public final class
Conv3d
Computes a 3-D convolution given 5-D `input` and `filter` tensors.
In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or sliding inner-product.
Our Conv3D implements a form of cross-correlation.
Nested Classes
| class | Conv3d.Options | Optional attributes for Conv3d
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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> Conv3d<T> |
create(Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new Conv3d operation.
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| static Conv3d.Options |
dataFormat(String dataFormat)
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| static Conv3d.Options |
dilations(List<Long> dilations)
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| Output<T> |
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:
"Conv3D"
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 Conv3d<T> create (Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new Conv3d operation.
Parameters
| scope | current scope |
|---|---|
| input | Shape `[batch, in_depth, in_height, in_width, in_channels]`. |
| filter | Shape `[filter_depth, filter_height, filter_width, in_channels, out_channels]`. `in_channels` must match between `input` and `filter`. |
| 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 Conv3d
public static Conv3d.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 Conv3d.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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