| 86 | |
| 87 | |
| 88 | class Net(nn.Module): |
| 89 | def __init__(self, |
| 90 | n_inputs, |
| 91 | n_outputs, |
| 92 | n_tasks, |
| 93 | args): |
| 94 | super(Net, self).__init__() |
| 95 | self.margin = args.memory_strength |
| 96 | self.net = args.net |
| 97 | |
| 98 | self.ce = nn.CrossEntropyLoss() |
| 99 | self.n_outputs = n_outputs |
| 100 | |
| 101 | self.opt = optim.SGD(self.parameters(), args.lr) |
| 102 | self.n_iter = args.n_iter |
| 103 | assert args.n_memories > 0, "SET args.n_memories for GEM > 0" |
| 104 | self.n_memories = args.n_memories |
| 105 | self.gpu = args.cuda |
| 106 | |
| 107 | # allocate episodic memory |
| 108 | self.memory_data = torch.FloatTensor( |
| 109 | n_tasks, self.n_memories, n_inputs) |
| 110 | self.memory_labs = torch.LongTensor(n_tasks, self.n_memories) |
| 111 | if args.cuda: |
| 112 | self.memory_data = self.memory_data.cuda() |
| 113 | self.memory_labs = self.memory_labs.cuda() |
| 114 | |
| 115 | # allocate temporary synaptic memory |
| 116 | self.grad_dims = [] |
| 117 | for param in self.parameters(): |
| 118 | self.grad_dims.append(param.data.numel()) |
| 119 | self.grads = torch.Tensor(sum(self.grad_dims), n_tasks) |
| 120 | if args.cuda: |
| 121 | self.grads = self.grads.cuda() |
| 122 | |
| 123 | # allocate counters |
| 124 | self.observed_tasks = [] |
| 125 | self.old_task = -1 |
| 126 | self.mem_cnt = 0 |
| 127 | self.nc_per_task = n_outputs # shared_head |
| 128 | |
| 129 | def forward(self, x, t): |
| 130 | output = self.net(x) |
| 131 | return output |
| 132 | |
| 133 | def observe(self, x, t, y): |
| 134 | # update memory |
| 135 | if t != self.old_task: |
| 136 | self.observed_tasks.append(t) |
| 137 | self.old_task = t |
| 138 | print("task number ", t) |
| 139 | # Update ring buffer storing examples from current task |
| 140 | bsz = y.data.size(0) |
| 141 | endcnt = min(self.mem_cnt + bsz, self.n_memories) |
| 142 | effbsz = endcnt - self.mem_cnt |
| 143 | self.memory_data[t, self.mem_cnt: endcnt].copy_( |
| 144 | x.data[: effbsz]) |
| 145 | if bsz == 1: |
nothing calls this directly
no outgoing calls
no test coverage detected