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The following commit(s) were added to refs/heads/asf-site by this push:
new 9781f6d Build at Thu Mar 4 15:01:46 PST 2021
9781f6d is described below
commit 9781f6d7fbe243cbfc0b8f3564edbbaa27b223d5
Author: Lianmin Zheng <[email protected]>
AuthorDate: Thu Mar 4 15:01:47 2021 -0800
Build at Thu Mar 4 15:01:46 PST 2021
---
2021/03/03/intro-auto-scheduler.html | 2 +-
atom.xml | 4 ++--
feed.xml | 4 ++--
rss.xml | 6 +++---
4 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/2021/03/03/intro-auto-scheduler.html
b/2021/03/03/intro-auto-scheduler.html
index e10a971..208511e 100644
--- a/2021/03/03/intro-auto-scheduler.html
+++ b/2021/03/03/intro-auto-scheduler.html
@@ -178,7 +178,7 @@ As a result, the auto-scheduler can achieve better
performance with less search
<p>Ansor auto-scheduler is now integrated into Apache TVM as <code
class="language-plaintext highlighter-rouge">tvm.auto_scheduler</code> package.
This is a joint effort by collaborators from UC Berkeley, Alibaba, AWS and
OctoML.
-Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA CPUs, and
Mali GPUs on the TVM website [1].
+Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA GPUs, and
Mali GPUs on the TVM website [1].
In this blog post, we will give a high-level introduction and show some
benchmark results.</p>
<h1 id="system-overview">System Overview</h1>
diff --git a/atom.xml b/atom.xml
index cb57f8a..a74826d 100644
--- a/atom.xml
+++ b/atom.xml
@@ -4,7 +4,7 @@
<title>TVM</title>
<link href="https://tvm.apache.org"; rel="self"/>
<link href="https://tvm.apache.org"/>
- <updated>2021-03-03T01:20:46-08:00</updated>
+ <updated>2021-03-04T15:01:42-08:00</updated>
<id>https://tvm.apache.org</id>
<author>
<name></name>
@@ -43,7 +43,7 @@ As a result, the auto-scheduler can achieve better
performance with less search
<p>Ansor auto-scheduler is now integrated into Apache TVM as <code
class="language-plaintext
highlighter-rouge">tvm.auto_scheduler</code> package.
This is a joint effort by collaborators from UC Berkeley, Alibaba, AWS and
OctoML.
-Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA CPUs, and
Mali GPUs on the TVM website [1].
+Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA GPUs, and
Mali GPUs on the TVM website [1].
In this blog post, we will give a high-level introduction and show some
benchmark results.</p>
<h1 id="system-overview">System Overview</h1>
diff --git a/feed.xml b/feed.xml
index 5d387ea..b6e6b58 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.1.1">Jekyll</generator><link href="/feed.xml" rel="self"
type="application/atom+xml" /><link href="/" rel="alternate" type="text/html"
/><updated>2021-03-03T01:20:46-08:00</updated><id>/feed.xml</id><title
type="html">TVM</title><author><name>{"name"=>nil}</name></author><entry><title
type="html">Introducing TVM Auto-scheduler (a.k.a. Ansor)</tit [...]
+<?xml version="1.0" encoding="utf-8"?><feed
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/";
version="4.1.1">Jekyll</generator><link href="/feed.xml" rel="self"
type="application/atom+xml" /><link href="/" rel="alternate" type="text/html"
/><updated>2021-03-04T15:01:42-08:00</updated><id>/feed.xml</id><title
type="html">TVM</title><author><name>{"name"=>nil}</name></author><entry><title
type="html">Introducing TVM Auto-scheduler (a.k.a. Ansor)</tit [...]
model size, operator diversity, and hardware heterogeneity.
From a computational perspective, deep neural networks are just layers and
layers of tensor computations.
These tensor computations, such as matmul and conv2d, can be easily described
by mathematical expressions.
@@ -24,7 +24,7 @@ As a result, the auto-scheduler can achieve better
performance with less search
<p>Ansor auto-scheduler is now integrated into Apache TVM as <code
class="language-plaintext
highlighter-rouge">tvm.auto_scheduler</code> package.
This is a joint effort by collaborators from UC Berkeley, Alibaba, AWS and
OctoML.
-Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA CPUs, and
Mali GPUs on the TVM website [1].
+Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA GPUs, and
Mali GPUs on the TVM website [1].
In this blog post, we will give a high-level introduction and show some
benchmark results.</p>
<h1 id="system-overview">System Overview</h1>
diff --git a/rss.xml b/rss.xml
index 2173b21..5d1e909 100644
--- a/rss.xml
+++ b/rss.xml
@@ -5,8 +5,8 @@
<description>TVM - </description>
<link>https://tvm.apache.org</link>
<atom:link href="https://tvm.apache.org"; rel="self"
type="application/rss+xml" />
- <lastBuildDate>Wed, 03 Mar 2021 01:20:46 -0800</lastBuildDate>
- <pubDate>Wed, 03 Mar 2021 01:20:46 -0800</pubDate>
+ <lastBuildDate>Thu, 04 Mar 2021 15:01:42 -0800</lastBuildDate>
+ <pubDate>Thu, 04 Mar 2021 15:01:42 -0800</pubDate>
<ttl>60</ttl>
@@ -38,7 +38,7 @@ As a result, the auto-scheduler can achieve better
performance with less search
<p>Ansor auto-scheduler is now integrated into Apache TVM as <code
class="language-plaintext
highlighter-rouge">tvm.auto_scheduler</code> package.
This is a joint effort by collaborators from UC Berkeley, Alibaba, AWS and
OctoML.
-Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA CPUs, and
Mali GPUs on the TVM website [1].
+Detailed tutorials are available for Intel CPUs, ARM CPUs, NVIDIA GPUs, and
Mali GPUs on the TVM website [1].
In this blog post, we will give a high-level introduction and show some
benchmark results.</p>
<h1 id="system-overview">System Overview</h1>
