L; onChanged(); return this; }
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public Builder mergeTensor(org.tensorflow.framework.TensorDescription value) { if (tensorBuilder_ == null) { if (tensor_ != null) { tensor_ = org.tensorflow.framework.TensorDescription.newBuilder(tensor_).mergeFrom(value).buildPartial(); } else { tensor_ = value; } onChanged(); } else { tensorBuilder_.mergeFrom(value); } return this; } /**
public Builder mergeFrom(org.tensorflow.framework.MemoryLogTensorOutput other) { if (other == org.tensorflow.framework.MemoryLogTensorOutput.getDefaultInstance()) return this; if (other.getStepId() != 0L) { setStepId(other.getStepId()); } if (!other.getKernelName().isEmpty()) { kernelName_ = other.kernelName_; onChanged(); } if (other.getIndex() != 0) { setIndex(other.getIndex()); } if (other.hasTensor()) { mergeTensor(other.getTensor()); } this.mergeUnknownFields(other.unknownFields); onChanged(); return this; }
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public Builder setTensor( org.tensorflow.framework.TensorDescription.Builder builderForValue) { if (tensorBuilder_ == null) { tensor_ = builderForValue.build(); onChanged(); } else { tensorBuilder_.setMessage(builderForValue.build()); } return this; } /**
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public Builder clearTensor() { if (tensorBuilder_ == null) { tensor_ = null; onChanged(); } else { tensor_ = null; tensorBuilder_ = null; } return this; } /**
/** * <pre> * Name of the kernel producing an output as set in GraphDef, e.g., * "affine2/weights/Assign". * </pre> * * <code>string kernel_name = 2;</code> */ public Builder clearKernelName() { kernelName_ = getDefaultInstance().getKernelName(); onChanged(); return this; } /**
/** * <pre> * Index of the output being set. * </pre> * * <code>int32 index = 3;</code> */ public Builder setIndex(int value) { index_ = value; onChanged(); return this; } /**
/** * <pre> * Process-unique step id. * </pre> * * <code>int64 step_id = 1;</code> */ public Builder setStepId(long value) { stepId_ = value; onChanged(); return this; } /**
/** * <pre> * Index of the output being set. * </pre> * * <code>int32 index = 3;</code> */ public Builder clearIndex() { index_ = 0; onChanged(); return this; }
/** * <pre> * Output tensor details. * </pre> * * <code>.tensorflow.TensorDescription tensor = 4;</code> */ public org.tensorflow.framework.TensorDescription.Builder getTensorBuilder() { onChanged(); return getTensorFieldBuilder().getBuilder(); } /**
/** * <pre> * Process-unique step id. * </pre> * * <code>int64 step_id = 1;</code> */ public Builder clearStepId() { stepId_ = 0L; onChanged(); return this; }