Ferdinand Mom 3outeille

Part III: Vectorization Techniques

(Training material on pytorch CPU performance optimization)

Chinese version for this chapter, link.

This section contains the following subjects:

For a version without the collapsible details sections (so you can search the whole thing in your browser), click here.

color scheme
- dracula - https://draculatheme.com/
  - tmux
  - terminal
  - vim
- using plug (vim), tpm (tmux), and a json file for windows terminal
terminal
- i use bash, you can use zsh, its all mostly applicable
- fuzzy learning cd: https://github.com/rupa/z
z proj, takes you to /some/deep/directory/project

Crédit : seirl

Expliquer le comportement suivant :

>>> def increment(l=[1, 2, 3]):
...     for i in range(len(l)):
... l[i] += 1

AWESOME LINGUISTICS - A curated list of anything remotely related to linguistics, sorted in alphabetical order.

Colab Notebook: introduction to Python
Introduction to Jupyter Notebooks – Jupyter notebooks provide an environment where you can freely combine human-readable narrative with computer-readable code.
Installing Python Modules with pip – How to download and install Python modules.

NOTE: The Programming Historian contains many coding lessons gea

	#include <benchmark/benchmark.h>
	#include <iostream>
	#include <random>
	#include <algorithm>
	#include <vector>
	#include <chrono>
	#include <iterator>
	#include <execution>

	static void count_if_random(benchmark::State& state)

	#!/usr/bin/python3

	#import nnvm.frontend.darknet
	import tvm.relay.testing.yolo_detection
	import tvm.relay.testing.darknet
	import tvm.relay.transform as _transform
	import matplotlib.pyplot as plt
	import numpy as np
	import tvm
	import onnx

	#!/usr/bin/python3

	import nnvm
	import nnvm.frontend.darknet
	import tvm.relay.testing.yolo_detection
	import tvm.relay.testing.darknet
	import tvm.relay.transform as _transform
	import matplotlib.pyplot as plt
	import numpy as np
	import tvm