feat(batch24-26): JEPA ViT wiring, data pipeline, cluster-scale config
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Batch 24 — Real ViT encoder integration (ssl/jepa_vit.rs): - JepaEncoder trait: encode(patch_indices) + embed_dim + num_patches - CpuViTEncoder: sinusoidal+learned pos embed, LCG-init weights, GELU FFN, MHSA scaled dot-product; runs min(depth,2) blocks for CPU test speed - EmaViTEncoder: shadow weights, tau-weighted update, τ=1 frozen / τ=0 copy - JepaTrainerV2: mask→CpuViTEncoder→predictor→EmaViT→L2→EMA; timing metrics - JepaViTConfig: tiny/small/base/large/huge presets (embed_dim, depth, heads) - 46 tests Batch 24b — ViT-S/T/small-14/large-14 configs (rtx-vision/configs.rs): - Added ViTConfig::tiny() d=192/depth=12/heads=3 - Added ViTConfig::small() d=384/depth=12/heads=6 - Added ViTConfig::small_14() d=384/patch=14 - Added ViTConfig::large_14() d=1024/depth=24/patch=14 Batch 25 — ImageNet-scale streaming data pipeline (ssl/jepa_data.rs): - ImageRecord: HWC pixel buffer with label and key - MultiScaleRandomCrop: LCG PRNG + bilinear resampling, scale 0.2-1.0 - RandomHorizontalFlip: stochastic row mirror - JepaAugmentationPipeline: crop→flip→ImageNet normalize (mean/std) - InMemoryShard: synthetic LCG data for testing - JepaBatch: augmented images + context/target indices per sample - JepaDataPipeline: streaming iterator, Fisher-Yates epoch shuffle, next_batch() → None at epoch end, reset_epoch() - DatasetStats: mask efficiency, avg context/target patch counts - WebDatasetShard: filesystem shard descriptor stub (to_in_memory for tests) - 35 tests Batch 26 — Cluster-scale training configuration (ssl/jepa_cluster.rs): - GpuSpec: RTX 5060 Ti (SM_120), RTX 4090, A100-80GB specs - NodeSpec + ClusterTopology: homogeneous/heterogeneous cluster descriptors - JepaParallelConfig: TP/PP/DP with for_model_and_cluster() auto-select (TP≥4 for ViT-L 300M+, TP=8/PP=2 for ViT-H 600M+) - GradientCompressionConfig: TopK/PowerSGD/1-bit SGD with error feedback - DcpCheckpointConfig: async save, EMA weights, keep-last-N - JepaClusterConfig: validate(), memory_per_gpu_gb(), throughput estimate - ClusterTrainingPlan: steps_per_epoch, total_steps, estimated_hours, summary - AdaptiveBatchSizer: GNS-based batch doubling/halving with [min,max] clamp - 42 tests Total new: 163 JEPA tests (0 failures), 3,350 lines Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
This commit is contained in:
co-authored by
Claude Sonnet 4.6
parent
25322b019d
commit
1c822120d3
@@ -15,6 +15,51 @@ pub struct ViTConfig {
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}
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impl ViTConfig {
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/// ViT-Tiny/16 configuration
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pub fn tiny() -> Self {
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Self {
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image_size: 224,
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patch_size: 16,
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num_classes: 1000,
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embed_dim: 192,
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depth: 12,
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num_heads: 3,
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mlp_ratio: 4.0,
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dropout: 0.0,
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attention_dropout: 0.0,
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}
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}
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/// ViT-Small/16 configuration
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pub fn small() -> Self {
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Self {
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image_size: 224,
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patch_size: 16,
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num_classes: 1000,
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embed_dim: 384,
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depth: 12,
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num_heads: 6,
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mlp_ratio: 4.0,
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dropout: 0.0,
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attention_dropout: 0.0,
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}
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}
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/// ViT-Small/14 configuration
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pub fn small_14() -> Self {
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Self {
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image_size: 224,
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patch_size: 14,
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num_classes: 1000,
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embed_dim: 384,
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depth: 12,
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num_heads: 6,
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mlp_ratio: 4.0,
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dropout: 0.0,
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attention_dropout: 0.0,
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}
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}
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/// ViT-Base/16 configuration
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pub fn base_16() -> Self {
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Self {
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@@ -45,6 +90,21 @@ impl ViTConfig {
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}
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}
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/// ViT-Large/14 configuration (alternative to large_16)
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pub fn large_14() -> Self {
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Self {
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image_size: 224,
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patch_size: 14,
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num_classes: 1000,
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embed_dim: 1024,
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depth: 24,
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num_heads: 16,
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mlp_ratio: 4.0,
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dropout: 0.0,
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attention_dropout: 0.0,
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}
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}
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/// ViT-Huge/14 configuration
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pub fn huge_14() -> Self {
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Self {
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