所以我的问题是,在克隆状态然后改变它之后,它也会影响先前的状态和所有其他克隆.我的第一个想法是我没有正确创建2d数组的深层副本,但我发现上面的代码没有任何问题. 有什么建议?谢谢 java clone deep-copy Ult*_*ent lucky-day -1推荐指数 1解决办法 201查看次数 java:深度复制列表列表的最佳方法 我正在...
isArray(source)) { const newArray: any[] = []; // (*) newArray: any[] weakMap.set(source, newArray); for (const item of source) { newArray.push(handleDeepCopy(item)); } return newArray as T; } // Set if (source instanceof Set) { const newSet = new Set(); // (*)...
Copy the neural network from the Neural Networks section before and modify it to take 3-channel images (instead of 1-channel images as it was defined). 代码语言:python 代码运行次数:0 运行 AI代码解释 import torch.nn as nn import torch.nn.functional as F class Net(nn.Module): def __init...
// Copy strides for (int i = 0; i < length; i++) { _originalStrides[i] = strides[i]; } } } // Standard getters const std::vector<std::unique_ptr<TadTrieNode>>& children() const { return _children; } LongType value() const { return _value; } int level() const { return...
运算符通常包括代数运算符(例如,+,×,exp和topK)、神经网络运算符(例如,卷积和池化)、张量运算符(例如,reshape、resize和copy)、广播和约简运算符(例如,min和argmin),以及控制流运算符(例如,条件和循环)。在这里,我们选择了三个代表性的运算符进行说明。此外,我们讨论了定制运算符的情况。 1)广播:广播运算符...
* * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, * USA. * * [Java is a trad...
This paper aims to explore the application of deep learning in smart contract vulnerabilities detection. Smart contracts are an essential part of blockchain technology and are crucial for developing decentralized applications. However, smart contract vul
Tensor.view()works only on contiguous tensors and willnevercopy memory. It will raise an error on a non-contiguous tensor. But you can make the tensor contiguous by callingcontiguous()and then you can callview(). Tensor.reshape()will work on any tensor andcanmake a clone if it is need...
This residual connection has two functions: (1) the output of the forward projector FP in RL deconvolution is a blurry copy of the current estimate, which approximates the microscope acquisition, and the residual connection acts similarly adding information learned by the network to the current ...
Compared to the 2D image data, they have multiple-channel dimensions. Meanwhile, the 3D CNN is more complex in computation which requires more computing resources. Thus, it is necessary to consider using lighter network structures or other methods. 3.2 Recurrent neural network Recurrent Neural ...