Cards tested (so far):
| Model | Released |
|---|---|
| Radeon RX 550 | April 2017 |
| Radeon RX 560 | April 2017 |
| Radeon HD 7800 Series | March 2012 |
Burak Mert Gonultas gonultasbu
OniDaito
/ pytorchvis.py
Created
May 14, 2020 16:41
Given a model from pytorch, print out to console and graphviz to see what is going on
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| # Our drawing graph functions. We rely / have borrowed from the following | |
| # python libraries: | |
| # https://github.com/szagoruyko/pytorchviz/blob/master/torchviz/dot.py | |
| # https://github.com/willmcgugan/rich | |
| # https://graphviz.readthedocs.io/en/stable/ | |
| def draw_graph(start, watch=[]): | |
| from graphviz import Digraph |
9bitbear
/ AMD-Radeon-GPU-Linux-setup.md
Last active
March 20, 2021 21:54
AMD RX Series GPU setup for Mining
cbaziotis
/ AttentionWithContext.py
Last active
April 25, 2022 14:37
Keras Layer that implements an Attention mechanism, with a context/query vector, for temporal data. Supports Masking. Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] "Hierarchical Attention Networks for Document Classification"
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| def dot_product(x, kernel): | |
| """ | |
| Wrapper for dot product operation, in order to be compatible with both | |
| Theano and Tensorflow | |
| Args: | |
| x (): input | |
| kernel (): weights | |
| Returns: | |
| """ | |
| if K.backend() == 'tensorflow': |