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Reported by @chenyuntc
seems to cause error
import torch as t a=t.Tensor(2,4) b=t.Tensor(2,4) c=t.Tensor(2,8) t.cat(a,b,out=c)
TypeError Traceback (most recent call last) <ipython-input-1-ce3d61609aec> in <module>() 3 b=t.Tensor(2,4) 4 c=t.Tensor(2,8) ----> 5 t.cat(a,b,out=c) TypeError: cat received an invalid combination of arguments - got (torch.FloatTensor, torch.FloatTensor, out=torch.FloatTensor), but expected one of: * (sequence[torch.FloatTensor] seq) * (sequence[torch.FloatTensor] seq, int dim)
also see https://discuss.pytorch.org/t/cat-got-an-unexpected-keyword-argument-out/2151
The text was updated successfully, but these errors were encountered:
The call to cat is wrong.
t.cat([a,b], out=c) not t.cat(a,b,out=c)
t.cat([a,b], out=c)
t.cat(a,b,out=c)
Sorry, something went wrong.
Implement a visitor like class for KIR, move passes to it. (pytorch#1332
1a616d9
)
Conv-Bias-ReLU fusion (pytorch#1332)
23cfb57
* Enabled Conv-Bias-ReLU fusion The following modules are enabled using cuDNN runtime fusion: 1) Conv-Bias-ReLU (+backward) 2) Conv-Bias (+backward) 3) Conv-Bias-Mask-ReLU (+backward) * Casts cleanup and autocast in unittest - Remove redundant dtype casts - Simulate the usage in the unittest by using torch.cuda.amp.autocast Co-authored-by: Masaki Kozuki <mkozuki@nvidia.com> * Fixed save_for_backward Co-authored-by: Masaki Kozuki <mkozuki@nvidia.com> Co-authored-by: root <root@luna-0277.selene.nvidia.com>
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Reported by @chenyuntc
seems to cause error
also see https://discuss.pytorch.org/t/cat-got-an-unexpected-keyword-argument-out/2151
The text was updated successfully, but these errors were encountered: