|
|
|
@@ -1,4 +1,5 @@ |
|
|
|
import os |
|
|
|
import mkl |
|
|
|
import copy |
|
|
|
import torch |
|
|
|
import faiss |
|
|
|
@@ -11,14 +12,15 @@ from typing import Tuple, Any, List, Union, Dict |
|
|
|
|
|
|
|
from .base import BaseStatSpecification |
|
|
|
|
|
|
|
mkl.get_max_threads() |
|
|
|
|
|
|
|
|
|
|
|
class RKMESpecification: |
|
|
|
pass |
|
|
|
|
|
|
|
|
|
|
|
def setup_seed(seed): |
|
|
|
""" |
|
|
|
Fix a random seed for addressing reproducibility issues. |
|
|
|
"""Fix a random seed for addressing reproducibility issues. |
|
|
|
|
|
|
|
Parameters |
|
|
|
---------- |
|
|
|
@@ -33,8 +35,7 @@ def setup_seed(seed): |
|
|
|
|
|
|
|
|
|
|
|
def choose_device(cuda_idx=-1): |
|
|
|
""" |
|
|
|
Let users choose compuational device between CPU or GPU. |
|
|
|
"""Let users choose compuational device between CPU or GPU. |
|
|
|
|
|
|
|
Parameters |
|
|
|
---------- |
|
|
|
@@ -54,8 +55,7 @@ def choose_device(cuda_idx=-1): |
|
|
|
|
|
|
|
|
|
|
|
def torch_rbf_kernel(x1, x2, gamma) -> torch.Tensor: |
|
|
|
""" |
|
|
|
Use pytorch to compute rbf_kernel function at faster speed. |
|
|
|
"""Use pytorch to compute rbf_kernel function at faster speed. |
|
|
|
|
|
|
|
Parameters |
|
|
|
---------- |
|
|
|
@@ -78,8 +78,7 @@ def torch_rbf_kernel(x1, x2, gamma) -> torch.Tensor: |
|
|
|
|
|
|
|
|
|
|
|
def solve_qp(K: np.ndarray, C: np.ndarray): |
|
|
|
""" |
|
|
|
Solver for the following quadratic programming(QP) problem: |
|
|
|
"""Solver for the following quadratic programming(QP) problem: |
|
|
|
- min 1/2 x^T K x - C^T x |
|
|
|
s.t 1^T x - 1 = 0 |
|
|
|
- I x <= 0 |
|
|
|
|