Tag: Kernel

Bug#1024835: python-pauvre: ftbfs with biopython 1.80

Source: python-pauvre Version: 0.2.3-1 Severity: important Tags: ftbfs Dear Maintainer, python-pauvre fails its build time test suite when built against biopython 1.80 in experimental but builds successfully against biopython 1.79. The relevant part of the log in case of failure shows: I: pybuild base:240: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_pauvre/build; python3.10 -m unittest discover -v test_normal_plotting_scenario (pauvre.tests.test_synplot.libSeq_test_case) This…

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Re: [PATCH 2/3] hwmon (coretemp): Add support for dynamic tjmax

Re: [PATCH 2/3] hwmon (coretemp): Add support for dynamic tjmax – Guenter Roeck From: Guenter Roeck <linux@roeck-us.net> To: Zhang Rui <rui.zhang@intel.com> Cc: jdelvare@suse.com, fenghua.yu@intel.com, linux-hwmon@vger.kernel.org, srinivas.pandruvada@linux.intel.com Subject: Re: [PATCH 2/3] hwmon (coretemp): Add support for dynamic tjmax Date: Fri, 11 Nov 2022 13:26:45 -0800 [thread overview] Message-ID: <20221111212645.GA1059539@roeck-us.net> (raw) In-Reply-To:…

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Scikit-Learn Cheat Sheet (2022), Python for Data Science

The absolute basics for beginners learning Scikit-Learn in 2022 Photo from Unsplash by Tim Stief Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression, clustering algorithms, and efficient tools for data mining and data analysis. It’s built on NumPy, SciPy, and Matplotlib. Sections:1….

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Sbatch How Submitted Location Using Jobid With Code Examples

Sbatch How Submitted Location Using Jobid With Code Examples With this piece, we’ll take a look at a few different examples of Sbatch How Submitted Location Using Jobid issues in the computer language. scontrol show job your_job_id_234533 We learned how to solve the Sbatch How Submitted Location Using Jobid by…

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Use platform data directly instead of copying

[PATCH] mailbox: mtk-cmdq-mailbox: Use platform data directly instead of copying * [PATCH] mailbox: mtk-cmdq-mailbox: Use platform data directly instead of copying @ 2022-11-02 10:07 AngeloGioacchino Del Regno 0 siblings, 0 replies; only message in thread From: AngeloGioacchino Del Regno @ 2022-11-02 10:07 UTC (permalink / raw) To: jassisinghbrar Cc: matthias.bgg,…

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ParseCNV2: efficient sequencing tool for copy number variation genome-wide association studies

Wang K, Li M, Hadley D, Liu R, Glessner J, Grant SF, et al. PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007;17:1665–74. Article  CAS  PubMed  PubMed Central  Google Scholar  Chang CC, Chow CC, Tellier LC, Vattikuti S,…

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Jupyter Sagemath Kernel With Code Examples

Jupyter Sagemath Kernel With Code Examples In this session, we are going to try to solve the Jupyter Sagemath Kernel puzzle by using the computer language. The code that follows serves as an illustration of this point. mkdir -p /usr/local/share/jupyter/kernels ln -nsf /opt/SageMath/local/share/jupyter/kernels/sagemath /usr/local/share/jupyter/kernels/sagemath The Jupyter Sagemath Kernel was solved…

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[PATCH 07/14] iio: st_sensors: core and lsm9ds0 switch to devm_regulator_bulk_get_enable()

[PATCH 07/14] iio: st_sensors: core and lsm9ds0 switch to devm_regulator_bulk_get_enable() – Jonathan Cameron From: Jonathan Cameron <jic23@kernel.org> To: linux-iio@vger.kernel.org Cc: Matti Vaittinen <mazziesaccount@gmail.com>, Matti Vaittinen <matti.vaittinen@fi.rohmeurope.com>, Cosmin Tanislav <cosmin.tanislav@analog.com>, Jagath Jog J <jagathjog1996@gmail.com>, Sean Nyekjaer <sean@geanix.com>, Dmitry Rokosov <DDRokosov@sberdevices.ru>, Linus Walleij <linus.walleij@linaro.org>, Andy Shevchenko <andriy.shevchenko@linux.intel.com>, Michael Hennerich <michael.hennerich@analog.com>, Lorenzo Bianconi…

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MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network | BMC Bioinformatics

Problem description Limited by time and cost, exploring the correlations between circRNAs and human diseases based on biological experiments has encountered many difficulties and bottlenecks. Instead of traditional experiments, computational methods are proved to be an efficient and accurate way to discover the potential connections between circRNAs and diseases. Data…

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GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet

GWAS identifies genetic variations associated with agronomic traits in foxtail millet A total of 827 foxtail millet cultivars collected from China were sequenced and genotyped using common single-nucleotide polymorphisms (SNPs) based on a ~423 Mb Setaria italica cv. Zhanggu reference genome (v.2.3)27. In total, 161,562 SNPs were detected after stringent steps…

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python – scikit-learn RandomizedSearchCV doesn’t utilise all available cores

I’m using RandomizedSearchCV to optimize and evaluate several ML models. I’m trying to run the optimization process using joblib Parallel(). But, when running my code on an HPC using 16 cores, only two of them are used. jobs = 16 x = Parallel(n_jobs=jobs, backend=’multiprocessing’, verbose=3)(delayed(fit)(m, X_train, y_train, n_iter= 3, cv…

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‘info jupyterhub’ displays the manpage although it suggests ‘info’ to get the full doc

Package: jupyterhub Version: 2.0.0+ds1-2 Severity: normal X-Debbugs-Cc: gkni…@australdx.fr Dear Maintainer, ‘man jupyterhub’ ends with: > The full documentation for jupyterhub is maintained as a Texinfo manual. If the info and jupyterhub programs are properly installed at your site, the command > info jupyterhub > should give you access to the complete manual. although…

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GPU inference doesn’t work when importing open3d

Thanks for your error report and we appreciate it a lot. Checklist I have searched related issues but cannot get the expected help. I have read the FAQ documentation but cannot get the expected help. The bug has not been fixed in the latest version. Describe the bug The GPU…

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Not enough memory on RTX 3090 to train ViTDet?

If you do not know the root cause of the problem, please post according to this template: Instructions To Reproduce the Issue: I’m trying to train an instance segmentation ViTDet model with a custom and relatively small dataset (6000 images of 640×480) I’m using Windows 10 and RTX 3090. I’m…

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The handwritten digit data set MNIST is a subset of

Transcribed image text: The handwritten digit data set MNIST is a subset of NIST, which can be used for simple implementation of machine learning algorithms. In this problem, you will use support vector machine to finish the classification of MNIST. www . kaggle. com/c/digit-recognizer/data 4.1 Load the first 10 K samples…

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Don’t error if there is no pdata

[PATCH] leds: max8997: Don’t error if there is no pdata * [PATCH] leds: max8997: Don’t error if there is no pdata @ 2022-08-07 10:40 Paul Cercueil 2022-08-08 13:16 ` Andy Shevchenko 0 siblings, 1 reply; 2+ messages in thread From: Paul Cercueil @ 2022-08-07 10:40 UTC (permalink / raw) To:…

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[PATCH 2/2] iio: st_sensors: Fix null pointer on defer_probe error

[PATCH 2/2] iio: st_sensors: Fix null pointer on defer_probe error – Matti Lehtimäki From: “Matti Lehtimäki” <matti.lehtimaki@gmail.com> To: linux-iio@vger.kernel.org Cc: ~postmarketos/upstreaming@lists.sr.ht, “Matti Lehtimäki” <matti.lehtimaki@gmail.com>, “Jonathan Cameron” <jic23@kernel.org>, “Lars-Peter Clausen” <lars@metafoo.de>, “Miquel Raynal” <miquel.raynal@bootlin.com>, “Linus Walleij” <linus.walleij@linaro.org>, “Cai Huoqing” <cai.huoqing@linux.dev>, “Alexandru Ardelean” <aardelean@deviqon.com>, linux-kernel@vger.kernel.org Subject: [PATCH 2/2] iio: st_sensors: Fix null…

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Maize Shrek1 encodes a WD40 protein that regulates pre-rRNA processing in ribosome biogenesis

doi: 10.1093/plcell/koac216. Online ahead of print. Affiliations Expand Affiliations 1 The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao 266237, China. 2 National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Henan…

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[Buildroot] [git commit branch/2022.02.x] package/libmodsecurity: needs dynamic library with libcurl and mbedtls

[Buildroot] [git commit branch/2022.02.x] package/libmodsecurity: needs dynamic library with libcurl and mbedtls – Peter Korsgaard From: Peter Korsgaard <peter@korsgaard.com> To: buildroot@buildroot.org Subject: [Buildroot] [git commit branch/2022.02.x] package/libmodsecurity: needs dynamic library with libcurl and mbedtls Date: Tue, 19 Jul 2022 18:35:54 +0200 [thread overview] Message-ID: <20220719162323.01D1283DF5@busybox.osuosl.org> (raw) commit: git.buildroot.net/buildroot/commit/?id=2d021a7e7163d13b604d508602288e7190ab63dc branch: git.buildroot.net/buildroot/commit/?id=refs/heads/2022.02.x

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Protein and functional isoform levels and genetic variants of the BAFF and APRIL pathway components in systemic lupus erythematosus

Pons-Estel, G. J., Ugarte-Gil, M. F. & Alarcón, G. S. Epidemiology of systemic lupus erythematosus. Expert Rev. Clin. Immunol. 13, 799–814 (2017). CAS  PubMed  Article  Google Scholar  Tsokos, G. C. Systemic lupus erythematosus. N. Engl. J. Med. 365, 2110–2121 (2011). CAS  PubMed  Article  Google Scholar  Bossen, C. & Schneider, P….

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ARCH= -gencode arch=compute for NX: – Jetson Xavier NX

hi,i am working on jetson Xavier NX box,i updated to jetpack 5.0.1 and deepstream6.1 right now.before i setup ARCH= -gencode arch=compute 72 for NX to train some models.but i cmake another file yesterday it detected arch-gencode 75!so i am confuse right now, should i setup 72 or 75 for jetson…

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Re: [net-next: PATCH 11/12] net: dsa: mv88e6xxx: switch to device_/fwnode_ APIs

Re: [net-next: PATCH 11/12] net: dsa: mv88e6xxx: switch to device_/fwnode_ APIs – Marcin Wojtas From: Marcin Wojtas <mw@semihalf.com> To: Andy Shevchenko <andriy.shevchenko@linux.intel.com> Cc: Linux Kernel Mailing List <linux-kernel@vger.kernel.org>, ACPI Devel Maling List <linux-acpi@vger.kernel.org>, netdev <netdev@vger.kernel.org>, “Rafael J. Wysocki” <rafael@kernel.org>, Len Brown <lenb@kernel.org>, Andrew Lunn <andrew@lunn.ch>, vivien.didelot@gmail.com, Florian Fainelli <f.fainelli@gmail.com>, Vladimir…

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Convert ONNX RuntimeError: tin_shift_forward_impl: implementation for device cpu not found.

when convert tin to onnx meet this issue: RuntimeError: tin_shift_forward_impl: implementation for device cpu not found. env:sys.platform: linuxPython: 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0]CUDA available: TrueGPU 0,1: Tesla T4CUDA_HOME: /usr/local/cudaNVCC: Cuda compilation tools, release 11.4, V11.4.120GCC: x86_64-linux-gnu-gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0PyTorch: 1.9.1+cu111PyTorch compiling details: PyTorch built with: GCC 7.3…

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main-i386-default][science/cp2k] Failed for cp2k-9.1.0 in configure

You are receiving this mail as a port that you maintain is failing to build on the FreeBSD package build server. Please investigate the failure and submit a PR to fix build. Maintainer: y…@freebsd.org Log URL: beefy17.nyi.freebsd.org/data/main-i386-default/p429f3de9bdcd_s2573e6ced9/logs/cp2k-9.1.0.log Build URL: beefy17.nyi.freebsd.org/build.html?mastername=main-i386-default&build=p429f3de9bdcd_s2573e6ced9 Log: =>> Building science/cp2k build started at Sat Jun 4…

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fix checkpatch.pl struct should normally be const — DRI Development

Hi Uri, Thank you for the patch! Yet something to improve: [auto build test ERROR on staging/staging-testing] url: github.com/intel-lab-lkp/linux/commits/Uri-Arev/staging-fbtft-fix-checkpatch-pl-struct-should-normally-be-const/20220520-012948 base: git.kernel.org/pub/scm/linux/kernel/git/gregkh/staging.git 4d0cc9e0e53e9946d7b8dc58279c62dfa7a2191b config: arm64-randconfig-r011-20220519 (download.01.org/0day-ci/archive/20220520/202205200821.nJQ0IfFt-lkp@xxxxxxxxx/config) compiler: clang version 15.0.0 (github.com/llvm/llvm-project e00cbbec06c08dc616a0d52a20f678b8fbd4e304) reproduce (this is a W=1 build): wget raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install arm64 cross compiling tool…

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[Kernel-packages] [Bug 1969434] Autopkgtest regression report (linux-meta-oem-5.17/5.17.0.1005.5)

All autopkgtests for the newly accepted linux-meta-oem-5.17 (5.17.0.1005.5) for jammy have finished running. The following regressions have been reported in tests triggered by the package: dahdi-linux/1:2.11.1~dfsg-1ubuntu11 (amd64) r8168/8.049.02-1ubuntu1 (amd64) Please visit the excuses page listed below and investigate the failures, proceeding afterwards as per the StableReleaseUpdates policy regarding autopkgtest regressions…

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handle VPN drops for long-running notebooks : JupyterNotebooks

Summary of my needs Retail supply-chain data from relational databases. Data sets are usually 1 – 100 GB in size. All data is on-prem in my employer’s data center, not cloud based. Pandas or Dask and scikit-learn for clustering, classification, and regression Models often take several hours to train. Pandas…

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48735640

%PDF-1.6 % 1 0 obj >/OCGs[4 0 R 5 0 R 6 0 R 7 0 R]>>/Outlines 2 0 R/Pages 3 0 R/Type/Catalog>> endobj 8 0 obj >stream 2022-05-04T11:05:29-07:00 2022-05-02T18:12:27-07:00 2022-05-04T11:05:29-07:00 Appligent AppendPDF Pro 5.5 uuid:ff14d67b-b406-11b2-0a00-782dad000000 uuid:6c5a6948-1dd2-11b2-0a00-1e00285ab7ff application/pdf 48735640 Administrator Acrobat Distiller 8.1.0 (Windows) AppendPDF Pro 5.5 Linux Kernel 2.6 64bit…

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How to upgrade Kernel version? – JupyterHub

I have.a JupyterHub running in a local K8s cluster, deployed via KubeApps. It works like.a charm, except for the fact that it is running Python 3.7. I would like to upgrade it to Python 3.10. I tried to run conda update python and conda install -y python=3.10 from the notebook,…

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Teach you how to implement the MNIST dataset of pytorch

catalogue summary get data network model Train function Test function Main function Full code: summary MNIST contains handwritten digits from 0 to 9, with 60000 training sets and 10000 test sets The data format is a single channel 28 * 28 gray image get data def get_data(): “” “get data”…

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phylogenetics – Biopython reads my tree eternally long

I have a nexus tree (1332 taxa) with a lot of additional data. When I tried to read it through tree = Phylo.read(treepath, “nexus”), my kernel got eternally loaded. If I abort the process, I get the following message: ————————————————————————— KeyboardInterrupt Traceback (most recent call last) Input In [95], in…

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Fix error handling in pcm030_fabric_probe

[PATCH] ASoC: fsl: Fix error handling in pcm030_fabric_probe * [PATCH] ASoC: fsl: Fix error handling in pcm030_fabric_probe @ 2022-03-01 7:53 Miaoqian Lin 2022-03-02 13:44 ` Mark Brown 0 siblings, 1 reply; 7+ messages in thread From: Miaoqian Lin @ 2022-03-01 7:53 UTC (permalink / raw) To: Liam Girdwood, Mark Brown,…

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Re: [PATCH] staging: rtl8712: fix uninit-value “data” and “mac”

Re: [PATCH] staging: rtl8712: fix uninit-value “data” and “mac” – Dan Carpenter From: Dan Carpenter <dan.carpenter@oracle.com> To: Wang Cheng <wanngchenng@gmail.com> Cc: Larry.Finger@lwfinger.net, florian.c.schilhabel@googlemail.com, gregkh@linuxfoundation.org, linux-staging@lists.linux.dev, linux-kernel@vger.kernel.org Subject: Re: [PATCH] staging: rtl8712: fix uninit-value “data” and “mac” Date: Fri, 15 Apr 2022 13:02:23 +0300 [thread overview] Message-ID: <20220415100223.GS3293@kadam> (raw) In-Reply-To: <20220415094705.aibh3jr4wzhddmud@ppc.localdomain>…

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pytorch – 1D Sequence Classification with self-supervised learning

I am working on a multi-class classification task on long one-dimensional sequences. The sequence length may vary in the range $[512, 30720]$, and there is one feature associated each time-step in the range. This means that the input to the model is of the shape $(N, 1, L)$ where $N$…

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Enable MBEDTLS debugging Nordic provided security backend (for CoAP Secure via OpenThread on nRF5340) – Nordic Q&A – Nordic DevZone

Goal Hi guys, is there an option to enable MBEDTLS debugging as with the CONFIG_MBEDTLS_DEBUG_LEVEL=4 for the MBEDTLS_BUILTIN? I am trying to setup a DTLS client based in order to establish a CoAP Secure Session via Openthread to a Borderrouter and I am struggling in the handshake process. It would…

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kernel density score VS score_samples python scikit

score() uses score_samples() as follows: return np.sum(self.score_samples(X)) So, that’s why you should use score_samples() in your case. It’s a bit hard to tell, without any code, but: We assume your points you want to evaluate are saved within array X and you have a kernel density estimation kde, so you…

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[Kernel-packages] [Bug 1966093] Autopkgtest regression report (nvidia-graphics-drivers-390/390.147-0ubuntu0.18.04.1)

All autopkgtests for the newly accepted nvidia-graphics-drivers-390 (390.147-0ubuntu0.18.04.1) for bionic have finished running. The following regressions have been reported in tests triggered by the package: nvidia-graphics-drivers-390/390.147-0ubuntu0.18.04.1 (i386) Please visit the excuses page listed below and investigate the failures, proceeding afterwards as per the StableReleaseUpdates policy regarding autopkgtest regressions [1]. people.canonical.com/~ubuntu-archive/proposed-

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Tutorial: How to Connect Jupyter Notebooks to Ocean for Apache Spark – The Spot by NetApp Blog

Jupyter Notebook is a web-based interactive computational environment for creating notebook documents. It supports programming languages – such as Python, Scala, R – and is largely used for data engineering, data analysis, machine learning, and further interactive, exploratory computing. Think of notebooks like a developer console or terminal, but with…

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Running rstudio (but not R alone) inside of a conda environment complains about finding Rccp.so

I find that when I try to load some packages in a conda environement, when using rstudio (but not when I’m using R directly), I get an error message about a missing Rcpp.so file. I activate my conda environment (which is running R version 4.1), open RStudio (which I installed…

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Assist in drug research and development, accelerate alphafold training at low cost from 11 days to 67 hours, and accelerate reasoning 11 times

AlphaFold By Science and Nature The selection of 2021 year The top ten scientific breakthroughs . LuChen technology and Huashen Zhiyao jointly open source AlphaFold Training reasoning acceleration scheme FastFold, take GPU Optimization and large model training technology are introduced AlphaFold The training and reasoning of , Will succeed AlphaFold…

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PyTorch Pretrained Model – Python Guides

In this Python tutorial, we will learn about the PyTorch Pretrained model and we will also cover different examples related to the PyTorch pretrained model. And, we will cover these topics. PyTorch pretrained model PyTorch pretrained model example PyTorch pretrained model feature extraction PyTorch pretrained model cifar 10 PyTorch pretrained…

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Python Scikit Learn and sysv-ipc for imx8mq yocto …

Hello people, I am working on imx8mq EVK board. I am using yocto build for creation my image for the EVK. I am using Linux kernel version 5.4.70-2.3.2. I would like to add some python packages to my image. For most of the packages, I can see the .bb files…

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HPC-AI’s FastFold Shortens AlphaFold Training Time from 11 Days to 67 Hours

DeepMind’s AlphaFold 2 grabbed headlines last year by leveraging a transformer-based model architecture to achieve atomic accuracy in protein structure prediction. While the development of deep neural networks (DNNs) has enabled significant performance improvements across a variety of natural language processing and computer vision tasks, AlphaFold’s success showed that DNNs…

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Frontiers | Machine Learning and Deep Learning Applications in Metagenomic Taxonomy and Functional Annotation

Introduction The study of the microbial environments has benefited from the sequencing revolution, where technology improvement decreased the DNA sequencing cost and increased the number of sequenced nucleic bases. For approximately 20 years (depending on how we define the term metagenomics), it has allowed the decryption of the microbial composition…

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ETSformer-pytorch 0.0.1 on PyPI – Libraries.io

ETSformer – Pytorch (wip) Implementation of ETSformer, state of the art time-series Transformer, in Pytorch Install $ pip install etsformer-pytorch Python import torch from etsformer_pytorch.etsformer_pytorch import ETSFormer model = ETSFormer( time_features = 4, model_dim = 512, # in paper they use 512 embed_kernel_size = 3, # kernel size for 1d…

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Bioconductor – cytoKernel

DOI: 10.18129/B9.bioc.cytoKernel     Differential expression using kernel-based score test Bioconductor version: Release (3.14) cytoKernel implements a kernel-based score test to identify differentially expressed features in high-dimensional biological experiments. This approach can be applied across many different high-dimensional biological data including gene expression data and dimensionally reduced cytometry-based marker expression…

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Issue with Conv2d arguments in PyTorch

I am getting the following error when I run this code for a neural network in PyTorch: TypeError: conv2d() received an invalid combination of arguments – got (method, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of: (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of…

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A Comprehensive Guide on ggplot2 in R

                                                                  Image source: Author       Introduction Visualization plays an important role in the decision-making process after analyzing relevant data. Graphical representation highlighting the interdependence of key elements affecting performance is important in the above process. There are many libraries in Python and R which provide different options showing…

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Nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified – CUDA Programming and Performance

Hello, During I execute setup.py through pytorch, I faced the error “nvcc fatal : single input file is required for a non-link phase when an outputfile is specified” Could you help me out solving the problem? Code is like below. import osimport reimport subprocessimport sys from setuptools import setup#from skbuild…

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[Kernel-packages] [Bug 1786013] Autopkgtest regression report (linux-meta-hwe-5.13/5.13.0.32.35~20.04.18)

All autopkgtests for the newly accepted linux-meta-hwe-5.13 (5.13.0.32.35~20.04.18) for focal have finished running. The following regressions have been reported in tests triggered by the package: nvidia-graphics-drivers-340/340.108-0ubuntu5.20.04.2 (amd64) systemd/245.4-4ubuntu3.15 (ppc64el, s390x, amd64) Please visit the excuses page listed below and investigate the failures, proceeding afterwards as per the StableReleaseUpdates policy regarding…

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u-net deployment based on tensorrt

The code used in this project is pytorch-Unet, Link to :GitHub – milesial/Pytorch-UNet: PyTorch implementation of the U-Net for image semantic segmentation with high quality images. The project is based on the scale of the original image as the final input , This for data If the size of the…

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Convert to use GPIO descriptors

[PATCH v2] media: m5mols: Convert to use GPIO descriptors * [PATCH v2] media: m5mols: Convert to use GPIO descriptors @ 2022-02-24 0:13 Linus Walleij 0 siblings, 0 replies; only message in thread From: Linus Walleij @ 2022-02-24 0:13 UTC (permalink / raw) To: Mauro Carvalho Chehab, linux-media Cc: Linus Walleij,…

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python – Pytorch CNN issue with loss not changing

I am making a CNN for fluid prediction generation on Pytorch. My input is a batchx100x200x100 array containing levelset data, and my training output is also a batchx100x200x100 array containing laser flux data. So this is a regression problem. I am very confused with building CNN model for my data…

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[PATCH 3/3] leds: regulator: Make probeable from device tree

[PATCH 3/3] leds: regulator: Make probeable from device tree – Linus Walleij From: Linus Walleij <linus.walleij@linaro.org> To: Pavel Machek <pavel@ucw.cz> Cc: linux-leds@vger.kernel.org, Linus Walleij <linus.walleij@linaro.org>, Antonio Ospite <ao2@ao2.it> Subject: [PATCH 3/3] leds: regulator: Make probeable from device tree Date: Sun, 20 Feb 2022 00:56:07 +0100 [thread overview] Message-ID: <20220219235607.1613686-3-linus.walleij@linaro.org> (raw)…

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fix the error handling in wfx_init_common()

[PATCH] staging: wfx: fix the error handling in wfx_init_common() * [PATCH] staging: wfx: fix the error handling in wfx_init_common() @ 2022-02-17 15:29 xkernel.wang 2022-02-17 15:36 ` Greg KH 0 siblings, 1 reply; 2+ messages in thread From: xkernel.wang @ 2022-02-17 15:29 UTC (permalink / raw) To: jerome.pouiller, gregkh; +Cc: linux-staging,…

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Simpler explanation of some CREST/xtb environment variables (Conformer searching) : comp_chem

Hi,I am working with CREST/xtb to do some conformer searches. Been reading the docs to understand how to configure the environmental variables. I want to adjust them to suit my system (24 threads workstation) but not sure what to adjust. Wondering if someone can assist in explaining these with simpler…

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[PATCH v1 5/9] drm/bridge: ti-sn65dsi86: Fetch bpc via drm_bridge_state

[PATCH v1 5/9] drm/bridge: ti-sn65dsi86: Fetch bpc via drm_bridge_state – Sam Ravnborg From: Sam Ravnborg <sam@ravnborg.org> To: dri-devel@lists.freedesktop.org, Douglas Anderson <dianders@chromium.org> Cc: Rob Clark <robdclark@chromium.org>, Philip Chen <philipchen@chromium.org>, Jitao Shi <jitao.shi@mediatek.com>, Thomas Zimmermann <tzimmermann@suse.de>, Jonas Karlman <jonas@kwiboo.se>, Robert Foss <robert.foss@linaro.org>, Neil Armstrong <narmstrong@baylibre.com>, Jernej Skrabec <jernej.skrabec@gmail.com>, Andrzej Hajda <a.hajda@samsung.com>, Laurent…

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Make use of device properties

From Andy Shevchenko <> Subject [PATCH v1 1/1] iio: frequency: adf4350: Make use of device properties Date Wed, 2 Feb 2022 22:29:36 +0200 Convert the module to be property provider agnostic and allowit to be used on non-OF platforms.Signed-off-by: Andy Shevchenko <andriy.shevchenko@linux.intel.com>—drivers/iio/frequency/adf4350.c | 103 +++++++++++++——————-1 file changed, 42 insertions(+), 61…

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Gromacs: src/gromacs/nbnxm/kernels_reference Directory Reference

Directory dependency graph for kernels_reference: This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead. Files file   kernel_gpu_ref.cpp   file   kernel_gpu_ref.h   Declares GPU reference kernel.   file   kernel_ref.cpp   file   kernel_ref.h   Declares CPU reference kernels.   file   kernel_ref_includes.h…

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Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

This protocol allows for the preparation of transverse sections of cereal seeds (e.g., rice) for the analysis of endosperm and starch granule morphology using scanning electron microscopy. This protocol allows seeds to be sliced intact so they don’t crumble, permitting visualization of starch granules in any seed that can fit…

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convolutional neural networks – What the specific dimensions in Pytorch torch.Conv2D mean?

This post is about specific software, hardware, datasets, or pre-trained models. Want to improve this question? Update the question so it’s on-topic for Artificial Intelligence Stack Exchange. Closed yesterday. This post was edited and submitted for review 6 hours ago. x =…

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Install CUDA on NVIDIA Jetson Nano

Hardware Pre-requisite Jetson Nano A 5V 4Ampere Charger 64GB SD card Software Preparing Your Raspberry Pi Flashing Jetson SD Card Image Unzip the SD card image Insert SD card into your system. Bring up Etcher tool and select the target SD card to which you want to flash the image….

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H2O is an in-memory platform for distributed, scalable machine learning

H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O provides implementations of many popular algorithms such as Generalized Linear Models (GLM), Gradient…

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apache spark – Pyspark kernel in jupyterhub, access to master remotely

i have two kernels for Spark, one to run locally and one to run towards a cluster. Is there a way to set an environment variable to my spark master so that users dont have to define master in SparkContext in the kernel which is to speak with the spark…

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Loading data in Kaggle using the R Kernel

Im new to Kaggle and hoping someone who is more experienced can help. Im attempting to run the code below in Kaggle; dec_2020<- read_csv(“..input/divvy-trip-data/202012-divvy-tripdata.csv”) I’ve added the biking sharing dataset “divvy-trip-data” to my notebook and I’m trying to access the csv file “202012-divvy-tripdata.csv” which is a file in that dataset….

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make Pyspark working inside jupyterhub

You need to configure the pyspark kernel. On my server jupyter kernels are located at: /usr/local/share/jupyter/kernels/ You can create a new kernel by making a new directory: mkdir /usr/local/share/jupyter/kernels/pyspark Then create the kernel.json file – I paste my as a reference: { “display_name”: “pySpark (Spark 1.6.0)”, “language”: “python”, “argv”: […

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Switch to regmap for mmio access

[PATCH] pwm: pwm-mtk-disp: Switch to regmap for mmio access * [PATCH] pwm: pwm-mtk-disp: Switch to regmap for mmio access @ 2022-01-03 15:35 AngeloGioacchino Del Regno 0 siblings, 0 replies; only message in thread From: AngeloGioacchino Del Regno @ 2022-01-03 15:35 UTC (permalink / raw) To: thierry.reding Cc: u.kleine-koenig, lee.jones, matthias.bgg,…

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[Buildroot] [PATCH 1/2] package/mbedtls3: new package

[Buildroot] [PATCH 1/2] package/mbedtls3: new package * [Buildroot] [PATCH 1/2] package/mbedtls3: new package @ 2021-12-28 15:33 Fabrice Fontaine 2021-12-28 15:33 ` [Buildroot] [PATCH 2/2] package/hiawatha: needs mbedtls3 Fabrice Fontaine 2021-12-28 15:49 ` [Buildroot] [PATCH 1/2] package/mbedtls3: new package Thomas Petazzoni 0 siblings, 2 replies; 5+ messages in thread From: Fabrice…

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GitHub – AI-sandbox/gnomix

This repository includes a python implemenation of Gnomix, a fast and accurate local ancestry method. Gnomix can be used in two ways: training a model from scratch using reference training data or loading a pre-trained Gnomix model (see Pre-Trained Models below) In both cases the models are used to infer…

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Gromacs Contact Map | Contact Information Finder

Listing Results Gromacs Contact Map Contact maps using Gromacs ResearchGate Just Now Researchgate.net View All Contact maps using Gromacs ? I used gmx mdmat in gromacs to create contact maps, but it seems that the mdmat gives the minimum average distance rather than the average centre-of-mass distance. Estimated Reading Time:…

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k-smoothing data in R

k-smoothing data in R 0 I have a data in which I have applied k-smooth function. Everything is fine but I want these two figures combined. I see there is a different in y-axis scales. Is there a way to combine these two? Or maybe plot one over the other….

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alphafold colab github

for the third time worked! Found inside – Page iiThe eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. Please make sure you have a large enough hard drive space, bandwidth…

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87885890

%PDF-1.4 % 1 0 obj > endobj 5 0 obj >stream 2021-09-15T23:59:23-07:00 2021-09-15T09:20:35-07:00 2021-09-15T23:59:23-07:00 Appligent AppendPDF Pro 5.5 uuid:95810202-b239-11b2-0a00-782dad000000 uuid:cfca0722-1dd1-11b2-0a00-d30068a2a7ff application/pdf 87885890 caroline Trumpff macOS Version 10.15.7 (Build 19H2) Quartz PDFContext AppendPDF Pro 5.5 Linux Kernel 2.6 64bit Oct 2 2014 Library 10.1.0 endstream endobj 2 0 obj > endobj 3…

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Word Embeddings with BERT – Kaggle Nlp Real or Not text classification competition Part 2, 11.4 MB, 08:18

Your browser does not support the audio element Download lagu Word Embeddings with BERT – Kaggle Nlp Real or Not text classification competition Part 2 MP3 dapat kamu download secara gratis di Free MP3 & Lyrics Download. Details lagu Word Embeddings with BERT – Kaggle Nlp Real or Not text…

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Downloading Files In Kaggle Gives

What if the grid variables in the source dataset DON’T share the same axis variables? Projected Gridded Data; Data Types; Media Files; AWS S3 Files; NcML; NCO. We use cookies on Kaggle to deliver our services analyze web traffic and improve your experience on the site. By using Kaggle you…

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GATK CalculateContamination – zeros in output

GATK CalculateContamination – zeros in output 2 Hi, I am new to exome-seq and would be grateful for any suggestions 🙂 I want to run GATK CalculateContamination (GATK 4.1.8.1), before calling variants with MuTect2. CalculateContamination tool returns “SUCCESS” message, but with warnings, and I get only “0” values in my…

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More than one archive specified. Try –help.

Package: routine-update Version: 0.0.6 Severity: important Hi Andreas, when working on making sure the python-biopython watch file was appropriately fixed, I saw routine-update choke with the following error: $ routine-update gbp:info: Fetching from default remote for each branch gbp:info: Branch ‘master’ is already up to date. gbp:info: Branch ‘pristine-tar’ is already up to date. gbp:info: Branch…

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What is the difference between the kernels of kaggle and googlecolab?

I fell in love with machine learning, the sun.I have one question.Why is it that I can run it in kaggle’s kernel, but not in googlecolab?I don’t know how to make it work.Please help me. kaggle.com G2Net / efficientnet_b7 / baseline [training] Explore and run machine learning code with Kaggle…

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Kaggle Lyft Motion Prediction for Autonomous Vehicles 4th place solution

Lyft Motion Prediction for Autonomous Vehicles Code for the 4th place solution of Lyft Motion Prediction for Autonomous Vehicles on Kaggle. Directory structure input — Please locate data here src |-ensemble — For 4. Ensemble scripts |-lib — Library codes |-modeling — For 1. training, 2. prediction and 3. evaluation…

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