conv2d_transpose

dragon.vm.tensorflow.nn.conv2d_transpose(
  input,
  filters,
  output_shape,
  strides,
  padding='SAME',
  data_format='NHWC',
  dilations=None,
  name=None
)[source]

Apply the 2d deconvolution.

Parameters:
  • input (dragon.Tensor) – The input tensor.
  • filters (dragon.Tensor) – The weight tensor.
  • output_shape (Union[Sequence[int], dragon.Tensor], optional) – The determined shape of output.
  • strides (Sequence[int]) – The stride(s) of sliding window.
  • padding (Union[{'VALID', 'SAME'}, Sequence[int]]) – The padding algorithm or padding sizes.
  • data_format ({'NCHW', 'NHWC'}, optional) – The optional data format.
  • dilations (Sequence[int], optional) – The rate(s) of dilated kernel.
  • name (str, optional) – The operation name.
Returns:

dragon.Tensor – The output tensor.