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This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

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Bumps [scipy](https://github.com/scipy/scipy) from 1.1.0 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies

Bumps [scipy](https://github.com/scipy/scipy) from 1.1.0 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.4 to 2.11.1. Release notes Sourced from tensorflow's releases. TensorFlow 2.11.1 Release 2.11.1 Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting...

dependencies

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.15.4 to 2.12.0. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.12.0 Release 2.12.0 TensorFlow Breaking Changes Build, Compilation and Packaging Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These...

dependencies

Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0. Release notes Sourced from onnx's releases. v1.13.0 ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed...

dependencies

Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0. Release notes Sourced from onnx's releases. v1.13.0 ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed...

dependencies

``` from torch import nn from rnn import FastGRNNCUDA x = torch.randn((8192, 4, 512)).cuda() h0 = torch.zeros((4, 512)).cuda() gru = nn.GRU(512, 512, batch_first=False).cuda() grnn = FastGRNNCUDA(512, 512, batch_first=False).cuda() ``` Timing...

I am reconstructing SIRNN: Secure Inference for Recurrent Neural Networks according its README.md. When i was execute the command "python SeeDot-dev.py -a fastgrnn -e fixed -d Google-30 -m red_disagree -t...

I am reconstructing SIRNN: Secure Inference for Recurrent Neural Networks according its README.md. When I was excute this command "python process_g30.py -d Google-30/ -s Google-30/", I find the directory EdgeML/examples/tf/FastCells...

https://github.com/microsoft/EdgeML/blob/master/pytorch/README.md #PingMSFTDocs