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[DOCS] Phase out nnvm tutorials #2783

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Mar 12, 2019
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4 changes: 1 addition & 3 deletions docs/conf.py
Original file line number Diff line number Diff line change
Expand Up @@ -194,10 +194,8 @@ def run_doxygen(folder):
'../tutorials/optimize',
'../tutorials/autotvm',
'../tutorials/dev',
'../tutorials/vta',
'../tutorials/topi',
'../tutorials/deployment',
'../tutorials/nnvm'])
'../tutorials/deployment'])

def generate_doxygen_xml(app):
"""Run the doxygen make commands if we're on the ReadTheDocs server"""
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4 changes: 1 addition & 3 deletions tutorials/frontend/deploy_ssd_gluoncv.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,9 +9,7 @@
import tvm

from matplotlib import pyplot as plt
from nnvm import compiler
from nnvm.frontend import from_mxnet
from nnvm.testing.config import ctx_list
from tvm.relay.testing.config import ctx_list
from tvm import relay
from tvm.contrib import graph_runtime
from gluoncv import model_zoo, data, utils
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139 changes: 0 additions & 139 deletions tutorials/nnvm_quick_start.py

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@@ -1,12 +1,13 @@
"""
Get Started with TVM
====================
Get Started with Tensor Expression
==================================
**Author**: `Tianqi Chen <https://tqchen.github.io>`_

This is an introduction tutorial to TVM.
TVM is a domain specific language for efficient kernel construction.
This is an introduction tutorial to Tensor expression language in TVM.
TVM uses a domain specific tensor expression for efficient kernel construction.

In this tutorial, we will demonstrate the basic workflow in TVM.
In this tutorial, we will demonstrate the basic workflow to use
the tensor expression language.
"""
from __future__ import absolute_import, print_function

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