=1c43260(current) 44k INFO emb_g.weight is not in the checkpoint 完整日志放下面了,如果有空的话...麻烦你们了0 0 train.log 非常经典的shape doesnt match错误。 这个错误是由于n_speaker参数与实际说话人的数量对不上导致的,解决方法很简单,把config里的n_speake
当你遇到这样的运行时错误:“RuntimeError: output with shape [1, 256, 256] doesn't match the broadcast shape”,这通常意味着你试图对两个形状不兼容的张量进行运算。 原因分析 维度不匹配: 可能的情况是,你有一个形状为 [1, 256, 256] 的张量,而另一个张量的形状不是 [1, 256, 256],且不满足...
transforms.Lambda(lambda x: x.repeat(3,1,1)), #添加这行 transforms.Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5)) ])
tensor.sub(mean[:, None, None]).div(std[:, None, None]) RuntimeError: output with shape [1, 96, 96] doesn't match the broadcast shape [3, 96, 96] File "pytorch_run.py", line 265, in for x, y in train_loader: (I noted some codes.)...
non-broadcastable output operand with shape (44,1) doesn't match the broadcast shape (44,2)
impl distributed launch with NCCL (#106)add cmake bits about NCCL move example to examples/NNmodel impl NCCL communicator add comm related function to Runtime export runtime interface add launch.py use unique name to distingush the the NCCL ID file add timeout to communicator init...
print("y_train's shape(before): ", y_train.shape) # 将训练集改为列向量的形式 """ 如果不转换,将会出错: w += -learning_rate * dw ValueError: non-broadcastable output operand with shape (10,1) doesn't match the broadcast shape (10,353) ...
te.lang.cce.broadcast(var, shape, output_dtype=None) 把var broadcast为大小为shape的tensor,结果的数据类型由output_dtype指定,var可以是标量,或者是一个tensor,要求var的shape与第二个参数shape的长度一致,每个维度的大小要么与shape相等,要么为1,为1的维度会被broadcast到与shape一致。例如var的维度为(2,1,...
te.lang.cce.broadcast(var, shape, output_dtype=None) 把var broadcast为大小为shape的tensor,结果的数据类型由output_dtype指定,var可以是标量,或者是一个tensor,要求var的shape与第二个参数shape的长度一致,每个维度的大小要么与shape相等,要么为1,为1的维度会被broadcast到与shape一致。例如var的维度为(2,1,...
Security Insights New issue Closed Description Crazyjoedevola yang-fei commentedon Jan 7, 2021 yang-fei liu-xb commentedon Jan 25, 2021 liu-xb sangwoomo closed this ascompletedon Feb 9, 2021 sangwoomo mentioned thison Feb 9, 2021