wifi-densepose/vendor/sublinear-time-solver/crates/neural-network-implementation/configs/A_traditional.yaml

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YAML

# Configuration for System A - Traditional micro-net
common:
horizon_ms: 500
window_ms: 128
sample_rate_hz: 2000
features: ["x", "y", "vx", "vy"]
quantize: true
random_seed: 42
verbose: false
model:
model_type: "micro_gru"
hidden_size: 32
num_layers: 1
dropout: 0.1
residual: true
activation: "tanh"
layer_norm: false
training:
optimizer: "adam"
learning_rate: 0.001
batch_size: 256
epochs: 15
patience: 5
val_frequency: 1
grad_clip: 1.0
weight_decay: 0.0001
smoothness_weight: 0.1
checkpoint_frequency: 5
inference:
target_latency_ms: 0.9
enable_simd: true
num_threads: 1
pin_memory: true
cpu_affinity: null
batch_size: 1
system:
type: "Traditional"