srch

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

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

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

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.

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

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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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 ...