check my minimal example:
import torch
x = torch.randn(4,2)
y = torch.nn.ReLU(x)
print(x)
print(y)
tensor([[-0.5674, -2.1012],
[-0.4920, -0.3471],
[-0.5981, 0.8400],
[ 1.7876, -0.1611]])
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-1-be685ec3279f> in <module>
4 y = torch.nn.ReLU(x)
5 print(x)
----> 6 print(y)
~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in __repr__(self)
1034 # We treat the extra repr like the sub-module, one item per line
1035 extra_lines = []
-> 1036 extra_repr = self.extra_repr()
1037 # empty string will be split into list ['']
1038 if extra_repr:
~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/activation.py in extra_repr(self)
100
101 def extra_repr(self):
--> 102 inplace_str = 'inplace' if self.inplace else ''
103 return inplace_str
104
RuntimeError: bool value of Tensor with more than one value is ambiguous
is this expected?
related posts:
- https://stackoverflow.com/questions/52946920/bool-value-of-tensor-with-more-than-one-value-is-ambiguous-in-pytorch
- RuntimeError: bool value of Variable objects containing non-empty torch.LongTensor is ambiguous
- RuntimeError: bool value of Tensor with more than one value is ambiguous
- https://discuss.pytorch.org/t/why-cant-one-pass-data-through-a-torch-relu-module-directly