public static class
Conv2DBackpropInputV2.Options
Optional attributes for Conv2DBackpropInputV2
Public Methods
| Conv2DBackpropInputV2.Options |
dataFormat(String dataFormat)
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| Conv2DBackpropInputV2.Options |
dilations(List<Long> dilations)
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| Conv2DBackpropInputV2.Options |
explicitPaddings(List<Long> explicitPaddings)
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| Conv2DBackpropInputV2.Options |
useCudnnOnGpu(Boolean useCudnnOnGpu)
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Inherited Methods
Public Methods
public Conv2DBackpropInputV2.Options dataFormat (String dataFormat)
Parameters
| 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, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. |
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public Conv2DBackpropInputV2.Options dilations (List<Long> dilations)
Parameters
| 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. |
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public Conv2DBackpropInputV2.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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