再看看np.repeat() 和torch.Tensor.repeat_interleave() # numpy : # axis=1,将矩阵行进列扩展repeats 倍数,方式是将每列连续重复 # shape: 111,222,333 这样。 np.repeat(a,repeats=3,axis=1) Out[55]: tensor([[1, 1, 1, 2, 2, 2], [3, 3, 3, 4, 4, 4]]) # 将行进行(axis=0)...
torch.repeat()behaves differently fromnumpy.repeat, but is more similar tonumpy.tile. For the operator similar tonumpy.repeat, seetorch.repeat_interleave(). Parameters sizes (torch.Sizeorint...) – The number of times torepeat this tensor along each dimension Example: >>>x=torch.tensor([ 1...
np.mean(X , axis =0) axis 不设置值,对 m*n 个数求均值,返回一个实数 axis = 0:压缩行,对各列求均值,返回 (n,)向量 axis =1 :压缩列,对各行求均值,返回(m,)向量,二维中(axis=-1与axis=1等价) np.std() & np.var()# np.std(X, axis=0)np.var(X, axis=0)# 求方差 axis 不设置...
文章目录1. torch.randperm2. torch.repeat_interleave3. torch.linspace4. torch.bmm5. tensor.repeat6. tensor.transpose7.torch.eye8. torch.sort9. torch.randint10. torch.normal11. torch.arange12. torch.rand & pytorch实现随机裁剪 pytorch
也就是说，(i，j)-th条目是在第一点计算的第j次高斯项.一种天真的做法是：在用Python进行矩阵运算...
torch.repeat torch.repeat_interleave torch.nonzero 注意 torch.linspace 用于产生一个从start到stop均匀分布的tensor 数组,数组元素个数为 step 个。 数组取值范围是[start,stop]。 (左闭右闭) step可以理解为产生的1-D tensor数组的元素个数。 torch.arange 用于产生一个从start到stop范围的均匀分布的tensor数组...
Proposed new feature or change: 🚀 The feature, motivation and pitch Please provide total_repeat_length field to the pytorch repeat / repeat_interleave API. This feature is available on jnp.repeat and has valuable use cases for sparse LLM...
[88, 6, 6]]) np.repeat(arr1, repeats=2,axis=1) array([[ 1, 1, 2, 2], ...