example_bundle / metadata.json
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{
"fit_method": "gradient",
"io_init": {
"in_dim": 3,
"out_dim": 2,
"representation": "model init dimensions (not runtime output shape semantics)",
"x_names": [
"x0",
"x1",
"x2"
],
"y_names": [
"y0",
"y1"
]
},
"io_pattern": "array->array",
"model_family_id": "mlp_v1",
"provenance": {
"dependencies": {
"flax": "0.10.4",
"jax": "0.4.38",
"numpy": "2.3.5",
"optax": "0.2.5"
},
"git_sha": "853a30387805735584ec72dd7274e0fdb48591ba",
"platform": "macOS-26.3.1-x86_64-i386-64bit",
"python_version": "3.12.11",
"saved_at_utc": "2026-04-10T02:09:02.834895+00:00",
"toolkit": "astro_emulators_toolkit",
"toolkit_version": "0.1.0"
},
"resolved": {
"model": {
"name": "mlp",
"params": {
"activation": "gelu",
"dtype": "float32",
"hidden_sizes": [
32,
32
],
"use_bias": true
}
},
"solver": {
"name": "gradient",
"params": {}
},
"task": {
"name": "regression",
"params": {
"loss": "mse",
"loss_weights": null,
"metric_axes": null,
"metrics": [
"mse",
"mae"
]
}
}
},
"runtime_contract": {
"affine_leaf_shapes": {
"inputs/x0": [],
"inputs/x1": [],
"inputs/x2": [],
"outputs/y0": [],
"outputs/y1": []
},
"input_name_tree": [
"x0",
"x1",
"x2"
],
"io_pattern": "array->array",
"output_name_tree": [
"y0",
"y1"
]
},
"schema_version": 1,
"spec": {
"reference_scaling": {
"kind": "affine_v1",
"parametrization": "minmax",
"space": "runtime_tree_v1",
"storage": {
"filename": "reference_scaling.safetensors",
"format": "safetensors_v1",
"layout": "tree_minmax_v1"
}
},
"spec_version": 2,
"x": {
"meaning": [
"",
"",
""
],
"names": [
"x0",
"x1",
"x2"
],
"units": [
"",
"",
""
]
},
"y": {
"meaning": [
"",
""
],
"names": [
"y0",
"y1"
],
"units": [
"",
""
]
}
},
"tool": "astro_emulators_toolkit",
"weights_layout": "params_plus_model_state_v1"
}