repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/performer/modeling_flax_performer.py | hf-dev-train/transformers-main/examples/research_projects/performer/modeling_flax_performer.py | # coding=utf-8
# Copyright 2018 The Google Flax Team Authors and The HuggingFace Inc. team.
#
# 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
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/adversarial/utils_hans.py | hf-dev-train/transformers-main/examples/research_projects/adversarial/utils_hans.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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/adversarial/run_hans.py | hf-dev-train/transformers-main/examples/research_projects/adversarial/run_hans.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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/deebert/test_glue_deebert.py | hf-dev-train/transformers-main/examples/research_projects/deebert/test_glue_deebert.py | import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_deebert
from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
def get_setup_file():
parser = argparse... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/deebert/run_glue_deebert.py | hf-dev-train/transformers-main/examples/research_projects/deebert/run_glue_deebert.py | from __future__ import absolute_import, division, print_function
import argparse
import glob
import logging
import os
import random
import time
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from torch.utils.data.distribute... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/deebert/src/modeling_highway_roberta.py | hf-dev-train/transformers-main/examples/research_projects/deebert/src/modeling_highway_roberta.py | from __future__ import absolute_import, division, print_function, unicode_literals
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers import RobertaConfig
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.roberta... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/deebert/src/modeling_highway_bert.py | hf-dev-train/transformers-main/examples/research_projects/deebert/src/modeling_highway_bert.py | import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.bert.modeling_bert import (
BERT_INPUTS_DOCSTRING,
BERT_START_DOCSTRING,
BertEmbeddings,
BertLayer,
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/deebert/src/__init__.py | hf-dev-train/transformers-main/examples/research_projects/deebert/src/__init__.py | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false | |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/initialize_model.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/initialize_model.py | from arguments import InitializationArguments
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser
# Configuration
parser = HfArgumentParser(InitializationArguments)
args = parser.parse_args()
# Load codeparrot tokenizer trained for Python code tokenization
tokenizer = AutoToke... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/pretokenizing.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/pretokenizing.py | import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def tokenize(example):
output = {}
output["input_ids"] = tokenizer(example["content"], truncation=False)["input_ids"]
output["ratio... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/bpe_training.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/bpe_training.py | from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
# Iterator for Training
def batch_iterator(batch_size=10):
for _ in tqdm(range(... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/minhash_deduplication.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/minhash_deduplication.py | import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import ... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/preprocessing.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/preprocessing.py | import gzip
import hashlib
import json
import multiprocessing
import os
import re
import shutil
import time
from pathlib import Path
import numpy as np
from arguments import PreprocessingArguments
from datasets import load_dataset
from minhash_deduplication import deduplicate_dataset
from transformers import AutoToke... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/arguments.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/arguments.py | from dataclasses import dataclass, field
from typing import Optional
@dataclass
class TrainingArguments:
"""
Configuration for training model.
"""
model_ckpt: Optional[str] = field(
default="codeparrot/codeparrot", metadata={"help": "Model name or path of model to be trained."}
)
save... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/validation_loss.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/validation_loss.py | import logging
import torch
from accelerate import Accelerator
from arguments import EvaluationArguments
from datasets import load_dataset
from torch.utils.data import IterableDataset
from torch.utils.data.dataloader import DataLoader
from transformers import AutoModelForCausalLM, AutoTokenizer, HfArgumentParser, set... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/human_eval.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/human_eval.py | import json
import multiprocessing
import os
import re
from collections import defaultdict
import torch
from accelerate import Accelerator
from accelerate.utils import set_seed
from arguments import HumanEvalArguments
from datasets import load_dataset, load_metric
from torch.utils.data import IterableDataset
from torc... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/codeparrot_training.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/codeparrot_training.py | import logging
import os
import time
from argparse import Namespace
from pathlib import Path
import datasets
import torch
from accelerate import Accelerator, DistributedType
from arguments import TrainingArguments
from datasets import load_dataset
from huggingface_hub import Repository
from torch.optim import AdamW
fr... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py | from unittest import TestCase
from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters
def get_dataset():
data_dict = {
"repo_name": ["test_repo1", "test_repo2", "test_repo3"],
"path": ["test_1.py", "test_2.py", "unit_test.py"],
"content"... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/tests/__init__.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/scripts/tests/__init__.py | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false | |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/codeparrot/examples/train_complexity_predictor.py | hf-dev-train/transformers-main/examples/research_projects/codeparrot/examples/train_complexity_predictor.py | import argparse
from copy import deepcopy
import numpy as np
from datasets import ClassLabel, DatasetDict, load_dataset
from evaluate import load
from transformers import (
AutoModelForSequenceClassification,
AutoTokenizer,
DataCollatorWithPadding,
Trainer,
TrainerCallback,
TrainingArguments,
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/run_onnx_exporter.py | hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/run_onnx_exporter.py | #!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team and 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.ap... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py | hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py | """
Code to remove duplicate initializers to reduce ONNX model size.
"""
import os
import numpy
import onnx
def _is_equal_tensor_proto(a, b):
name_a = a.name
name_b = b.name
a.name = ""
b.name = ""
res = a == b
a.name = name_a
b.name = name_b
return res
def _node_replace_input_... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/bart_onnx/generation_onnx.py | hf-dev-train/transformers-main/examples/research_projects/onnx/summarization/bart_onnx/generation_onnx.py | import copy
import itertools
from typing import List, Optional, Tuple
import torch
import torch.nn.functional as F
from transformers import BartConfig
from transformers.generation import GenerationMixin
def _convert_past_list_to_tuple(past_key_values):
"""
In Bart model, the type of past_key_values is tuple... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/layoutlmv3/run_funsd_cord.py | hf-dev-train/transformers-main/examples/research_projects/layoutlmv3/run_funsd_cord.py | #!/usr/bin/env python
# coding=utf-8
# 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-... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_pretrain.py | hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_pretrain.py | #!/usr/bin/env python3
import logging
import sys
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
import librosa
import torch
from datasets import DatasetDict, load_dataset
from packaging import version
from torch import nn
from transformers import (
HfArgumentParser,
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/wav2vec2/test_wav2vec2_deepspeed.py | hf-dev-train/transformers-main/examples/research_projects/wav2vec2/test_wav2vec2_deepspeed.py | # Copyright 2020 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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_asr.py | hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_asr.py | #!/usr/bin/env python3
import logging
import pathlib
import re
import sys
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Optional, Set, Union
import datasets
import librosa
import numpy as np
import torch
from lang_trans import arabic
from packaging import version
from torch imp... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_common_voice.py | hf-dev-train/transformers-main/examples/research_projects/wav2vec2/run_common_voice.py | #!/usr/bin/env python3
import json
import logging
import os
import re
import sys
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
import datasets
import numpy as np
import torch
import torchaudio
from packaging import version
from torch import nn
import transformers
from tr... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/wav2vec2/alignment.py | hf-dev-train/transformers-main/examples/research_projects/wav2vec2/alignment.py | # Parts of the code are adapted from the snippets provided in the TorchAudio Wav2Vec forced alignment tutorial.
# The full tutorial can be found here: https://pytorch.org/audio/stable/tutorials/forced_alignment_tutorial.html
import argparse
import os
from dataclasses import dataclass
import torch
import torchaudio
fr... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/mlm_wwm/run_chinese_ref.py | hf-dev-train/transformers-main/examples/research_projects/mlm_wwm/run_chinese_ref.py | import argparse
import json
from typing import List
from ltp import LTP
from transformers.models.bert.tokenization_bert import BertTokenizer
def _is_chinese_char(cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
#... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/mlm_wwm/run_mlm_wwm.py | hf-dev-train/transformers-main/examples/research_projects/mlm_wwm/run_mlm_wwm.py | # coding=utf-8
# Copyright 2020 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 require... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/xtreme-s/run_xtreme_s.py | hf-dev-train/transformers-main/examples/research_projects/xtreme-s/run_xtreme_s.py | #!/usr/bin/env python
# coding=utf-8
# 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/LI... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bertology/run_prune_gpt.py | hf-dev-train/transformers-main/examples/research_projects/bertology/run_prune_gpt.py | #!/usr/bin/env python3
""" This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
to prune GPT-like models. The author is @altsoph.
"""
import argparse
import logging
import... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bertology/run_bertology.py | hf-dev-train/transformers-main/examples/research_projects/bertology/run_bertology.py | #!/usr/bin/env python3
# Copyright 2018 CMU and The HuggingFace Inc. team.
#
# 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 requir... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/model_parallel/run_clm_mp.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/model_parallel/run_clm_mp.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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-... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/model_parallel/partitions.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/model_parallel/partitions.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The Google Research Authors 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://... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py | import copy
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class HybridCLIPConfig(PretrainedConfig):
r"""
:class:`HybridCLIPConfig` is the configuration class to store the configuration of a
:class:`~HybridCLIPM... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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-... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py | # coding=utf-8
# Copyright 2021 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 requir... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py | #!/usr/bin/env python3
import logging
import sys
import time
from dataclasses import field
from pathlib import Path
from typing import Dict, List, Optional, Union
import flax
import jax
import jax.numpy as jnp
import librosa
import numpy as np
import optax
from datasets import DatasetDict, load_dataset
from flax impor... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/bigbird_flax.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/bigbird_flax.py | import json
import os
from dataclasses import dataclass
from functools import partial
from typing import Callable
import flax.linen as nn
import jax
import jax.numpy as jnp
import joblib
import optax
import wandb
from flax import jax_utils, struct, traverse_util
from flax.serialization import from_bytes, to_bytes
from... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/train.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/train.py | import os
from dataclasses import replace
import jax
import wandb
from bigbird_flax import Args, DataCollator, FlaxBigBirdForNaturalQuestions, Trainer, build_tx, train_step, val_step
from datasets import load_dataset
from flax import jax_utils
from transformers import BigBirdTokenizerFast
if __name__ == "__main__":... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py | import os
import jsonlines
import numpy as np
from tqdm import tqdm
DOC_STRIDE = 2048
MAX_LENGTH = 4096
SEED = 42
PROCESS_TRAIN = os.environ.pop("PROCESS_TRAIN", "false")
CATEGORY_MAPPING = {"null": 0, "short": 1, "long": 2, "yes": 3, "no": 4}
def _get_single_answer(example):
def choose_first(answer, is_long_a... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/evaluate.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/big_bird/evaluate.py | import jax
import jax.numpy as jnp
from bigbird_flax import FlaxBigBirdForNaturalQuestions
from datasets import load_from_disk
from transformers import BigBirdTokenizerFast
CATEGORY_MAPPING = {0: "null", 1: "short", 2: "long", 3: "yes", 4: "no"}
PUNCTUATION_SET_TO_EXCLUDE = set("".join(["‘", "’", "´", "`", ".", ",",... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py | hf-dev-train/transformers-main/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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-... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_streaming.py | hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_streaming.py | #!/usr/bin/env python
# coding=utf-8
# 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/LI... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py | hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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/LI... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/eval.py | hf-dev-train/transformers-main/examples/research_projects/robust-speech-event/eval.py | #!/usr/bin/env python3
import argparse
import re
from typing import Dict
import torch
from datasets import Audio, Dataset, load_dataset, load_metric
from transformers import AutoFeatureExtractor, pipeline
def log_results(result: Dataset, args: Dict[str, str]):
"""DO NOT CHANGE. This function computes and logs t... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/run_clm_igf.py | hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/run_clm_igf.py | # Copyright 2022 - Intel Corp. All rights reserved.
# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Beckage
"""
Implementation of a new method for fine-tuning transformer models that we call
Information Gain Filtration 'IGF' on WikiText data set and compared the results
with the standard fine-tuning method
Steps... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/igf/igf.py | hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/igf/igf.py | # Copyright 2022 - Intel Corp. All rights reserved.
# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Backage
import copy
import logging
import random
import joblib
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AdamW, G... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/igf/__init__.py | hf-dev-train/transformers-main/examples/research_projects/information-gain-filtration/igf/__init__.py | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false | |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_bash_script.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_bash_script.py | #!/usr/bin/env python
import argparse
import os
import sys
from unittest.mock import patch
import pytorch_lightning as pl
import timeout_decorator
import torch
from distillation import SummarizationDistiller, distill_main
from finetune import SummarizationModule, main
from transformers import MarianMTModel
from tran... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/run_eval.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/run_eval.py | #!/usr/bin/env python
import argparse
import datetime
import json
import time
import warnings
from logging import getLogger
from pathlib import Path
from typing import Dict, List
import torch
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from utils import calculate_bleu, calcula... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/callbacks.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/callbacks.py | import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils import save_json
def count_trainable_parameters(model):
model_parameters... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_make_student.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_make_student.py | import tempfile
import unittest
from make_student import create_student_by_copying_alternating_layers
from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch
TINY_BART = "sshleifer/bart-tiny-random"
TINY_T5 = "patrickvonplaten/t5-t... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/finetune.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/finetune.py | #!/usr/bin/env python
import argparse
import glob
import logging
import os
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from callbacks import Seq2SeqLoggingCallback, get_checkpoin... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py | import argparse
import logging
import os
import sys
import tempfile
from pathlib import Path
import lightning_base
import pytest
import pytorch_lightning as pl
import torch
from convert_pl_checkpoint_to_hf import convert_pl_to_hf
from distillation import distill_main
from finetune import SummarizationModule, main
from... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py | # as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.
import os
import sys
from pathlib import Path
import torch
from transformers.testing_utils import TestCasePlus, execute_subprocess_async, require_torch_multi_gpu
from utils import load_json
C... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/sentence_splitter.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/sentence_splitter.py | import re
from filelock import FileLock
try:
import nltk
NLTK_AVAILABLE = True
except (ImportError, ModuleNotFoundError):
NLTK_AVAILABLE = False
if NLTK_AVAILABLE:
with FileLock(".lock") as lock:
nltk.download("punkt", quiet=True)
def add_newline_to_end_of_each_sentence(x: str) -> str:
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/lightning_base.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/lightning_base.py | import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoModelForQuestionAnswering,
... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/utils.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/utils.py | import itertools
import json
import linecache
import math
import os
import pickle
import socket
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List, Tuple, Union
import git
import numpy as np
import torch
import torch.distributed as dist
from rouge_score import roug... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py | #!/usr/bin/env python
import os
from pathlib import Path
from typing import Dict, List
import fire
import torch
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from transformers.utils.logging import get_logger
logger = get_logger(__name__)
def remove_prefix(text: str, prefix: str):
if text.star... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/make_student.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/make_student.py | import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
logger = logging.get_logger(__name__)
def copy_layers(src_layers: nn.ModuleList, des... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/distillation.py | hf-dev-train/transformers-main/examples/research_projects/seq2seq-distillation/distillation.py | #!/usr/bin/env python
import argparse
import gc
import os
import sys
from pathlib import Path
from typing import List # noqa: F401
import pytorch_lightning as pl
import torch
from finetune import SummarizationModule, TranslationModule
from finetune import main as ft_main
from make_student import create_student_by_co... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/run_glue_with_pabee.py | hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/run_glue_with_pabee.py | # coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and Microsoft Corporation.
# 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.... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py | hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py | import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_with_pabee
from transformers.testing_utils import TestCasePlus
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
def get_setup_file():
parser = argparse.ArgumentParser()
parser.add_argument("-f")... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py | hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py | # coding=utf-8
# Copyright 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and Microsoft Corporation.
# 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.... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py | hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py | # coding=utf-8
# Copyright 2020 Google AI, Google Brain, the HuggingFace Inc. team and Microsoft Corporation.
#
# 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/lic... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/__init__.py | hf-dev-train/transformers-main/examples/research_projects/bert-loses-patience/pabee/__init__.py | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false | |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_missing_tokenization_test/cookiecutter-template-{{cookiecutter.modelname}}/test_tokenization_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_missing_tokenization_test/cookiecutter-template-{{cookiecutter.modelname}}/test_tokenization_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}}. 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 re... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_example_script/{{cookiecutter.directory_name}}/run_{{cookiecutter.example_shortcut}}.py | hf-dev-train/transformers-main/templates/adding_a_new_example_script/{{cookiecutter.directory_name}}/run_{{cookiecutter.example_shortcut}}.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# 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 r... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_flax_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_flax_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# 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 r... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/to_replace_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/to_replace_{{cookiecutter.lowercase_modelname}}.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 ... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} 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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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/lice... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/__init__.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/__init__.py | # Copyright 2020 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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_tf_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_tf_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# 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 r... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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/lice... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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/lice... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_flax_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_flax_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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/lice... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py | hf-dev-train/transformers-main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py | # coding=utf-8
# Copyright 2022 {{cookiecutter.authors}} and 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/lice... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | true |
Sreyan88/GAMA | https://github.com/Sreyan88/GAMA/blob/041c3a623c6c635e65463cef16ce0cfde72e5c57/hf-dev-train/transformers-main/.circleci/create_circleci_config.py | hf-dev-train/transformers-main/.circleci/create_circleci_config.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# 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... | python | Apache-2.0 | 041c3a623c6c635e65463cef16ce0cfde72e5c57 | 2026-01-05T07:09:59.331526Z | false |
zgw21cn/FeedlyClient | https://github.com/zgw21cn/FeedlyClient/blob/1a344063820c8cc09dd9213d7206bf5719eb221f/client.py | client.py | # -*- coding: UTF-8 -*-
import requests
import json
class FeedlyClient(object):
def __init__(self, **options):
self.client_id = options.get('client_id')
self.client_secret = options.get('client_secret')
self.sandbox = options.get('sandbox', True)
if self.sandbox:
default... | python | MIT | 1a344063820c8cc09dd9213d7206bf5719eb221f | 2026-01-05T07:10:21.659473Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/fuzz/interconnect.py | util/fuzz/interconnect.py | """
Utilities for fuzzing interconect
"""
import threading
import tiles
import libpyprjoxide
import fuzzconfig
import fuzzloops
import lapie
def fuzz_interconnect(
config,
nodenames,
regex=False,
nodename_predicate=lambda x, nets: True,
pip_predicate=lambda x, nets: True,
... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/fuzz/fuzzconfig.py | util/fuzz/fuzzconfig.py | """
This module provides a structure to define the fuzz environment
"""
import os
from os import path
from string import Template
import radiant
import database
import libpyprjoxide
db = None
class FuzzConfig:
def __init__(self, device, job, tiles, sv):
"""
:param job: user-friendly job name, used... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/fuzz/get_params.py | util/fuzz/get_params.py | import re, sys
# Read a Lattice Verilog file and extract the parameters and their widths/set of values
ov_re = re.compile(r'\\otherValues = "{([^}]*)}"')
p_re = re.compile(r'parameter ([A-Z0-9a-z_]*) = "([^"]*)"')
# returns [(word_name, word_length)], [(enum_name, [enum_values])]
def get_params(f):
words = []
enums... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/fuzz/fuzzloops.py | util/fuzz/fuzzloops.py | """
General Utilities for Fuzzing
"""
import os
from threading import Thread, RLock
def parallel_foreach(items, func):
"""
Run a function over a list of values, running a number of jobs
in parallel. OXIDE_JOBS should be set to the number of jobs to run,
defaulting to 4.
"""
if "OXIDE_JOBS" in ... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/fuzz/nonrouting.py | util/fuzz/nonrouting.py | """
Utilities for fuzzing non-routing configuration. This is the counterpart to interconnect.py
"""
import threading
import tiles
import libpyprjoxide
import fuzzconfig
def fuzz_word_setting(config, name, length, get_sv_substs, desc=""):
"""
Fuzz a multi-bit setting, such as LUT initialisation
:param con... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/common/lapie.py | util/common/lapie.py | """
Python wrapper for `lapie`
"""
from os import path
import os
import subprocess
import database
import tempfile
import re
def run(commands, workdir=None):
"""Run a list of Tcl commands, returning the output as a string"""
rcmd_path = path.join(database.get_oxide_root(), "radiant_cmd.sh")
if workdir is N... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/common/radiant.py | util/common/radiant.py | """
Python wrapper for `radiant.sh`
"""
from os import path
import os
import subprocess
import database
def run(device, source, struct_ver=True, raw_bit=False, pdcfile=None, rbk_mode=False):
"""
Run radiant.sh with a given device name and source Verilog file
"""
env = os.environ.copy()
if struct_v... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/common/database.py | util/common/database.py | """
Database and Database Path Management
"""
import os
from os import path
import json
import subprocess
def get_oxide_root():
"""Return the absolute path to the Project Oxide repo root"""
return path.abspath(path.join(__file__, "../../../"))
def get_db_root():
"""
Return the path containing the Pr... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/common/__init__.py | util/common/__init__.py | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false | |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/util/common/tiles.py | util/common/tiles.py | import re
pos_re = re.compile(r'R(\d+)C(\d+)')
def pos_from_name(tile):
"""
Extract the tile position as a (row, column) tuple from its name
"""
s = pos_re.search(tile)
assert s
return int(s.group(1)), int(s.group(2))
def type_from_fullname(tile):
"""
Extract the type from a full ti... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/test_sites.py | tools/test_sites.py | #!/usr/bin/env python3
"""
Convert the tile grid for a given family and device to HTML format
"""
import sys, re
import argparse
import database
import libpyprjoxide
def main(argv):
db = libpyprjoxide.Database(database.get_db_root())
libpyprjoxide.build_sites(db, "LIFCL-40", "PLC")
if __name__ == "__main__":... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/bitstreamcache.py | tools/bitstreamcache.py | #!/usr/bin/env python3
"""
Bitstream cache tool for prjoxide
This avoids expensive bitstream rebuilds when making small changes to the
fuzzer and the Verilog input is largely unchanged.
Note that it is disabled by default. Run:
tools/bitstreamcache.py init
to start using it.
Usage:
tools/bitstreamcache.py fe... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/html_all.py | tools/html_all.py | #!/usr/bin/env python3
"""
Project Oxide Master HTML Generation Script
Usage:
html_all.py <output_folder>
"""
import os, sys, time
from os import path
from string import Template
import argparse
import database
import html_tilegrid
import html_tilebits
import fuzzloops
import glob
import libpyprjoxide
oxide_docs_ind... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/tilegrid_all.py | tools/tilegrid_all.py |
#!/usr/bin/env python3
"""
For each family and device, obtain a tilegrid and save it in the database
"""
import os
from os import path
import subprocess
import extract_tilegrid
import database
def main():
devices = database.get_devices()
for family in sorted(devices["families"].keys()):
for device i... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/parse_pins.py | tools/parse_pins.py | import json, sys
# Parse a Lattice pinout CSV file to a JSON file for the database
# Usage: parse_pins.py pinout.csv iodb.json
def main():
packages = []
pads = []
with open(sys.argv[1], "r") as csvf:
for line in csvf:
sl = line.replace('"', '')
sl = sl.strip()
if len(sl) == 0 or sl.startswith('#'):
... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
gatecat/prjoxide | https://github.com/gatecat/prjoxide/blob/30712ff988a3ea7700fa11b87ae2d77e55c7c468/tools/html_tilegrid.py | tools/html_tilegrid.py | #!/usr/bin/env python3
"""
Convert the tile grid for a given family and device to HTML format
"""
import sys, re
import argparse
import database
import libpyprjoxide
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('family', type=str,
help="FPGA family (e.g. LIFCL)")
parser... | python | ISC | 30712ff988a3ea7700fa11b87ae2d77e55c7c468 | 2026-01-05T07:10:26.543741Z | false |
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