(module, x)
| 81 | for m in model.modules(): |
| 82 | if isinstance(m, nn.Conv2d): |
| 83 | def hook(module, x): |
| 84 | out_h = int((x[0].size()[2] + 2 * module.padding[0] - module.kernel_size[0]) / module.stride[0] + 1) |
| 85 | out_w = int((x[0].size()[3] + 2 * module.padding[1] - module.kernel_size[1]) / module.stride[1] + 1) |
| 86 | ops = module.in_channels * module.out_channels * module.kernel_size[0] * module.kernel_size[1] * out_h * out_w / module.groups * multi_add |
| 87 | flop_counts.append(ops) |
| 88 | param_counts.append(get_layer_param(module)) |
| 89 | m.register_forward_pre_hook(hook) |
| 90 | |
| 91 | elif isinstance(m, nn.ReLU) or isinstance(m, nn.PReLU): |
nothing calls this directly
no test coverage detected