dusty-nv

slicing onion
jetskiing
building cabinet
eating hotdog
building lego
jumping jacks
kissing
bee keeping
blowing glass
curling eyelashes

dusty-nv

"intent_labels": [
      "alarm_query",
      "alarm_remove",
      "alarm_set",
      "audio_volume_down",
      "audio_volume_mute",
      "audio_volume_up",
      "calendar_query",
      "calendar_remove",
      "calendar_set",

dusty-nv

diff --git a/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h b/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
index 2aac442d21..f2321dad7a 100644
--- a/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
+++ b/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
@@ -26,6 +26,9 @@ namespace {
 // Most likely we will do aarch32 support with inline asm.
 #if defined(__aarch64__)
 
+// See https://github.com/pytorch/pytorch/issues/47098
+#if defined(__clang__) || (__GNUC__ > 8 || (__GNUC__ == 8 && __GNUC_MINOR__ > 3))

dusty-nv

diff --git a/aten/src/ATen/cuda/CUDAContext.cpp b/aten/src/ATen/cuda/CUDAContext.cpp
index e48c020b03..0ecc111c4b 100644
--- a/aten/src/ATen/cuda/CUDAContext.cpp
+++ b/aten/src/ATen/cuda/CUDAContext.cpp
@@ -24,6 +24,8 @@ void initCUDAContextVectors() {
 void initDeviceProperty(DeviceIndex device_index) {
   cudaDeviceProp device_prop;
   AT_CUDA_CHECK(cudaGetDeviceProperties(&device_prop, device_index));
+  // patch for "too many resources requested for launch"
+  device_prop.maxThreadsPerBlock = device_prop.maxThreadsPerBlock / 2;

dusty-nv

=======================================================================
                            README-vnc
                          Linux for Tegra
               Configuring VNC from the command-line
=======================================================================

A VNC server allows access to the graphical display of a Linux for Tegra system
over the network. This allows you to work physically remote from the Linux for
Tegra system, and avoids the need to connect an HDMI display, USB keyboard, or
mouse.

dusty-nv

#!/bin/bash
#
# This script reads the correct MAC address of a Jetson Nano from the onboard EEPROM over i2c.
# First install i2c-tools package. Then make this script executable, and run it with sudo:
#
#     $ sudo apt-get install i2c-tools
#     $ chmod +x nano-read-mac.sh
#     $ sudo ./nano-read-mac.sh
#          MAC address is xx:xx:xx:xx:xx:xx
#

dusty-nv

#!/bin/bash
#
# EDIT:  this script is outdated, please see https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-6-0-now-available
#
sudo apt-get install python-pip

# upgrade pip
pip install -U pip
pip --version
# pip 9.0.1 from /home/ubuntu/.local/lib/python2.7/site-packages (python 2.7)