lapl | Cozy familiar scripting language written in C

 by   Lartu C++ Version: Current License: Apache-2.0

kandi X-RAY | lapl Summary

kandi X-RAY | lapl Summary

lapl is a C++ library. lapl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Everything else is included in the box. Clone this repository, go into the cloned folder and run make.
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            kandi-support Support

              lapl has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lapl is current.

            kandi-Quality Quality

              lapl has no bugs reported.

            kandi-Security Security

              lapl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              lapl is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lapl releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            lapl Key Features

            No Key Features are available at this moment for lapl.

            lapl Examples and Code Snippets

            No Code Snippets are available at this moment for lapl.

            Community Discussions

            QUESTION

            Error loading model weights from .hdf5 in Keras
            Asked 2021-Jan-10 at 17:48

            I'm trying to load model weights from an hdf5 file to evaluate on my test set. When I try and load the weights, I get the following error:

            "Unable to open object (file read failed: time = Sat Jan 9 18:02:20 2021\n, filename = '/content/drive/My Drive/Training Checkpoints/training_vgg16/Augmented/01-1.6986_preprocessed_unfrozen.hdf5', file descriptor = 203, errno = 5, error message = 'Input/output error', buf = 0x2d4ae840, total read size = 328, bytes this sub-read = 328, bytes actually read = 18446744073709551615, offset = 134448512)"

            And the code I'm using is below:

            ...

            ANSWER

            Answered 2021-Jan-10 at 17:48

            Turns out, although using load_weights worked before, I was actually saving the entire model, and for some of the saved .hdf5 files it didn't work. Changing to using load_model loads all of them correctly.

            Source https://stackoverflow.com/questions/65646104

            QUESTION

            Getting the RuntimeError: Unable to create link (name already exists) with a multi-input Keras model
            Asked 2020-Dec-02 at 10:43

            I'm unable to save a Keras model as I get the error mentioned in the title. I have been using tensorflow-gpu. My model consists of 4 inputs each is a ResNet50. When I use only a single input the call back below worked perfectly, but with the multi inputs I'm getting the following error:

            RuntimeError: Unable to create link (name already exists)

            ...

            ANSWER

            Answered 2020-Oct-01 at 13:10
            1. Try with CUDA 10.1. https://www.tensorflow.org/install/gpu says "TensorFlow supports CUDA® 10.1"

            2. Something is wrong with ModelCheckpoint callback. Check checkpoint_path location Is it writeable? Also the reference says "if save_best_only=True, the latest best model according to the quantity monitored will not be overwritten." So you may want to delete the last saver model or provide new unique name in checkpoint_path every time you run model. Most likely it prevents overwriting the previous model and throws error.

            Source https://stackoverflow.com/questions/64118599

            QUESTION

            How to get the compressed representation generated by the autoencoder?
            Asked 2020-Aug-18 at 08:26

            I'm making a deep multimodal autoencoder which takes two inputs and produces a two outputs (which are the reconstructed inputs). The two inputs are with shape of (1000, 50) and (1000,60) respectively and the model has 3 hidden layers and aim to concatenate the two latent layer of input1 and input2.

            here is the complete code of the model :

            ...

            ANSWER

            Answered 2020-Aug-17 at 12:49

            I assume that X[0].shape[0] and X1[0].shape[0] are equal and since it is a dense layer it should be 4000. You have already managed to get to the training phase, but better I say that return value of Model.fit is a history object of achieved losses during training. Your object named model is then actually not a model.

            To predict values with this trained model, you need to call Model.predict(), in your case should look like:

            Source https://stackoverflow.com/questions/63449966

            QUESTION

            RuntimeError: Unable to create link (name already exists) Keras
            Asked 2020-Jun-03 at 16:50

            When I save my model I get the following error:

            ...

            ANSWER

            Answered 2020-Jun-03 at 16:50

            I think the problem is that both of your weight variables have internally the same name, which should not happen, you can give them names with the name parameter to add_weight:

            Source https://stackoverflow.com/questions/62169315

            QUESTION

            Recover data from corrupted file
            Asked 2020-Apr-13 at 09:36

            I have a HDF5 file that for some reason got corrupted. I am trying to retrieve the portion of the file that is essentially fine. I can read all datasets from the groups that do not contain a corrupted field just fine. But I cannot read any of the not-corrupted datasets from a group that has also a corrupted dataset.

            The funny thing is however that I can easily read those datasets using HDFView. I.e. I can open them, and find all numerical values. Using HDFView I can only not read the corrupted dataset.

            My question is how can I exploit this, and retrieve as much data as I can?

            When reading with h5py:

            ...

            ANSWER

            Answered 2020-Apr-13 at 09:36

            I have found a neat way to recover all top-level groups which do not contain broken nodes. Can simply be extended to lower level groups by recursive calling.

            Source https://stackoverflow.com/questions/47979751

            QUESTION

            Trying to pass texture from framebuffer results in L_INVALID_OPERATION : glDrawArrays: Source and destination textures of the draw are the same
            Asked 2019-Nov-01 at 21:15

            I'm new to vanilla WebGL and trying to utilize framebuffers for post processing/advanced shaders. When I run my code I get the warning:

            GL_INVALID_OPERATION : glDrawArrays: Source and destination textures of the draw are the same.

            Here's my code so far. If anyone could point me to the right direction how to correctly utilize framebuffers to pass textures to the next pass. It's wrapped in a vue.js component but that shouldn't matter.

            ...

            ANSWER

            Answered 2019-Oct-26 at 02:28

            The issue is exactly as stated in the error.

            Source and destination textures of the draw are the same.

            Looking at your code there is one shader, it references a texture, there is one texture, it's attached to the framebuffer AND it's bound to texture unit 0 the default. So, when you draw it's being used as both an input (u_texture) and as the output (the current framebuffer). That's not allowed.

            The simple solution is you need another texture. Bind that texture when drawing to the framebuffer.

            The better solution is you need 2 different shader programs. One for when drawing to the framebuffer that uses no texture as input and another for drawing to the canvas . As it is you have one shader that branches on u_frame. Remove that branch and separate things into 2 shader programs. The one that computes colors then u_frame < 300 and the one that use a texture. Use the computing one to draw to the framebuffer and the texture one to draw the framebuffer's texture to the canvas.

            A few links that may or may not be helpful: drawing multiple things, render targets, image processing.

            Source https://stackoverflow.com/questions/58566209

            QUESTION

            keras copying VGG16 pretrained weights layer by layer
            Asked 2019-Sep-10 at 17:39

            I want to copy some of the VGG16 layer weights layer by layer to another small network with alike layers, but I get an error that says:

            ...

            ANSWER

            Answered 2019-Sep-10 at 17:39

            Take the VGG16 model directly:

            Source https://stackoverflow.com/questions/57874617

            QUESTION

            Getting different results reading from Firebase between iOS simulator and real device
            Asked 2018-Dec-10 at 12:50

            I've met a real problem that I can't understand why it's happens. I'm too beginner to find the problem.

            I've got this code :

            ...

            ANSWER

            Answered 2018-Dec-10 at 12:50

            Since you are parsing a string, make sure that your dateFormatter can parse it with the used loale. F.e. "20/01/1990" would not parse with an "en_US" locale while "01/20/1990" would not parse f.e. with an "es_ES" locale.

            To make sure, you could set the format yourself:

            Source https://stackoverflow.com/questions/53671454

            QUESTION

            Creating and accessing datasets in an HDF5 file
            Asked 2018-Sep-17 at 12:21

            I am trying to create an HDF5 file with two datasets, 'data' and 'label'. When I tried to access the said file, however, I got an error as follows:

            ...

            ANSWER

            Answered 2018-Sep-17 at 12:21

            I was unable to reproduce the error. Maybe you forgot to close the file or you change the content of your h5 during execution.

            Also you can use print h5_file.items() to check the content of your h5 file

            Tested code:

            Source https://stackoverflow.com/questions/52077344

            QUESTION

            How to properly open, read from and save to a single file in python 3 using H5py
            Asked 2017-Oct-09 at 16:40

            I am new to python and programming in gerneral and am probably making horrible mistakes. Thank you for any help. I want to to initialize a member of my class by loading either some hdf5 data prepared by someone else or by loading my own hdf5 files. I tried this:

            ...

            ANSWER

            Answered 2017-Oct-09 at 16:40

            You aren't allowed to create a dataset twice:

            Source https://stackoverflow.com/questions/46643026

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install lapl

            You can download it from GitHub.

            Support

            There are many ways to contribute to the LAPL project. You can add new features, fix bugs, submit issues, write examples, write software in LAPL, write LAPL libraries, etc. At this point, everything is welcome! Even telling your friends about LAPL is a very useful contribution. A list of wanted features can be found at the bottom of lapl.g4, but something is not on that list it doesn't mean we don't want it!. If you want to talk to the rest of us, you can find the LAPL community via IRC on irc.freenode.net, channel #lapl. Also on Telegram via the lapllang group. The IRC and Telegram channels are bridged. You are welcome to open new LAPL channels anywhere else if you like.
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