Can someone please help me install rasa on my m1.
I can install everything but once I want to train it (rasa train) it shows me the error: illegal hardware instruction
thank you
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I bought an M1 Silicon with Monterey back in January and --- after a three+ month pause -- am trying again to get Rcpp running so I can install RStan. Following these instructions in response to (I'd like to just comment on this other issue, but being new to posting on Stack Overflow it tells me that I cannot and what I am about to post is certainly NOT an answer):
Configuring compilers on Mac M1 (Big Sur, Monterey) for Rcpp and other tools
While step 3 (installing gfortran) looks to go well, when I ask about gfortran things seem less hopeful:
-bash: gfortran: command not found
Or maybe this is not how to ask if all went well with the installation?
No matter, I charge on to step 4 installing from openmp-13.0.0-darwin21-Release.tar.gz based on:
Apple clang version 13.1.6 (clang-1316.0.21.2.3)
Target: arm64-apple-darwin21.4.0
Thread model: posix
InstalledDir: /Library/Developer/CommandLineTools/usr/bin
I confirm that I have the files where expected, then create the .R directory and the Makevars file (in nano) then try to run the R and get ....
+ #endif
+ }
+ ')
/Users/lizzie/.R/Makevars:6: *** missing separator. Stop.
Error in Rcpp::sourceCpp(code = "\n#include <RcppArmadillo.h>\n#ifdef _OPENMP\n# include <omp.h>\n#endif\n\n// [[Rcpp::depends(RcppArmadillo)]]\n// [[Rcpp::export]]\nvoid omp_test()\n{\n#ifdef _OPENMP\n Rprintf(\"OpenMP threads available: %d\\n\", omp_get_max_threads());\n#else\n Rprintf(\"OpenMP not supported\\n\");\n#endif\n}\n") :
Error 1 occurred building shared library.
WARNING: The tools required to build C++ code for R were not found.
Please install Command Line Tools for XCode (or equivalent).
Any thoughts or ideas much appreciated. Again, I am new to posting to StackOverflow so apologize as I am sure I am doing this wrong.
Please I am trying to run mlflow code in R after having installed it. However, after loading the library with library(mlflow) and I run mlflow_log_params("foo",42) I get the error message below printed in my console:
Error in rethrow_call(c_processx_exec, command, c(command, args), pty, :
Command 'C:/Users/IFEANYI/AppData/Local/r-miniconda/envs/r-mlflow-1.19.0/mlflow' not found #win/processx.c:982 (processx_exec)
I also get the same error message when I run mlflow_ui(). Please was there something I ought to have done during installation failure of which is affecting its functionality? Do I need to install and load the processx library in order for mlflow to run on my Windows10 machine? I really hope I can get advice to help me because I want to use mlflow in my machine learning projects. Thanks in advance of your generous help.
The error should disappear when setting MLFLOW_BIN system variable (Windows) to mlflow cli executable : "....conda\envs\r-mlflow-1.24.0\Scripts\mlflow.exe".
If it works please mark the problem as resolved.
Unfortunately, you will get next error "Error in wait_for(function() mlflow_rest("experiments", "list", client = client)" for which I cannot find the solution
While trying to train a lenet model for multiclass classification using h2o deepwater using mxnet backed I am getting the following errors:
Loading H2O mxnet bindings.
Found CUDA_HOME or CUDA_PATH environment variable, trying to connect to GPU devices.
Loading CUDA library.
Loading mxnet library.
Loading H2O mxnet bindings.
Done loading H2O mxnet bindings.
Constructing model.
Done constructing model.
Building network.
mxnet data input shape: (32,100)
[10:40:16] /home/jenkins/slave_dir_from_mr-0xb1/workspace/deepwater-master/thirdparty/mxnet/dmlc-core/include/dmlc/logging.h:235: [10:40:16] src/operator/./convolution-inl.h:349: Check failed: (dshape.ndim()) == (4) Input data should be 4D in batch-num_filter-y-x
[10:40:16] src/symbol.cxx:189: Check failed: (MXSymbolInferShape(GetHandle(), keys.size(), keys.data(), arg_ind_ptr.data(), arg_shape_data.data(), &in_shape_size, &in_shape_ndim, &in_shape_data, &out_shape_size, &out_shape_ndim, &out_shape_data, &aux_shape_size, &aux_shape_ndim, &aux_shape_data, &complete)) == (0)
The details of my setup :
* Ubuntu : 16.04
* Ram : 12gb
* Graphics card : Nvidia 920mx driver version : 384.90
* Cuda : 8.0.61
* cudnn : 6.0
* R version : 3.4.3
* H2o version : 3.15.0.393 & h2o-R package : 3.16.0.2
* mxnet : 0.11.0
* Train data size : 400mb (when converting to the h2o frame object it comes around 822mb)
Things I have done :
1.) Gave enough memory to java heap while running h2o cluster (java -Xmx9g -jar h2o.jar)
2.) Build the mxnet from source for gpu
3.) Monitored the gpu and system via nvidia-smi and system monitor. At no point do they eat up all the ram to show "out of memory" issue. I still will be having around 2-3gb free before the error shows up
4.) Have tried with tensorflow-gpu(build from source). Checking the pip list made sure that its installed but during model creation in R it gives the error :
Error: java.lang.RuntimeException: Unable to initialize the native Deep Learning backend: null
5.) The only method I got it the h2o deepwater to work with all the backend and w/wo GPU is through docker setup provided in the installation tutorials.
I wanted the same functionality on my laptop instead of using Docker. Also is there any way to run deepwater using just CPU? The link Is it possible to build Deep Water/TensorFlow model in H2O without CUDA doesn't provide any helpful answers. Any help or advice will be greatly appreciated!
As evident from the error logs and from documentation of mxnet.sym.Convolution your data needs to be in [batch, channels, height, width] format. However it looks like your data contains only two dimensions (based on this log: mxnet data input shape: (32,100)). Reformatting the data, even including two dimensions of size 1 such that your input shape is (1,1,32,100) should resolve this issue.
I have tried running the Openmdao paraboloid tutorial as well as benchmarks and I consistently receive the same error which reads as following:
[0]PETSC ERROR: ------------------------------------------------------------------------
[0]PETSC ERROR: Caught signal number 11 SEGV: Segmentation Violation, probably memory access out of range
[0]PETSC ERROR: Try option -start_in_debugger or -on_error_attach_debugger
[0]PETSC ERROR: or see http://www.mcs.anl.gov/petsc/documentation/faq.html#valgrind
[0]PETSC ERROR: or try http://valgrind.org on GNU/linux and Apple Mac OS X to find memory corruption errors
[0]PETSC ERROR: configure using --with-debugging=yes, recompile, link, and run
[0]PETSC ERROR: to get more information on the crash
---------------------------------------------------------------------
MPI_abort was invoked on rank 0 in communicator MPI_COMM_WORLD with errorcode 59.
NOTE: invoking MPI_ABORT causes MPI to kill all MPI processes.
you may or may not see output from other processes, depending on exactly when Open MPI kills them.
I don't understand why this error is occurring and what I can do to be able to run OpenMDAO without getting this error. Can you please help me with this?
Something has not gone well with your PETSc install. Its hard to debug that from afar though. It could be in your MPI install, or your PETSc install, or your petsc4py install. I suggest not install PETSc or PETSc4Py through pip though. I've had mixed success with that. Both can be installed from source without tremendous difficulty.
However, to run the tutorials you don't need to have PETSc installed. You could remove those packages and the tutorials will run correctly in serial for you
I've been trying to produce Kernel Density Estimates using the "kde" tool from
Geospatial Modeling Environment (GME, see documentation on kde). But I keep getting the following error regardless of valid input:
Code:
kde(in="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!BB_90sJAN",
out="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!KDE_BB90sJAN",
bandwidth="100000", cellsize=6000, kernel="QUARTIC",
ext="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!rect_extent");
Error message:
Error: The command text could not be interpreted. Please check the syntax of the command. Error: An important error has occurred. Please include the information below if you submit a query about this error.
Exception from HRESULT: 0x8004025A
The most frustrating part is that I had this exact code working last week. I tried restarting, reinstalling GME, copying the input to a new GDB as suggested here, subprocesses with PYTHON 2.7. Everything still produces this error with the same HRESULT.
I'm running GME Version 0.7.3.0, ArcGIS For Desktop 10.2.2, R Version 3.1.1, and Python 2.7 on Windows 7. There's not much community support for GME, so any help here would be much appreciated.