input – input tensor ( minibatch , in_channels , i H , i W ) (\text{minibatch} , \text{in\_channels} , iH , iW) (minibatch,in_channels,iH,iW), minibatch dim optional.
kernel_size – size of the pooling region. Can be a single number or a tuple (kH, kW)
stride – stride of the pooling operation. Can be a single number or a tuple (sH, sW). Default: kernel_size
padding – Implicit negative infinity padding to be added on both sides, must be >= 0 and <= kernel_size / 2.
dilation – The stride between elements within a sliding window, must be > 0.
ceil_mode – If True, will use ceil instead of floor to compute the output shape. This ensures that every element in the input tensor is covered by a sliding window.
return_indices – If True, will return the argmax along with the max values. Useful for torch.nn.functional.max_unpool2d later
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4