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require "bundler/inline" | |
gemfile do | |
source "https://rubygems.org" | |
gem "activerecord", require: "active_record" | |
gem "neighbor", github: "ankane/neighbor" | |
gem "pg" | |
end |
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# CREATE INDEX output omitted | |
psql:repro.sql:8: INFO: vector_l2_squared_distance | |
psql:repro.sql:8: INFO: vector_l2_squared_distance | |
psql:repro.sql:8: INFO: vector_l2_squared_distance | |
psql:repro.sql:8: INFO: vector_l2_squared_distance | |
psql:repro.sql:8: INFO: vector_l2_squared_distance | |
psql:repro.sql:8: INFO: l2_distance | |
psql:repro.sql:8: INFO: l2_distance | |
id | |
---- |
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Machine: r7g.large | |
Dataset: gist-960 | |
Lists: 1000 | |
IP today | |
INFO: k-means: 46822.401 ms | |
INFO: assign tuples: 253000.270 ms | |
IP PR |
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require "active_record" | |
require "disco" | |
require "elasticsearch" | |
require "searchkick" | |
ActiveRecord::Base.establish_connection adapter: "sqlite3", database: ":memory:" | |
ActiveRecord::Schema.verbose = false | |
ActiveRecord::Schema.define do | |
create_table :movies do |t| | |
t.string :name |
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<?php | |
require_once __DIR__ . '/../vendor/autoload.php'; | |
function getPixels($img) | |
{ | |
$pixels = []; | |
$width = imagesx($img); | |
$height = imagesy($img); | |
for ($y = 0; $y < $height; $y++) { |
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createdb pgsync_repro1 | |
createdb pgsync_repro2 | |
psql pgsync_repro1 << SQL | |
CREATE TABLE posts ( | |
id BIGINT PRIMARY KEY, | |
linked_post_id BIGINT, | |
FOREIGN KEY (linked_post_id) REFERENCES posts (id) | |
); | |
INSERT INTO posts VALUES (1, NULL), (2, 1); |
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require "bundler/inline" | |
gemfile do | |
source "https://rubygems.org" | |
gem "activerecord", require: "active_record" | |
gem "sqlite3" | |
gem "lockbox", git: "https://github.com/ankane/lockbox.git" | |
end |
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1 | 3.7 | 1.2 | 7.2 | 9 | |
---|---|---|---|---|---|
1 | 7.5 | 0.5 | 7.9 | 0 | |
1 | 1.6 | 0.1 | 7.6 | 7 | |
0 | 0.6 | 2.5 | 5.0 | 4 | |
1 | 1.8 | 8.4 | 1.1 | 2 | |
2 | 6.8 | 8.7 | 8.7 | 9 | |
2 | 9.4 | 9.6 | 8.6 | 9 | |
1 | 0.9 | 0.7 | 6.3 | 6 | |
0 | 5.7 | 0.1 | 0.0 | 1 | |
1 | 0.8 | 8.8 | 1.3 | 3 |
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# Bootstrap AWS Deep Learning Base AMI (Ubuntu 18.04) | |
# install Ruby | |
sudo snap install ruby --classic | |
# install LibTorch | |
wget -O libtorch.zip https://download.pytorch.org/libtorch/cu102/libtorch-cxx11-abi-shared-with-deps-1.7.0.zip | |
unzip libtorch.zip | |
# download |
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# https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus | |
require "onnxruntime" | |
require "mini_magick" | |
img = MiniMagick::Image.open("ranger.jpg") | |
img.crop "100x100+60+20", "-gravity", "center" | |
img.resize "64x64^", "-gravity", "center", "-extent", "64x64" | |
img.colorspace "Gray" | |
img.write("resized.jpg") |
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