Class MaxPoolGrad<T extends TNumber>

java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.nn.MaxPoolGrad<T>
All Implemented Interfaces:
Shaped, Op, Operand<T>

@Operator(group="nn") public final class MaxPoolGrad<T extends TNumber> extends RawOp implements Operand<T>
Computes gradients of the maxpooling function.
  • Field Details

  • Constructor Details

    • MaxPoolGrad

      public MaxPoolGrad(Operation operation)
  • Method Details

    • create

      @Endpoint(describeByClass=true) public static <T extends TNumber> MaxPoolGrad<T> create(Scope scope, Operand<T> origInput, Operand<T> origOutput, Operand<T> grad, Operand<TInt32> ksize, Operand<TInt32> strides, String padding, MaxPoolGrad.Options... options)
      Factory method to create a class wrapping a new MaxPoolGradV2 operation.
      Type Parameters:
      T - data type for MaxPoolGradV2 output and operands
      Parameters:
      scope - current scope
      origInput - The original input tensor.
      origOutput - The original output tensor.
      grad - 4-D. Gradients w.r.t. the output of max_pool.
      ksize - The size of the window for each dimension of the input tensor.
      strides - The stride of the sliding window for each dimension of the input tensor.
      padding - The type of padding algorithm to use.
      options - carries optional attribute values
      Returns:
      a new instance of MaxPoolGrad
    • dataFormat

      public static MaxPoolGrad.Options dataFormat(String dataFormat)
      Sets the dataFormat option.
      Parameters:
      dataFormat - Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
      Returns:
      this Options instance.
    • output

      public Output<T> output()
      Gets output. Gradients w.r.t. the input to max_pool.
      Returns:
      output.
    • asOutput

      public Output<T> asOutput()
      Description copied from interface: Operand
      Returns the symbolic handle of the tensor.

      Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

      Specified by:
      asOutput in interface Operand<T extends TNumber>
      See Also: