Docs4dev
Docs
tensorflow / 1.15 / compat / v2 / nn / conv3d_transpose.html

tf.compat.v2.nn.conv3d_transpose

The transpose of conv3d.

tf.compat.v2.nn.conv3d_transpose(
    input, filters, output_shape, strides, padding='SAME', data_format='NDHWC',
    dilations=None, name=None
)

This operation is sometimes called "deconvolution" after Deconvolutional Networks, but is actually the transpose (gradient) of conv2d rather than an actual deconvolution.

Args
input A 5-D Tensor of type float and shape [batch, height, width, in_channels] for NHWC data format or [batch, in_channels, height, width] for NCHW data format.
filters A 5-D Tensor with the same type as value and shape [height, width, output_channels, in_channels]. filter's in_channels dimension must match that of value.
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, 3 or 5. The stride of the sliding window for each dimension of input. If a single value is given it is replicated in the D, H and W dimension. 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. 'NDHWC' and 'NCDHW' are supported.
dilations An int or list of ints that has length 1, 3 or 5, defaults to 1. The dilation factor for each dimension ofinput. If a single value is given it is replicated in the D, H and W dimension. 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. Dilations in the batch and depth dimensions if a 5-d tensor must be 1.
name Optional name for the returned tensor.
Returns
A Tensor with the same type as value.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/nn/conv3d_transpose