torch-dimensions / viewer /src /samples /vit_joint.json
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{
"format": "torch-dimensions/architecture",
"io": {
"cells_per_step": 64,
"input": [
"B",
8,
8,
96
],
"output": [
"B",
8,
8,
96
]
},
"lattice": {
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{
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"name": "row",
"size": 8
},
{
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"name": "col",
"size": 8
}
],
"cells": {
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"present": 64,
"present_rle": [
0,
64
],
"total": 64
},
"n_axes": 2,
"names": [
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"col"
],
"rank": 2,
"shape": [
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8
],
"time": false
},
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"tokens": 64
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{
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{
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},
{
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},
{
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},
{
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],
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"kind": "flatten",
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"mixer": "AttentionMixer",
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"tokens": 64
}
],
"model": {
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"d_model": 96,
"kind": "ViT",
"n_layers": 6,
"n_params": 454368
},
"nd_method": {
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"name": "Flatten"
},
"sweeps": {
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"coverage": null,
"directions": {},
"joint_axes": [
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"col"
],
"pinned_axes": [],
"unswept_axes": []
},
"version": 2
}