class Net(Module): def __init__(self, a, b, ...): super(net, self).__init__() self... # parameters self... # layers def forward(self): x = ... x = ... # 数据流 return x net = Net(a, b, ...) net.train() ... optimizer = torch.optim.SGD(net.parameters(), l...
def forward(self, input_): del input_ raise RuntimeError("LMHead's weights should be used in the sampler.") raise RuntimeError("LMHead's weights should be used in the sampler.") 6 changes: 3 additions & 3 deletions 6 python/sglang/srt/managers/scheduler.py Show comments View fi...
Module): def __init__(self, fn): super().__init__() self.fn = fn def forward(self, x, *args, **kwargs): return self.fn(x, *args, **kwargs) + x def Upsample(dim, dim_out=None): return nn.Sequential( nn.Upsample(scale_factor=2, mode="nearest"), nn.Co...
示例1 defpopulate(self,movies=None,where=None,qf=True):#{{{ifself.initializedisFalse:# dont try to fill movie list if Griffith is not initialized yetreturnFalseifqfandmoviesisNoneorisinstance(movies,Select):# if ".execute().fetchall()" not invoked on movies yetifnotwhere:# due to possib...
Until then, we look forward to experiencing more phenominon while out on the Relief Party trail in a couple of weeks. If we do, we will let them come to us, embrace whatever happens and share our stories with you. T-Minus 15 Days (30-Jan) Final Team Training We know the Expedition...
lora_A @ self.lora_B * self.scaling @@ -71,17 +71,15 @@ def _linear_forward(self, input, weight): out = F.linear(x=input, weight=weight, bias=self.bias, name=self.name) return out def train(self): super().train() if self.merge_weights and self.merged: def unmerge(self):...
Use different trainable TimeMix factors for R / K / V in SA and FF layers. Example: xx = self.time_shift(x) xk = x * self.time_mix_k + xx * (1 - self.time_mix_k) xv = x * self.time_mix_v + xx * (1 - self.time_mix_v) xr = x * self.time_mix_r + xx * (...
FFTYPE_SELF 8 +#define FFTYPE_MAX 9 + +#define SORT_SI 0 +#define SORT_CI 1 +#define SORT_FF 2 +#define SORT_INF 3 +#define MAXSORTS 4 + +#define LTEAM_A 0 +#define LTEAM_B 1 +#define LTEAM_CURRENT 2 + +#define BREV_SI (1 << 0) // flags for MVP chat print ...
## Forward images in sample_img for predictions based on protobuf fileflow --pbLoad built_graph/yolo.pb --metaLoad built_graph/yolo.meta --imgdir sample_img/ If you'd like to load a.pband.metafile when usingreturn_predict()you can set the"pbLoad"and"metaLoad"options in place of the...
Also, we will not further discuss the role of the two feed-forward layers, but simply see it as a final vector-to-vector mapping required in each encoder block \({}^1\). The bi-directional self-attention layer puts each input vector \(\mathbf{x'}_j, \forall j \in ...