similar to: Neuralnet Error

Dear all, I have a variable that I would like also to use it as a string. The reasons is that I want to collect results from different function to one table.. So when I use the  colnames(mymatrix) <-c(function1.function2,function3) the function1, function2, function3 to be "converted" to simple strings so as  colnames(mymatrix)

On Sep 7, 2010, at 3:01 AM, Carlos Sanchez de La Lama wrote: > The machine I am targeting has some special requirements for some > operations, say: > > ADD or1, ir1, r5 > > would add ir1 (input reg 1) and r5 and put the result in or1 (output reg > 1). The point id that input and output regs have to go paired (this > meaning an addition of ir1 with whatever always goes to

Hi all, The machine I am targeting has some special requirements for some operations, say: ADD or1, ir1, r5 would add ir1 (input reg 1) and r5 and put the result in or1 (output reg 1). The point id that input and output regs have to go paired (this meaning an addition of ir1 with whatever always goes to or1, or an in general irX + whatever goes to orX). AFAIK, InstrInfo.td only allow

Hi Carlos, Jakob, The PBQP allocator was designed to support a very wide range of constraints, and can handle something like this easily. Say you have 4 of these orX/irX registers, then for any pair of virtual registers used in such an add instruction you would add the following constraint matrix to the PBQP instance: [ 0 inf inf inf ] [ inf 0 inf inf ] [ inf inf 0 inf ] [ inf inf inf 0

I'm confused, hope someone can point out what is not obvious to me. I thought I was creating a new data frame by 'deleting' rows from an existing dataframe - I've tried 2 methods. But this new data frame seems to remember values from its parent - even though there are no occurences. Where does it get the values versicolor and virginica from and give then a count of 0? What

Hello, I'm trying to pull data from a network drive on a windows machine. The location is read into a string <rem> and then used later with a data input command. > rem<- "\\192.192.192.3\Shared\iris1.csv" Warning messages: 1: '\S' is an unrecognized escape in a character string 2: '\i' is an unrecognized escape in a character string 3: unrecognized

>> What needs to be done (on a high level) in order to have the auto vectorizer succeed on the test function as given erlier? > Maybe you could rewrite the loop in a way that will expose contiguous memory accesses. Is this something you could do ? > Hi Nadav, the only option I see is to unroll the loop by hand. Since the array access is consecutive over 4 loop iterations I gave it a

On Oct 30, 2013, at 6:10 PM, Frank Winter <fwinter at jlab.org> wrote: > the only option I see is to unroll the loop by hand. Since the array access is consecutive over 4 loop iterations I gave it a try and unrolled the loop by a factor of 4. Which gives the following array accesses: > > loop iter 0: > index_0 = 0 index_1 = 4 > index_0 = 1 index_1 = 5 > index_0 = 2

Hi Frank, > We are looking at a variety of target architectures. Ultimately we aim to run on BG/Q and Intel Xeon Phi (native). However, running on those architectures with the LLVM technology is planned in some future. As a first step we would target vanilla x86 with SSE/AVX 128/256 as a proof-of-concept. Great! It should be easy to support these targets. When you said wide-vectors I assumed

Estimados Tengo un problema, R se cuelga (cierra, aborta, etc.) al usar códigos de neuralnet. Copio un ejemplo cualquiera para preguntar si a otros les pasa lo mismo o es un problema puntual en mi computadora (uso R revolution win 10). # install, load package install.packages(NeuralNetTools) library(NeuralNetTools) # create model library(neuralnet) AND <- c(rep(0, 7), 1) OR <- c(0, rep(1,

Muchas gracias Instale R desde CRAN y ejecutar version en R y R revolution, informa lo mismo, pero en el segundo neuralnet se cuelga, paso una captura de pantalla (Rstudio bajo r revolution también tiene problemas, no con R desde CRAN). Javier Rubén Marcuzzi Técnico en Industrias Lácteas Veterinario De: juan(uned) Enviado: martes, 3 de noviembre de 2015 12:48 Para: r-help-es en

Hello my friends We are having seriously problems with our asterisk server, our versions are as follows: WANPIPE Release: 3.4.7 Asterisk 1.4.21.2 Zaptel Version: 1.4.11 libpri version: 1.4.10.2 The symptoms are very weird, the CLI stop working suddenly, a core show channels shows MANY channels FREEZED, the incoming and outgoing calls stop working, the internal calls stop working, in resume we

Hola a todos, en primer lugar quería agradecer la ayuda recibida desde el foro con respecto a la creación de una red neuronal. Estoy utilizando el paquete Neuralnet, que me parece que es bastante bueno, pero tengo el problema que soy incapaz de hacer las predicciones del modelo. Sé que se hace con el comando "compute", pero no encuentro ningún ejemplo de cómo hacerlo. ¿Alguien me puede

Hi I would like to know how I can change the name of a model for each trainning cycle of a model. I work with the RSNNS package and to build a neural network, I used : for (i in 5:30) .... model_ANN <- mlp(X, Y, size=n,....) # where size is the number of neurons in the hidden layer but I need to save each time that the model that is build (the end of each cycle), e.g., when i = 5, I need to

Hello List ! I'm a bright new R user, and I encounter a problem when trying to use the neuralnet package. I have a training set with 8 inputs, and there are 3 outputs (I need 3 distinct neurones as output). Although I read the examples, and the package article, I don't know how to tell R there are 3 outputs (3 outputs neurones). Here is my actual code : # All = input data All <-

The debug messages are misleading. They should read “trying to vectorize a list of …”; The problem is that the SCEV analysis is unable to detect that C[ir0] and C[ir1] are consecutive. Is this loop from an important benchmark ? Thanks, Nadav On Oct 30, 2013, at 11:13 AM, Frank Winter <fwinter at jlab.org> wrote: > The SLP vectorizer apparently did something in the prologue of the

On 03/03/2014 10:55, Martin Kletzander wrote: > On Mon, Mar 03, 2014 at 10:47:03AM +0000, Struan Bartlett wrote: >> On 03/03/2014 10:44, Martin Kletzander wrote: >>> On Mon, Mar 03, 2014 at 10:30:11AM +0000, Struan Bartlett wrote: >>>> Hi Martin >>>> >>>> Thanks for your response. Here's the output of that grep: >>>>

On 03/03/2014 13:42, Martin Kletzander wrote: > On Mon, Mar 03, 2014 at 11:15:51AM +0000, Struan Bartlett wrote: >> On 03/03/2014 10:55, Martin Kletzander wrote: >>> On Mon, Mar 03, 2014 at 10:47:03AM +0000, Struan Bartlett wrote: >>>> On 03/03/2014 10:44, Martin Kletzander wrote: >>>>> On Mon, Mar 03, 2014 at 10:30:11AM +0000, Struan Bartlett wrote:

The loop vectorizer seems to be not able to vectorize the following code: void bar(std::uint64_t start, std::uint64_t end, float * __restrict__ c, float * __restrict__ a, float * __restrict__ b) { const std::uint64_t inner = 4; for (std::uint64_t i = start ; i < end ; ++i ) { const std::uint64_t ir0 = ( (i/inner) * 2 + 0 ) * inner + i%4; const std::uint64_t ir1 = ( (i/inner)

----- Original Message ----- > > > I ran the BB vectorizer as I guess this is the SLP vectorizer. No, while the BB vectorizer is doing a form of SLP vectorization, there is a separate SLP vectorization pass which uses a different algorithm. You can pass -vectorize-slp to opt. -Hal > > BBV: using target information > BBV: fusing loop #1 for for.body in _Z3barmmPfS_S_...