| { | |
| "module_name": "cur_linear", | |
| "class_name": "CURLinear", | |
| "category": "compression", | |
| "family": "compression", | |
| "params": [ | |
| "in_features", | |
| "out_features", | |
| "rank", | |
| "bias", | |
| "method", | |
| "dtype", | |
| "device" | |
| ], | |
| "ops": [ | |
| "reshape", | |
| "linear", | |
| "view" | |
| ], | |
| "docstring": "Linear layer whose weight matrix is factorized via CUR cross-approximation:\nW \u2248 C @ U @ R\n- C in R^{out_features x rank}: selected columns of W\n- U in R^{rank x rank}: Moore-Penrose pseudo-inverse core matrix\n- R in R^{rank x in_features}: selected rows of W\n\nExecutes forward pass in factorized form:\ny = ((x @ R^T) @ U^T) @ C^T + bias", | |
| "rank": 32, | |
| "d_state": 1, | |
| "num_experts": 1, | |
| "top_k": 1, | |
| "sparsity_pct": 0.0, | |
| "bits": 4, | |
| "hash_val": 99168362477302272877579185487811989308 | |
| } |
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- 817 Bytes
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