Below is the list Torch logsumexp best compiled by azsage.com
1 torch.Tensor.logsumexp — PyTorch 1.12 documentation
- Author: pytorch.org
- Summary: 06/19/2022
- Matching search results: 4.8 (716 vote)
- Source: Built with Sphinx using a theme provided by Read the Docs. torch.Tensor.logsumexp. Docs
2 PyTorch | 7. Numerical stability in PyTorch
- Author: effectivemachinelearning.com
- Summary: 12/09/2021
- Matching search results: 4.64 (204 vote)
- Source: import torch def unstable_softmax(logits): exp = torch.exp(logits) return exp … torch.logsumexp(scaled_logits, dim) return -torch.sum(labels
3 Optimized Log-Sum-Exp PyTorch Function | Ben Bolte’s Blog
- Author: ben.bolte.cc
- Summary: 03/08/2022
- Matching search results: 4.53 (336 vote)
- Source: · A walkthrough of how to optimize the log-sum-exp function in PyTorch. … 3).expand(bsz, p, n, m) return torch.logsumexp(a + b, dim=-1)
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
4 Feature request: logsumexp · Issue 2591 · pytorch/pytorch · GitHub
- Author: github.com
- Summary: 11/05/2021
- Matching search results: 4.35 (586 vote)
- Source: · When trying to export a model that uses torch.logsumexp with torch.onnx.export the follow error is thrown (pytorch 1.1.0)
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
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5 pyro.contrib.mue.missingdatahmm — Pyro documentation
- Author: docs.pyro.ai
- Summary: 10/31/2021
- Matching search results: 4.16 (288 vote)
- Source: SPDX-License-Identifier: Apache-2.0 import torch from torch.distributions … self.transition_logits = transition_logits – transition_logits.logsumexp( -1,
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
6 LogSumExp reduction — KeOps
- Author: kernel-operations.io
- Summary: 03/24/2022
- Matching search results: 3.84 (588 vote)
- Source: · import time import torch from matplotlib import pyplot as plt from torch.autograd import grad from pykeops.torch import Genred
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
7 tf.math.reducelogsumexp | TensorFlow v2.10.0
- Author: tensorflow.org
- Summary: 06/17/2022
- Matching search results: 3.6 (490 vote)
- Source: Computes log(sum(exp(elements across dimensions of a tensor)))
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
8 Logsumexp — tch_logsumexp • torch – Daniel Falbel
- Author: dfalbel.github.io
- Summary: 07/06/2022
- Matching search results: 3.4 (224 vote)
- Source: Returns the log(sum(exp(x))) of all elements in the x tensor. tch_logsumexp(x, dim, keepdim = FALSE). Arguments. x. tensor object
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
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9 scvi.core.distributions.negativebinomial — scvi 0.8.0 documentation
- Author: docs.scvi-tools.org
- Summary: 12/28/2021
- Matching search results: 3.39 (433 vote)
- Source: from typing import Union, Tuple, Optional import warnings import torch import … dim=0) softplus_pi = F.softplus(-pi_logits) log_mixture_nb = logsumexp
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
10 Logsumexp – R-Project.org
- Author: search.r-project.org
- Summary: 08/09/2022
- Matching search results: 3.1 (454 vote)
- Source: torch_logsumexp {torch}, R Documentation. Logsumexp. Description. Logsumexp … logsumexp(input, dim, keepdim=False, out=NULL)
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
11 PyTorch – torch.logsumexp – 返回输入张量的每一行的指数之和的对数,在给定的
- Author: runebook.dev
- Summary: 11/12/2021
- Matching search results: 2.97 (84 vote)
- Source: torch.logsumexp. torch.logsumexp(input, dim, keepdim=False, *, out=None). 返回给定维度 dim 中 input 张量的每一行的总指数对数。该计算在数值上是稳定的。
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
12 Pytorch中logsumexp函数的用法 – CSDN博客
- Author: blog.csdn.net
- Summary: 01/12/2022
- Matching search results: 2.76 (101 vote)
- Source: · 这里给出一个简单的例子。 … 啥是log-sum-exp呢， 在损失函数BCEWithLogitsLoss中，Torch官方文档给出的解释是，就是在sigmoid后接了BCELoss。通过将这些
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
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13 fairseq/examples/translationmoe/translationmoesrc/logsumexpmoe.py · HarryLee/eCommerceImageCaptioning at main
- Author: huggingface.co
- Summary: 02/28/2022
- Matching search results: 2.78 (95 vote)
- Source: Function): “””Standard LogSumExp forward pass, but use *posterior* for the … dim return torch.logsumexp(logp, dim=dim) @staticmethod def backward(ctx,
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
14 torchstruct.semirings.sample — pytorch-struct 0.4 documentation
- Author: nlp.seas.harvard.edu
- Summary: 05/27/2022
- Matching search results: 2.67 (138 vote)
- Source: import torch import torch.distributions from .semirings import _BaseLog … torch.tensor(dim)) return torch.logsumexp(input, dim=dim) @staticmethod def
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
15 Pytorch masked `log_sum_exp` – gists · GitHub
- Author: gist.github.com
- Summary: 04/14/2022
- Matching search results: 2.53 (91 vote)
- Source: Equivalent of log(sum(exp(inputs), keepdim=keepdim)). “”” if mask is not None: mask = 1. – mask. max_offset = -1e7 * mask. else: max_offset = 0
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
16 Torch_scatter.logsumexp — pytorch_scatter 1.4.0 documentation
- Author: pytorch-scatter.readthedocs.io
- Summary: 01/09/2022
- Matching search results: 2.35 (76 vote)
- Source: Source code for torch_scatter.logsumexp. import torch from . import scatter_add, scatter_max. [docs]def scatter_logsumexp(src, index, dim=-1, out=None,
- Details: I’ve recently been working on writing a CUDA kernel for a project I’ve been working on. I haven’t done much CUDA programming before, but it’s been an interesting journey that I thought would be a useful exercise to share with other people. I’m going …
