T
- data type for patches()
output@Operator public final class ExtractVolumePatches<T extends Number> extends PrimitiveOp implements Operand<T>
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> input,
List<Long> ksizes,
List<Long> strides,
String padding)
Factory method to create a class wrapping a new ExtractVolumePatches operation.
|
Output<T> |
patches()
5-D Tensor with shape `[batch, out_planes, out_rows, out_cols,
ksize_planes * ksize_rows * ksize_cols * depth]` containing patches
with size `ksize_planes x ksize_rows x ksize_cols x depth` vectorized
in the "depth" dimension.
|
equals, hashCode, op, toString
public static <T extends Number> ExtractVolumePatches<T> create(Scope scope, Operand<T> input, List<Long> ksizes, List<Long> strides, String padding)
scope
- current scopeinput
- 5-D Tensor with shape `[batch, in_planes, in_rows, in_cols, depth]`.ksizes
- The size of the sliding window for each dimension of `input`.strides
- 1-D of length 5. How far the centers of two consecutive patches are in
`input`. Must be: `[1, stride_planes, stride_rows, stride_cols, 1]`.padding
- The type of padding algorithm to use.
We specify the size-related attributes as:
ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1]
strides = [1, stride_planes, strides_rows, strides_cols, 1]
public Output<T> patches()
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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