AdaptiveAvgPool3d¶

class dragon.vm.torch.nn.AdaptiveAvgPool3d(output_size)[source]¶

Apply the 3d adaptive average pooling.

This module excepts the input size \((N, C, D, H, W)\), and output size is \((N, C, D_{\text{out}}, H_{\text{out}}, W_{\text{out}})\), where \(N\) is the batch size, \(C\) is the number of channels, \(D\), \(H\) and \(W\) are the depth, height and width of data.

Examples:

m = torch.nn.AdaptiveAvgPool3d(1)
x = torch.ones(2, 2, 2, 2, 2)
y = m(x)

See also

torch.nn.functional.adaptive_avg_pool3d(…)