public final class
Conv3dBackpropInput
Computes the gradients of 3-D convolution with respect to the input.
Nested Classes
class | Conv3dBackpropInput.Options | Optional attributes for Conv3dBackpropInput
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TNumber> Conv3dBackpropInput<U> | |
static Conv3dBackpropInput.Options |
dataFormat(String dataFormat)
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static Conv3dBackpropInput.Options |
dilations(List<Long> dilations)
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Output<U> |
output()
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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:
"Conv3DBackpropInputV2"
Public Methods
public Output<U> 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 Conv3dBackpropInput<U> create (Scope scope, Operand<? extends TNumber> inputSizes, Operand<U> filter, Operand<U> outBackprop, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new Conv3dBackpropInput operation.
Parameters
scope | current scope |
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inputSizes | An integer vector representing the tensor shape of `input`, where `input` is a 5-D `[batch, depth, rows, cols, in_channels]` tensor. |
filter | Shape `[depth, rows, cols, in_channels, out_channels]`. `in_channels` must match between `input` and `filter`. |
outBackprop | Backprop signal of shape `[batch, out_depth, out_rows, out_cols, out_channels]`. |
strides | 1-D tensor of length 5. The stride of the sliding window for each dimension of `input`. Must have `strides[0] = strides[4] = 1`. |
padding | The type of padding algorithm to use. |
options | carries optional attributes values |
Returns
- a new instance of Conv3dBackpropInput
public static Conv3dBackpropInput.Options dataFormat (String dataFormat)
Parameters
dataFormat | The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width]. |
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public static Conv3dBackpropInput.Options dilations (List<Long> dilations)
Parameters
dilations | 1-D tensor of length 5. 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. |
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