(self, inp)
| 49 | ) |
| 50 | |
| 51 | def forward(self, inp): |
| 52 | out = self.quant(inp) |
| 53 | out = self.conv_bn(out) |
| 54 | out = self.dequant(out) |
| 55 | return out |
| 56 | |
| 57 | inputs = tensor(np.random.randn(4, in_channels, 32, 32).astype(np.float32)) |
| 58 | for groups, bias in product([1, 4], [True, False]): |
nothing calls this directly
no test coverage detected