python_code stringlengths 0 4.04M | repo_name stringlengths 7 58 | file_path stringlengths 5 147 |
|---|---|---|
import numpy as np
import torch
import torch.nn as nn
from transformers import CLIPConfig, CLIPVisionModel, PreTrainedModel
from ...utils import logging
logger = logging.get_logger(__name__)
def cosine_distance(image_embeds, text_embeds):
normalized_image_embeds = nn.functional.normalize(image_embeds)
nor... | diffusers-main | src/diffusers/pipelines/stable_diffusion/safety_checker.py |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_flax_available, is_onnx_available, is_torch_available, is_transformers_available
@dataclass
class StableDiffusionPipelineOutput(BaseOutput):
"""
... | diffusers-main | src/diffusers/pipelines/stable_diffusion/__init__.py |
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDict
from ...models import AutoencoderKL, UNet2DConditionModel
from ...pipeline_utils import DiffusionPipeline
from ...sc... | diffusers-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
import torch
import PIL
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDict
from ...models import AutoencoderKL, UNet2DConditionModel
from ...pipeline_utils impor... | diffusers-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
from transformers import CLIPFeatureExtractor, CLIPTokenizer
from ...onnx_utils import OnnxRuntimeModel
from ...pipeline_utils import DiffusionPipeline
from ...schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
fro... | diffusers-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_onnx.py |
import inspect
from typing import Callable, List, Optional, Union
import numpy as np
import torch
import PIL
from tqdm.auto import tqdm
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from ...configuration_utils import FrozenDict
from ...models import AutoencoderKL, UNet2DConditionModel
f... | diffusers-main | src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/pipelines/pndm/pipeline_pndm.py |
# flake8: noqa
from .pipeline_pndm import PNDMPipeline
| diffusers-main | src/diffusers/pipelines/pndm/__init__.py |
# flake8: noqa
from .pipeline_ddpm import DDPMPipeline
| diffusers-main | src/diffusers/pipelines/ddpm/__init__.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/pipelines/ddpm/pipeline_ddpm.py |
# coding=utf-8
# Copyright 2020 Optuna, Hugging Face
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | diffusers-main | src/diffusers/utils/logging.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class StableDiffusionOnnxPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends... | diffusers-main | src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class ModelMixin(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
@classmethod
d... | diffusers-main | src/diffusers/utils/dummy_pt_objects.py |
import inspect
import os
import random
import re
import unittest
from distutils.util import strtobool
from pathlib import Path
from typing import Union
import PIL.Image
import PIL.ImageOps
import requests
from packaging import version
from .import_utils import is_flax_available, is_torch_available
global_rng = rand... | diffusers-main | src/diffusers/utils/testing_utils.py |
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | diffusers-main | src/diffusers/utils/__init__.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class LDMTextToImagePipeline(metaclass=DummyObject):
_backends = ["torch", "transformers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torc... | diffusers-main | src/diffusers/utils/dummy_torch_and_transformers_objects.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class FlaxStableDiffusionPipeline(metaclass=DummyObject):
_backends = ["flax", "transformers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["... | diffusers-main | src/diffusers/utils/dummy_flax_and_transformers_objects.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/utils/import_utils.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class LMSDiscreteScheduler(metaclass=DummyObject):
_backends = ["torch", "scipy"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "scip... | diffusers-main | src/diffusers/utils/dummy_torch_and_scipy_objects.py |
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True):
from .. import __version__
deprecated_kwargs = take_from
values = ()
if not isinstance(args[0], tuple):
... | diffusers-main | src/diffusers/utils/deprecation_utils.py |
# This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class FlaxModelMixin(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
... | diffusers-main | src/diffusers/utils/dummy_flax_objects.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/utils/outputs.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/attention.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/unet_2d_condition.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/unet_blocks_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/attention_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/__init__.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/resnet_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/unet_blocks.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/unet_2d_condition_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/embeddings.py |
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
class Upsample2D(nn.Module):
"""
An upsampling layer with an optional convolution.
Parameters:
channels: channels in the inputs and outputs.
use_conv: a bool determining if a convolution is a... | diffusers-main | src/diffusers/models/resnet.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/unet_2d.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/embeddings_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/vae_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/models/vae.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/commands/env.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/commands/__init__.py |
#!/usr/bin/env python
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers-main | src/diffusers/commands/diffusers_cli.py |
# Copyright 2022 NVIDIA and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | diffusers-main | src/diffusers/schedulers/scheduling_karras_ve_flax.py |
# Copyright 2022 UC Berkeley Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | diffusers-main | src/diffusers/schedulers/scheduling_ddpm.py |
# Copyright 2022 Zhejiang University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers-main | src/diffusers/schedulers/scheduling_pndm_flax.py |
# Copyright 2022 Google Brain and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers-main | src/diffusers/schedulers/scheduling_sde_vp.py |
# Copyright 2022 UC Berkeley Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | diffusers-main | src/diffusers/schedulers/scheduling_ddpm_flax.py |
# Copyright 2022 NVIDIA and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | diffusers-main | src/diffusers/schedulers/scheduling_karras_ve.py |
# Copyright 2022 Google Brain and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers-main | src/diffusers/schedulers/scheduling_sde_ve_flax.py |
# Copyright 2022 Katherine Crowson and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers-main | src/diffusers/schedulers/scheduling_lms_discrete_flax.py |
# Copyright 2022 Katherine Crowson and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers-main | src/diffusers/schedulers/scheduling_lms_discrete.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/schedulers/__init__.py |
# Copyright 2022 Stanford University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers-main | src/diffusers/schedulers/scheduling_ddim_flax.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/schedulers/scheduling_utils.py |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers-main | src/diffusers/schedulers/scheduling_utils_flax.py |
# Copyright 2022 Google Brain and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | diffusers-main | src/diffusers/schedulers/scheduling_sde_ve.py |
# Copyright 2022 Stanford University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers-main | src/diffusers/schedulers/scheduling_ddim.py |
# Copyright 2022 Zhejiang University Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | diffusers-main | src/diffusers/schedulers/scheduling_pndm.py |
# 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.
#
# Copyright 2021 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "L... | bit-main | utils_squad.py |
# 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.
#
# 2022.09.25 - Add distill_attn argument for removing attention distillation
# Meta Platform... | bit-main | kd_learner_glue.py |
# 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.
#
# Copyright 2021 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "L... | bit-main | helper.py |
# 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.
#
# 2022.09.25 - Add support for using quantized Bert model as teacher
# Meta Platforms, Inc. ... | bit-main | quant_task_distill_squad.py |
# 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.
#
# 2022.09.25 - Add default learning rate and batch size
# Meta Platforms, Inc. <zechunliu@fb... | bit-main | utils_glue.py |
# 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.
#
# 2022.09.25 - Add distill_attn argument for removing attention distillation
# Meta Platform... | bit-main | kd_learner_squad.py |
# 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.
#
# 2022.09.25 - Add support for using quantized Bert model as teacher
# Meta Platforms, Inc. ... | bit-main | quant_task_distill_glue.py |
# 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/configuration_utils.py |
# 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/configuration_bert.py |
# 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.
#
# 2022.09.25 - Add elastic quantization support
# Meta Platforms, Inc. <zechunliu@fb.com>
#
... | bit-main | transformer/modeling_bert_quant.py |
# 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
import torch.nn as nn
import logging
import math
class LearnableBias(nn.Module):
def __i... | bit-main | transformer/utils_quant.py |
# 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under th... | bit-main | transformer/optimization.py |
# 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under th... | bit-main | transformer/tokenization.py |
# 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/modeling_bert.py |
# 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.
"""
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at h... | bit-main | transformer/file_utils.py |
from IPython.core.display import display_html, HTML, display_javascript, Javascript
import json
import numpy as np
import inspect
import re
from collections import defaultdict
from copy import deepcopy
class TransactionManager:
"""
Class for maintaining a set of n_threads + 1 states
Allows these states to be rea... | cs145-notebooks-2016-master | lecture-7-8/txn_viewer.py |
from collections import namedtuple, OrderedDict
from copy import copy
import numpy as np
from IPython.core.display import display_html, HTML, display_javascript, Javascript
import json
import random
class BufferMemoryException(Exception):
pass
class PageNotFoundException(Exception):
pass
class FileNotFoundExcept... | cs145-notebooks-2016-master | bonus/io_backend.py |
from collections import namedtuple, OrderedDict
from copy import copy
import numpy as np
from IPython.core.display import display_html, HTML, display_javascript, Javascript
import json
import random
class BufferMemoryException(Exception):
pass
class PageNotFoundException(Exception):
pass
class FileNotFoundExcept... | cs145-notebooks-2016-master | lecture-14-15/io_backend.py |
from IPython.core.display import display_html, HTML
def to_html_table(res, style=None):
html = '<table' + (' style="' + style + '"' if style else '') + '><tr><th>'
html += '</th><th>'.join(res.keys) + '</th></tr><tr><td>'
html += '</td></tr><tr><td>'.join(['</td><td>'.join([str(cell) for cell in row]) for row in... | cs145-notebooks-2016-master | lecture-14-15/display_tools.py |
# Utilities
import csv
import numpy as np
from collections import namedtuple
from collections import defaultdict
from collections import Counter
def loadData():
PlayerTeam = namedtuple('PlayerTeam','teamname playername')
PlayerCollege = namedtuple('PlayerCollege', 'playername collegename')
teams =... | cs145-notebooks-2016-master | PS3/nfl.py |
from collections import namedtuple, OrderedDict
from copy import copy
import numpy as np
from IPython.core.display import display_html, HTML, display_javascript, Javascript
import json
import random
class BufferMemoryException(Exception):
pass
class PageNotFoundException(Exception):
pass
class FileNotFoundExcept... | cs145-notebooks-2016-master | PS3/io_backend.py |
from IPython.core.display import display_html, HTML
def to_html_table(res, style=None):
html = '<table' + (' style="' + style + '"' if style else '') + '><tr><th>'
html += '</th><th>'.join(res.keys) + '</th></tr><tr><td>'
html += '</td></tr><tr><td>'.join(['</td><td>'.join([str(cell) for cell in row]) for row in... | cs145-notebooks-2016-master | lecture-16/display_tools.py |
# TODO:
# 1. Remove asserts and replace with exceptions.
# 2. There is a lot of unpythonic code in here, someone who likes python can fix it :)
def get_result(x): return [tuple(t) for t in x]
def generate_dict(t, schema_index):
d = dict()
for x in schema_index.keys():
d[x] = t[schema_index[x]]
ret... | cs145-notebooks-2016-master | lecture-16/relation_algebra.py |
from IPython.core.display import display_html, HTML
def to_html_table(res, style=None):
html = '<table' + (' style="' + style + '"' if style else '') + '><tr><th>'
html += '</th><th>'.join(res.keys) + '</th></tr><tr><td>'
html += '</td></tr><tr><td>'.join(['</td><td>'.join([str(cell) for cell in row]) for row in... | cs145-notebooks-2016-master | lecture-17/display_tools.py |
# TODO:
# 1. Remove asserts and replace with exceptions.
# 2. There is a lot of unpythonic code in here, someone who likes python can fix it :)
def get_result(x): return [tuple(t) for t in x]
def generate_dict(t, schema_index):
d = dict()
for x in schema_index.keys():
d[x] = t[schema_index[x]]
ret... | cs145-notebooks-2016-master | lecture-17/relation_algebra.py |
# A = set(["name", "category"]) # These are the attribute set.
# fds = [ (set(["name"]),"color"),
# (set(["category"]), "department"),
# (set(["color", "category"]), "price") ]
def to_set(x):
"""Convert input int, string, list, tuple, set -> set"""
if type(x) == set:
return x
elif type(x) in... | cs145-notebooks-2016-master | lecture-5-6/closure.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Optional
from overrides import overrides
from allennlp.training.metrics.metric import Metric
import torch
import numpy as np
from curiosity.util import get_logger
log = get_logger(__name__)
@Metric.register("mean_reciproc... | curiosity-main | curiosity/metrics.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A database containing all the wikipedia/entity linking information.
"""
import random
import re
import subprocess
import os
from contextlib import contextmanager
from collections import defaultdict
from typing import List, Tuple, Dict, Name... | curiosity-main | curiosity/db.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import numpy as np
from overrides import overrides
from allennlp.common.util import JsonDict
from allennlp.data import Instance
from allennlp.predictors.predictor import Predictor
from allennlp.data.dataset_readers.dataset_reader impo... | curiosity-main | curiosity/predictors.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Optional, Union
import math
import torch
from torch import nn
from allennlp.nn.util import (
get_text_field_mask,
sequence_cross_entropy_with_logits,
masked_mean,
)
from allennlp.data.vocabulary import Vocab... | curiosity-main | curiosity/models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Implement very simple similarity search
"""
from typing import List, Optional
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from curiosity.db import Fact, c... | curiosity-main | curiosity/similarity.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
def get_logger(name):
log = logging.getLogger(name)
if len(log.handlers) < 2:
formatter = logging.Formatter(
"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
fh = logging.Fi... | curiosity-main | curiosity/util.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict
import torch
from overrides import overrides
from allennlp.common.registrable import Registrable
from allennlp.modules.similarity_functions.similarity_function import SimilarityFunction
class FactRanker(torch.nn.Module... | curiosity-main | curiosity/nn.py |
curiosity-main | curiosity/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Optional, Union
import math
import torch
from torch import nn
from allennlp.nn.util import (
get_text_field_mask, sequence_cross_entropy_with_logits,
masked_mean
)
from allennlp.data.vocabulary import Vocabulary... | curiosity-main | curiosity/baseline_models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Reader for curiosity dialog dataset. Below is a sample json with relevant structure
{
"dialogs": [
{
"messages": [
{
"message": "Hi, what do you know about St. Louis' history?",
... | curiosity-main | curiosity/reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import json
from itertools import cycle
import click
import _jsonnet
from curiosity.stats import (
MajorityLikes,
TfidfFactBaseline,
MajorityDialogActs,
MajorityPolicyActs,
save_metrics,
fact_length_stats,
)
f... | curiosity-main | curiosity/cli.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file computes baseline accuracies based on majority
based voting
"""
from typing import Dict, Optional, List
import json
import numpy as np
import pandas as pd
from allennlp.data.tokenizers.token import Token
from curiosity.reader impo... | curiosity-main | curiosity/stats.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Union
import torch
from pytorch_pretrained_bert.modeling import BertModel
from allennlp.modules.token_embedders.bert_token_embedder import PretrainedBertModel
class BertEncoder(torch.nn.Module):
"""
Adapted ... | curiosity-main | curiosity/bert.py |
#!/usr/bin/env python3
#Copyright (c) Facebook, Inc. and its affiliates.
"""
Reader for curiosity dialog dataset. Below is a sample json with relevant structure
{
"dialogs": [
{
"messages": [
{
"message": "Hi, what do you know about St. Louis' history?",
... | curiosity-main | curiosity/baseline_reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, List, Tuple, Optional
import numpy
from overrides import overrides
import torch
import torch.nn.functional as F
from torch.nn.modules.linear import Linear
from torch.nn.modules.rnn import LSTMCell
from torch.nn import ... | curiosity-main | curiosity/paraphrase_models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from curiosity.reader import CuriosityDialogReader, USER, ASSISTANT
def test_text_to_instance():
facts_0 = [
{"fid": 1, "used": True},
{"fid": 1, "used": False},
{"fid": 1, "used": False},
]
facts_1 = [
... | curiosity-main | curiosity/tests/test_reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import pytest
from curiosity.metrics import MeanReciprocalRank
def test_mrr():
logits = torch.tensor([1, 2, 0.5, 0, 4, 3]).reshape(1, 1, -1)
labels = torch.tensor([0, 1, 0, 0, 0, 1]).reshape(1, 1, -1)
mask = torch.ten... | curiosity-main | curiosity/tests/test_metrics.py |
curiosity-main | curiosity/tests/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import os
import shutil
from os import path
from typing import List
from setuptools import find_packages, setup
cwd = os.path.dirname(os.path.abspath(__file__))
version = "0.0.1"
try:
if not os.getenv("RELEA... | d2go-main | setup.py |
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