org.tensorflow.Output Java Examples

@Override
@SuppressWarnings("unchecked")
public Output<TType> asOutput() {
  return (Output<TType>) serialized;
}
 

@Override
@SuppressWarnings("unchecked")
public Output<TType> asOutput() {
  return (Output<TType>) optional;
}
 

/**
 */
public Output<T> output() {
  return output;
}
 

@Override
public Output<T> asOutput() {
  return output;
}
 

/**
 * Same as "var".
 */
public Output<T> out() {
  return out;
}
 

/**
 * A bool tensor with the same shape as `input`.
 */
public Output<TBool> output() {
  return output;
}
 

/**
 */
public Output<T> y() {
  return y;
}
 

@Override
public Output<TBool> asOutput() {
  return output;
}
 

/**
 * A `Tensor` of type `T`.
 */
public Output<T> output() {
  return output;
}
 

@Override
public Output<TFloat32> asOutput() {
  return resizedImages;
}
 

/**
 */
public List<Output<?>> contextSparseValues() {
  return contextSparseValues;
}
 

@Override
public Output<U> asOutput() {
  return output;
}
 

/**
 */
public Output<T> paramsBackprop() {
  return paramsBackprop;
}
 

/**
 */
public Output<?> handle() {
  return handle;
}
 

/**
 */
public Output<?> handle() {
  return handle;
}
 

/**
 * Per example loss (batch_size vector).
 */
public Output<T> loss() {
  return loss;
}
 

/**
 * Parameter mg updated by the centered RMSProp optimization algorithm.
 */
public Output<TFloat32> mg() {
  return mg;
}
 

@Override
@SuppressWarnings("unchecked")
public Output<TType> asOutput() {
  return (Output<TType>) handle;
}
 

@Override
public Output<TFloat32> asOutput() {
  return flowOut;
}
 

/**
 */
public Output<T> value() {
  return value;
}
 

/**
 */
public Output<T> reserveSpace() {
  return reserveSpace;
}
 

/**
 */
public Output<T> y() {
  return y;
}
 

@Override
public Output<TString> asOutput() {
  return handle;
}
 

@Override
public Output<T> asOutput() {
  return output;
}
 

@Override
public Output<T> asOutput() {
  return unbatchedTensor;
}
 

/**
 */
public Output<TFloat32> minOutput() {
  return minOutput;
}
 

@Override
public Output<TString> asOutput() {
  return contents;
}
 

/**
 * The float value that the highest quantized output value represents.
 */
public Output<TFloat32> maxOut() {
  return maxOut;
}
 

/**
 * = The resulting string scalar.
 */
public Output<TString> output() {
  return output;
}
 

Output div(Output x, Output y) {
	return binaryOp("Div", x, y);
}