YouTip

# PyTorch torch.broadcast_tensors Function * * PyTorch torch Reference Manual](#) `torch.broadcast_tensors` is a PyTorch function for broadcasting multiple tensors. It broadcasts input tensors to the same shape and returns a set of tensors that can be used for element-wise operations. The broadcasting rules follow NumPy's broadcasting mechanism. ### Function Definition torch.broadcast_tensors(*tensors) * * * ## Usage Example ## Example import torch # Broadcasting tensors with different shapes x = torch.tensor([[1,2,3]])# Shape (1, 3) y = torch.tensor([,,])# Shape (3, 1) a, b = torch.broadcast_tensors(x, y) print("x Broadcasted Shape:", a.shape) print("y Broadcasted Shape:", b.shape) print("Broadcasted x:") print(a) print("Broadcasted y:") print(b) print("Element-wise Addition:") print(a + b) # Multiple tensors x1 = torch.randn(3,1,5) x2 = torch.randn(1,4,5) x3 = torch.randn(3,4,1) r1, r2, r3 = torch.broadcast_tensors(x1, x2, x3) print("Broadcasted Shape:", r1.shape) * * PyTorch torch Reference Manual](#) AI Processing... [](#)(#) [PyTorch torch.nn Reference Manual](#)[](#) [ByteDance Ark Cloud Coding Plan supports Doubao, GLM, DeepSeek, Kimi, MiniMax and other mainstream large models, official supply with stability and reliability. Configuration Guide ¥9.9/month Immediate Activation](https://maas.xfyun.cn/modelSquare?ch=maas_lm_l2E)