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# PyTorch torch.fmin Function * * PyTorch torch Reference Manual](#) `torch.fmin` is a PyTorch function for element-wise minimum value comparison (ignoring NaN). When inputs contain NaN values, `torch.minimum` returns NaN while `torch.fmin` ignores NaN and returns non-NaN values. ### Function Definition torch.fmin(input, other) * * * ## Usage Example ## Example import torch # Create tensor containing NaN x = torch.tensor([3.0,float('nan'),4.0]) y = torch.tensor([1.0,5.0,2.0]) # Element-wise minimum comparison (ignoring NaN) result = torch.fmin(x, y) print(result) Output result: tensor([1., 5., 2.]) * * PyTorch torch Reference Manual](#) AI Processing... [](#)(#) [PyTorch torch.nn Reference Manual](#)[](#) [Volcengine AI Coding Plan supports Doubao, GLM, DeepSeek, Kimi, MiniMax and other major models, officially provided with stability and reliability. Configuration Guide ¥9.9/month Immediate Access](https://maas.xfyun.cn/modelSquare?ch=maas_lm_l2E) ### Share Notes