tensor field network, graph neural networks
Tensor field networks achieve equivariance through tensor product operations on irreducible representations of rotation groups.
653 technical terms and definitions
Tensor field networks achieve equivariance through tensor product operations on irreducible representations of rotation groups.
Operate on geometric tensors.
Outer product of modality features.
Tensor parallelism splits individual layers across GPUs. Megatron-style column/row parallel for attention and FFN.
Split individual tensors/layers across devices.
Tensor train decomposition chains matrices through successive products for efficient compression.
TensorFlow's visualization toolkit.
TensorBoard visualizes training. Loss curves, histograms, graphs.
Factorized tensor NeRF.
TensorFlow Lite provides lightweight runtime for mobile and embedded deployment with optimization tools.
Analyze TensorFlow performance.
TensorFlow Serving deploys TF models. High performance.
NVIDIA's optimized library for LLM inference.
TensorRT optimizes trained models for NVIDIA GPUs through fusion quantization and kernel selection.
NVIDIA's optimization library for fast inference.
TensorRT optimizes models for NVIDIA GPUs: layer fusion, precision calibration, kernel autotuning. Fastest inference.
TensorRT optimizes models for NVIDIA GPUs. Kernel fusion, precision conversion. Fastest inference on NVIDIA.
Precursor for high-quality oxide CVD.
Edit distance metric.
Characterize carrier dynamics with THz.
Termination resistors match line impedance at receivers preventing reflections in high-speed links.
Quantize gradients to -1 0 +1.
Ternary networks use three-level weights providing expressiveness between binary and full precision.
Use three values (−1 0 +1).
Generate tests from specifications.
Test costs encompass wafer probe package test and burn-in expenses.
Expense of testing per unit.
Test coverage quantifies the percentage of device functionality or potential defects detected by a test program or suite.
Percentage of defects detected by test.
Test die contain monitoring structures for process characterization without functional circuits.
Test escape rate measures fraction of defective devices passing test and reaching customers.
Test escapes are defective devices that pass testing and reach customers requiring analysis to improve test program effectiveness.
AI generates unit tests. Increase coverage. Understand code intent.
Automatically create unit tests for code.
LLMs generate unit tests from code or specs. Helps increase coverage and catch edge cases.
Test point insertion adds observability or controllability improving fault detection.
Test programs define the sequence of measurements biasing conditions and pass-fail criteria for automated semiconductor device characterization.
Duration of electrical testing.
Input patterns to verify chip functionality.
Adapt model during inference without labels.
Average predictions over augmentations.
Augment during inference and average.
Update model at test time.
I help you design unit/integration tests, choose frameworks, and think about edge cases and regression protection.
Tetrad implements causal discovery algorithms like PC and FCI for learning directed acyclic graphs from data.
Encode prompts (CLIP ViT-L).
text-generation-webui provides full-featured LLM interface. Many features. Community project.
Hugging Face's optimized serving solution for LLMs.
Predict masked spans of varying length.
Randomly shuffle tokens.