repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
cymetric | cymetric-main/cymetric/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/pointgen/pointgen_toric.py | """
ToricPointGenerator module.
:Authors:
Fabian Ruehle <fabian.ruehle@cern.ch> and
Robin Schneider <robin.schneider@physics.uu.se>
"""
import numpy as np
import logging
import sympy as sp
import scipy.optimize as opt
from joblib import Parallel, delayed
import random
from cymetric.pointgen.nphelper import pr... | 20,677 | 43.952174 | 178 | py |
cymetric | cymetric-main/cymetric/pointgen/nphelper.py | """
A collection of various numpy helper functions.
"""
import os as os
import numpy as np
import pickle
import itertools as it
from sympy import LeviCivita
def get_levicivita_tensor(dim):
r"""Computes Levi-Civita tensor in dim dimensions.
Conventions are zero for same indices, 1 for even permutations
a... | 10,651 | 36.507042 | 122 | py |
cymetric | cymetric-main/cymetric/pointgen/pointgen_cicy.py | """
CICY PointGenerator.
:Authors:
Fabian Ruehle <fabian.ruehle@cern.ch> and
Robin Schneider <robin.schneider@physics.uu.se>
"""
import numpy as np
import logging
import sympy as sp
from sympy.geometry.util import idiff
import scipy.optimize as opt
from joblib import Parallel, delayed
from cymetric.pointgen.... | 27,534 | 43.197432 | 126 | py |
cymetric | cymetric-main/cymetric/pointgen/pointgen.py | """
Main PointGenerator module.
:Authors:
Fabian Ruehle <fabian.ruehle@cern.ch> and
Robin Schneider <robin.schneider@physics.uu.se>
"""
import numpy as np
import logging
import sympy as sp
from cymetric.pointgen.nphelper import prepare_basis_pickle, prepare_dataset, get_levicivita_tensor
from sympy.geometry.u... | 58,913 | 40.026462 | 149 | py |
cymetric | cymetric-main/cymetric/pointgen/pointgen_mathematica.py | """
Class to call Mathematica point generator.
Authors
-------
Fabian Ruehle fabian.ruehle@cern.ch
Robin Schneider robin.schneider@physics.uu.se
"""
import os
import pickle
import numpy as np
import sympy as sp
import decimal
import re
from wolframclient.evaluation import WolframLanguageSession
from wolframclient.la... | 20,128 | 47.975669 | 314 | py |
cymetric | cymetric-main/cymetric/pointgen/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/sage/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/sage/sagelib.py | # tested with Sage 9.x
from sage.all import *
import itertools
import numpy as np
import os
import pickle
def to_patch(fan, patch_index):
# given a fan and a desired patch_index = 0, 1, ..., number(dual_cones), returns the exponents of the homogeneous coordinates in that patch such that the product of the hom coo... | 9,082 | 43.307317 | 243 | py |
cymetric | cymetric-main/cymetric/models/tfmodels.py | """
A selection of custom tensorflow models for learning
Calabi-Yau metrics using neural networks.
"""
import tensorflow as tf
from cymetric.models.losses import sigma_loss
from cymetric.models.fubinistudy import FSModel
from cymetric.pointgen.nphelper import get_all_patch_degrees, compute_all_w_of_x, get_levicivita_... | 50,954 | 41.783375 | 236 | py |
cymetric | cymetric-main/cymetric/models/losses.py | """
Sigma loss function in tensorflow.
"""
import tensorflow as tf
def sigma_loss(kappa=1., nfold=3., flat=False):
r"""MA loss.
Args:
kappa (float): inverse volume of the CY given by weights. Defaults to 1.
nfold (float): dimension of the CY. Defaults to 3.
flat (bool): True if metric... | 2,940 | 34.433735 | 83 | py |
cymetric | cymetric-main/cymetric/models/callbacks.py | """
A collection of tensorflow callbacks.
"""
import tensorflow as tf
import numpy as np
from cymetric.models.measures import ricci_measure, sigma_measure, \
kaehler_measure_loss, transition_measure_loss, ricci_scalar_fn
tfk = tf.keras
sigma_measure_tf = tf.function(func=sigma_measure)
kaehler_measure_tf = tf.fun... | 14,605 | 38.158177 | 94 | py |
cymetric | cymetric-main/cymetric/models/fubinistudy.py | """
Pullbacked fubini study metric implemented as a tfk.model.
"""
import tensorflow as tf
import itertools as it
from cymetric.pointgen.nphelper import generate_monomials, get_levicivita_tensor
import numpy as np
tfk = tf.keras
class FSModel(tfk.Model):
r"""FSModel implements all underlying tensorflow routines ... | 37,282 | 44.027778 | 175 | py |
cymetric | cymetric-main/cymetric/models/tfhelper.py | """
A collection of various helper functions.
"""
import tensorflow as tf
def prepare_tf_basis(basis, dtype=tf.complex64):
r"""Casts each entry in Basis to dtype.
Args:
basis (dict): dictionary containing geometric information
dtype (_type_, optional): type to cast to. Defaults to tf.complex... | 4,556 | 40.807339 | 82 | py |
cymetric | cymetric-main/cymetric/models/measures.py | """
Various error measures for neural nets
representing (ricci flat) kaehler metrics.
"""
import tensorflow as tf
import sys
def sigma_measure(model, points, y_true):
r"""We compute the Monge Ampere equation
.. math::
\sigma = 1 / (\text{Vol}_\text{cy} n_p) \sum_i |1 - (\det(g) \text{Vol}_\text{cy... | 7,500 | 36.693467 | 126 | py |
cymetric | cymetric-main/cymetric/models/metrics.py | """
A bunch of custom metrics for the custom model.
Need to be declared separately otherwise .fit
throws an error, since they only take the loss values
and not y_pred, y_true as arguments.
"""
import tensorflow as tf
tfk = tf.keras
class SigmaLoss(tfk.metrics.Metric):
def __init__(self, name='sigma_loss', **kwa... | 6,649 | 32.585859 | 89 | py |
cymetric | cymetric-main/cymetric/models/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/potential/donaldson.py | """
Implementation of the Donaldson algorithm using numpy.
"""
import numpy as np
from joblib import Parallel, delayed
from cymetric.pointgen.nphelper import generate_monomials
from cymetric.models.fubinistudy import FSModel
import os as os
from scipy.special import factorial
import sympy as sp
from sympy.geometry.uti... | 29,386 | 44.702955 | 149 | py |
cymetric | cymetric-main/cymetric/potential/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/wolfram/mathematicalib.py | import numpy as np
import sys
import os
import re
import logging
import pickle
logging.basicConfig(stream=sys.stdout)
mcy_logger = logging.getLogger('mathematica')
from cymetric.pointgen.pointgen_mathematica import PointGeneratorMathematica, ToricPointGeneratorMathematica
from cymetric.pointgen.nphelper import prepare... | 15,916 | 38.7925 | 267 | py |
cymetric | cymetric-main/cymetric/wolfram/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/cymetric/bundle/hym_helper.py | import numpy as np
# ML packages
import tensorflow as tf
from cymetric.pointgen.nphelper import generate_monomials
print("The HYM helper can help you with finding a solution to the HYM equation.\
They have not been thoroughly tested and documented yet. Procceed on your \
own risk.")
@tf.function
def function... | 4,369 | 40.226415 | 80 | py |
cymetric | cymetric-main/cymetric/bundle/__init__.py | 0 | 0 | 0 | py | |
cymetric | cymetric-main/docs/source/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 2,791 | 34.794872 | 84 | py |
PnP-CASSI | PnP-CASSI-main/main.py | import os
import time
import math
import h5py
import numpy as np
import scipy.io as sio
import matplotlib.pyplot as plt
from statistics import mean
from numpy import *
from dvp_linear_inv_cassi import (gap_denoise, admm_denoise,
GAP_TV_rec, ADMM_TV_rec)
from utils import (A, At, psnr,shift,s... | 3,582 | 38.811111 | 78 | py |
PnP-CASSI | PnP-CASSI-main/utils.py | ''' Utilities '''
import math
import numpy as np
import scipy.io as sio
import cv2
def TV_denoiser(x, _lambda, n_iter_max):
dt = 0.25
N = x.shape
idx = np.arange(1,N[0]+1)
idx[-1] = N[0]-1
iux = np.arange(-1,N[0]-1)
iux[0] = 0
ir = np.arange(1,N[1]+1)
ir[-1] = N[1]-1
il = np.arange(-... | 3,921 | 30.126984 | 89 | py |
PnP-CASSI | PnP-CASSI-main/dvp_linear_inv_cassi.py | import time
import math
import numpy as np
from skimage.restoration import (denoise_tv_chambolle, denoise_bilateral,
denoise_wavelet, estimate_sigma)
from skimage.measure import (compare_psnr, compare_ssim)
from utils import (A, At, psnr, shift, shift_back,calculate_ssim,TV_denoiser)
# ... | 22,862 | 48.702174 | 261 | py |
PnP-CASSI | PnP-CASSI-main/hsi.py | import numpy as np
import torch.nn as nn
import torch
import torch.utils.data as data
from torch.optim import Adam
from torch.optim import lr_scheduler
from collections import OrderedDict
import os
import math
from torch.utils.data import DataLoader
import random
from torch.optim import Adam
def pixel_unshuffle(input,... | 2,852 | 31.793103 | 138 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import setup, find_packages
import sys
import subprocess
with open('README.md') as f... | 774 | 24 | 87 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/train_momentum.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import random
from datetime import date
from functools import partial
import numpy as np
import t... | 10,671 | 44.220339 | 236 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/encode_corpus.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Description: encode text corpus into a store of dense vectors.
Usage (adjust the batch size according to your GPU me... | 3,707 | 30.423729 | 127 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/end2end.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Efficient end2end QA with HNSW index
taskset --cpu-list 0-15 python end2end.py ../data/hotpot/ho... | 8,165 | 44.116022 | 251 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/train_mhop.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Description: train a multi-hop dense retrieval from pretrained BERT/RoBERTa encoder
Usage:
CUDA_VISIBLE_DEVICES=0,1... | 10,731 | 41.086275 | 269 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/demo.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import streamlit as st
import torch
import os
import numpy as np
from apex import amp
import faiss
import json
import argpa... | 7,262 | 40.741379 | 192 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/train_qa.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import collections
import json
import logging
import os
import random
from datetime import date
from functools import parti... | 21,946 | 44.251546 | 242 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/eval/eval_mhop_retrieval.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Evaluating trained retrieval model.
Usage:
python eval_mhop_retrieval.py ${EVAL_DATA} ${CORPUS_VECTOR_PATH} ${CORPUS_D... | 12,631 | 43.322807 | 159 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/eval/eval_mhop_fever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
python eval_mhop_fever.py /private/home/xwhan/data/fever/retrieval/dev_multi_evidence.txt index/fever.npy index/fever_c... | 8,812 | 49.073864 | 402 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/eval/eval_retrieval.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Single-hop retrieval evaluation
## Use the unified model (trained with both hotpotQA and NQ)
python eval_retrieval.p... | 9,540 | 44.650718 | 401 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/eval/eval_single_fever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
python eval_single_fever.py /private/home/xwhan/data/fever/retrieval/dev_single_evidence.txt index/fever_single.npy ind... | 5,252 | 41.707317 | 378 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/scripts/eval/eval_reranked.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import json
import numpy as np
from utils.utils import para_has_answer, normalize
from utils.basic_tokenizer import SimpleT... | 2,099 | 30.343284 | 130 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/submitit/submitit_train.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import uuid
import itertools
from typing import Dict
import submitit
from collections import I... | 4,031 | 35.654545 | 98 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/submitit/submitit_train_qa.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import uuid
import itertools
from typing import Dict
import submitit
from collections import I... | 4,658 | 37.825 | 98 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from . import qa
from . import retrieval | 239 | 25.666667 | 62 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/train_ranker.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import collections
import json
import logging
import os
import random
from datetime import date
from functools import parti... | 10,232 | 41.995798 | 170 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import sqlite3
import unicodedata
import collections
import logging
import re
def set_global_logging_level(le... | 13,636 | 33.350126 | 129 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/data_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import json
from tqdm import tqdm
import numpy as np
def explore(path):
train = json.load(open(path))
neg_counts... | 865 | 29.928571 | 83 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/config.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from ast import parse
from typing import NamedTuple
from torch.nn import parallel
class ClusterConfig(Nam... | 4,948 | 54.606742 | 115 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/basic_tokenizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python3
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed und... | 9,125 | 31.709677 | 80 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/qa_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import collections
import json
import random
import torch
from torch.utils.data import Dataset, Sampler
from tqdm import t... | 18,839 | 39.603448 | 179 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/qa_model.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from transformers import AutoModel, BertModel
import torch.nn as nn
from torch.nn import CrossEntropyLoss
import torch
imp... | 4,377 | 38.8 | 139 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
| 199 | 24 | 62 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/qa_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import os.path as osp
import random
from functools import partial
from pathlib import... | 19,844 | 46.589928 | 193 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/qa/hotpot_evaluate_v1.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import sys
import ujson as json
import re
import string
from collections import Counter
import pickle
def normalize_answer... | 4,454 | 31.757353 | 113 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/decomposed_analysis.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import json
def decomposed_errors():
top1_pred = [json.loads(l) for l in open("/private/home/xwhan/data/hotpot/dense_... | 5,525 | 32.695122 | 116 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/interactive_retrieval.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from models.mhop_retriever import MhopRetriever
import faiss
import numpy as np
import torch
from tqdm import tqdm
from t... | 2,527 | 36.731343 | 155 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/mhop_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
submitit trainer for hyperparameter tuning
"""
import os
import os.path as osp
from typing import Optional, NamedTupl... | 12,533 | 41.778157 | 190 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/criterions.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch.nn import CrossEntropyLoss
import torch.nn.functional as F
# def loss_single(model, batch, momentu... | 11,894 | 46.390438 | 185 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/train_single.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
# DPR baseline shared encoder
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python train_single.py \
--do_train \
--pre... | 13,227 | 38.369048 | 182 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/config.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from ast import parse
from typing import NamedTuple
class ClusterConfig(NamedTuple):
dist_backend: str... | 5,934 | 51.522124 | 123 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/single_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
trainer defined for submitit hyperparameter tuning
"""
import os
import os.path as osp
from typing import Optional, ... | 13,371 | 41.050314 | 150 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed unde... | 466 | 28.1875 | 62 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/models/retriever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
single hop retrieval models
"""
from transformers import AutoModel
import torch.nn as nn
import torch
class BertRetri... | 7,436 | 38.142105 | 178 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/models/unified_retriever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from transformers import AutoModel
import torch.nn as nn
import torch
class UnifiedRetriever(nn.Module):
def __init__... | 8,004 | 41.807487 | 152 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/models/hop1_retriever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from transformers import BertModel, BertConfig, BertPreTrainedModel
import torch.nn as nn
import torch
from torch.nn.parame... | 1,496 | 35.512195 | 109 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/models/mhop_retriever.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from torch import embedding
from transformers import AutoModel
import torch.nn as nn
import torch
class RobertaRetriever(... | 4,975 | 36.69697 | 148 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/utils/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import sqlite3
import unicodedata
def load_saved(model, path, exact=True):
try:
state_dict = torc... | 5,278 | 29.871345 | 137 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/utils/gen_index_id_map.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import json
mapping = {}
with open('../data/para_doc.db') as f_in:
for idx, line in enumerate(f_in):
sample = ... | 463 | 28 | 62 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/utils/basic_tokenizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python3
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed und... | 11,487 | 33.190476 | 80 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/utils/tokenizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (th... | 5,510 | 28.629032 | 79 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/utils/mhop_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import sys
import json
from tqdm import tqdm
import collections
import re
from collections import Counter
import string
fro... | 11,200 | 40.794776 | 243 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/unified_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from torch.utils.data import Dataset, Sampler
import torch
import json
import random
from .data_utils import collate_token... | 16,160 | 41.528947 | 184 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/encode_datasets.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import csv
import json
import pdb
import numpy as np
from torch.utils.data import Dataset
from tqdm import tqdm
import code... | 3,991 | 33.713043 | 163 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/mhop_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from torch.utils.data import Dataset
import json
import random
from .data_utils import collate_tokens
class MhopDataset(D... | 5,278 | 42.270492 | 146 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/data_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import collections
import pdb
import re
import string
def collate_tokens(values, pad_idx, eos_idx=None, left_pad=False, mo... | 9,089 | 37.033473 | 132 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
| 198 | 27.428571 | 62 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/fever_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from torch import normal
from torch.utils.data import Dataset
import torch
import json
import random
import unicodedata
imp... | 2,992 | 33.802326 | 146 | py |
multihop_dense_retrieval | multihop_dense_retrieval-main/mdr/retrieval/data/sp_datasets.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Dataset classes for NQ expeirments
"""
from torch.utils.data import Dataset
import json
import random
from .data_utils... | 13,614 | 37.678977 | 157 | py |
flaxformer | flaxformer-main/setup.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,963 | 29.215385 | 74 | py |
flaxformer | flaxformer-main/flaxformer/activation_partitioning_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,816 | 35.115385 | 80 | py |
flaxformer | flaxformer-main/flaxformer/param_conversion_util.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,812 | 35.064103 | 80 | py |
flaxformer | flaxformer-main/flaxformer/testing_utils_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 2,132 | 26.346154 | 79 | py |
flaxformer | flaxformer-main/flaxformer/testing_utils.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 7,432 | 33.253456 | 111 | py |
flaxformer | flaxformer-main/flaxformer/activation_partitioning.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 7,241 | 43.158537 | 129 | py |
flaxformer | flaxformer-main/flaxformer/transformer_common.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 5,500 | 40.674242 | 103 | py |
flaxformer | flaxformer-main/flaxformer/types.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 986 | 30.83871 | 74 | py |
flaxformer | flaxformer-main/flaxformer/sharding.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,440 | 30.94964 | 80 | py |
flaxformer | flaxformer-main/flaxformer/sharding_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 3,844 | 28.351145 | 78 | py |
flaxformer | flaxformer-main/flaxformer/__init__.py | 0 | 0 | 0 | py | |
flaxformer | flaxformer-main/flaxformer/transformer_common_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 5,809 | 35.540881 | 80 | py |
flaxformer | flaxformer-main/flaxformer/architectures/__init__.py | 0 | 0 | 0 | py | |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/components_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,429 | 31.5 | 76 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/dual_encoder_architecture_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 13,011 | 32.278772 | 105 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/l2_norm_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,333 | 31.536585 | 74 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/poolings_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 4,504 | 30.725352 | 80 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/dual_encoder_architecture.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 10,154 | 35.397849 | 93 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/similarity_functions.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 18,034 | 37.618844 | 105 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/components.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,925 | 32.206897 | 78 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/single_tower_logit_functions_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 1,483 | 34.333333 | 78 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/similarity_functions_test.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 7,770 | 33.847534 | 80 | py |
flaxformer | flaxformer-main/flaxformer/architectures/dual_encoder/poolings.py | # Copyright 2023 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 12,448 | 33.969101 | 105 | py |
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