TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models

TensorRT Python Inference Example

Dealing With CUDA Shared Memory Bank Conflicts Using Swizzling

How Distribution of a Random Variable Changes when the Variable is Transformed in a Deterministic Way

Creating More Reliable Build Systems by Managing Dependency Interfaces

How Distribution of a Random Variable Changes When the Variable is Transformed in a Deterministic Way

Dealing with the Intractable Marginal Likelihood in Bayesian Inference

Optimizing Probabilistic Models with Latent Variables

Proof for Univariate and Multivariate Definite Integration by Substitution

The Existence and the Uniqueness of Determinant and Its Relationship with Hyper Volume

How To Unit Test Quantization Implementation

Disabling Optimization on Purpose