(self, input)
| 117 | |
| 118 | class ChannelMaxPoolFlat(MaxPool1d): |
| 119 | def forward(self, input): |
| 120 | if len(input.size()) == 4: |
| 121 | n, c, w, h = input.size() |
| 122 | pool = lambda x: F.max_pool1d( |
| 123 | x, |
| 124 | self.kernel_size, |
| 125 | self.stride, |
| 126 | self.padding, |
| 127 | self.dilation, |
| 128 | self.ceil_mode, |
| 129 | self.return_indices, |
| 130 | ) |
| 131 | out = rearrange( |
| 132 | pool(rearrange(input, "n c w h -> n (w h) c")), |
| 133 | "n (w h) c -> n c w h", |
| 134 | n=n, |
| 135 | w=w, |
| 136 | h=h, |
| 137 | ) |
| 138 | return out.squeeze() |
| 139 | elif len(input.size()) == 3: |
| 140 | n, c, l = input.size() |
| 141 | pool = lambda x: F.max_pool1d( |
| 142 | x, |
| 143 | self.kernel_size, |
| 144 | self.stride, |
| 145 | self.padding, |
| 146 | self.dilation, |
| 147 | self.ceil_mode, |
| 148 | self.return_indices, |
| 149 | ) |
| 150 | out = rearrange( |
| 151 | pool(rearrange(input, "n c l -> n l c")), |
| 152 | "n l c -> n c l", |
| 153 | n=n, |
| 154 | l=l |
| 155 | ) |
| 156 | return out.squeeze() |
| 157 | else: |
| 158 | raise NotImplementedError |
| 159 | |
| 160 | |
| 161 | class ChannelAvgPoolFlat(AvgPool1d): |
nothing calls this directly
no outgoing calls
no test coverage detected