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Issue 013: Add end-to-end data pipeline smoke tests and docs
Context
After the registry, schemas, memmap store, manifest builder, crop sampler, and pretraining dataset exist, add a small
end-to-end test ...
Issue 012: Implement unlabeled attribute-volume dataset for MAE pretraining
Context
The MAE pretraining model will consume randomly sampled local/context crops from NOPIMS manifests. This issue creates ...
Issue 011: Implement local and context crop sampler
Context
The MVP uses fixed crop sizes:
local_crop_size: [128, 128, 128]
context_crop_size: [512, 512, 512]
context_downsample: 4
context_after_downsample: ...
Issue 010: Implement NOPIMS manifest builder for .npy attribute volumes
Context
NOPIMS pretraining data will be stored under:
/home/dcuser/data/NOPIMS/
The MVP expects approximately 100 3D surveys. ...
Issue 009: Implement .npy memmap volume store
Context
The MVP input format is .npy memmap. Volumes must be read as [X, Y, Z] arrays using:
np.load(path, mmap_mode= r )
Do not use raw np.memmap on .npy ...
Issue 008: Define manifest records and dataset sample schema
Context
The MVP uses NOPIMS .npy memmap volumes for external pretraining. Before implementing model code, define the data
contracts for survey ...
Issue 007: Implement MVP attribute registry and stable attribute IDs
Context
The repository now has the package scaffold and fixed MVP config values. The next implementation phase needs a single
source ...
Summary
A stale .pytest_cache/ directory exists outside the repository, at the parent workspace folder:
/Users/jakerecharte/CWG - Coding With Git/.pytest_cache/ - stray (outside repo)
/Users/jakerecharte/CWG ...
tier-3
Summary
mlx/backend/metal/kernels/quantized.metal translates to Vulkan SPIR-V assembly, but spirv-as rejects the generated
module because large bit-packing constants are emitted as signed 32-bit integer ...
Related to #220, #231, and #233.
Goal
Once the portable local Python sandbox exists, make it available by default so users can ask boltzstack-engine-chat to
run simple Python tasks such as sleeping, ...
documentation
enhancement
python

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