T
- data type for output()
output@Operator(group="nn") public final class DepthwiseConv2dNativeBackpropInput<T extends Number> extends PrimitiveOp implements Operand<T>
Modifier and Type | Class and Description |
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static class |
DepthwiseConv2dNativeBackpropInput.Options
Optional attributes for
DepthwiseConv2dNativeBackpropInput |
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<Integer> inputSizes,
Operand<T> filter,
Operand<T> outBackprop,
List<Long> strides,
String padding,
DepthwiseConv2dNativeBackpropInput.Options... options)
Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropInput operation.
|
static DepthwiseConv2dNativeBackpropInput.Options |
dataFormat(String dataFormat) |
static DepthwiseConv2dNativeBackpropInput.Options |
dilations(List<Long> dilations) |
Output<T> |
output()
4-D with shape according to `data_format`.
|
equals, hashCode, op, toString
public static <T extends Number> DepthwiseConv2dNativeBackpropInput<T> create(Scope scope, Operand<Integer> inputSizes, Operand<T> filter, Operand<T> outBackprop, List<Long> strides, String padding, DepthwiseConv2dNativeBackpropInput.Options... options)
scope
- current scopeinputSizes
- An integer vector representing the shape of `input`, based
on `data_format`. For example, if `data_format` is 'NHWC' then
`input` is a 4-D `[batch, height, width, channels]` tensor.filter
- 4-D with shape
`[filter_height, filter_width, in_channels, depthwise_multiplier]`.outBackprop
- 4-D with shape based on `data_format`.
For example, if `data_format` is 'NHWC' then
out_backprop shape is `[batch, out_height, out_width, out_channels]`.
Gradients w.r.t. the output of the convolution.strides
- The stride of the sliding window for each dimension of the input
of the convolution.padding
- The type of padding algorithm to use.options
- carries optional attributes valuespublic static DepthwiseConv2dNativeBackpropInput.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, height, width, channels].
Alternatively, the format could be "NCHW", the data storage order of:
[batch, channels, height, width].public static DepthwiseConv2dNativeBackpropInput.Options dilations(List<Long> dilations)
dilations
- 1-D tensor of length 4. The dilation factor for each dimension of
`input`. If set to k > 1, there will be k-1 skipped cells between each filter
element on that dimension. The dimension order is determined by the value of
`data_format`, see above for details. Dilations in the batch and depth
dimensions must be 1.public Output<T> output()
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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