Threshold — PyTorch 1.10.1 documentation
pytorch.org › generated › torchThreshold. class torch.nn.Threshold(threshold, value, inplace=False) [source] Thresholds each element of the input Tensor. Threshold is defined as: y = { x, if x > threshold value, otherwise. y = \begin {cases} x, &\text { if } x > \text {threshold} \\ \text {value}, &\text { otherwise } \end {cases} y = {x, value, .
Masking/Threshold Tensor - PyTorch Forums
https://discuss.pytorch.org/t/masking-threshold-tensor/4039520.03.2019 · I have a tensor(A) of the Shape-> [1,3,13,13] Another tensor(B) of the shape-> [3] And a Threshold Value-> 0.5 I want to iterate over the -> X dimension of ->[1,X, 13, 13] Eg. B= [0.1, 0.3, 0.6] For each index of B[index], If its value > threshold make that [1,index, 13, 13] -> ZERO. I tried with-> A(dim1, dim2> threshold, dim3, dim4) = 0 But it gives error-> [Index out of Bounds] Any …
torch.nn.functional.threshold — PyTorch 1.10.1 documentation
pytorch.org › torchLearn about PyTorch’s features and capabilities. Community. Join the PyTorch developer community to contribute, learn, and get your questions answered. Developer Resources. Find resources and get questions answered. Forums. A place to discuss PyTorch code, issues, install, research. Models (Beta) Discover, publish, and reuse pre-trained models
Masking/Threshold Tensor - PyTorch Forums
discuss.pytorch.org › t › masking-threshold-tensorMar 20, 2019 · I have a tensor(A) of the Shape-> [1,3,13,13] Another tensor(B) of the shape-> [3] And a Threshold Value-> 0.5 I want to iterate over the -> X dimension of ->[1,X, 13, 13] Eg. B= [0.1, 0.3, 0.6] For each index of B[index], If its value > threshold make that [1,index, 13, 13] -> ZERO. I tried with-> A(dim1, dim2> threshold, dim3, dim4) = 0 But it gives error-> [Index out of Bounds] Any other way…
How to threshold a tensor into binary values？ - PyTorch Forums
discuss.pytorch.org › t › how-to-threshold-a-tensorFeb 09, 2018 · Previously, I used torch.round (prob) to do it. Since my prob tensor value range in [0 1]. This is equivalent to threshold the tensor prob using a threshold value 0.5. For example, prob = [0.1, 0.3, 0.7, 0.9], torch.round (prob) = [0, 0, 1, 1] Now, I would like to use a changeable threshold value, how to do it?
torch.Tensor — PyTorch 1.10.1 documentation
https://pytorch.org/docs/stable/tensorstorch.ByteTensor. /. 1. Sometimes referred to as binary16: uses 1 sign, 5 exponent, and 10 significand bits. Useful when precision is important at the expense of range. 2. Sometimes referred to as Brain Floating Point: uses 1 sign, 8 exponent, and 7 significand bits. Useful when range is important, since it has the same number of exponent bits ...
How to threshold a tensor into binary values？ - PyTorch Forums
https://discuss.pytorch.org/t/how-to-threshold-a-tensor-into-binary-values/1350009.02.2018 · I want to threshold a tensor used in self-defined loss function into binary values. Previously, I used torch.round(prob) to do it. Since my prob tensor value range in [0 1]. This is equivalent to threshold the tensor prob using a threshold value 0.5. For example, prob = [0.1, 0.3, 0.7, 0.9], torch.round(prob) = [0, 0, 1, 1] Now, I would like to use a changeable threshold value, …