y=torch.rand((batch_size,len_y,dims))# Transfer tensors to the GPUx=x.cuda()y=y.cuda()# Create the "criterion" objectsdtw=SoftDTW(use_cuda=True,gamma=0.1)# Compute the loss valueloss=sdtw(x,y)# Just like any torch.nn.xyzLoss()# Aggregate and call backward()loss.mean()....
dtwpytorch实现pytorchdpddp 0 概述在深度学习中, 出于训练效率的考虑, 甚至有时候模型太大导致单个GPU卡放不下的情况, 这时候都需要用到分布式训练。 从大的方面分类, 并行训练可以分为数据并行, 模型并行以及混合并行3种。其中数据并行应用最为广泛, 也比较成熟。而模型并行目前还不够成熟, 缺乏统一的方案。本文...
TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END...
"loss # loss是个scalar" ] }, { @@ -953,34 +1089,18 @@ }, { "cell_type": "code", "execution_count": 32, "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "反向传播之前 conv1.bias的梯度\n", "Variable con...
TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END...
the loss, and all Tensors in the graph that has ``requires_grad=True``\nwill have their ``.grad`` Tensor accumulated with the gradient.\n\nFor illustration, let us follow a few steps backward:\n\n" ] }, { "cell_type": "code", "execution_count": null, ...
大体的流程分为四步:(1)根据不同距离的邻居信息分别算出每个节点对的结构相似度,这涉及到了不同层次的结构相似度的计算,其中使用DTW(一种动态规划方法)计算有序度序列的距离;(2)构建一个多层次的带权重网络M,每个层次中的节点皆由原网络中的节点构成,距离计算对应其层数的有序度序列的距离;(3)在M中生成随机...
TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END...
TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END...
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