public org.tensorflow.framework.MemoryLogTensorOutput getDefaultInstanceForType() { return org.tensorflow.framework.MemoryLogTensorOutput.getDefaultInstance(); }
/** * <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; } /**
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; }
public org.tensorflow.framework.MemoryLogTensorOutput getDefaultInstanceForType() { return org.tensorflow.framework.MemoryLogTensorOutput.getDefaultInstance(); }
/** * <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; } /**
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; }