TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models

TensorRT Python Inference Example

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

How To Unit Test Quantization Implementation

Easier PyTorch to TensorRT Custom Plugin Integration

First Principles of Evaluating Deep Learning Inference

Numerical Errors are Evil

Attention with Learned Spatial Feature Sampling

Convolution with Learned Spatial Feature Sampling

Using Motorola CPU32 as an Example

How ONNX Expands the Support for Deep Learning Inference Over the Years

Understanding PyTorch Leaf Tensor