tf.compat.v1.nn.conv2d_transpose
The transpose of conv2d.
tf.compat.v1.nn.conv2d_transpose(
value=None, filter=None, output_shape=None, strides=None, padding='SAME',
data_format='NHWC', name=None, input=None, filters=None, dilations=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpose (gradient) of conv2d rather than an actual deconvolution.
| Args | |
|---|---|
value |
A 4-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. |
filter |
A 4-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, 2 or 4. The stride of the sliding window for each dimension of input. If a single value is given it is replicated in the 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. 'NHWC' and 'NCHW' are supported. |
name |
Optional name for the returned tensor. |
input |
Alias for value. |
filters |
Alias for filter. |
dilations |
An int or list of ints that has length 1, 2 or 4, defaults to 1. The dilation factor for each dimension ofinput. If a single value is given it is replicated in the 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 4-d tensor must be 1. |
| Returns | |
|---|---|
A Tensor with the same type as value. |
| Raises | |
|---|---|
ValueError |
If input/output depth does not match filter's shape, or if padding is other than 'VALID' or 'SAME'. |
References:
Deconvolutional Networks: Zeiler et al., 2010 (pdf)
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/nn/conv2d_transpose