cosine_similarity¶
- dragon.vm.torch.nn.functional.- cosine_similarity(
 x1,
 x2,
 dim=1,
 eps=1e-08
 )[source]¶
- Compute the cosine similarity between inputs. - Parameters:
- x1 (dragon.vm.torch.Tensor) – The first input tensor.
- x2 (dragon.vm.torch.Tensor) – The second input tensor.
- dim (int, optional, default=1) – The vector dimension.
- eps (float, optional, default=1e-8) – The epsilon value.
 
 - Returns:
- dragon.vm.torch.Tensor – The output tensor. 
 - See also 
