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Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch.org
Summary: This diff is the first step in the effort for refactoring all parameters. As a first step - I'm merging concept of params and computed_params, that is going to be based on tags instead (in the first version it's still using old data structs to store all the BlobReferences). Renaming computed_params to non-trainable/non-backprop params should be done is some other diff. Reviewed By: salexspb Differential Revision: D5171159 fbshipit-source-id: 68031ca779f053fb266a7c4a2e5b482a3bd9c832 |
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| caffe2 | ||
| cmake | ||
| docs | ||
| scripts | ||
| third_party | ||
| .Doxyfile | ||
| .Doxyfile-c | ||
| .Doxyfile-python | ||
| .gitignore | ||
| .gitmodules | ||
| .travis.yml | ||
| appveyor.yml | ||
| CMakeLists.txt | ||
| LICENSE | ||
| Makefile | ||
| PATENTS | ||
| README.md | ||
| release-notes.md | ||
Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Events
Caffe2 Bay Area Meetup at NVIDIA, May 31 6-8:30, Santa Clara, CA: https://www.meetup.com/Caffe2-Bay-Area/events/239836290/
User Groups
Caffe2 Community Facebook Group: join to ask questions, talk to other users, and keep informed of important Caffe2 updates.
Questions and Feedback
Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
Please participate in our survey (https://www.surveymonkey.com/r/caffe2). We will send you information about new releases and special developer events/webinars.
License and Citation
Caffe2 is released under the BSD 2-Clause license.
Build Status
| Target | Status |
|---|---|
| Linux | |
| Android | |
| iOS | |
| Linux + MKL |