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Reorganization #54

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merged 17 commits into from Sep 5, 2018

Reorg stuff

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Aditya Kusupati
Aditya Kusupati committed Aug 28, 2018
commit 56df2ce2476ecd513240fb30d7757af56f4a1c51
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@@ -103,4 +103,5 @@ Additionally, there is one of two flags that has to be set in the Makefile:
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the MIT license.
@@ -1,7 +1,7 @@
# EdgeML FastCells on a sample public dataset
This directory includes example notebook and general execution script of
FastCells (FastGRNN & FastRNN) developed as part of EdgeML. Also, we include a
FastCells (FastRNN & FastGRNN) developed as part of EdgeML. Also, we include a
sample cleanup and use-case on the USPS10 public dataset.
`edgeml.graph.rnn` implements the custom RNN cells of FastGRNN and FastRNN with
@@ -58,6 +58,7 @@ Non-Zeros: 1932 Model Size: 7.546875 KB hasSparse: False
usps10 directory will now have a consolidated results file called `FastGRNNResults.txt` or `FastRNNResults.txt` depending on the choice of the RNN cell.
A directory `FastGRNNResults` or `FastRNNResults` with the corresponding models with each run of the code on the usps10 dataset
## Byte Quantization(Q) for model compression
If you wish to quantize the generated model to use byte quantized integers use `quantizeFastModels.py`. Usage Instructions:
```
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