public final class
MaxPoolGradGrad
Computes second-order gradients of the maxpooling function.
Nested Classes
class | MaxPoolGradGrad.Options | Optional attributes for MaxPoolGradGrad
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> MaxPoolGradGrad<T> | |
static MaxPoolGradGrad.Options |
dataFormat(String dataFormat)
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Output<T> |
output()
Gradients of gradients w.r.t.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"MaxPoolGradGradV2"
Public Methods
public Output<T> asOutput ()
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.
public static MaxPoolGradGrad<T> create (Scope scope, Operand<T> origInput, Operand<T> origOutput, Operand<T> grad, Operand<TInt32> ksize, Operand<TInt32> strides, String padding, Options... options)
Factory method to create a class wrapping a new MaxPoolGradGrad operation.
Parameters
scope | current scope |
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origInput | The original input tensor. |
origOutput | The original output tensor. |
grad | 4-D. Gradients of gradients w.r.t. the input 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 attributes values |
Returns
- a new instance of MaxPoolGradGrad
public static MaxPoolGradGrad.Options dataFormat (String dataFormat)
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]. |
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