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
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lammps-develop | lammps-develop/examples/mliap/jax/mliap_unified_jax_kokkos.py | from lammps.mliap.mliap_unified_abc import MLIAPUnified
import numpy as np
import jax
import jax.dlpack
import jax.numpy as jnp
from jax import jit
from functools import partial
import cupy
import os
# Required else get `jaxlib.xla_extension.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory`
# Does not fix GPU proble... | 2,236 | 30.957143 | 93 | py |
lammps-develop | lammps-develop/examples/mliap/jax/write_unified.py | """
interface for creating LAMMPS MLIAP Unified models.
"""
import pickle
import numpy as np
from lammps.mliap.mliap_unified_abc import MLIAPUnified
#from deploy_script import MyModel
class MLIAPInterface(MLIAPUnified):
"""
Class for creating ML-IAP Unified model based on hippynn graphs.
"""
def __in... | 2,748 | 30.597701 | 140 | py |
lammps-develop | lammps-develop/examples/mliap/jax/mliap_unified_jax.py | from lammps.mliap.mliap_unified_abc import MLIAPUnified
import numpy as np
import jax
import jax.numpy as jnp
from jax import jit
from functools import partial
import os
# Required else get `jaxlib.xla_extension.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory`
os.environ["XLA_PYTHON_CLIENT_PREALLOCATE"]="false"
os.... | 1,910 | 29.822581 | 93 | py |
lammps-develop | lammps-develop/examples/mliap/jax/deploy_script.py | import lammps
import lammps.mliap
#from lammps.mliap.mliap_unified_lj import MLIAPUnifiedLJ
from mliap_unified_jax import MLIAPUnifiedJAX
def create_pickle():
unified = MLIAPUnifiedJAX(["Ar"])
unified.pickle('mliap_unified_jax_Ar.pkl')
create_pickle() | 262 | 22.909091 | 57 | py |
lammps-develop | lammps-develop/python/lammps/mliap/pytorch.py | # ----------------------------------------------------------------------
# LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
# https://www.lammps.org/ Sandia National Laboratories
# LAMMPS Development team: developers@lammps.org
#
# Copyright (2003) Sandia Corporation. Under the terms of Contr... | 9,940 | 28.852853 | 115 | py |
simpletransformers | simpletransformers-master/examples/language_generation/train_new_lm.py | import argparse
import logging
from simpletransformers.language_modeling import LanguageModelingModel
logging.basicConfig(level=logging.INFO)
transformers_logger = logging.getLogger("transformers")
transformers_logger.setLevel(logging.WARNING)
train_args = {
"reprocess_input_data": True,
"overwrite_output_d... | 1,568 | 23.138462 | 81 | py |
simpletransformers | simpletransformers-master/simpletransformers/language_modeling/language_modeling_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import json
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import cpu_count
from typing import Dict, List
import numpy as np
import pandas as... | 68,455 | 39.967086 | 236 | py |
simpletransformers | simpletransformers-master/simpletransformers/language_modeling/language_modeling_utils.py | import logging
import os
import pickle
from multiprocessing import Pool
from typing import Tuple
import torch
from torch.utils.data import Dataset
from datasets import load_dataset
from tqdm.auto import tqdm
from transformers import PreTrainedTokenizer
logger = logging.getLogger(__name__)
def encode(data):
toke... | 9,777 | 36.037879 | 111 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/classification_utils.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 33,415 | 31.857424 | 102 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/classification_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import collections
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import cpu_count
import tempfile
from pathlib import Path
from collections i... | 100,308 | 39.545271 | 227 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/multi_label_classification_model.py | import logging
import os
import random
import warnings
from multiprocessing import cpu_count
import numpy as np
import torch
from transformers import (
WEIGHTS_NAME,
AlbertConfig,
AlbertTokenizer,
BertConfig,
BertTokenizer,
BertweetTokenizer,
BigBirdConfig,
BigBirdTokenizer,
Camembe... | 12,934 | 31.176617 | 194 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/multi_modal_classification_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import json
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import cpu_count
import numpy as np
import pandas as pd
import torch
from scipy.st... | 59,498 | 39.669173 | 194 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/longformer_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.longformer.modeling_longformer import (
LongformerModel,
LongformerPreTrainedModel,
LongformerClassificationHead,
)
class LongformerForSequenceClassification(LongformerPreTrainedModel):
def __ini... | 2,719 | 35.756757 | 119 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/xlm_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.xlm.modeling_xlm import (
SequenceSummary,
XLMModel,
XLMPreTrainedModel,
)
class XLMForSequenceClassification(XLMPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor`` of sh... | 4,048 | 41.621053 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/mmbt_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.mmbt.modeling_mmbt import MMBTModel
class MMBTForClassification(nn.Module):
r"""
**labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size,)``:
Labels for computing the sequenc... | 4,267 | 43 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/bert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.bert.modeling_bert import BertModel, BertPreTrainedModel
class BertForSequenceClassification(BertPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size,)``:
... | 4,068 | 44.211111 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/camembert_model.py | from transformers.models.camembert.configuration_camembert import CamembertConfig
from transformers.models.camembert.modeling_camembert import (
CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
)
from simpletransformers.classification.transformer_models.roberta_model import (
RobertaForSequenceClassification,
)
clas... | 2,562 | 63.075 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/electra_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.electra.modeling_electra import (
ElectraModel,
ElectraPreTrainedModel,
ElectraClassificationHead,
)
class ElectraForSequenceClassification(ElectraPreTrainedModel):
r"""
**labels**: (`opt... | 3,867 | 43.45977 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/xlnet_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.xlnet.modeling_xlnet import (
SequenceSummary,
XLNetModel,
XLNetPreTrainedModel,
)
class XLNetForSequenceClassification(XLNetPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTe... | 4,719 | 45.27451 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/albert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.albert.modeling_albert import (
AlbertConfig,
AlbertModel,
AlbertPreTrainedModel,
)
class AlbertForSequenceClassification(AlbertPreTrainedModel):
"""
**labels**: (`optional`) ``torch.Long... | 4,122 | 43.333333 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/mobilebert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.mobilebert.modeling_mobilebert import (
MobileBertModel,
MobileBertPreTrainedModel,
)
class MobileBertForSequenceClassification(MobileBertPreTrainedModel):
def __init__(self, config, weight=None):
... | 2,574 | 35.785714 | 119 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/distilbert_model.py | import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.distilbert.modeling_distilbert import (
DistilBertModel,
DistilBertPreTrainedModel,
)
class DistilBertForSequenceClassification(DistilBertPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor... | 4,183 | 49.409639 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/roberta_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.roberta.modeling_roberta import (
ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
RobertaClassificationHead,
RobertaConfig,
RobertaModel,
)
from transformers import BertPreTrainedModel
class RobertaForSe... | 4,070 | 44.741573 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/flaubert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.flaubert.modeling_flaubert import FlaubertModel
from transformers.modeling_utils import SequenceSummary
class FlaubertForSequenceClassification(FlaubertModel):
r"""
**labels**: (`optional`) ``torch.L... | 4,097 | 43.543478 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/classification/transformer_models/layoutlm_model.py | import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.bert.modeling_bert import BertPreTrainedModel
from transformers.models.layoutlm.modeling_layoutlm import LayoutLMModel
class LayoutLMForSequenceClassification(BertPreTrainedModel):
def __init__(self, config, weight=None)... | 2,066 | 31.296875 | 82 | py |
simpletransformers | simpletransformers-master/simpletransformers/config/model_args.py | import json
import os
import sys
from dataclasses import asdict, dataclass, field, fields
from multiprocessing import cpu_count
import warnings
from torch.utils.data import Dataset
def get_default_process_count():
process_count = cpu_count() - 2 if cpu_count() > 2 else 1
if sys.platform == "win32":
p... | 14,235 | 31.208145 | 101 | py |
simpletransformers | simpletransformers-master/simpletransformers/question_answering/question_answering_utils.py | from __future__ import absolute_import, division, print_function
import collections
import json
import linecache
import logging
import math
import mmap
import os
import re
import string
from functools import partial
from io import open
from multiprocessing import Pool, cpu_count
from pprint import pprint
import torch... | 80,779 | 35.387387 | 116 | py |
simpletransformers | simpletransformers-master/simpletransformers/question_answering/question_answering_model.py | from __future__ import absolute_import, division, print_function
import json
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import cpu_count
import numpy as np
import pandas as pd
import torch
from scipy.stats import pearsonr
from sklearn.metrics... | 61,991 | 38.310082 | 178 | py |
simpletransformers | simpletransformers-master/simpletransformers/conv_ai/conv_ai_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import json
import logging
import math
import os
import random
import statistics
import warnings
from collections import defaultdict
from dataclasses import asdict
from itertools import chain
from multiprocessing i... | 56,664 | 39.359687 | 194 | py |
simpletransformers | simpletransformers-master/simpletransformers/conv_ai/conv_ai_utils.py | # Copyright (c) 2019-present, HuggingFace Inc.
# 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 json
import logging
import os
import socket
import tarfile
import tempfile
from datetime import datetime
from multi... | 3,756 | 31.669565 | 132 | py |
simpletransformers | simpletransformers-master/simpletransformers/language_generation/language_generation_model.py | import argparse
import json
import logging
import os
import random
import numpy as np
import torch
from transformers import (
CTRLConfig,
CTRLLMHeadModel,
CTRLTokenizer,
GPT2Config,
GPT2LMHeadModel,
GPT2Tokenizer,
OpenAIGPTConfig,
OpenAIGPTLMHeadModel,
OpenAIGPTTokenizer,
Transf... | 9,026 | 34.53937 | 194 | py |
simpletransformers | simpletransformers-master/simpletransformers/language_representation/representation_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import logging
import random
import warnings
from functools import partial
import numpy as np
import torch
from tqdm.auto import tqdm
from transformers import (
BertConfig,
BertTokenizer,
GPT2Config,
... | 8,249 | 35.343612 | 214 | py |
simpletransformers | simpletransformers-master/simpletransformers/ner/ner_model.py | from __future__ import absolute_import, division, print_function
import collections
import logging
import math
import os
import random
import tempfile
import warnings
from dataclasses import asdict
from pathlib import Path
import numpy as np
import pandas as pd
import torch
from seqeval.metrics import (
classifica... | 84,423 | 39.336359 | 203 | py |
simpletransformers | simpletransformers-master/simpletransformers/ner/ner_utils.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 25,620 | 32.230869 | 109 | py |
simpletransformers | simpletransformers-master/simpletransformers/seq2seq/seq2seq_utils.py | import logging
import os
import pickle
from multiprocessing import Pool
from functools import partial
from typing import Tuple
import pandas as pd
import torch
import transformers
from tokenizers.implementations import ByteLevelBPETokenizer
from tokenizers.processors import BertProcessing
from torch.utils.data import ... | 18,719 | 32.608618 | 162 | py |
simpletransformers | simpletransformers-master/simpletransformers/seq2seq/seq2seq_model.py | import json
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import Pool, cpu_count
from pathlib import Path
import numpy as np
import pandas as pd
import torch
import transformers
from torch.utils.tensorboard import SummaryWriter
from torch.nn.util... | 73,835 | 42.204213 | 228 | py |
simpletransformers | simpletransformers-master/simpletransformers/t5/t5_model.py | import json
import logging
import math
import os
import random
import warnings
from dataclasses import asdict
from multiprocessing import Pool, cpu_count
from os import truncate
from pathlib import Path
import numpy as np
import pandas as pd
import torch
from torch.utils.tensorboard import SummaryWriter
from torch.nn.... | 50,919 | 39.965406 | 214 | py |
simpletransformers | simpletransformers-master/simpletransformers/t5/t5_utils.py | import logging
import os
import pickle
from multiprocessing import Pool
from os import truncate
from typing import Tuple
import pandas as pd
import torch
from tokenizers.implementations import ByteLevelBPETokenizer
from tokenizers.processors import BertProcessing
from torch.utils.data import Dataset
from tqdm.auto imp... | 6,664 | 32.325 | 100 | py |
simpletransformers | simpletransformers-master/simpletransformers/streamlit/simple_view.py | import os
import json
import logging
import streamlit as st
from torch.cuda import is_available
from simpletransformers.classification import (
ClassificationModel,
MultiLabelClassificationModel,
)
from simpletransformers.ner import NERModel
from simpletransformers.question_answering import QuestionAnsweringM... | 7,743 | 30.100402 | 142 | py |
simpletransformers | simpletransformers-master/simpletransformers/retrieval/retrieval_model.py | import json
import logging
import math
import os
import random
import warnings
import string
from dataclasses import asdict
from multiprocessing import Pool, cpu_count
from pathlib import Path
import numpy as np
import pandas as pd
import torch
import transformers
from tensorboardX import SummaryWriter
from torch.nn.u... | 75,034 | 39.75774 | 288 | py |
simpletransformers | simpletransformers-master/simpletransformers/retrieval/retrieval_utils.py | import logging
import os
import pickle
from multiprocessing import Pool
from functools import partial
from simpletransformers.seq2seq.seq2seq_utils import add_faiss_index_to_dataset
from datasets.load import load_from_disk
import torch
import transformers
import numpy as np
from torch.utils.data import Dataset
from t... | 26,391 | 38.27381 | 114 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/classification_model.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import absolute_import, division, print_function
import json
import math
import os
import random
import warnings
from multiprocessing import cpu_count
import numpy as np
import torch
from scipy.stats import pearsonr
from sklearn.metrics import (
confusion_ma... | 36,129 | 36.518172 | 196 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/multi_label_classification_model.py | from multiprocessing import cpu_count
import torch
from transformers import (
WEIGHTS_NAME,
AlbertConfig,
AlbertTokenizer,
BertConfig,
BertTokenizer,
DistilBertConfig,
DistilBertTokenizer,
RobertaConfig,
RobertaTokenizer,
XLMConfig,
XLMTokenizer,
XLNetConfig,
XLNetTo... | 6,733 | 32.336634 | 186 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/xlm_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.xlm.modeling_xlm import (
SequenceSummary,
XLMModel,
XLMPreTrainedModel,
)
class XLMForSequenceClassification(XLMPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor`` of sh... | 3,870 | 41.538462 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/bert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.bert.modeling_bert import BertModel, BertPreTrainedModel
class BertForSequenceClassification(BertPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size,)``:
... | 4,830 | 44.149533 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/camembert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.camembert.modeling_camembert import (
CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
CamembertConfig,
CamembertModel,
)
from transformers.models.roberta.modeling_roberta import (
RobertaClassificationHea... | 4,851 | 45.209524 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/xlnet_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.xlnet.modeling_xlnet import (
SequenceSummary,
XLNetModel,
XLNetPreTrainedModel,
)
class XLNetForSequenceClassification(XLNetPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTe... | 5,607 | 45.347107 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/albert_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.albert.modeling_albert import (
AlbertConfig,
AlbertModel,
AlbertPreTrainedModel,
)
class AlbertForSequenceClassification(AlbertPreTrainedModel):
"""
**labels**: (`optional`) ``torch.Long... | 4,880 | 42.972973 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/distilbert_model.py | import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.distilbert.modeling_distilbert import (
DistilBertModel,
DistilBertPreTrainedModel,
)
class DistilBertForSequenceClassification(DistilBertPreTrainedModel):
r"""
**labels**: (`optional`) ``torch.LongTensor... | 3,980 | 50.038462 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/experimental/classification/transformer_models/roberta_model.py | import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.models.bert.modeling_bert import BertPreTrainedModel
from transformers.models.roberta.modeling_roberta import (
ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
RobertaClassificationHead,
RobertaConfig,
RobertaMode... | 4,891 | 45.150943 | 134 | py |
simpletransformers | simpletransformers-master/simpletransformers/losses/dice_loss.py | from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Optional
# based on:
# https://github.com/kevinzakka/pytorch-goodies/blob/master/losses.py
# adapted from:
# https://kornia.readthedocs.io/en/v0.1.2/_modules/torchgeometry/losses/dice.html
class DiceLos... | 3,911 | 30.804878 | 101 | py |
simpletransformers | simpletransformers-master/simpletransformers/losses/loss_utils.py | import torch
import warnings
from torch.nn import CrossEntropyLoss
from simpletransformers.losses import FocalLoss, DiceLoss, TverskyLoss
def init_loss(weight, device, args):
if weight and args.loss_type:
warnings.warn(
f"weight and args.loss_type parametters are set at the same time"
... | 957 | 33.214286 | 95 | py |
simpletransformers | simpletransformers-master/simpletransformers/losses/tversky_loss.py | from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
# based on:
# https://github.com/kevinzakka/pytorch-goodies/blob/master/losses.py
# adapted from:
# https://kornia.readthedocs.io/en/v0.1.2/_modules/torchgeometry/losses/tversky.html
class TverskyLoss(nn.Module):
r"""... | 4,342 | 31.901515 | 101 | py |
simpletransformers | simpletransformers-master/simpletransformers/losses/focal_loss.py | from typing import Optional, Union
from numbers import Real
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
try:
from collections import Iterable
except ImportError:
from collections.abc import Iterable
# based on:
# https://github.com/zhezh/focalloss/blob/master/focalloss.p... | 5,748 | 38.108844 | 115 | py |
simpletransformers | simpletransformers-master/simpletransformers/custom_models/models.py | import torch
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers import (
BertModel,
BertPreTrainedModel,
DistilBertModel,
ElectraForMaskedLM,
ElectraForPreTraining,
FlaubertModel,
LayoutLMModel,
LayoutLMPreTrainedModel,
Longformer... | 35,433 | 32.302632 | 134 | py |
torch-mlir | torch-mlir-main/setup.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# Script for generating the torch-mlir wheel.
# ```
# $ python s... | 7,228 | 41.523529 | 130 | py |
torch-mlir | torch-mlir-main/examples/torchscript_resnet18.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import sys
from PIL import Image
import requests
import torch
... | 2,580 | 32.960526 | 131 | py |
torch-mlir | torch-mlir-main/examples/ltc_backend_bert.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
"""
Runs a training of the Bert model using the Lazy Tensor Core ... | 5,217 | 31.409938 | 103 | py |
torch-mlir | torch-mlir-main/examples/ltc_backend_mnist.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
"""
Example use of the example Torch MLIR LTC backend.
"""
import... | 2,793 | 25.358491 | 97 | py |
torch-mlir | torch-mlir-main/examples/torchdynamo_resnet18.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import sys
from typing import List
from PIL import Image
import... | 3,340 | 34.168421 | 131 | py |
torch-mlir | torch-mlir-main/examples/torchscript_resnet18_all_output_types.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import torch
import torchvision
import torch_mlir
resnet18 = t... | 936 | 43.619048 | 98 | py |
torch-mlir | torch-mlir-main/examples/torchscript_stablehlo_backend_resnet.py | import torch
import torchvision.models as models
import torch_mlir
model = models.resnet18(pretrained=True)
model.eval()
data = torch.randn(2,3,200,200)
out_stablehlo_mlir_path = "./resnet18_stablehlo.mlir"
module = torch_mlir.compile(model, data, output_type=torch_mlir.OutputType.STABLEHLO, use_tracing=False)
with o... | 497 | 32.2 | 104 | py |
torch-mlir | torch-mlir-main/examples/torchscript_stablehlo_backend_tinybert.py | import torch
import torch_mlir
from transformers import BertForMaskedLM
# Wrap the bert model to avoid multiple returns problem
class BertTinyWrapper(torch.nn.Module):
def __init__(self) -> None:
super().__init__()
self.bert = BertForMaskedLM.from_pretrained("prajjwal1/bert-tiny", return_dict=Fals... | 813 | 31.56 | 103 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/_dynamo_fx_importer.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import pdb
# This file implements a pure-Python importer from a r... | 17,781 | 39.139955 | 120 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/_version.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from packaging import version
import torch
def torch_version_fo... | 445 | 36.166667 | 79 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/compiler_utils.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from io import StringIO
import os
import sys
import tempfile
fr... | 3,017 | 37.692308 | 83 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dynamo.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import List
from ._version import torch_version_for_... | 6,549 | 41.810458 | 98 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/__init__.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import Optional, Sequence, Union, List, Dict, Tuple,... | 19,553 | 41.694323 | 115 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/__init__.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from .._torch_ops_gen import *
from ..._mlir_libs._torchMlir imp... | 341 | 41.75 | 79 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/torchscript_annotations.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import List, Optional, Tuple
import torch
import t... | 2,546 | 42.913793 | 80 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/__init__.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# This is a trampoline module which loads the _torch_mlir native... | 695 | 30.636364 | 79 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/registry.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
"""Access to the Torch JIT operator registry."""
from typing im... | 18,295 | 42.561905 | 102 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
"""Queries the pytorch op registry and generates ODS and CC sourc... | 41,406 | 52.359536 | 215 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/library_generator.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import inspect
import re
from typing import List, Optional, Unio... | 10,740 | 43.020492 | 150 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/abstract_interp_lib_gen.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import List, Optional, Any, Tuple, Union
import argp... | 189,544 | 55.111604 | 363 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/testing_framework.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import Any, List, Iterable, Optional, Callable
impo... | 14,385 | 46.79402 | 189 | py |
torch-mlir | torch-mlir-main/python/torch_mlir/_torch_mlir_custom_op_example/__init__.py | import os
import torch
# Register _torch_mlir_custom_op_example.identity as a side-effect of importing.
current_dir = os.path.dirname(os.path.abspath(__file__))
lib = os.path.join(*[current_dir, 'libtorch_mlir_custom_op_example.so'])
torch.ops.load_library(lib)
| 264 | 28.444444 | 80 | py |
torch-mlir | torch-mlir-main/python/test/lit.cfg.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import os
import platform
import re
import subprocess
import tem... | 2,965 | 34.309524 | 101 | py |
torch-mlir | torch-mlir-main/python/test/annotations-sugar.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_... | 1,632 | 29.811321 | 97 | py |
torch-mlir | torch-mlir-main/python/test/debug/lockstep_basic.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
from typing import List
impor... | 1,697 | 33.653061 | 128 | py |
torch-mlir | torch-mlir-main/python/test/lazy_backend/device_data_name.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch._la... | 1,018 | 21.644444 | 79 | py |
torch-mlir | torch-mlir-main/python/test/dynamo_fx_importer/basic.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
from typing import List
impor... | 5,337 | 44.623932 | 258 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/already_scripted.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mlir... | 1,012 | 30.65625 | 154 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/already_traced.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mlir... | 1,004 | 33.655172 | 154 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/tracing.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mli... | 2,586 | 34.438356 | 170 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/backend_legal_ops.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mli... | 730 | 29.458333 | 79 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/make_fx.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import functorch
import torch
... | 684 | 30.136364 | 116 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/multiple_methods.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mlir... | 1,486 | 34.404762 | 79 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/basic.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mli... | 2,342 | 38.711864 | 123 | py |
torch-mlir | torch-mlir-main/python/test/compile_api/output_type_spec.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
import torch_mli... | 923 | 34.538462 | 100 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/error_reports.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
from typing import List, Tuple... | 5,850 | 35.117284 | 211 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/submodule.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_... | 1,366 | 27.479167 | 81 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/non_tensor_values.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
from typing import List, Tuple... | 1,537 | 26.464286 | 81 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/compilation_failure.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_... | 1,516 | 30.604167 | 81 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/basic.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_... | 1,307 | 28.066667 | 81 | py |
torch-mlir | torch-mlir-main/python/test/torchscript_e2e_test/runtime_failure.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_... | 1,383 | 30.454545 | 81 | py |
torch-mlir | torch-mlir-main/python/torch_mlir_e2e_test/annotations.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import List, Optional, Tuple, NamedTuple
import tor... | 2,997 | 41.225352 | 80 | py |
torch-mlir | torch-mlir-main/python/torch_mlir_e2e_test/reporting.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
"""
Utilities for reporting the results of the test framework.
""... | 13,202 | 38.06213 | 133 | py |
torch-mlir | torch-mlir-main/python/torch_mlir_e2e_test/registry.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from typing import Callable
import torch
from .framework impor... | 1,501 | 35.634146 | 142 | py |
torch-mlir | torch-mlir-main/python/torch_mlir_e2e_test/utils.py | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
from torch_mlir import TensorPlaceholder
from torch_mlir_e2e_tes... | 1,017 | 43.26087 | 80 | py |
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