First draft for saved model export API

Author: karllessard

tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java

@@ -177,7 +177,6 @@
 import org.tensorflow.op.core.SetDiff1d;
 import org.tensorflow.op.core.SetSize;
 import org.tensorflow.op.core.ShapeN;
-import org.tensorflow.op.core.ShapeOps;
 import org.tensorflow.op.core.Size;
 import org.tensorflow.op.core.Skipgram;
 import org.tensorflow.op.core.Slice;
@@ -337,10 +336,10 @@ public final class Ops {
 
   public final SignalOps signal;
 
-  public final QuantizationOps quantization;
-
   public final TrainOps train;
 
+  public final QuantizationOps quantization;
+
   private final Scope scope;
 
   private Ops(Scope scope) {
@@ -360,8 +359,8 @@ private Ops(Scope scope) {
     math = new MathOps(scope);
     audio = new AudioOps(scope);
     signal = new SignalOps(scope);
-    quantization = new QuantizationOps(scope);
     train = new TrainOps(scope);
+    quantization = new QuantizationOps(scope);
   }
 
   /**
@@ -2298,58 +2297,6 @@ public <T extends TType> Fingerprint fingerprint(Operand<T> data, Operand<TStrin
     return Fingerprint.create(scope, data, method);
   }
 
-  /**
-   * Flatten the operand to 1 dimension
-   *
-   * @param <T> the type of operand
-   * @param scope current scope
-   * @param operand the operand to flatten
-   * @return the reshaped operand
-   */
-  public <T extends TType> Operand<T> flatten(Operand<T> operand) {
-    return ShapeOps.flatten(scope, operand);
-  }
-
-  /**
-   * Flatten the shape to 1 dimension
-   *
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @return the flattened shape
-   */
-  public Operand<TInt32> flatten(org.tensorflow.op.core.Shape<TInt32> shape) {
-    return ShapeOps.flatten(scope, shape);
-  }
-
-  /**
-   * Flatten the operand to 1 dimension
-   *
-   * @param <T> the type of operand
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param operand the operand to flatten
-   * @param dType the shape datatype.
-   * @return the reshaped operand
-   */
-  public <T extends TType, U extends TNumber> Operand<T> flatten(Operand<T> operand,
-      DataType<U> dType) {
-    return ShapeOps.flatten(scope, operand, dType);
-  }
-
-  /**
-   * Flatten the shape to 1 dimension
-   *
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param dType the shape datatype.
-   * @return the flattened shape
-   */
-  public <U extends TNumber> Operand<U> flatten(org.tensorflow.op.core.Shape<U> shape,
-      DataType<U> dType) {
-    return ShapeOps.flatten(scope, shape, dType);
-  }
-
   /**
    * Gather slices from `params` axis `axis` according to `indices`.
    *  <p>
@@ -3380,31 +3327,6 @@ public NoOp noOp() {
     return NoOp.create(scope);
   }
 
-  /**
-   * Get the number of dimensions of the shape object
-   *
-   * @param scope current scope
-   * @param shape the shape
-   * @return the number of dimensions
-   */
-  public Operand<TInt32> numDimensions(org.tensorflow.op.core.Shape<TInt32> shape) {
-    return ShapeOps.numDimensions(scope, shape);
-  }
-
-  /**
-   * Get the number of dimensions of the shape object
-   *
-   * @param <U> the shape datatype.
-   * @param scope the curren scope
-   * @param shape the shape
-   * @param dType the shape datatype.
-   * @return the number of dimensions
-   */
-  public <U extends TNumber> Operand<U> numDimensions(org.tensorflow.op.core.Shape<U> shape,
-      DataType<U> dType) {
-    return ShapeOps.numDimensions(scope, shape, dType);
-  }
-
   /**
    * Returns a one-hot tensor.
    *  <p>
@@ -3936,63 +3858,6 @@ public <T extends TNumber> ReduceAny reduceAny(Operand<TBool> input, Operand<T>
     return ReduceAny.create(scope, input, axis, options);
   }
 
-  /**
-   * Reshapes the operand to the specified axis,
-   *
-   * @param <T> the type of Operand
-   * @param scope current scope
-   * @param operand the operand
-   * @param axis the axis
-   * @return the reshaped operand
-   */
-  public <T extends TType> Operand<T> reduceDims(Operand<T> operand, Operand<TInt32> axis) {
-    return ShapeOps.reduceDims(scope, operand, axis);
-  }
-
-  /**
-   * Reduces the shape to the specified axis,
-   *
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param axis the axis
-   * @return the reduced shape
-   */
-  public Operand<TInt32> reduceDims(org.tensorflow.op.core.Shape<TInt32> shape,
-      Operand<TInt32> axis) {
-    return ShapeOps.reduceDims(scope, shape, axis);
-  }
-
-  /**
-   * Reshapes the operand to the specified axis,
-   *
-   * @param <T> the type of Operand
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param operand the operand
-   * @param axis the axis
-   * @param dType the shape datatype.
-   * @return the reshaped operand
-   */
-  public <T extends TType, U extends TNumber> Operand<T> reduceDims(Operand<T> operand,
-      Operand<U> axis, DataType<U> dType) {
-    return ShapeOps.reduceDims(scope, operand, axis, dType);
-  }
-
-  /**
-   * Reduces the shape to the specified axis,
-   *
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param axis the axis
-   * @param dType the shape datatype.
-   * @return the reduced shape
-   */
-  public <U extends TNumber> Operand<U> reduceDims(org.tensorflow.op.core.Shape<U> shape,
-      Operand<U> axis, DataType<U> dType) {
-    return ShapeOps.reduceDims(scope, shape, axis, dType);
-  }
-
   /**
    * Computes the maximum of elements across dimensions of a tensor.
    *  <p>
@@ -5620,29 +5485,6 @@ public <T extends TType> Size<TInt32> size(Operand<T> input) {
     return Size.create(scope, input);
   }
 
-  /**
-   * Get the size represented by the TensorFlow shape
-   *
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @return the size
-   */
-  public Operand<TInt32> size(org.tensorflow.op.core.Shape<TInt32> shape) {
-    return ShapeOps.size(scope, shape);
-  }
-
-  /**
-   * Get the size of the specified dimension for the shape of the tensor
-   *
-   * @param scope current scope
-   * @param input the operand
-   * @param dim the dimension
-   * @return the size of the specified dimension
-   */
-  public Operand<TInt32> size(Operand input, Operand<TInt32> dim) {
-    return ShapeOps.size(scope, input, dim);
-  }
-
   /**
    * Returns the size of a tensor.
    *  <p>
@@ -5664,61 +5506,6 @@ public <U extends TNumber, T extends TType> Size<U> size(Operand<T> input, DataT
     return Size.create(scope, input, outType);
   }
 
-  /**
-   * Get the size represented by the TensorFlow shape
-   *
-   * @param <U> the shape datatype. the type of the shape
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param dType the shape datatype.
-   * @return the size
-   */
-  public <U extends TNumber> Operand<U> size(org.tensorflow.op.core.Shape<U> shape,
-      DataType<U> dType) {
-    return ShapeOps.size(scope, shape, dType);
-  }
-
-  /**
-   * Get the size of the specified dimension in the shape
-   *
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param dim the dimension
-   * @return the size of the specified dimension
-   */
-  public Operand<TInt32> size(org.tensorflow.op.core.Shape<TInt32> shape, Operand<TInt32> dim) {
-    return ShapeOps.size(scope, shape, dim);
-  }
-
-  /**
-   * Get the size of the specified dimension for the shape of the tensor
-   *
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param input the operand
-   * @param dim the dimension
-   * @param dType the shape datatype.
-   * @return the size of the specified dimension
-   */
-  public <U extends TNumber> Operand<U> size(Operand input, Operand<U> dim, DataType<U> dType) {
-    return ShapeOps.size(scope, input, dim, dType);
-  }
-
-  /**
-   * Get the size of the specified dimension in the shape
-   *
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param dim the dimension
-   * @param dType the shape datatype.
-   * @return the size of the specified dimension
-   */
-  public <U extends TNumber> Operand<U> size(org.tensorflow.op.core.Shape<U> shape, Operand<U> dim,
-      DataType<U> dType) {
-    return ShapeOps.size(scope, shape, dim, dType);
-  }
-
   /**
    * Parses a text file and creates a batch of examples.
    *
@@ -5915,17 +5702,6 @@ public <T extends TType, U extends TNumber> SplitV<T> splitV(Operand<T> value,
     return SplitV.create(scope, value, sizeSplits, axis, numSplit);
   }
 
-  /**
-   * Removes dimensions of size 1 from the shape
-   *
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @return the squeezed shape
-   */
-  public Operand<TInt32> squeeze(org.tensorflow.op.core.Shape<TInt32> shape) {
-    return ShapeOps.squeeze(scope, shape);
-  }
-
   /**
    * Removes dimensions of size 1 from the shape of a tensor.
    *  <p>
@@ -5954,20 +5730,6 @@ public <T extends TType> Squeeze<T> squeeze(Operand<T> input, Squeeze.Options...
     return Squeeze.create(scope, input, options);
   }
 
-  /**
-   * Removes dimensions of size 1 from the shape
-   *
-   * @param <U> the shape datatype.
-   * @param scope current scope
-   * @param shape the TensorFlow shape
-   * @param dType the shape datatype.
-   * @return the squeezed shape
-   */
-  public <U extends TNumber> Operand<U> squeeze(org.tensorflow.op.core.Shape<U> shape,
-      DataType<U> dType) {
-    return ShapeOps.squeeze(scope, shape, dType);
-  }
-
   /**
    * Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.
    *  <p>