adaptive_avg_pool3d

class torch.ao.nn.quantized.functional.adaptive_avg_pool3d(input, output_size)

Applies a 3D adaptive average pooling over a quantized input signal composed of several quantized input planes.

Note

The input quantization parameters propagate to the output.

See AdaptiveAvgPool3d for details and output shape.

Parameters:

output_size (None) – the target output size (single integer or double-integer tuple)

Return type:

Tensor