flatbuffers | FlatBuffers : Memory Efficient Serialization Library | Serialization library
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FlatBuffers: Memory Efficient Serialization Library
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of flatbuffers
flatbuffers Key Features
flatbuffers Examples and Code Snippets
struct Vec2;
namespace flatbuffers {
Vec2 Pack(const vector2& obj);
vector2 UnPack(const Vec2& obj);
}
option(FLATBUFFERS_BUILD_SHAREDLIB
"Enable the build of the flatbuffers shared library"
OFF)
cmake .. -G "Visual Studio 16 2019" -DFLATBUFFERS_BUILD_SHAREDLIB=ON
cmake -LH
class ModelInfo {
// This is the model we want to expose to our upper layers (View Models, Blocs etc)
}
abstract class ApiDataManager {
List fetchItems();
}
class jsonApi implements
Community Discussions
Trending Discussions on flatbuffers
QUESTION
I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.
- I first tested the app by running
python setup.py py2app -A
in the terminal and the dist and build folder are successfully created and the app works when launched. - Now when I try to build it non-locally by running the command
python setup.py py2app
in the terminal, there are various "WARNING: ImportERROR" messages while building and finally aerror: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
error.
How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
*I Left out a lot of the "skipping" and "warning" lines using "..." for space
ANSWER
Answered 2022-Mar-13 at 16:13The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.
The fix:
- Open the terminal and type the command
type -a python
.
- You will see similar lines
QUESTION
Here is my schema:
...ANSWER
Answered 2022-Mar-05 at 17:29If you get an assert, it is always good to check the assert code, it may give you a hint as to why:
QUESTION
Background
I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results
Result at Google Colab
Result at Jupyter
I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:
...ANSWER
Answered 2022-Feb-28 at 22:25After a few days I was able to find the solution
Firstly, my code needed to be fixed to correctly call the params needed with the proper name
QUESTION
This builds off of the monster schema example. If I partially fill a flatbuffer such as in the official test.cpp.
Relevant lines also copied below
...ANSWER
Answered 2022-Feb-28 at 16:20Disclaimer: Flatbuffers doesn't generally allow mutating a vector after the buffer has been finished. However, we do have some advanced APIs in the reflection API for doing such mutations, but are generally slow and not recommended.
We don't support the case of resizing a null
vector. We store null
within the vtable and there is no data/size information in the buffer related to a null
vector. Therefore there is nothing to resize.
You may try inserting a empty vector instead, as that should place the necessary data/size information into the buffer that can be later resized.
QUESTION
In my application config i have defined the following properties:
...ANSWER
Answered 2022-Feb-16 at 13:12Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location
Can you try to save the properties without the spaces.
Like this:
logging.file.name=application.logs
QUESTION
It was a project that used to work well in the past, but after updating, the following errors appear.
...ANSWER
Answered 2021-Sep-17 at 11:03Add mavenCentral() in Build Script
QUESTION
I got this error
AttributeError: module 'TensorFlow' has no attribute 'variable_scope'
when I ran my code and I'm searching in Google for this. They said it required TensorFlow lower than 2.0. Then I started to install it with this code in cmd pip install tensorflow==1.15
then I got another error
ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.8.0rc0, 2.8.0rc1, 2.8.0) ERROR: No matching distribution found for tensorflow==1.15
I tried a lot of ways on the internet to find a way to solve it! My information Tensorflow and computer
Name: tensorflow Version: 2.8.0 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: packages@tensorflow.org License: Apache 2.0 Location: c:\users\admin\appdata\roaming\python\python39\site-packages Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, keras-preprocessing, libclang, numpy, opt-einsum, protobuf, setuptools, six, tensorboard, tensorflow-io-gcs-filesystem, termcolor, tf-estimator-nightly, typing-extensions, wrapt
Python 3.9.7
Computer information:
Intel(R) Core(TM) i7-8750H CPU Processor @ 2.20 GHz 2.21 GHz Installed RAM 16.0 GB (15.9 GB usable) Device ID 26A28871-033A-43F4-9933-B82BE00E75C3 Product ID 00330-80000-00000-AA214 System type 64 bit Operating system, processor based on x64 Pen and apps No pen or touchpad for this monitor
Thank you for your help 🥰🥰
...ANSWER
Answered 2022-Feb-09 at 09:43You probably have CUDA11 install on your system. Tensorflow 1.X can't run on CUDA 11 unless you use Docker and Nvidia Container Toolkit.
I recommend you to use a Docker container provided by Tensorflow with the required version.
QUESTION
I cannot find a way to pip install the following Python modules without compatibility issues (from a requirements.txt file, on Red Hat Enterprise Linux release 8.2):
...ANSWER
Answered 2022-Feb-09 at 08:11The problem was caused by jupyter/tensorflow being loaded in the background. The following solved the issue:
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.
Logs:
...ANSWER
Answered 2022-Feb-05 at 22:37The error says MemoryError
. You must upgrade your ec2 instance to something with more memory. tensorflow
is very memory hungry application.
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