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fix jenkins (#31)
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vta/Jenkinsfile

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// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/
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// nnvm libraries
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vta_lib += "lib/libvta.so, lib/libvta.so.json"
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vta_lib += ", nnvm/tvm/lib/libtvm.so, nnvm/tvm/lib/libtopi.so, nnvm/lib/libnnvm_compiler.so"
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vta_lib = "lib/libvta.so, lib/libvta.so.json"
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vta_lib += ", nnvm/tvm/lib/libtvm.so, nnvm/tvm/lib/libtvm_topi.so, nnvm/lib/libnnvm_compiler.so"
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// command to start a docker container

vta/README.md

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VTA: Open, Modular, Deep Learning Accelerator Stack
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===================================================
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[![Build Status](http://mode-gpu.cs.washington.edu:8080/buildStatus/icon?job=uwsaml/vta/master)](http://mode-gpu.cs.washington.edu:8080/job/uwsaml/job/vta/job/master/)
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[![GitHub license](http://dmlc.github.io/img/apache2.svg)](./LICENSE)
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VTA(versatile tensor accelerator) is an open-source deep learning accelerator stack.

vta/docs/api/python/index.rst

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Python API
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==========
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This document contains the python API to VTA compiler toolchain.
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.. automodule:: vta
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Hardware Information
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--------------------
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.. autofunction:: vta.Environment
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.. autofunction:: vta.get_env
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RPC Utilities
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-------------
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.. autofunction:: vta.reconfig_runtime
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.. autofunction:: vta.program_fpga
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Compiler API
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------------
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We program VTA using TVM, so the compiler API in vta package
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is only a thin wrapper to provide VTA specific extensions.
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.. autofunction:: vta.build_config
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.. autofunction:: vta.build
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.. autofunction:: vta.lower

vta/python/vta/__init__.py

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"""TVM-based VTA Compiler Toolchain"""
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"""VTA Package is a TVM backend extension to support VTA hardwares
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Besides the compiler toolchain.
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It also include utility functions to
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configure the hardware Environment and access remote through RPC
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"""
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from __future__ import absolute_import as _abs
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__version__ = "0.1.0"

vta/tests/scripts/task_python_docs.sh

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#!/bin/bash
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cd nnvm/tvm
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make cython
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make cython3
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cd ../../
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mkdir -p docs/_build/html
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# C++ doc
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make doc

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