public static class
Conv.Options
Optional attributes for Conv
Public Methods
| Conv.Options |
batchDims(Long batchDims)
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| Conv.Options |
dataFormat(String dataFormat)
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| Conv.Options |
dilations(List<Long> dilations)
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| Conv.Options |
explicitPaddings(List<Long> explicitPaddings)
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| Conv.Options |
groups(Long groups)
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Inherited Methods
Public Methods
public Conv.Options batchDims (Long batchDims)
Parameters
| batchDims | A positive integer specifying the number of batch dimensions for the input tensor. Should be less than the rank of the input tensor. |
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public Conv.Options dataFormat (String dataFormat)
Parameters
| dataFormat | Used to set the data format. By default `CHANNELS_FIRST`, uses `NHWC (2D) / NDHWC (3D)` or if `CHANNELS_LAST`, uses `NCHW (2D) / NCDHW (3D)`. |
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public Conv.Options dilations (List<Long> dilations)
Parameters
| dilations | 1-D tensor of length `N+2`. 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 `channels_last_format`, see above for details. Dilations in the batch and depth dimensions must be 1. |
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public Conv.Options explicitPaddings (List<Long> explicitPaddings)
Parameters
| explicitPaddings | If `padding` is `"EXPLICIT"`, the list of explicit padding amounts. For the ith dimension, the amount of padding inserted before and after the dimension is `explicit_paddings[2 * i]` and `explicit_paddings[2 * i + 1]`, respectively. If `padding` is not `"EXPLICIT"`, `explicit_paddings` must be empty. |
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public Conv.Options groups (Long groups)
Parameters
| groups | A positive integer specifying the number of groups in which the input is split along the channel axis. Each group is convolved separately with `filters / groups` filters. The output is the concatenation of all the groups results along the channel axis. Input channels and filters must both be divisible by groups. |
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