depth_to_space¶
dragon.nn.
depth_to_space
(
inputs,
block_size,
mode='DCR',
data_format='NCHW',
copy=True,
**kwargs
)[source]¶Rearrange depth data into spatial blocks.
Examples:
n, c, h, w, bs = 1, 4, 1, 1, 2 x = dragon.range(n * c * h * w).reshape((n, c, h, w)) y = dragon.reshape(x, (n, bs, bs, c // (bs ** 2), h, w)) y = dragon.transpose(y, (0, 3, 4, 1, 5, 2)) y = dragon.reshape(y, (n, c // (bs ** 2), h * bs, w * bs)) z = dragon.nn.depth_to_space(x, 2) # Equivalent
- Parameters:
- inputs (dragon.Tensor) – The input tensor.
- block_size (int, required) – The size of spatial block.
- mode (str, optional, default='DCR') – Rearrangement order for
'NCHW'
format. - data_format (str, optional, default='NCHW') –
'NCHW'
or'NHWC'
. - copy (bool, optional, default=True) – Return a new tensor or call in-place.
- Returns:
dragon.Tensor – The output tensor.