code stringclasses 3
values | apis sequence | extract_api stringclasses 3
values |
|---|---|---|
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from test.test_utils import assert_expected
from torchmultimodal.transforms.text_... | [
"torchmultimodal.transforms.text_transforms.StrToIntTransform",
"torchmultimodal.transforms.text_transforms.PadTransform"
] | [((469, 482), 'torch.ones', 'torch.ones', (['(5)'], {}), '(5)\n', (479, 482), False, 'import torch\n'), ((514, 532), 'torch.ones', 'torch.ones', (['(8, 5)'], {}), '((8, 5))\n', (524, 532), False, 'import torch\n'), ((725, 751), 'torchmultimodal.transforms.text_transforms.PadTransform', 'PadTransform', ([], {'max_length... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, Iterable, List, Optional, Tuple, Union
import torch
from PIL.Image import Image
f... | [
"torchmultimodal.transforms.text_transforms.PadTransform",
"torchmultimodal.transforms.text_transforms.StrToIntTransform"
] | [((3808, 3861), 'torchvision.transforms.Compose', 'transforms.Compose', (['(base_transform + joint_transforms)'], {}), '(base_transform + joint_transforms)\n', (3826, 3861), False, 'from torchvision import transforms\n'), ((3882, 3969), 'torchtext.transforms.CLIPTokenizer', 'CLIPTokenizer', (['text_bpe_merges_path', 't... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# Code for some of the transformers components in this file are initialized
# from their counterparts in Huggin... | [
"torchmultimodal.modules.layers.normalizations.Fp32LayerNorm",
"torchmultimodal.modules.layers.transformer.FLAVATransformerEncoder",
"torchmultimodal.modules.losses.flava.Pooler",
"torchmultimodal.modules.layers.transformer.FLAVATransformerWithoutEmbeddings",
"torchmultimodal.modules.losses.flava.FLAVAPretr... | [((1231, 1396), 'collections.namedtuple', 'namedtuple', (['"""FLAVAOutput"""', "['image', 'image_masked', 'text', 'text_masked', 'multimodal',\n 'multimodal_masked']"], {'defaults': '(None, None, None, None, None, None)'}), "('FLAVAOutput', ['image', 'image_masked', 'text', 'text_masked',\n 'multimodal', 'multimo... |
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