Coil,Transformer and IPM motor

For coil dataset，the shape of one data is [160,160,5]For transformer dataset，the shape of one data is [400,400,5]For IPM motor dataset，the shape of one data is [180,180,5]The first five layers consist of input device property information, while the sixth layer represents the FEA magnetic field distribution results.When using, please note to split the dataset into two parts, with x being transformed as follows:X = data[:, :, :5]X = np.transpose(X, (2, 0, 1))X = torch.from_numpy(X), and y being transformed as follows:y = data[:, :, 5]y = torch.from_numpy(y)y = y.unsqueeze(0)

针对线圈数据集，单个数据样本的形状为[160,160,5]。对于Transformer数据集，单个数据样本的形状为[400,400,5]。在IPM电机数据集中，单个数据样本的形状为[180,180,5]。其中，前五层包含输入设备属性信息，而第六层则表示有限元分析（FEA）磁场的分布结果。在使用时，请注意将数据集分为两部分，其中x的转换方式如下：X = data[:, :, :5]，X = np.transpose(X, (2, 0, 1))，X = torch.from_numpy(X)，而y的转换方式如下：y = data[:, :, 5]，y = torch.from_numpy(y)，y = y.unsqueeze(0)。