python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
|---|---|---|
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from copy import deepcopy
import numpy as np
import torch
from botorch.utils.sampling import draw_sobol_samples
import sys
sys.path.append('..')
from plot_config import *
from problems import DiscrimLowDim
from aepsych.models.gp_classificat... | bernoulli_lse-main | figures/plot_posteriors.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import pandas as pd
from pathlib import Path
import matplotlib.pyplot as plt
import sys
sys.path.append("..")
from plot_config import *
# need cameraready for original thresh
rundata = list(Path("../data/cameraready/").glo... | bernoulli_lse-main | figures/plot_thresh_sensitivity_results.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import pickle
import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('..')
from plot_config import *
from plot_experiment_results import compile_results, run_data
def make_figure():
res, itrs = compile_results(r... | bernoulli_lse-main | figures/plot_edge_sampling.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import pandas as pd
import sys
from pathlib import Path
import matplotlib.pyplot as plt
sys.path.append('..')
from plot_config import *
import re
run_data = list(Path("../data/cameraready/").glob("*out.csv"))
def compile... | bernoulli_lse-main | figures/plot_experiment_results.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import sys
sys.path.append("..")
from pathlib import Path
from plot_config import *
# need cameraready for init=10
rundata = list(Path("../data/cameraready/").glob("*out.c... | bernoulli_lse-main | figures/plot_init_sensitivity_results.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from datetime import datetime
"""
Develop an experiment that measures and combination of the following features:
spatial_frequency
temporal_frequency
mean_luminance
eccentricity
field_angle
orientation
"""
constants = dict(
savefolder=".... | bernoulli_lse-main | human_data_collection/config.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import torch
from aepsych.server import AEPsychServer
from psychopy import core, data, event, gui, monitors, visual
from contrast_discrimination import config
from contrast_discrimination.helpers import HalfGrating
class Se... | bernoulli_lse-main | human_data_collection/experiment.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
from psychopy.visual.image import ImageStim
from psychopy import core, event
import pyglet
pyglet.options["debug_gl"] = False
GL = pyglet.gl
def polar_to_cartesian(r, theta):
z = r * np.exp(1j * np.radians(theta))
... | bernoulli_lse-main | human_data_collection/helpers.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from data import NL2BashDataset
from collectors import CollectorWithInfo
import argparse
if __name__ == "__main__":
dataset = NL2BashDataset()
parser = argparse.ArgumentParser()
parser.add_argument("--num_seeds", type=int, default=25)
parser.add_ar... | coder_reviewer_reranking-main | collect_nl2bash.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from pathlib import Path
import os
from glob import glob
from argparse import ArgumentParser
import html
import json
from utils import *
from tqdm import tqdm, trange
from data import HumanEvalDataset, rindex, extract_docstring
from functools import partial
from pym... | coder_reviewer_reranking-main | zeroshot_reviewer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import argparse
import copy
import json
import openai
import os
import pickle
import random
import signal
import time
from glob import glob
from nltk.translate.bleu_score import sentence_bleu
from tqdm import tqdm, trange
import re
codex_name_mapping = {
"codex... | coder_reviewer_reranking-main | collectors.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from data import SpiderDataset
from collectors import CollectorWithInfo
import argparse
if __name__ == "__main__":
dataset = SpiderDataset()
parser = argparse.ArgumentParser()
parser.add_argument("--num_seeds", type=int, default=25)
parser.add_argu... | coder_reviewer_reranking-main | collect_spider.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import bashlex
import json
import os
import pickle
import regex
import signal
import subprocess
import tempfile
import threading
from datasets import load_metric
from glob import glob
from nltk.translate.bleu_score import sentence_bleu
from tqdm import tqdm
from dat... | coder_reviewer_reranking-main | execution.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import argparse
import data
from collectors import CollectorWithInfo
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--info-mode",
type=str,
default="assertion",
choices=["function_name",... | coder_reviewer_reranking-main | collect_mbpp.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import shutil
import torch
from pathlib import Path
import os
from glob import glob
from argparse import ArgumentParser
from tqdm import tqdm, trange
import torch.distributed as dist
from execution import (
execute_humaneval_folder_one,
execute_mbpp_google_f... | coder_reviewer_reranking-main | multi_exec.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from tqdm import tqdm
import os
import sqlite3
import pickle as pkl
# CONSTANT
db_dir = "./dataset/spider/database/"
# preloading spider data to reduce io
from dataset.spider_official.evaluation import (
build_foreign_key_map_from_json,
build_valid_col_unit... | coder_reviewer_reranking-main | exec_spider_gold.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
################################
# Assumptions:
# 1. sql is correct
# 2. only table name has alias
# 3. only one intersect/union/except
#
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (unit_op, col_unit1,... | coder_reviewer_reranking-main | process_sql.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
################################
# val: number(float)/string(str)/sql(dict)
# col_unit: (agg_id, col_id, isDistinct(bool))
# val_unit: (unit_op, col_unit1, col_unit2)
# table_unit: (table_type, col_unit/sql)
# cond_unit: (not_op, op_id, val_unit, val1, val2)
# condi... | coder_reviewer_reranking-main | utils_sql.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from time import sleep
import os
import random
import openai
import re
import json
def safe_codex_call(
args, api_text, temperature=None, stop=None, echo=False, max_tokens=256, api_i=0
):
temperature = temperature if temperature else args.temperature
w... | coder_reviewer_reranking-main | utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import keyword, sys
from pyminifier import analyze
from pyminifier.minification import remove_comments_and_docstrings, remove_blank_lines
import re
RESERVED_WORDS = keyword.kwlist + analyze.builtins
def clean_comment(code):
code = remove_comments_and_docstrin... | coder_reviewer_reranking-main | pyminifier_canonicalize.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import os
import tempfile
from datasets import load_metric
from tqdm import tqdm
import pickle as pkl
from data import MBPPGoogleDataset
from execution import Command
import sys
from utils import time_limit
""" dataset keys: src, trg_prediction, reference """
de... | coder_reviewer_reranking-main | evaluate.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import bashlex
import collections
import json
import pickle
import numpy as np
import os
import random
from glob import glob
from nltk.translate.bleu_score import sentence_bleu
from evaluate import (
evaluate_charbleu,
evaluate_google_mbpp,
evaluate_spid... | coder_reviewer_reranking-main | sample_selectors.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
from pathlib import Path
import os
from glob import glob
from argparse import ArgumentParser
import html
import json
from utils import *
from tqdm import tqdm, trange
from functools import partial
from utils import write_jsonl, parse_prompt, make_new_context
from py... | coder_reviewer_reranking-main | fewshot_reviewer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import argparse
import data
from collectors import CollectorWithInfo
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--info-mode",
type=str,
default="assertion",
choices=["function_name",... | coder_reviewer_reranking-main | collect_zeroshot.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
import collections
import json
import os
import regex
class NL2BashDataset(object):
def __init__(self, path="dataset/nl2bash/data/bash"):
self.data = collections.defaultdict()
for split in ["train", "dev", "test"]:
nls = [x.strip() ... | coder_reviewer_reranking-main | data.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 torchvision import datasets, transforms
from torch.utils.data.sampler import RandomSampler
import torchvision
import t... | deep-variance-reduction-main | cifar_wrapper.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 __future__ import print_function
import argparse
import pickle
import os
import time
from timeit import default_timer ... | deep-variance-reduction-main | run.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.optim.optimizer import Optimizer, required
import torch
import pdb
import pickle
import math
import logging
clas... | deep-variance-reduction-main | scsg.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.optim.optimizer import Optimizer, required
import torch
import pdb
import pickle
import math
import logging
clas... | deep-variance-reduction-main | recompute_svrg.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 torch.multiprocessing as multiprocessing
#from torch._C import _update_worker_pids, \
# _remove_work... | deep-variance-reduction-main | UpdatedDataLoaderMult.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 __future__ import print_function
import argparse
import pickle
import os
from timeit import default_timer as timer
imp... | deep-variance-reduction-main | diagnostics.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 torchvision import datasets, transforms
from torch.utils.data.sampler import RandomSampler
import torchvision
import t... | deep-variance-reduction-main | imagenet_wrapper.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 torch.nn as nn
import torch.nn.functional as F
import math
import pdb
__all__ = ['densenet']
from tor... | deep-variance-reduction-main | densenet.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 __future__ import print_function
import argparse
import pickle
import os
from timeit import default_timer as timer
imp... | deep-variance-reduction-main | run_vr.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 pdb
import os
class VRSamplerIter(object):
def __init__(self, sampler):
self.sampler = sam... | deep-variance-reduction-main | vr_sampler.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.optim.optimizer import Optimizer, required
import torch
import pdb
import pickle
import math
import logging
impor... | deep-variance-reduction-main | torch_svrg.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.optim as optim
import torch_svrg
import recompute_svrg
import scsg
def optimizer(model, args):
print("Usin... | deep-variance-reduction-main | optimizers.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 torch.nn as nn
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet... | deep-variance-reduction-main | resnext.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 torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import datasets, transforms
fr... | deep-variance-reduction-main | problems.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 numbers
import math
import random
from PIL import Image, ImageOps, ImageEnhance
import numpy as np
import numbers
im... | deep-variance-reduction-main | caching_transforms.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.
'''ResNet in PyTorch.
from
https://github.com/kuangliu/pytorch-cifar/blob/master/models/resnet.py
based on
https://github.co... | deep-variance-reduction-main | resnet.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 torch.multiprocessing as multiprocessing
from torch.utils.data.sampler import SequentialSampler, RandomS... | deep-variance-reduction-main | UpdatedDataLoader.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 math import atan2,degrees
import numpy as np
#Label line with line2D label data
def labelLine(line,x,label=None,align=... | deep-variance-reduction-main | reproduce/label_lines.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 sys
import run
methods = ["sgd", "recompute_svrg", "scsg"]
try:
pindex = int(sys.argv[1])
seed = i... | deep-variance-reduction-main | reproduce/reproduce_test_error_imagenet_next.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 sys
import run
archs = ['default', 'densenet-40-36']
try:
pindex = int(sys.argv[1])
print(f"probl... | deep-variance-reduction-main | reproduce/reproduce_iterate_distance.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 sys
import run
vr_froms = [1, 21, 41, 61, 81, 1234]
try:
pindex = int(sys.argv[1])
print(f"proble... | deep-variance-reduction-main | reproduce/reproduce_finetuning.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 __future__ import print_function
import pickle
import glob
import os
import pdb
import math
import numpy as np
import ... | deep-variance-reduction-main | reproduce/plot_finetuning.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 sys
import run
archs = ['default', 'resnet-small', 'densenet-40-36', 'resnet110']
try:
pindex = int(s... | deep-variance-reduction-main | reproduce/reproduce_ratio_plots.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 __future__ import print_function
import pickle
import glob
import os
import re
import numpy as np
import itertools
imp... | deep-variance-reduction-main | reproduce/plot_iterate_distance.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 sys
import run
methods = ["sgd", "recompute_svrg", "scsg"]
try:
pindex = int(sys.argv[1])
seed = i... | deep-variance-reduction-main | reproduce/reproduce_test_error_imagenet.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 sys
import run
methods = ["sgd", "recompute_svrg", "scsg"]
try:
pindex = int(sys.argv[1])
seed = i... | deep-variance-reduction-main | reproduce/reproduce_test_error_resnet110.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 __future__ import print_function
import pickle
import glob
import os
import pdb
import matplotlib as mpl
mpl.use('agg'... | deep-variance-reduction-main | reproduce/plot_test_error_with_bars.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 sys
import run
methods = ["sgd", "recompute_svrg", "scsg"]
try:
pindex = int(sys.argv[1])
seed = i... | deep-variance-reduction-main | reproduce/reproduce_test_error_lenet.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 __future__ import print_function
import pickle
import glob
import os
import re
import matplotlib.ticker as plticker
im... | deep-variance-reduction-main | reproduce/plot_variance_ratio.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 sys
import run
transform_locking = [True, False]
try:
pindex = int(sys.argv[1])
print(f"problem i... | deep-variance-reduction-main | reproduce/reproduce_locking_plot.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 __future__ import print_function
import pickle
import glob
import os
import pdb
import matplotlib as mpl
mpl.use('agg'... | deep-variance-reduction-main | reproduce/plot_test_error.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 __future__ import print_function
import pickle
import glob
import os
import re
import numpy as np
import itertools
imp... | deep-variance-reduction-main | reproduce/plot_transform_locking.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
class Fab_HDD():
def __init__(self, config="BarraCuda"):
###############################
# Carbo... | ACT-main | hdd_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
class Fab_Logic():
def __init__(self, process_node=14,
gpa="97",
c... | ACT-main | logic_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
from dram_model import Fab_DRAM
from ssd_model import Fab_SSD
from logic_model import Fab_Logic
def main():
... | ACT-main | model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
class Fab_DRAM():
def __init__(self, config = "ddr4_10nm", fab_yield=0.875):
#########################... | ACT-main | dram_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
class Fab_SSD():
def __init__(self, config="nand_10nm", fab_yield=0.875):
##############################... | ACT-main | ssd_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
from dram_model import Fab_DRAM
from hdd_model import Fab_HDD
from ssd_model import Fab_SSD
from logic_model impo... | ACT-main | exps/dellr740/dellr740.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import sys
from dram_model import Fab_DRAM
from hdd_model import Fab_HDD
from ssd_model import Fab_SSD
from logic_model impo... | ACT-main | exps/fairphone3/fairphone3.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 time
import faiss
import numpy as np
from PIL import Image
from PIL import ImageFile
from scipy.sparse import csr_matrix... | deepcluster-main | clustering.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 pickle
import numpy as np
import torch
from torch.utils.data.sampler import Sampler
import models
def load_... | deepcluster-main | util.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 collections import OrderedDict
import os
import pickle
import subprocess
import sys
import numpy as np
f... | deepcluster-main | eval_retrieval.py |
deepcluster-main | __init__.py | |
# Copyright (c) 2017-present, Facebook, Inc.
# 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
# -*- coding: utf-8 -*-
import argparse
import os
import math
import time
import glob
from collections im... | deepcluster-main | eval_voc_classif.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 os
import pickle
import time
import faiss
import numpy as np
from sklearn.metrics.cluster import normali... | deepcluster-main | main.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 os
import time
import numpy as np
import torch
import torch.nn as nn
import torch.backends.cudnn as cud... | deepcluster-main | eval_linear.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 os
from scipy.ndimage.filters import gaussian_filter
import sys
import numpy as np
from PIL import Image... | deepcluster-main | visu/gradient_ascent.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 os
from shutil import copyfile
import sys
import numpy as np
from PIL import Image
import torch
import t... | deepcluster-main | visu/activ-retrieval.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 .vgg16 import *
from .alexnet import *
| deepcluster-main | models/__init__.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 torch.nn as nn
import math
from random import random as rd
__all__ = [ 'VGG', 'vgg16']
class VGG(nn.Modul... | deepcluster-main | models/vgg16.py |
# Copyright (c) 2017-present, Facebook, Inc.
# 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 math
import numpy as np
import torch
import torch.nn as nn
__all__ = [ 'AlexNet', 'alexnet']
# (number of filters, ke... | deepcluster-main | models/alexnet.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 csv
from pathlib import Path
import pandas as pd
XX_EN_LANGUAGES = {
"1": ["fr", "de", ... | covost-main | get_covost_splits.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 os
import os.path as op
import urllib.request
from tqdm import tqdm
LANG_CODE_2_TO_3 = {
'fr'... | covost-main | get_tt_speech.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
### useage ###
# (run w/ gpu): python dempStream.py --tx_cuda 1 --rx_cuda... | AudioDec-main | demoStream.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
### useage ###
# (run w/ gpu): python demoFile.py --model libritts_v1 -i ... | AudioDec-main | demoFile.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
import os... | AudioDec-main | codecStatistic.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
import os... | AudioDec-main | codecTrain.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
import os... | AudioDec-main | codecTest.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2021 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""Adversarial loss modules."""
import torch
import torch.nn.functional as F
class GeneratorAdversarialLoss(torch.nn.Module):
"""Generator adversarial loss module."""
def __i... | AudioDec-main | losses/adversarial_loss.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""STFT-b... | AudioDec-main | losses/stft_loss.py |
from .adversarial_loss import * # NOQA
from .feat_match_loss import * # NOQA
from .mel_loss import * # NOQA
from .stft_loss import * # NOQA
from .waveform_loss import * # NOQA | AudioDec-main | losses/__init__.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Mel-sp... | AudioDec-main | losses/mel_loss.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
"""Waveform-based loss modules."""
import torch
class WaveformShapeLos... | AudioDec-main | losses/waveform_loss.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2021 Tomoki Hayashi
# MIT License (https://opensource.org/licenses/MIT)
"""Feature matching loss modules."""
import torch
import torch.nn.functional as F
class FeatureMatchLoss(torch.nn.Module):
"""Feature matching loss module."""
def __init__(
... | AudioDec-main | losses/feat_match_loss.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Convol... | AudioDec-main | layers/conv_layer.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/lucidrains/vector-quantize-pytorch/)
""... | AudioDec-main | layers/vq_module.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Testin... | AudioDec-main | bin/test.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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 abc
import yaml
import time
import queue
import threadin... | AudioDec-main | bin/stream.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
"""Utility modules."""
import os
import yaml
def load_config(checkpoi... | AudioDec-main | bin/utils.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""Traini... | AudioDec-main | bin/train.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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 torch
from typing import Union
from models.autoencoder.A... | AudioDec-main | utils/audiodec.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
"""Utility modules."""
def check_mode(mode, method):
stream_modes =... | AudioDec-main | models/utils.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://github.com/kan-bayashi/ParallelWaveGAN/)
"""AudioD... | AudioDec-main | models/autoencoder/AudioDec.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Reference (https://ieeexplore.ieee.org/document/9625818)
"""Decoder m... | AudioDec-main | models/autoencoder/modules/decoder.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and 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 layers.vq_module import ResidualVQ
class Quantizer(t... | AudioDec-main | models/autoencoder/modules/quantizer.py |
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