srch

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

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.

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

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

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

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

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 ...

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

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