Modifier and Type | Class and Description |
---|---|
static class |
MaxPoolGrad.Options
Optional attributes for
MaxPoolGrad |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> origInput,
Operand<T> origOutput,
Operand<T> grad,
Operand<Integer> ksize,
Operand<Integer> strides,
String padding,
MaxPoolGrad.Options... options)
Factory method to create a class wrapping a new MaxPoolGrad operation.
|
static MaxPoolGrad.Options |
dataFormat(String dataFormat) |
Output<T> |
output()
Gradients w.r.t.
|
equals, hashCode, op, toString
public static <T extends Number> MaxPoolGrad<T> create(Scope scope, Operand<T> origInput, Operand<T> origOutput, Operand<T> grad, Operand<Integer> ksize, Operand<Integer> strides, String padding, MaxPoolGrad.Options... options)
scope
- current scopeorigInput
- 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 attributes valuespublic static MaxPoolGrad.Options dataFormat(String dataFormat)
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].public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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