python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# 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
from PIL import Image
import os
import os.path
import sys
if sys.version_info[0] == 2:
... | Adversarial-Continual-Learning-main | ACL-resnet/src/dataloaders/miniimagenet.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 os.path
import sys
import warnings
import urllib.request
if sys.version_info[0]... | Adversarial-Continual-Learning-main | ACL-resnet/src/dataloaders/datasets_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 utils
class Shared(torch.nn.Module):
def __init__(self,args):
super(Shared, self).__init__()... | Adversarial-Continual-Learning-main | ACL-resnet/src/networks/alexnet_acl.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
class Shared(torch.nn.Module):
def __init__(self,args):
super(Shared, self)... | Adversarial-Continual-Learning-main | ACL-resnet/src/networks/resnet_acl.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
class Private(torch.nn.Module):
def __init__(self, args):
super(Private, self).__init__()
... | Adversarial-Continual-Learning-main | ACL-resnet/src/networks/mlp_acl.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 utils
class Discriminator(torch.nn.Module):
def __init__(self,args,task_id):
super(Discrimina... | Adversarial-Continual-Learning-main | ACL-resnet/src/networks/discriminator.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 pickle
import numpy as np
import os
np.random.seed(1234)
# we want 500 for training, 100 for test for wach class
n = ... | Adversarial-Continual-Learning-main | data/split_miniimagenet.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, time, os
import numpy as np
import torch
import copy
import utils
from copy import deepcopy
from tqdm import tqd... | Adversarial-Continual-Learning-main | src/acl.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
from copy import deepcopy
import pickle
import time
import uuid
from subprocess import call
#####... | Adversarial-Continual-Learning-main | src/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 os,argparse,time
import numpy as np
from omegaconf import OmegaConf
import torch
import torch.backends.cudnn as cudnn... | Adversarial-Continual-Learning-main | src/main.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
from PIL import Image
import os
import os.path
import sys
if sys.version_info[0] == 2:... | Adversarial-Continual-Learning-main | src/dataloaders/cifar100.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 sys
if sys.version_info[0] == 2:
import cPickle as pickle
else:
import p... | Adversarial-Continual-Learning-main | src/dataloaders/mulitidatasets.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.
# https://github.com/pytorch/vision/blob/8635be94d1216f10fb8302da89233bd86445e449/torchvision/datasets/utils.py
import os
im... | Adversarial-Continual-Learning-main | src/dataloaders/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.
from __future__ import print_function
from PIL import Image
import os
import os.path
import sys
if sys.version_info[0] == 2:
... | Adversarial-Continual-Learning-main | src/dataloaders/miniimagenet.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
from PIL import Image
import torch
import numpy as np
import os.path
import sys
import ... | Adversarial-Continual-Learning-main | src/dataloaders/mnist5.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 sys, os
import numpy as np
from PIL import Image
import torch.utils.data as data
from torchvision import d... | Adversarial-Continual-Learning-main | src/dataloaders/pmnist.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 os.path
import sys
import warnings
import urllib.request
if sys.version_info[0]... | Adversarial-Continual-Learning-main | src/dataloaders/datasets_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 utils
class Shared(torch.nn.Module):
def __init__(self,args):
super(Shared, self).__init__()... | Adversarial-Continual-Learning-main | src/networks/alexnet_acl.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
class Private(torch.nn.Module):
def __init__(self, args):
super(Private, self).__init__()
... | Adversarial-Continual-Learning-main | src/networks/mlp_acl.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 utils
class Discriminator(torch.nn.Module):
def __init__(self,args,task_id):
super(Discrimina... | Adversarial-Continual-Learning-main | src/networks/discriminator.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.
"""
Wrapper script for launching a job on the fair cluster.
Sample usage:
python cluster_run.py --name=trial --setup=... | CausalSkillLearning-main | Experiments/cluster_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 headers import *
# Check if CUDA is available, set device to GPU if it is, otherwise use CPU.
use_cuda = torch.cuda.is... | CausalSkillLearning-main | Experiments/PolicyNetworks.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 mocap_processing, glob, numpy as np, os
from mocap_processing.motion.pfnn import Animation, BVH
from mocap_processing... | CausalSkillLearning-main | Experiments/Processing_MocapData.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 headers import *
class GridWorldDataset(Dataset):
# Class implementing instance of dataset class for gridworld data.... | CausalSkillLearning-main | Experiments/DataLoaders.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 headers import *
from PolicyNetworks import *
from Visualizers import BaxterVisualizer, SawyerVisualizer, ToyDataVisual... | CausalSkillLearning-main | Experiments/PolicyManagers.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 headers import *
def resample(original_trajectory, desired_number_timepoints):
original_traj_len = len(original_traje... | CausalSkillLearning-main | Experiments/RLUtils.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.
# Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514
import tensorflow as tf
import numpy... | CausalSkillLearning-main | Experiments/TFLogger.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 headers import *
class TestLoaderWithKwargs(unittest.TestLoader):
"""A test loader which allows to parse keyword ... | CausalSkillLearning-main | Experiments/TestClass.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 absolute_import
from __future__ import division
from __future__ import print_function
from headers i... | CausalSkillLearning-main | Experiments/MIME_DataLoader.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 absolute_import
from __future__ import division
from __future__ import print_function
from absl impo... | CausalSkillLearning-main | Experiments/Visualizers.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 absolute_import
from __future__ import division
from __future__ import print_function
from headers i... | CausalSkillLearning-main | Experiments/Roboturk_DataLoader.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 headers import *
import DataLoaders, MIME_DataLoader, Roboturk_DataLoader, Mocap_DataLoader
from PolicyManagers import ... | CausalSkillLearning-main | Experiments/Master.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 absolute_import
from __future__ import division
from __future__ import print_function
from headers i... | CausalSkillLearning-main | Experiments/Mocap_DataLoader.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 headers import *
class DMP():
# def __init__(self, time_steps=100, num_ker=25, dimensions=3, kernel_bandwidth=None,... | CausalSkillLearning-main | Experiments/DMP.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 numpy as np
import glob, os, sys, argparse
import torch, copy
from torch.utils.data import Dataset, DataLoader
from t... | CausalSkillLearning-main | Experiments/headers.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 numpy as np, glob, os
from IPython import embed
# Env list.
environment_names = ["SawyerPickPlaceBread","SawyerPic... | CausalSkillLearning-main | Experiments/Eval_RLRewards.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 mocap_processing.motion.pfnn import Animation, BVH
from basecode.render import glut_viewer as viewer
from basecode.rend... | CausalSkillLearning-main | Experiments/MocapVisualizationUtils.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 MocapVisualizationUtils
import threading, time, numpy as np
# bvh_filename = "/home/tanmayshankar/Research/Code/Cau... | CausalSkillLearning-main | Experiments/MocapVisualizationExample.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# Debugging cycle consistency transfer.
python Master.py --name=CTdebug --train=1 --setting=cycle_transfer --source_domain=ContinuousNonZero --target_domain=ContinuousNonZero --z_dimensions=64 --number_layers=5 --hidden_size=64 --data=ContinuousNonZero --training_pha... | CausalSkillLearning-main | Experiments/Code_Runs/CycleTransfer_Runs.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 headers import *
class GridWorldDataset(Dataset):
# Class implementing instance of dataset class for gridworld data.... | CausalSkillLearning-main | DataLoaders/GridWorld_DataLoader.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 absolute_import
from __future__ import division
from __future__ import print_function
from .headers ... | CausalSkillLearning-main | DataLoaders/MIME_Img_DataLoader.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 absolute_import
from __future__ import division
from __future__ import print_function
from .headers i... | CausalSkillLearning-main | DataLoaders/InteractiveDataLoader.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 absolute_import
from __future__ import division
from __future__ import print_function
from .headers ... | CausalSkillLearning-main | DataLoaders/Plan_DataLoader.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 headers import *
class GridWorldDataset(Dataset):
# Class implementing instance of dataset class for gridworld data.... | CausalSkillLearning-main | DataLoaders/SmallMaps_DataLoader.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 absolute_import
from __future__ import division
from __future__ import print_function
import sys
imp... | CausalSkillLearning-main | DataLoaders/RandomWalks.py |
CausalSkillLearning-main | DataLoaders/__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 __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .headers ... | CausalSkillLearning-main | DataLoaders/MIME_DataLoader.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.
"""
A convenience script to playback random demonstrations from
a set of demonstrations stored in a hdf5 file.
Arguments:
... | CausalSkillLearning-main | DataLoaders/RoboturkeExp.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 absolute_import
from __future__ import division
from __future__ import print_function
from __future__... | CausalSkillLearning-main | DataLoaders/Translation.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 numpy as np
import torch
import glob, cv2, os
from torch.utils.data import Dataset, DataLoader
from torchvision impor... | CausalSkillLearning-main | DataLoaders/headers.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 absolute_import
from __future__ import division
from __future__ import print_function
from .headers ... | CausalSkillLearning-main | DataLoaders/MIMEandPlan_DataLoader.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.
"""
# For both arms and grippers.
python -m SkillsfromDemonstrations.Experiments.UseSkillsRL.TrainZPolicyRL --train --tra... | CausalSkillLearning-main | DownstreamRL/TrainZPolicyRL.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 ..SkillNetwork.headers import *
from ..SkillNetwork.LSTMNetwork import LSTMNetwork, LSTMNetwork_Fixed
class PolicyNet... | CausalSkillLearning-main | DownstreamRL/PolicyNet.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 numpy as np
from IPython import embed
number_datapoints = 50000
number_timesteps = 25
x_array_dataset = np.zeros((n... | CausalSkillLearning-main | DataGenerator/DirectedContinuousTrajs.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 numpy as np
from IPython import embed
number_datapoints = 50000
number_timesteps = 20
x_array_dataset = np.zeros((n... | CausalSkillLearning-main | DataGenerator/ContinuousTrajs.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 numpy as np
from IPython import embed
number_datapoints = 50000
number_timesteps = 20
x_array_dataset = np.zeros((n... | CausalSkillLearning-main | DataGenerator/ContinuousNonZero.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 numpy as np
from IPython import embed
import matplotlib.pyplot as plt
#number_datapoints = 20
number_datapoints = 50... | CausalSkillLearning-main | DataGenerator/DeterministicGoalDirectedTraj.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 numpy as np
from IPython import embed
import matplotlib.pyplot as plt
number_datapoints = 1
# number_datapoints = 50... | CausalSkillLearning-main | DataGenerator/GoalDirectedTrajs.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 numpy as np, copy
from IPython import embed
import matplotlib.pyplot as plt
number_datapoints = 20
# number_datapoin... | CausalSkillLearning-main | DataGenerator/PolicyVisualizer.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 numpy as np
from IPython import embed
number_datapoints = 50000
number_timesteps = 25
x_array_dataset = np.zeros((n... | CausalSkillLearning-main | DataGenerator/DirectedContinuousNonZero.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 numpy as np, copy
from IPython import embed
import matplotlib.pyplot as plt
number_datapoints = 20
# number_datapoin... | CausalSkillLearning-main | DataGenerator/NewGoalDirectedTraj.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 numpy as np
from IPython import embed
import matplotlib.pyplot as plt
# number_datapoints = 20
number_datapoints = 5... | CausalSkillLearning-main | DataGenerator/SeparableTrajs.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import setup, find_packages
from setuptools.extension import Extension
from Cython.Build import cythonize
import numpy
extensi... | CPC_audio-main | setup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import torch
from cpc.model import CPCModel as cpcmodel
from cpc.cpc_default_config import get_default_cpc_config
from cpc.feat... | CPC_audio-main | hubconf.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torchaudio
import os
import json
import argparse
from .cpc_default_config import get_default_cpc_config
from .dataset impor... | CPC_audio-main | cpc/feature_loader.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import math
class ScaledDotProductAttention(nn.Module):
def __init__(self,
sizeSeq, ... | CPC_audio-main | cpc/transformers.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| CPC_audio-main | cpc/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch.nn.functional as F
import torchaudio
import torch
###########################################
# Networks
#... | CPC_audio-main | cpc/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import random
import time
import tqdm
import torch
import soundfile as sf
from pathlib import Path
from copy import deepcopy
from tor... | CPC_audio-main | cpc/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import numpy as np
import torch
import time
from copy import deepcopy
import random
import psutil
import ... | CPC_audio-main | cpc/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
import os
import cpc.feature_loader as fl
from .dataset import AudioBatchData, findAllSeqs, filterSeqs
from nose.t... | CPC_audio-main | cpc/unit_tests.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
def get_default_cpc_config():
parser = set_default_cpc_config(argparse.ArgumentParser())
return parser.parse_args([])... | CPC_audio-main | cpc/cpc_default_config.py |
# Copyright (c) Facebook, Inc. and its 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 numpy as np
import random
import torch
import sys
import psutil
from copy import deepcopy
from bisect import bisect_left
d... | CPC_audio-main | cpc/utils/misc.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| CPC_audio-main | cpc/utils/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
import os
from nose.tools import eq_, ok_
from .misc import SchedulerCombiner, ramp_scheduling_function
class T... | CPC_audio-main | cpc/utils/unit_tests.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
import torch.nn as nn
from numpy import prod
class Norma... | CPC_audio-main | cpc/criterion/custom_layers.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .criterion import CPCUnsupersivedCriterion, SpeakerCriterion, \
PhoneCriterion, NoneCriterion, CTCPhoneCriterion
| CPC_audio-main | cpc/criterion/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import progressbar
import torch
from multiprocessing import Lock, Manager, Process
from copy import deepcopy
def beam_search(score_preds, nKe... | CPC_audio-main | cpc/criterion/seq_alignment.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from .seq_alignment import collapseLabelChain
from .custom_layers import EqualizedLinear, EqualizedConv1d
... | CPC_audio-main | cpc/criterion/criterion.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import sys
import torch
import json
from pathlib import Path
import ABX.abx_group_computation as abx_g
import ABX.abx_iterators... | CPC_audio-main | cpc/eval/ABX.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import torchaudio
from copy import deepcopy
import torch
import time
import random
import math
import json
import sub... | CPC_audio-main | cpc/eval/common_voices_eval.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import json
import torch
import progressbar
import argparse
import numpy as np
from cpc.dataset import findAllSeqs
from cpc.feature_... | CPC_audio-main | cpc/eval/build_zeroSpeech_features.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import sys
import torch
import json
import time
import numpy as np
from pathlib import Path
from copy import deepcopy
import os... | CPC_audio-main | cpc/eval/linear_separability.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| CPC_audio-main | cpc/eval/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import progressbar
import math
import random
def normalize_with_singularity(x):
r"""
Normalize the given vector across t... | CPC_audio-main | cpc/eval/ABX/abx_iterators.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| CPC_audio-main | cpc/eval/ABX/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from nose.tools import eq_, ok_
from . import abx_group_computation
from . import abx_iterators
from pathlib impor... | CPC_audio-main | cpc/eval/ABX/unit_tests.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import math
from . import dtw
import progressbar
def get_distance_function_from_name(name_str):
if name_str == 'euclidian':
... | CPC_audio-main | cpc/eval/ABX/abx_group_computation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import torchaudio
import progressbar
import os
import sys
from pathlib import Path
def adjust_sample_rate(path_db, file_list,... | CPC_audio-main | cpc/eval/utils/adjust_sample_rate.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.
#
import os
import glob
import argparse
import numpy as np
import resampy
from scikits.audiolab impo... | 2.5D-Visual-Sound-main | reEncodeAudio.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.
import os
import time
import torch
from options.train_options import TrainOptions
from data.data_loa... | 2.5D-Visual-Sound-main | train.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.
import os
import librosa
import argparse
import numpy as np
from numpy import linalg as LA
from sci... | 2.5D-Visual-Sound-main | evaluate.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.
import os
import argparse
import librosa
import numpy as np
from PIL import Image
import subprocess
... | 2.5D-Visual-Sound-main | demo.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 .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self):
Base... | 2.5D-Visual-Sound-main | options/test_options.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 .base_options import BaseOptions
class TrainOptions(BaseOptions):
def initialize(self):
Bas... | 2.5D-Visual-Sound-main | options/train_options.py |
2.5D-Visual-Sound-main | options/__init__.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.
import argparse
import os
from util import util
import torch
class BaseOptions():
def __init__(sel... | 2.5D-Visual-Sound-main | options/base_options.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.
import os
def mkdirs(paths):
if isinstance(paths, list) and not isinstance(paths, str):
... | 2.5D-Visual-Sound-main | util/util.py |
2.5D-Visual-Sound-main | util/__init__.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.
import torch
import torchvision
from .networks import VisualNet, AudioNet, weights_init
class Model... | 2.5D-Visual-Sound-main | models/models.py |
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