repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
unbalanced-ot-functionals | unbalanced-ot-functionals-master/examples/plan_marginal_impact_reach.py | import os
import torch
import numpy as np
import matplotlib.pyplot as plt
from unbalancedot.utils import euclidean_cost
from unbalancedot.sinkhorn import BatchVanillaSinkhorn
from unbalancedot.entropy import KullbackLeibler, TotalVariation
path = os.getcwd() + "/output"
if not os.path.isdir(path):
os.mkdir(path)... | 2,653 | 26.936842 | 78 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/examples/plan_marginal_v2.py | import os
import torch
import numpy as np
import matplotlib.pyplot as plt
from unbalancedot.utils import euclidean_cost
from unbalancedot.sinkhorn import BatchVanillaSinkhorn
from unbalancedot.entropy import (
KullbackLeibler,
Balanced,
TotalVariation,
Range,
PowerEntropy,
)
path = os.getcwd() + ... | 3,020 | 25.973214 | 90 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/examples/plot_unb_gradient_flows_2D_waffle.py | import os
import time
import numpy as np
from random import choices
import imageio
from matplotlib import pyplot as plt
from functools import partial
import torch
from unbalancedot.functional import regularized_ot, hausdorff_divergence, \
sinkhorn_divergence
from unbalancedot.sinkhorn import BatchVanillaSinkhorn
... | 8,117 | 38.028846 | 79 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/examples/plot_unb_gradient_flows_2D_frame_v2.py | import os
import numpy as np
from random import choices
import imageio
from matplotlib import pyplot as plt, use
from functools import partial
from sympy import EX
import torch
from unbalancedot.functional import regularized_ot, hausdorff_divergence, \
sinkhorn_divergence
from unbalancedot.sinkhorn import BatchVa... | 6,514 | 35.396648 | 79 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/sinkhorn.py | import torch
import numpy as np
from .utils import softmin, exp_softmin
class SinkhornSolver(object):
def sinkhorn_asym(
self, a_i, x_i, b_j, y_j, p, entropy, f_i=None, g_j=None
):
"""Computes the Sinkhorn algorithm for two different measures"""
raise NotImplementedError
def sinkh... | 8,837 | 34.211155 | 76 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/functional.py | import torch
from .entropy import TotalVariation, Range
from .sinkhorn import BatchVanillaSinkhorn
from .utils import dist_matrix
def regularized_ot(
a,
x,
b,
y,
cost,
entropy,
solver=BatchVanillaSinkhorn(
nits=100, nits_grad=5, tol=1e-3, assume_convergence=True
),
):
f_x, ... | 2,846 | 29.287234 | 78 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/utils.py | import torch
def scal(a, f):
return torch.sum(a * f, dim=1)
def check_cost_consistency(x, y, C):
mask = (
(x.size()[0] == C.size()[0])
& (x.size()[1] == C.size()[1])
& (y.size()[2] == C.size()[2])
)
if not mask:
raise Exception(
"Dimension of cost C incons... | 3,021 | 25.743363 | 79 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/entropy.py | import torch
from .torch_lambertw import log_lambertw
from .utils import scal, convolution
# TODO: Add multiscale exponential version of the KL projections
class Entropy(object):
"""
Object that defines the required modules for entropy functions.
"""
def entropy(self, x):
"""Pointwise entrop... | 17,940 | 28.556837 | 79 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/torch_lambertw.py | import torch
def log_lambertw(x):
"""
Computes the Lambert function via Halley algorithm which converges
cubically.
The initialization is performed with a local approximation.
"""
z = init_lambertw(x)
eps = torch.finfo(x.dtype).eps
def a(w):
return (w * ((w + eps).log() + w - ... | 928 | 22.820513 | 78 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/tests/test_lambertw.py | # import torch
# import numpy as np
# import scipy.special.lambertw as lambertw
# from unbalancedot.torch_lambertw import log_lambertw
#
# torch.manual_seed(0)
#
#
# def test_log_lambertw():
# input = np.array(
# [-10000, -500.0, -100.0, -5.0, -2.0, 0.0, 1.0, 5.0, 500.0]
# )
# control = np.real(lamb... | 468 | 28.3125 | 73 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/tests/test_functional.py | import pytest
import torch
from unbalancedot.functional import (
regularized_ot,
hausdorff_divergence,
sinkhorn_divergence,
energyDistance,
)
from unbalancedot.sinkhorn import BatchVanillaSinkhorn
from unbalancedot.entropy import (
KullbackLeibler,
Balanced,
TotalVariation,
Range,
... | 5,326 | 29.267045 | 76 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/tests/test_cuda.py | # import pytest
#
# import torch
# from unbalancedot.functional import sinkhorn_divergence
# from unbalancedot.sinkhorn import BatchVanillaSinkhorn
# from unbalancedot.entropy import (
# KullbackLeibler,
# Balanced,
# TotalVariation,
# Range,
# PowerEntropy,
# )
# from unbalancedot.utils import gene... | 1,144 | 27.625 | 76 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/tests/test_gradient.py | import pytest
import torch
from unbalancedot.functional import regularized_ot, sinkhorn_divergence
from unbalancedot.sinkhorn import BatchVanillaSinkhorn, BatchExpSinkhorn
from unbalancedot.entropy import (
KullbackLeibler,
Balanced,
TotalVariation,
Range,
PowerEntropy,
)
from unbalancedot.utils i... | 9,423 | 29.697068 | 78 | py |
unbalanced-ot-functionals | unbalanced-ot-functionals-master/unbalancedot/tests/test_sinkhorn.py | import pytest
import torch
from unbalancedot.sinkhorn import (
BatchVanillaSinkhorn,
BatchScalingSinkhorn,
BatchExpSinkhorn,
)
from unbalancedot.entropy import (
KullbackLeibler,
Balanced,
TotalVariation,
Range,
PowerEntropy,
)
from unbalancedot.utils import generate_measure, euclidean... | 10,131 | 30.271605 | 79 | py |
torch-cam | torch-cam-main/setup.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
import os
from pathlib import Path
from setuptools import setup
PKG_NAME = "torchcam"
VERSION = os.getenv(... | 696 | 26.88 | 94 | py |
torch-cam | torch-cam-main/.github/verify_labels.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
"""
Borrowed & adapted from https://github.com/pytorch/vision/blob/main/.github/process_commit.py
This script... | 2,529 | 28.418605 | 114 | py |
torch-cam | torch-cam-main/.github/collect_env.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
"""
Based on https://github.com/pytorch/pytorch/blob/master/torch/utils/collect_env.py
This script outputs re... | 9,883 | 29.2263 | 103 | py |
torch-cam | torch-cam-main/scripts/eval_perf.py | # Copyright (C) 2022-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
"""
CAM performance evaluation
"""
import argparse
import math
import os
from functools import partial
impo... | 3,349 | 33.536082 | 118 | py |
torch-cam | torch-cam-main/scripts/eval_latency.py | # Copyright (C) 2021-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
"""
CAM latency benchmark
"""
import argparse
import time
import numpy as np
import torch
from torchvision ... | 2,482 | 32.554054 | 108 | py |
torch-cam | torch-cam-main/scripts/cam_example.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
"""
CAM visualization
"""
import argparse
import math
from io import BytesIO
import matplotlib.pyplot as pl... | 4,911 | 33.591549 | 116 | py |
torch-cam | torch-cam-main/tests/test_methods_activation.py | import pytest
import torch
from torchvision.models import mobilenet_v2
from torchcam.methods import activation
def test_base_cam_constructor(mock_img_model):
model = mobilenet_v2(pretrained=False).eval()
for p in model.parameters():
p.requires_grad_(False)
# Check that multiple target layers is d... | 3,806 | 39.5 | 107 | py |
torch-cam | torch-cam-main/tests/test_methods_utils.py | from torchvision.models import mobilenet_v3_large, resnet18
from torchcam.methods import _utils
def test_locate_candidate_layer(mock_img_model):
# ResNet-18
mod = resnet18().eval()
for p in mod.parameters():
p.requires_grad_(False)
assert _utils.locate_candidate_layer(mod) == "layer4"
# ... | 1,008 | 26.27027 | 73 | py |
torch-cam | torch-cam-main/tests/conftest.py | from io import BytesIO
import pytest
import requests
import torch
from PIL import Image
from torch import nn
from torchvision.transforms.functional import normalize, resize, to_tensor
@pytest.fixture(scope="session")
def mock_img_tensor():
try:
# Get a dog image
URL = "https://www.woopets.fr/asse... | 2,201 | 24.310345 | 96 | py |
torch-cam | torch-cam-main/tests/test_methods_gradient.py | import pytest
import torch
from torch import nn
from torchvision.models import mobilenet_v2
from torchcam.methods import gradient
def _verify_cam(activation_map, output_size):
# Simple verifications
assert isinstance(activation_map, torch.Tensor)
assert activation_map.shape == output_size
assert not ... | 4,044 | 35.116071 | 115 | py |
torch-cam | torch-cam-main/tests/test_methods_core.py | import pytest
import torch
from torchcam.methods import core
def test_cam_constructor(mock_img_model):
model = mock_img_model.eval()
# Check that wrong target_layer raises an error
with pytest.raises(ValueError):
core._CAM(model, "3")
# Wrong types
with pytest.raises(TypeError):
... | 3,787 | 28.826772 | 82 | py |
torch-cam | torch-cam-main/tests/test_metrics.py | from functools import partial
import torch
from torchvision.models import mobilenet_v3_small
from torchcam import metrics
from torchcam.methods import LayerCAM
def test_classification_metric():
model = mobilenet_v3_small(pretrained=False)
with LayerCAM(model, "features.12") as extractor:
metric = me... | 707 | 29.782609 | 88 | py |
torch-cam | torch-cam-main/tests/test_utils.py | import numpy as np
from PIL import Image
from torchcam import utils
def test_overlay_mask():
img = Image.fromarray(np.zeros((4, 4, 3)).astype(np.uint8))
mask = Image.fromarray(255 * np.ones((4, 4)).astype(np.uint8))
overlayed = utils.overlay_mask(img, mask, alpha=0.7)
# Check object type
assert... | 538 | 27.368421 | 66 | py |
torch-cam | torch-cam-main/demo/app.py | # Copyright (C) 2021-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
from io import BytesIO
import matplotlib.pyplot as plt
import requests
import streamlit as st
import torch
f... | 4,741 | 33.362319 | 120 | py |
torch-cam | torch-cam-main/torchcam/utils.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
import numpy as np
from matplotlib import cm
from PIL import Image
def overlay_mask(img: Image.Image, mask:... | 1,706 | 34.5625 | 112 | py |
torch-cam | torch-cam-main/torchcam/metrics.py | # Copyright (C) 2022-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
from typing import Callable, Dict, Union, cast
import torch
from .methods.core import _CAM
class Classifi... | 4,824 | 35.007463 | 115 | py |
torch-cam | torch-cam-main/torchcam/__init__.py | from torchcam import methods, metrics, utils
try:
from .version import __version__
except ImportError:
pass
| 117 | 15.857143 | 44 | py |
torch-cam | torch-cam-main/torchcam/methods/activation.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
import logging
import math
from typing import Any, List, Optional, Tuple, Union
import torch
import torch.nn... | 17,439 | 40.722488 | 118 | py |
torch-cam | torch-cam-main/torchcam/methods/core.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
import logging
from abc import abstractmethod
from functools import partial
from types import TracebackType
f... | 10,591 | 39.738462 | 119 | py |
torch-cam | torch-cam-main/torchcam/methods/_utils.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
from functools import partial
from typing import List, Optional, Tuple
import torch
from torch import Tensor... | 2,422 | 30.064103 | 115 | py |
torch-cam | torch-cam-main/torchcam/methods/gradient.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
from functools import partial
from typing import Any, List, Optional, Tuple, Union
import torch
from torch i... | 16,864 | 41.804569 | 119 | py |
torch-cam | torch-cam-main/docs/source/conf.py | # Copyright (C) 2020-2023, François-Guillaume Fernandez.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0> for full license details.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the mos... | 5,056 | 36.459259 | 628 | py |
VecConstNMT | VecConstNMT-master/setup.py | #!/usr/bin/env python3
# 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
from setuptools import setup, find_packages, Extension
import sys
if sys.version_info < (3, 6):
sys.exi... | 4,434 | 25.716867 | 101 | py |
VecConstNMT | VecConstNMT-master/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 functools
from fairseq.hub_utils import BPEHubInterface as bpe # noqa
from fairseq.hub_utils import TokenizerHubInterface as tokenize... | 1,432 | 28.244898 | 78 | py |
VecConstNMT | VecConstNMT-master/examples/wav2vec/vq-wav2vec_featurize.py | #!/usr/bin/env python3
# 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.
"""
Helper script to pre-compute embeddings for a wav2letter++ dataset
"""
import pprint
import glob, os, argparse
im... | 7,714 | 29.737052 | 111 | py |
VecConstNMT | VecConstNMT-master/examples/wav2vec/wav2vec_featurize.py | #!/usr/bin/env python3
# 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.
"""
Helper script to pre-compute embeddings for a wav2letter++ dataset
"""
import argparse
import glob
import os
from ... | 7,110 | 29.004219 | 135 | py |
VecConstNMT | VecConstNMT-master/examples/translation_moe/src/mean_pool_gating_network.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.functional as F
class MeanPoolGatingNetwork(torch.nn.Module):
"""A simple mean-pooling gating network for s... | 2,007 | 38.372549 | 84 | py |
VecConstNMT | VecConstNMT-master/examples/translation_moe/src/logsumexp_moe.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
class LogSumExpMoE(torch.autograd.Function):
"""Standard LogSumExp forward pass, but use *posterior* for the backward.
... | 835 | 29.962963 | 78 | py |
VecConstNMT | VecConstNMT-master/examples/translation_moe/src/translation_moe.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
from fairseq import metrics, utils
from fairseq.tasks import register_task
from fairseq.tasks.translation import TranslationTask... | 9,143 | 40.375566 | 107 | py |
VecConstNMT | VecConstNMT-master/examples/roberta/commonsense_qa/commonsense_qa_task.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 os
import numpy as np
import torch
from fairseq.data import (
data_utils,
Dictionary,
encoders,
IdDataset... | 5,933 | 32.908571 | 103 | py |
VecConstNMT | VecConstNMT-master/examples/roberta/wsc/wsc_task.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 os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq... | 13,160 | 34.00266 | 103 | py |
VecConstNMT | VecConstNMT-master/examples/roberta/wsc/wsc_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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.data import encoders
from fairseq.criterions... | 6,034 | 35.137725 | 88 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/infer.py | #!/usr/bin/env python3 -u
# 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.
"""
Run inference for pre-processed data with a trained model.
"""
import editdistance
import logging
import math
i... | 14,716 | 33.225581 | 147 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/w2l_decoder.py | #!/usr/bin/env python3
# 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.
"""
Wav2letter decoders.
"""
from collections import namedtuple, deque
import gc
import itertools as it
import numpy ... | 14,872 | 33.269585 | 164 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/criterions/cross_entropy_acc.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 __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import torch
import torch.nn.f... | 5,372 | 40.015267 | 85 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/criterions/ASG_loss.py | #!/usr/bin/env python3
# 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
from fairseq import utils
from fairseq.criterions import FairseqCriterion, register_criterion
from exampl... | 5,857 | 33.25731 | 85 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/models/vggtransformer.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 math
from collections.abc import Iterable
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.mo... | 37,043 | 35.786495 | 88 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/models/w2l_conv_glu_enc.py | #!/usr/bin/env python3
# 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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
Fair... | 6,079 | 32.96648 | 87 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/datasets/asr_prep_json.py | #!/usr/bin/env python3
# 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 __future__ import absolute_import, division, print_function, unicode_literals
from collections import namedtuple
... | 3,670 | 36.845361 | 134 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/data/collaters.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.
"""
This module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | 4,812 | 35.462121 | 84 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/data/data_utils.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
def calc_mean_invstddev(feature):
if len(feature.size()) != 2:
raise ValueError("We expect the input feature to be ... | 3,429 | 32.960396 | 84 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/data/asr_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 os
import numpy as np
from fairseq.data import FairseqDataset
from . import data_utils
from .collaters import Seq2SeqCollater
class ... | 3,870 | 33.5625 | 82 | py |
VecConstNMT | VecConstNMT-master/examples/speech_recognition/tasks/speech_recognition.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 os
import re
import sys
import torch
from fairseq.data import Dictionary
from fairseq.tasks import register_task, LegacyFa... | 5,106 | 34.465278 | 97 | py |
VecConstNMT | VecConstNMT-master/examples/byte_level_bpe/gru_transformer.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.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the r... | 5,028 | 46.895238 | 87 | py |
VecConstNMT | VecConstNMT-master/examples/simultaneous_translation/modules/monotonic_multihead_attention.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 math
import torch
import torch.nn.functional as F
import torch.nn as nn
from fairseq import utils
from fairseq.modules import Multihe... | 21,349 | 35.125212 | 119 | py |
VecConstNMT | VecConstNMT-master/examples/simultaneous_translation/eval/eval_latency.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 examples.simultaneous_translation.utils.latency import LatencyInference
import argparse
import torch
import json
LATENCY_METRICS = [
... | 2,432 | 29.037037 | 85 | py |
VecConstNMT | VecConstNMT-master/examples/simultaneous_translation/models/transformer_monotonic_attention.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 torch.nn.functional as F
from fairseq.models import (
register_model,
register_model_archit... | 11,249 | 30.163435 | 95 | py |
VecConstNMT | VecConstNMT-master/examples/simultaneous_translation/utils/functions.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
def exclusive_cumprod(tensor, dim: int, eps: float = 1e-10):
"""
Implementing exclusive cumprod.
There is cumprod i... | 3,908 | 25.773973 | 95 | py |
VecConstNMT | VecConstNMT-master/examples/simultaneous_translation/utils/latency.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
class LatencyMetric(object):
@staticmethod
def length_from_padding_mask(padding_mask, batch_first: bool = False):
... | 14,598 | 32.407323 | 110 | py |
VecConstNMT | VecConstNMT-master/scripts/average_checkpoints.py | #!/usr/bin/env python3
# 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 collections
import torch
import os
import re
from fairseq.file_io import PathManager
def aver... | 5,957 | 38.456954 | 175 | py |
VecConstNMT | VecConstNMT-master/tests/test_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 contextlib
import logging
import unittest
from io import StringIO
from unittest.mock import MagicMock, patch
import torch
from fairse... | 8,428 | 40.318627 | 110 | py |
VecConstNMT | VecConstNMT-master/tests/test_average_checkpoints.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 collections
import os
import tempfile
import unittest
import shutil
import numpy as np
import torch
from torch import nn
from script... | 4,494 | 30.215278 | 80 | py |
VecConstNMT | VecConstNMT-master/tests/test_reproducibility.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 contextlib
from io import StringIO
import json
import os
import tempfile
import unittest
import torch
from . import test_binaries
c... | 3,864 | 36.163462 | 97 | py |
VecConstNMT | VecConstNMT-master/tests/test_sequence_scorer.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 unittest
import torch
from fairseq.sequence_scorer import SequenceScorer
import tests.utils as test_utils
class Te... | 3,949 | 33.051724 | 75 | py |
VecConstNMT | VecConstNMT-master/tests/test_memory_efficient_fp16.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 logging
import unittest
import torch
from fairseq.optim.adam import FairseqAdam
from fairseq.optim.fp16_optimizer imp... | 2,002 | 28.028986 | 70 | py |
VecConstNMT | VecConstNMT-master/tests/test_lstm_jitable.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 tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.lstm import L... | 4,007 | 34.157895 | 99 | py |
VecConstNMT | VecConstNMT-master/tests/test_multihead_attention.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 unittest
from fairseq.modules.multihead_attention import MultiheadAttention
class TestMultiheadAttention(unittest.TestCa... | 1,904 | 30.229508 | 80 | py |
VecConstNMT | VecConstNMT-master/tests/utils.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 random
import sys
import torch
import torch.nn.functional as F
from io import StringIO
from fairseq import o... | 16,432 | 32.131048 | 107 | py |
VecConstNMT | VecConstNMT-master/tests/test_binaries.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 contextlib
from io import StringIO
import logging
import os
import random
import tempfile
import unittest
import torch
from fairseq i... | 40,147 | 40.951933 | 122 | py |
VecConstNMT | VecConstNMT-master/tests/test_concat_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 unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | 1,943 | 28.907692 | 66 | py |
VecConstNMT | VecConstNMT-master/tests/test_noising.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
from typing import Dict, List
import tests.utils as test_utils
import torch
from fairseq import utils
from fairseq.data impor... | 19,779 | 36.533207 | 87 | py |
VecConstNMT | VecConstNMT-master/tests/test_constraints.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 sys
import torch
import unittest
from fairseq.token_generation_constraints import *
def tensorize(constraints: List[List[int]]) -> t... | 10,242 | 39.168627 | 204 | py |
VecConstNMT | VecConstNMT-master/tests/test_sparse_multihead_attention.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 unittest
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAttent... | 2,545 | 50.959184 | 114 | py |
VecConstNMT | VecConstNMT-master/tests/test_export.py | #!/usr/bin/env python3
# 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 tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairs... | 3,511 | 31.220183 | 86 | py |
VecConstNMT | VecConstNMT-master/tests/test_backtranslation_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 unittest
import torch
from fairseq.data import (
BacktranslationDataset,
LanguagePairDataset,
TransformEosDataset,
)
from... | 4,030 | 33.452991 | 90 | py |
VecConstNMT | VecConstNMT-master/tests/test_fp16_optimizer.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 copy
import unittest
import torch
from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficientFP16Optimize... | 2,720 | 33.884615 | 129 | py |
VecConstNMT | VecConstNMT-master/tests/test_sequence_generator.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 tempfile
import unittest
import tests.utils as test_utils
import torch
from fairseq import search
from fairseq.data.di... | 23,561 | 38.800676 | 102 | py |
VecConstNMT | VecConstNMT-master/tests/test_label_smoothing.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 copy
import unittest
import torch
from fairseq.criterions.cross_entropy import CrossEntropyCriterion
from fairseq.cri... | 4,235 | 41.36 | 101 | py |
VecConstNMT | VecConstNMT-master/tests/test_convtbc.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 unittest
from fairseq.modules import ConvTBC
import torch.nn as nn
class TestConvTBC(unittest.TestCase):
def test_c... | 1,679 | 33.285714 | 102 | py |
VecConstNMT | VecConstNMT-master/tests/test_token_block_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 unittest
import torch
from fairseq.data import TokenBlockDataset
import tests.utils as test_utils
class TestTokenBlockDataset(unit... | 2,970 | 36.607595 | 89 | py |
VecConstNMT | VecConstNMT-master/tests/test_multi_corpus_sampled_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 unittest
from collections import OrderedDict
import numpy as np
import torch
from fairseq.data import LanguagePairDataset, TokenBlockD... | 3,105 | 31.354167 | 79 | py |
VecConstNMT | VecConstNMT-master/tests/test_bmuf.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
from multiprocessing import Manager
import random
import unittest
import torch
import torch.nn as nn
from fairseq import dis... | 5,351 | 29.758621 | 88 | py |
VecConstNMT | VecConstNMT-master/tests/test_dictionary.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 io
import tempfile
import unittest
import torch
from fairseq.data import Dictionary
class TestDictionary(unittest.TestCase):
d... | 3,336 | 27.521368 | 80 | py |
VecConstNMT | VecConstNMT-master/tests/test_utils.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 fairseq import utils
class TestUtils(unittest.TestCase):
def test_convert_padding_direction(self):
... | 3,067 | 28.219048 | 78 | py |
VecConstNMT | VecConstNMT-master/tests/test_character_token_embedder.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 unittest
from fairseq.data import Dictionary
from fairseq.modules import CharacterTokenEmbedder
class TestCharacterToke... | 1,656 | 34.255319 | 96 | py |
VecConstNMT | VecConstNMT-master/tests/gpu/test_binaries_gpu.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 contextlib
import logging
import os
import tempfile
import unittest
from io import StringIO
import torch
from fairseq import options
f... | 9,920 | 31.421569 | 92 | py |
VecConstNMT | VecConstNMT-master/tests/speech_recognition/test_data_utils.py | #!/usr/bin/env python3
# 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 examples.speech_recognition.data import data_utils
class DataUtilsTest(unittest.Te... | 1,039 | 42.333333 | 108 | py |
VecConstNMT | VecConstNMT-master/tests/speech_recognition/asr_test_base.py | #!/usr/bin/env python3
import argparse
import os
import unittest
from inspect import currentframe, getframeinfo
import numpy as np
import torch
from fairseq.data import data_utils as fairseq_data_utils
from fairseq.data.dictionary import Dictionary
from fairseq.models import (
BaseFairseqModel,
FairseqDecoder... | 19,503 | 33.953405 | 92 | py |
VecConstNMT | VecConstNMT-master/tests/speech_recognition/test_collaters.py | #!/usr/bin/env python3
# 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 numpy as np
import torch
from examples.speech_recognition.data.collaters import Seq2SeqCollater... | 2,048 | 33.728814 | 87 | py |
VecConstNMT | VecConstNMT-master/fairseq/checkpoint_utils.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 collections
import logging
import os
import re
import traceback
from collections import OrderedDict
from typing import Union
import to... | 30,399 | 42.930636 | 115 | py |
VecConstNMT | VecConstNMT-master/fairseq/utils.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 contextlib
import copy
import importlib.util
import logging
import math
import os
import sys
import warnings
from collections import de... | 20,829 | 31.395023 | 111 | py |
VecConstNMT | VecConstNMT-master/fairseq/hub_utils.py | #!/usr/bin/env python3 -u
# 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 copy
import logging
import os
from typing import List, Dict, Iterator, Tuple, Any
import tor... | 10,083 | 36.210332 | 114 | py |
VecConstNMT | VecConstNMT-master/fairseq/sequence_scorer.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 sys
from fairseq import utils
class SequenceScorer(object):
"""Scores the target for a given source sentence."""
... | 5,071 | 36.850746 | 107 | py |
VecConstNMT | VecConstNMT-master/fairseq/binarizer.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
from collections import Counter
from fairseq.tokenizer import tokenize_line
import torch
from fairseq.file_io import PathManager
d... | 3,975 | 31.590164 | 84 | py |
VecConstNMT | VecConstNMT-master/fairseq/distributed_utils.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 logging
import os
import pickle
import random
import socket
import struct
import subprocess
import warnings
from collections import Ord... | 15,816 | 39.765464 | 107 | py |
VecConstNMT | VecConstNMT-master/fairseq/sequence_generator.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 math
from typing import Dict, List, Optional
import torch
import torch.nn as nn
from fairseq import search, utils
from fairseq.data im... | 40,912 | 39.913 | 118 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.