tf.reduce_any(input,dim) ----> input.any(dim) (pytorch)
tensorflow
>>> import tensorflow as tf
>>> tf.__version__
'1.15.0'
>>> a = tf.random.uniform((1,2,3))
>>> a = a>0
>>> a
<tf.Tensor 'Greater_1:0' shape=(1, 2, 3) dtype=bool>
>>> tf.reduce_any(a,axis=2)
<tf.Tensor 'Any_1:0' shape=(1, 2) dtype=bool>
pytorch
>>> import torch
>>> torch.__version__
'1.6.0'
>>> a = torch.randn(1,2,3)
>>> a
tensor([[[ 0.0755, -0.8000, 2.5655],
[-0.1672, -2.5226, 0.7619]]])
>>> a = a>0
>>> a
tensor([[[ True, False, True],
[False, False, True]]])
>>> a.any(1)
tensor([[ True, False, True]])
