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Release 1.0 RC1
Release 1.0 RC1
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‎.gitignore

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*.o
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*.u
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*.s
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*.a
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*.elf
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*.map
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*.pyc
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example_cifar10_caffe/MIDE_EM/EM*D/*
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example_cifar10_caffe/MIDE_EM/.settings/*
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example_har_smartphone/MIDE_EM/EM*D/*
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example_har_smartphone/MIDE_EM/.settings/*
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*.log
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*mdb_log.txt
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*.stdout
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*.stderr
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*.db
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.project
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.vscode
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obj/*.d

‎CODEOWNERS

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# All files need to be reviewed by JaccovG or ipozdnov
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* @JaccovG @ipozdnov

‎LICENSE

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Copyright (c) 2019, Synopsys, Inc. All rights reserved.
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embARC Machine Learning Inference (embARC MLI) library
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Copyright (c) 2019 Synopsys, Inc. All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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‎Makefile

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#
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# Copyright 2019, Synopsys, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-3-Clause license found in
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# the LICENSE file in the root directory of this source tree.
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#
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# Default TCF is based on the standard EM9D Voice Audio template
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TCF ?= ../../hw/em9d.tcf
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.PHONY: lib
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all: app
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lib:
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gmake -C lib/make TCF_FILE=$(TCF)
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app: lib
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gmake -C lib/make TCF_FILE=$(TCF)
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gmake -C examples/example_cifar10_caffe TCF_FILE=$(TCF)
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gmake -C examples/example_har_smartphone TCF_FILE=$(TCF)
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cleanapp:
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gmake -C examples/example_cifar10_caffe clean
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gmake -C examples/example_har_smartphone clean
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cleanall:
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gmake -C lib/make clean
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gmake -C examples/example_cifar10_caffe cleanall
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gmake -C examples/example_har_smartphone cleanall
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libclean:
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gmake -C lib/make clean

‎README.md

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"# embarc_mli"
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EmbARC Machine Learning Inference Library
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==================================================
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This repository contains source code of embARC Machine Learning Inference Library (embARC MLI Lib),
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examples and documentation.
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## Release notes
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----------------
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1. Preliminary version 0.5
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2. This release supports following functional primitives
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* 2D Convolution
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* 2D depthwise convolution
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* Fully Connected layer
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* Max and average pooling
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* LSTM, Basic RNN
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* Elementwise (add, sub, mul, min, max)
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* Data manipulation (concatanation, permute, 2D padding)
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* ReLU, Leaky ReLu, ReLu1, ReLu6
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* Softmax, Sigmoid, ThanH
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3. Supported data layout CHW (Channel-Height-Width standard for Caffe)
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## Package structure
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--------------------
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./bin - directory holder for embARC MLI library and samples binaries created during build
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./build - contains common build rules
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./doc - contains the API documentation of the embARC MLI library
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./include - include files with API prototypes and types
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./lib/src - source code of embARC MLI Library
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./examples - source code of examples
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./examples/example_cifar10_caffe - example illustrating implementation of CIFAR10 Caffe
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./examples/example_har_smartphone - example illustrating implementation of Human Activity Recognition
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./examples/auxilary - source code of helper functions used for the examples
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./hw - contains HW templates (*.tcf files)
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## Building and quick start
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---------------------------
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By default embARC MLI Library can be build for [/hw/em9d.tcf](/hw/em9d.tcf) which is based on the standard EM9D Voice Audio template,
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defined in [MetaWare Development Tools](https://www.synopsys.com/dw/ipdir.php?ds=sw_metaware), with extended XY memory. embARC MLI Library can be also built for a specific
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EM or HS configuration.
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Build requirements:
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1. MetaWare Development tools 2018.12 or later
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Building of embARC MLI library
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1. Open command line and change working directory to './lib/make/'
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2. Start building
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'gmake TCF_FILE=../../hw/em9d.tcf'
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## Building and running [CIFAR10 Caffe example](examples/example_cifar10_caffe/README.md)
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---------------------------------------------
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1. Open command line and change working directory to './examples/example_cifar10_caffe/'
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2. Build CIFAR10 example
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'gmake TCF_FILE=../../hw/em9d.tcf'
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3. Run CIFAR10 example
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'gmake run TCF_FILE=../../hw/em9d.tcf'
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4. Result Quality shall be "S/N=3638.6 (71.2 db)"
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## Building and running [Human Activity Recognition example](examples/example_har_smartphone/README.md)
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----------------------------------------------------------
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1. Open command line and change working directory to './examples/example_har_smartphone'
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2. Clean old build artifacts of the application (this will not clean the lib)
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'gmake clean'
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3. Build HAR example.
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'gmake TCF_FILE=../../hw/em9d.tcf'
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4. Run HAR example.
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'gmake run TCF_FILE=../../hw/em9d.tcf'
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5. Result Quality shall be "S/N=1823.9 (65.2 db)"
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## Known Issues
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---------------
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None
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