D2L-TVM v0.1

This release contains 22 sections, including

1. Getting Started
   1.1. Installation
   1.2. Vector Addition
   1.3. Neural Network Inference
   1.4. Running on a Remote Machine
2. Expressions for Operators
   2.1. Data Types
   2.2. Shapes
   2.3. Index and Shape Expressions
   2.4. Reduction Operations
   2.5. Conditional Expression: if-then-else
   2.6. Truth Value Testing: all and any
3. Common Operators
   3.1. Matrix Multiplication
   3.2. Convolution
4. Operator Optimizations on CPUs
   4.1. CPU Architecture
   4.2. Function Call Overhead
   4.3. Vector Addition
   4.4. Matrix Multiplication
   4.5. Improve Cache Efficiency by Blocking
   4.6. Convolution
   4.7. Packed Convolution
5. Operator Optimizations on GPUs
   5.1. GPU Architecture
   5.2. Vector Addition
   5.3. Matrix Multiplication

In addition,

• Added Colab button on top of each section
• Embedded discussion threads at the end of each section