[FIXED] AttributeError: 'torch.return_types.max' object has no attribute 'dim' - Maxpooling Channel

Issue

I'm trying to do maxpooling over channel dimension:

class ChannelPool(nn.Module):
    def forward(self, input):
        return torch.max(input, dim=1)

but I get the error

AttributeError: 'torch.return_types.max' object has no attribute 'dim'

Solution

The torch.max function called with dim returns a tuple so:

class ChannelPool(nn.Module):
    def forward(self, input):
        input_max, max_indices = torch.max(input, dim=1)
        return input_max

From the documentation of torch.max:

Returns a namedtuple (values, indices) where values is the maximum value of each row of the input tensor in the given dimension dim. And indices is the index location of each maximum value found (argmax).

Answered By - Guglie