• 修复 inplace foreach 操作中 torch.autograd.graph.allow_mutation_on_saved_tensors 的问题 • 修复 hardswish 反向传播的边界条件 • CPU 上 batchnorm 反向传播回退实现中 Half 类型求和使用 float 类型 • 修复 torch.compile + ddp + 非重入 AC pack hook 触发计数错误 线性代数 • 修复 eigh...
classM(torch.nn.Module):defforward(self,x):val=torch.neg(x)+torch.relu(x)returntorch.add(val,val)# 使用fx符号追踪获取模型结构traced=symbolic_trace(M())# 查看原计算图print(traced.graph)'''graph(x):%neg_1 : [#users=1] = call_function[target=torch.neg](args = (%x,), kwargs = ...
graph(): %x : torch.Tensor [num_users=1] = placeholder[target=x] %conv1 : [num_users=1] = call_moduletarget=conv1, kwargs = {}) %bn1 : [num_users=1] = call_moduletarget=bn1, kwargs = {}) %relu : [num_users=1] = call_moduletarget=relu, kwargs = {}) %maxpool : [...
(t)): return True return False def print_inputs(args, indent=""): for t in args: if isinstance(t, torch.Tensor): print(indent, t.stride(), t.shape, t.device, t.dtype) elif isinstance(t, list) or isinstance(t, tuple): print(indent, type(t)) print_inputs(list(t), indent=...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices,...
FSSD提出于《FSSD: Feature Fusion Single Shot Multibox Detector》中,使用了轻量化的FPN结构,来提高SSD的小目标检测效果。 在SSD中,对小目标的检测效果不佳,召回率低。因为小目标通常是浅层网络来进行预测的,特征抽象能力不足,缺乏语义信息;其次,小目标检测通常严重依赖于上下文信息。因此,FPN的提出是为了使浅层...
Changetorch.Tensor.new_tensor()to be on the given Tensor's device by default (#144958) This function was always creating the new Tensor on the "cpu" device and will now use the same device as the current Tensor object. This behavior is now consistent with other.new_*methods. ...
tensor(buf0, (1, 1, 68, 68), is_leaf=True) # memory_mask load_args._version = 0 if __name__ == '__main__': from torch._dynamo.repro.after_dynamo import run_repro run_repro(mod, load_args, accuracy=False, command='run', save_dir='/workspace/checkpoints', autocast=True, ...
1. 导致PyTorch tensors经常被转化为python types, 2. usage of external libraries 3. usage of Python constructs(classes, closures, exceptions, control flow, etc) 2.1 torch.jit.trace use record/replay with example inputs to produce a torchScript graph 利用示例输入的记录重放来生成 在pytorch.Dispatch...
net-scale-factor=0.0078 offsets=127.5;127.5;127.5 model-color-format=0 Add the label file generated above with the following: Copy Copied! labelfile-path=<Classification labels> For all options, refer to the configuration file below. To learn more about all the parameters, refer to the DeepS...