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fix: add missing <cstring> include in bpe_tokenizer.h
CI
#133:
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feat: BPE tokenization + weight tying + top-p sampling for NinoGPT
CI
#132:
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data: expand Nino dialogue to 447 entries (913K tokens)
CI
#131:
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61340a4
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fix: revert to fast hand-written helpers + shrink model for CPU training
CI
#130:
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fix: keep NinoGPT on CPU — GPU transfers slower than CPU-only training
CI
#129:
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feat: GPU-accelerate NinoGPT via reshape-to-2D + framework matmul
CI
#128:
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data: add 264 Nino Nakano dialogue entries for GPT training
CI
#127:
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fix: make pad2d differentiable to fix 150MB/batch memory leak
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#126:
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447a7c5
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fix: size-adaptive memory pool to prevent OOM on 224x224 training
CI
#125:
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e293a8b
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feat: memory-mapped data loading for ImageNette training
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#124:
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fix: add MemoryPool::trim() to prevent OOM on 224x224 training
CI
#123:
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fix: stream ImageNette preprocessing to disk — prevents OOM
CI
#122:
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docs: ARCHITECTURE.md — codebase structure for contributors
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#121:
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6c45ffe
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cleanup: remove dead shadow cache code from CUDA backend
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#120:
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bf3565b
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3m 36s
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fix: eliminate all compiler warnings across the codebase
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#119:
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feat: ImageNette training — standard ResNet-18 on 224x224 images
CI
#118:
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2m 56s
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fix: save/load BatchNorm running stats in checkpoints
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#117:
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fix: read uint64 dims in export tool (matches checkpoint format)
Build and Publish Wheels
#1:
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1m 7s
v1.0
v1.0
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fix: read uint64 dims in export tool (matches checkpoint format)
CI
#116:
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3m 11s
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fix: export tool reads WMCP checkpoint format from training
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#115:
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feat: browser-based CIFAR-10 demo with ONNX Runtime Web
CI
#114:
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fix: remove flush_grad_shadows call (method removed in revert)
CI
#113:
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revert: restore exact WSL2 working state (commit ad7ed82)
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#112:
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debug: disable cuDNN conv2d, re-enable cuDNN BN — isolating conv back…
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#111:
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3m 17s
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fix: restore exact working config from WSL2 (commit ad7ed82)
CI
#110:
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