tinyflow | simple deep learning framework | GPU library

by LB-Yu Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | tinyflow Summary

tinyflow is a Python library typically used in Hardware, GPU, Deep Learning, Pytorch, Tensorflow, Numpy applications. tinyflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tinyflow build file is not available. You can download it from GitHub.

python/dlsys/autodiff.py: Implements computation graph, autodiff, GPU/Numpy Executor. python/dlsys/gpu_op.py: Exposes Python function to call GPU kernels via ctypes. python/dlsys/ndarray.py: Exposes Python GPU array API. src/dlarray.h: header for GPU array. src/c_runtime_api.h: C API header for GPU array and GPU kernels. src/gpu_op.cu: cuda implementation of kernels.

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Support

tinyflow has a low active ecosystem.

It has 18 star(s) with 11 fork(s). There are 1 watchers for this library.

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 tinyflow is current.

Quality

tinyflow has no bugs reported.

Security

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

License

tinyflow is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tinyflow releases are not available. You will need to build from source code and install.

tinyflow has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed tinyflow and discovered the below as its top functions. This is intended to give you an instant insight into tinyflow implemented functionality, and help decide if they suit your requirements.

Runs each node in feed_dict .
Calculate the gradients of a given node .
Compute the broadcast rule between two shapes .
Copy from source_array to source_array .
Allocates a new NDArray .
Create an array from a NumPy array .
Create a C array .
Find the topo sort of nodes .
Returns the gradient of the given node .
Check that the return value is 0

Get all kandi verified functions for this library.

tinyflow Key Features

No Key Features are available at this moment for tinyflow.

tinyflow Examples and Code Snippets

No Code Snippets are available at this moment for tinyflow.

Community Discussions

Trending Discussions on tinyflow

input value does not change after keypress event

proxy does not interecept object

QUESTION

input value does not change after keypress event

Asked 2020-Jul-15 at 13:17

I am building/experimenting with building my own small framework.

Well in the end I pass the element's value to the keypress method and it works but with the problem that I always have my initial value of test.

So why isn't console.log showing me my updated text?

...

ANSWER

Answered 2020-Jul-14 at 06:08

This can be done only capturing event while listening keypress event. When you listen event will get latest updated value. In your code your are not capturing event due to reason not getting updated value of target element.

Source https://stackoverflow.com/questions/62888856

QUESTION

proxy does not interecept object

Asked 2020-Jul-10 at 13:26

I have this following problem here:

I try to create a mini framework for learning / experimenting purposes. I have this markup

...

ANSWER

Answered 2020-Jul-10 at 13:26

You set this.passedProps to the Proxy, while you access the properties directly with this.age. If you want it to go through the proxy, then access the properties through this.passedProps.age and this.passedProps.age++.

Source https://stackoverflow.com/questions/62835106

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

Vulnerabilities

No vulnerabilities reported

Install tinyflow

Tinyflow currently only supports running in 64-bit linux environment. Requirement:. Download the source code. Generally speaking, CUDA will be installed in /use/local/cuda. If your installation path is different, please modify the CUDA_DIR variable on the first line of the Makefile to your installation path, or modify the CUDA_DIR variable on the fourth line of CMakeLists.txt to your installation path. For compiling with Makefile. For compiling with CMake.
gcc >= 4.8;
cmake >= 3.13 (if you choose to use cmake);
CUDA 9.0
python 3

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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