๐ WIA-AI-011 Simulator
Interactive AI Chip Interface Testing Environment
๐ฆ Data Format
๐งฎ Algorithms
๐ Protocol
๐ง Integration
โ Test
Tensor Data Format Converter
Tensor Configuration
Shape (comma-separated):
Data Type:
FLOAT32
FLOAT16
BFLOAT16
INT8
INT32
Memory Layout:
NCHW (Batch, Channel, Height, Width)
NHWC (Batch, Height, Width, Channel)
CHWN (Channel, Height, Width, Batch)
Generate Descriptor
Calculate Memory
Tensor Descriptor
Memory Analysis
AI Accelerator Algorithm Simulator
Algorithm Selection
Operation Type:
Matrix Multiplication
2D Convolution
Max/Avg Pooling
Activation (ReLU, GELU)
Softmax
Layer Normalization
Target Accelerator:
NPU (Neural Processing Unit)
TPU (Tensor Processing Unit)
GPU (Graphics Processing Unit)
CPU (Fallback)
Optimization Level:
O0 - No Optimization
O1 - Basic Optimization
O2 - Aggressive Optimization
O3 - Maximum Optimization
Compile Kernel
Run Benchmark
Compiled Kernel
Performance Metrics
0.00
TFLOPS
0.00
Latency (ms)
0.00
GB/s
Inter-Chip Communication Protocol
Multi-Device Setup
Number of Devices:
Communication Mode:
Peer-to-Peer (P2P)
Collective (All-Reduce)
Broadcast
Scatter-Gather
Data Size (MB):
Initialize Devices
Simulate Transfer
Device Status
Transfer Log
Framework Integration
Framework Configuration
AI Framework:
PyTorch
TensorFlow
JAX
ONNX Runtime
Model Architecture:
Transformer
CNN (ResNet-50)
RNN/LSTM
GAN
Batch Size:
Generate Code
Test Integration
Generated Integration Code
Integration Test Results
Comprehensive Test Suite
Test Configuration
Test Suite:
Unit Tests
Integration Tests
Performance Tests
Stress Tests
All Tests
Coverage Level:
Basic (50%)
Standard (80%)
Comprehensive (95%)
Run Tests
Generate Report
Test Results
Coverage Metrics
0
Tests Passed
0
Tests Failed
0%
Code Coverage