srch

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import torch.nn as nn import torch.nn.functional as F class Model(nn. ... Default: 1; threshold – values above this revert to a linear function. Default: 20 ...

Source code for norse.torch.functional.threshold. import torch import torch.jit import numpy as np from norse.torch.functional.heaviside import heaviside ...

Thresholds each element of the input Tensor. See Threshold for more details. torch.nn.functional.threshold_(input, threshold, value) → Tensor.

torch.nn.functional. threshold (input, threshold, value, inplace=False). Thresholds each element of the input Tensor. See Threshold for more details.

from torchmetrics.functional.audio import pesq >>> import torch >>> g ... threshold ( float ) – Threshold for transforming probability or logit predictions ...

The following are 24 code examples for showing how to use torch.nn.functional.threshold(). These examples are extracted from open source projects.

Bug torch.nn.functional.threshold and torch.nn.Threshold can work on Tensor but not work correctly for LongTensor variables.

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conv_transpose3d. Applies a 3D transposed convolution operator over an input image composed of several input planes, sometimes also called “deconvolution”. unfold. Extracts sliding local blocks from a batched input tensor. fold. Combines an array of sliding local blocks into a large containing tensor.