Challenges

目录

• 1D Convolution
• 2D Convolution
• 2D Jacobi Stencil
• 2D Max Pooling
• 2D Subarray Sum
• 3D Convolution
• 3D Subarray Sum
• All-Pairs Shortest Paths
• Attention with Linear Biases (ALiBi)
• Batch Normalization
• Batched Matrix Multiplication
• BFS Shortest Path
• Categorical Cross Entropy Loss
• Causal Self-Attention
• Color Inversion
• Count 2D Array Element
• Count 3D Array Element
• Count Array Element
• Dot Product
• Fast Fourier Transform (FFT)
• FP16 Batched Matrix Multiplication
• FP16 Dot Product
• Gaussian Blur
• Gaussian Error Gated Linear Unit
• General Matrix Multiplication (GEMM)
• GPT-2 Transformer Block
• Histogramming
• INT8 Quantized MatMul
• Interleave Arrays
• K-Means Clustering
• Leaky ReLU
• Linear Self-Attention
• Logistic Regression
• Matrix Addition
• Matrix Copy
• Matrix Multiplication
• Matrix Power
• Matrix Transpose
• Max Subarray Sum
• Mean Squared Error
• Merge Sorted Arrays
• MoE Top-K Gating
• Monte Carlo Integration
• Multi-Agent Simulation (Boids)
• Multi-Head Attention
• Nearest Neighbor
• Ordinary Least Squares
• Parallel Merge
• Prefix Sum
• Radix Sort
• Rainbow Table
• Reduction
• ReLU
• Reverse Array
• RGB to Grayscale
• RMS Normalization
• Rotary Positional Embedding (RoPE)
• Sigmoid Activation
• Sigmoid Linear Unit (SiLU)
• Simple Inference
• Sliding Window Self-Attention
• Softmax
• Softmax Attention
• Sorting
• Sparse Matrix-Dense Matrix Multiplication
• Sparse Matrix-Vector Multiplication
• Stream Compaction
• Subarray Sum
• Swish-Gated Linear Unit
• Top K Selection
• Top-p Sampling (Nucleus)
• Value Clipping
• Vector Addition
• Weight Dequantization