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tf.nn.conv_transpose

TensorFlow 2 version View source on GitHub

The transpose of convolution.

This operation is sometimes called "deconvolution" after Deconvolutional Networks, but is actually the transpose (gradient) of convolution rather than an actual deconvolution.

input An N+2 dimensional Tensor of shape [batch_size] + input_spatial_shape + [in_channels] if data_format does not start with "NC" (default), or [batch_size, in_channels] + input_spatial_shape if data_format starts with "NC". It must be one of the following types: half, bfloat16, float32, float64.
filters An N+2 dimensional Tensor with the same type as input and shape spatial_filter_shape + [in_channels, out_channels].
output_shape A 1-D Tensor representing the output shape of the deconvolution op.
strides An int or list of ints that has length 1, N or N+2. The stride of the sliding window for each dimension of input. If a single value is given it is replicated in the spatial dimensions. By default the N and C dimensions are set to 0. The dimension order is determined by the value of data_format, see below for details.
padding A string, either 'VALID' or 'SAME'. The padding algorithm. See the "returns" section of tf.nn.convolution for details.
data_format A string or None. Specifies whether the channel dimension of the input and output is the last dimension (default, or if data_format does not start with "NC"), or the second dimension (if data_format starts with "NC"). For N=1, the valid values are "NWC" (default) and "NCW". For N=2, the valid values are "NHWC" (default) and "NCHW". For N=3, the valid values are "NDHWC" (default) and "NCDHW".
dilations An int or list of ints that has length 1, N or N+2, defaults to 1. The dilation factor for each dimension ofinput. If a single value is given it is replicated in the spatial dimensions. By default the N and C dimensions are set to 1. 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.
name A name for the operation (optional). If not specified "conv_transpose" is used.

A Tensor with the same type as value.