text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/poolformer/test_image_processing_poolformer.py/0 | {
"file_path": "transformers/tests/models/poolformer/test_image_processing_poolformer.py",
"repo_id": "transformers",
"token_count": 1773
} | 393 |
# coding=utf-8
# Copyright 2024 The Qwen team, Alibaba Group 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/... | transformers/tests/models/qwen2/test_modeling_qwen2.py/0 | {
"file_path": "transformers/tests/models/qwen2/test_modeling_qwen2.py",
"repo_id": "transformers",
"token_count": 11541
} | 394 |
# 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... | transformers/tests/models/regnet/test_modeling_regnet.py/0 | {
"file_path": "transformers/tests/models/regnet/test_modeling_regnet.py",
"repo_id": "transformers",
"token_count": 4165
} | 395 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/roberta_prelayernorm/test_modeling_flax_roberta_prelayernorm.py/0 | {
"file_path": "transformers/tests/models/roberta_prelayernorm/test_modeling_flax_roberta_prelayernorm.py",
"repo_id": "transformers",
"token_count": 3446
} | 396 |
# Copyright 2023 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... | transformers/tests/models/sam/test_processor_sam.py/0 | {
"file_path": "transformers/tests/models/sam/test_processor_sam.py",
"repo_id": "transformers",
"token_count": 4944
} | 397 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/swin2sr/test_image_processing_swin2sr.py/0 | {
"file_path": "transformers/tests/models/swin2sr/test_image_processing_swin2sr.py",
"repo_id": "transformers",
"token_count": 2903
} | 398 |
# coding=utf-8
# Copyright 2023 The Intel Team 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/... | transformers/tests/models/tvp/test_modeling_tvp.py/0 | {
"file_path": "transformers/tests/models/tvp/test_modeling_tvp.py",
"repo_id": "transformers",
"token_count": 4545
} | 399 |
# coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/vilt/test_image_processing_vilt.py/0 | {
"file_path": "transformers/tests/models/vilt/test_image_processing_vilt.py",
"repo_id": "transformers",
"token_count": 2455
} | 400 |
# 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... | transformers/tests/models/x_clip/test_modeling_x_clip.py/0 | {
"file_path": "transformers/tests/models/x_clip/test_modeling_x_clip.py",
"repo_id": "transformers",
"token_count": 12605
} | 401 |
# 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 requir... | transformers/tests/models/xlm_roberta/test_modeling_xlm_roberta.py/0 | {
"file_path": "transformers/tests/models/xlm_roberta/test_modeling_xlm_roberta.py",
"repo_id": "transformers",
"token_count": 1277
} | 402 |
# 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 requir... | transformers/tests/optimization/test_optimization.py/0 | {
"file_path": "transformers/tests/optimization/test_optimization.py",
"repo_id": "transformers",
"token_count": 3392
} | 403 |
# Copyright 2023 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... | transformers/tests/pipelines/test_pipelines_mask_generation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_mask_generation.py",
"repo_id": "transformers",
"token_count": 3309
} | 404 |
# 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 required by applicabl... | transformers/tests/pipelines/test_pipelines_zero_shot_object_detection.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_zero_shot_object_detection.py",
"repo_id": "transformers",
"token_count": 5064
} | 405 |
# we define a fixture function below and it will be "used" by
# referencing its name from tests
import os
import pytest
from attr import dataclass
os.environ["AWS_DEFAULT_REGION"] = "us-east-1" # defaults region
@dataclass
class SageMakerTestEnvironment:
framework: str
role = "arn:aws:iam::558105141721:r... | transformers/tests/sagemaker/conftest.py/0 | {
"file_path": "transformers/tests/sagemaker/conftest.py",
"repo_id": "transformers",
"token_count": 1035
} | 406 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/test_image_processing_common.py/0 | {
"file_path": "transformers/tests/test_image_processing_common.py",
"repo_id": "transformers",
"token_count": 6533
} | 407 |
# coding=utf-8
# Copyright 2018 HuggingFace Inc..
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | transformers/tests/tokenization/test_tokenization_utils.py/0 | {
"file_path": "transformers/tests/tokenization/test_tokenization_utils.py",
"repo_id": "transformers",
"token_count": 5596
} | 408 |
# 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... | transformers/tests/trainer/test_data_collator.py/0 | {
"file_path": "transformers/tests/trainer/test_data_collator.py",
"repo_id": "transformers",
"token_count": 19982
} | 409 |
# Copyright 2023 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... | transformers/tests/utils/test_dynamic_module_utils.py/0 | {
"file_path": "transformers/tests/utils/test_dynamic_module_utils.py",
"repo_id": "transformers",
"token_count": 918
} | 410 |
# coding=utf-8
# Copyright 2023 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... | transformers/utils/check_build.py/0 | {
"file_path": "transformers/utils/check_build.py",
"repo_id": "transformers",
"token_count": 616
} | 411 |
# 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... | transformers/utils/create_dummy_models.py/0 | {
"file_path": "transformers/utils/create_dummy_models.py",
"repo_id": "transformers",
"token_count": 28790
} | 412 |
# 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... | transformers/utils/sort_auto_mappings.py/0 | {
"file_path": "transformers/utils/sort_auto_mappings.py",
"repo_id": "transformers",
"token_count": 1812
} | 413 |
# pip install openrlbenchmark==0.2.1a5
# see https://github.com/openrlbenchmark/openrlbenchmark#get-started for documentation
BASELINE_PR_TAG=v0.4.7-55-g110e672
BASELINE_PR_NAME=PR-662
python -m openrlbenchmark.rlops_multi_metrics \
--filters '?we=huggingface&wpn=trl&xaxis=_step&ceik=trl_ppo_trainer_config.value.r... | trl/benchmark/plot.sh/0 | {
"file_path": "trl/benchmark/plot.sh",
"repo_id": "trl",
"token_count": 1454
} | 414 |
# Examples
## Introduction
The examples should work in any of the following settings (with the same script):
- single GPU
- multi GPUS (using PyTorch distributed mode)
- multi GPUS (using DeepSpeed ZeRO-Offload stages 1, 2, & 3)
- fp16 (mixed-precision), fp32 (normal precision), or bf16 (bfloat16 precisi... | trl/docs/source/example_overview.md/0 | {
"file_path": "trl/docs/source/example_overview.md",
"repo_id": "trl",
"token_count": 1969
} | 415 |
# Trainer
At TRL we support PPO (Proximal Policy Optimisation) with an implementation that largely follows the structure introduced in the paper "Fine-Tuning Language Models from Human Preferences" by D. Ziegler et al. [[paper](https://arxiv.org/pdf/1909.08593.pdf), [code](https://github.com/openai/lm-human-preferenc... | trl/docs/source/trainer.mdx/0 | {
"file_path": "trl/docs/source/trainer.mdx",
"repo_id": "trl",
"token_count": 322
} | 416 |
from dataclasses import dataclass, field
from typing import Optional
import torch
from peft import PeftConfig, PeftModel
from transformers import AutoModelForCausalLM, AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser
@dataclass
class ScriptArguments:
"""
The input names representing the Ad... | trl/examples/research_projects/stack_llama/scripts/merge_peft_adapter.py/0 | {
"file_path": "trl/examples/research_projects/stack_llama/scripts/merge_peft_adapter.py",
"repo_id": "trl",
"token_count": 657
} | 417 |
# coding=utf-8
# Copyright 2023 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... | trl/examples/scripts/ppo.py/0 | {
"file_path": "trl/examples/scripts/ppo.py",
"repo_id": "trl",
"token_count": 2735
} | 418 |
import unittest
import torch
from transformers import AutoTokenizer, GenerationConfig
from trl import AutoModelForCausalLMWithValueHead
from trl.core import LengthSampler
from trl.extras import BestOfNSampler
def queries_to_scores(list_of_strings):
return [torch.rand(1).item() for _ in list_of_strings]
class ... | trl/tests/test_best_of_n_sampler.py/0 | {
"file_path": "trl/tests/test_best_of_n_sampler.py",
"repo_id": "trl",
"token_count": 1507
} | 419 |
# Copyright 2023 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... | trl/tests/testing_utils.py/0 | {
"file_path": "trl/tests/testing_utils.py",
"repo_id": "trl",
"token_count": 1062
} | 420 |
import os
import sys
import warnings
from dataclasses import dataclass, field
from typing import Literal, Optional
from ..core import flatten_dict
from ..import_utils import is_bitsandbytes_available, is_torchvision_available
@dataclass
class DDPOConfig:
"""
Configuration class for DDPOTrainer
"""
#... | trl/trl/trainer/ddpo_config.py/0 | {
"file_path": "trl/trl/trainer/ddpo_config.py",
"repo_id": "trl",
"token_count": 1777
} | 421 |
import gc
import threading
import time
import psutil
import torch
class PeakCPUMemory:
def __init__(self):
self.process = psutil.Process()
self.peak_monitoring = False
def peak_monitor(self):
self.cpu_memory_peak = -1
while True:
self.cpu_memory_peak = max(self.p... | accelerate/benchmarks/measures_util.py/0 | {
"file_path": "accelerate/benchmarks/measures_util.py",
"repo_id": "accelerate",
"token_count": 989
} | 0 |
<!--Copyright 2023 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 applicable law or agreed... | accelerate/docs/source/concept_guides/low_precision_training.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/low_precision_training.md",
"repo_id": "accelerate",
"token_count": 1465
} | 1 |
<!--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 required by applicable law or agreed... | accelerate/docs/source/package_reference/torch_wrappers.md/0 | {
"file_path": "accelerate/docs/source/package_reference/torch_wrappers.md",
"repo_id": "accelerate",
"token_count": 381
} | 2 |
<!--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 applicable law or agreed... | accelerate/docs/source/usage_guides/mps.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/mps.md",
"repo_id": "accelerate",
"token_count": 861
} | 3 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/manim_animations/big_model_inference/stage_1.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_1.py",
"repo_id": "accelerate",
"token_count": 1904
} | 4 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/commands/config/config.py/0 | {
"file_path": "accelerate/src/accelerate/commands/config/config.py",
"repo_id": "accelerate",
"token_count": 1067
} | 5 |
#!/usr/bin/env python
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | accelerate/src/accelerate/commands/tpu.py/0 | {
"file_path": "accelerate/src/accelerate/commands/tpu.py",
"repo_id": "accelerate",
"token_count": 2117
} | 6 |
# 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... | accelerate/src/accelerate/test_utils/scripts/external_deps/test_peak_memory_usage.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/external_deps/test_peak_memory_usage.py",
"repo_id": "accelerate",
"token_count": 4301
} | 7 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/environment.py/0 | {
"file_path": "accelerate/src/accelerate/utils/environment.py",
"repo_id": "accelerate",
"token_count": 1509
} | 8 |
{
"fp16": {
"enabled": "auto",
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"bf16": {
"enabled": "auto"
},
"optimizer": {
"type": "AdamW",
"params": {
... | accelerate/tests/deepspeed/ds_config_zero2.json/0 | {
"file_path": "accelerate/tests/deepspeed/ds_config_zero2.json",
"repo_id": "accelerate",
"token_count": 680
} | 9 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_hooks.py/0 | {
"file_path": "accelerate/tests/test_hooks.py",
"repo_id": "accelerate",
"token_count": 6998
} | 10 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_tracking.py/0 | {
"file_path": "accelerate/tests/test_tracking.py",
"repo_id": "accelerate",
"token_count": 10266
} | 11 |
#!/bin/bash
#SBATCH --ntasks-per-node=1
#SBATCH --exclusive
#SBATCH --gres=gpu:8
#SBATCH --partition=hopper-prod # Adjust this for your cluster
#SBATCH --output=/fsx/h4/logs/%x-%j.out # Adjust this for your cluster
#SBATCH --err=/fsx/h4/logs/%x-%j.err # Adjust this for your cluster
set -x -e
source ~/.bashrc
cond... | alignment-handbook/recipes/launch.slurm/0 | {
"file_path": "alignment-handbook/recipes/launch.slurm",
"repo_id": "alignment-handbook",
"token_count": 1135
} | 12 |
# coding=utf-8
# Copyright 2023 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... | alignment-handbook/src/alignment/configs.py/0 | {
"file_path": "alignment-handbook/src/alignment/configs.py",
"repo_id": "alignment-handbook",
"token_count": 4235
} | 13 |
[workspace]
members = [
"candle-core",
"candle-datasets",
"candle-examples",
"candle-book",
"candle-nn",
"candle-pyo3",
"candle-transformers",
"candle-wasm-examples/*",
"candle-wasm-tests",
]
exclude = [
"candle-flash-attn",
"candle-kernels",
"candle-metal-kernels",
"cand... | candle/Cargo.toml/0 | {
"file_path": "candle/Cargo.toml",
"repo_id": "candle",
"token_count": 1142
} | 14 |
# Advanced Cuda usage
| candle/candle-book/src/cuda/README.md/0 | {
"file_path": "candle/candle-book/src/cuda/README.md",
"repo_id": "candle",
"token_count": 6
} | 15 |
# Serialization
| candle/candle-book/src/training/serialization.md/0 | {
"file_path": "candle/candle-book/src/training/serialization.md",
"repo_id": "candle",
"token_count": 4
} | 16 |
#![allow(dead_code)]
use libc::{c_char, c_double, c_float, c_int, c_long, c_ulong};
mod ffi {
use super::*;
extern "C" {
// It would be nice to be able to switch to the NEWLAPACK version of the function but this
// seems to trigger some link error. Available function names can be seen here:
... | candle/candle-core/src/accelerate.rs/0 | {
"file_path": "candle/candle-core/src/accelerate.rs",
"repo_id": "candle",
"token_count": 7229
} | 17 |
//! Types for elements that can be stored and manipulated using tensors.
#![allow(clippy::redundant_closure_call)]
use crate::backend::BackendStorage;
use crate::{CpuStorage, Error, Result};
/// The different types of elements allowed in tensors.
#[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
pub enum DType {
... | candle/candle-core/src/dtype.rs/0 | {
"file_path": "candle/candle-core/src/dtype.rs",
"repo_id": "candle",
"token_count": 2875
} | 18 |
use super::{GgmlDType, QStorage};
use crate::{DType, MetalDevice, MetalStorage, Result};
use metal::Buffer;
use std::sync::Arc;
pub struct QMetalStorage {
dtype: GgmlDType,
device: MetalDevice,
buffer: Arc<Buffer>,
}
impl QMetalStorage {
pub fn dtype(&self) -> GgmlDType {
self.dtype
}
... | candle/candle-core/src/quantized/metal.rs/0 | {
"file_path": "candle/candle-core/src/quantized/metal.rs",
"repo_id": "candle",
"token_count": 3337
} | 19 |
use anyhow::Result;
use candle_core::{DType, Device::Cpu, Tensor};
#[test]
fn display_scalar() -> Result<()> {
let t = Tensor::new(1234u32, &Cpu)?;
let s = format!("{t}");
assert_eq!(&s, "[1234]\nTensor[[], u32]");
let t = t.to_dtype(DType::F32)?.neg()?;
let s = format!("{}", (&t / 10.0)?);
ass... | candle/candle-core/tests/display_tests.rs/0 | {
"file_path": "candle/candle-core/tests/display_tests.rs",
"repo_id": "candle",
"token_count": 1395
} | 20 |
pub mod tinystories;
| candle/candle-datasets/src/nlp/mod.rs/0 | {
"file_path": "candle/candle-datasets/src/nlp/mod.rs",
"repo_id": "candle",
"token_count": 6
} | 21 |
#include <stdint.h>
#include "reduction_utils.cuh"
template <typename scalar_t>
__device__ void
rms_norm_kernel(scalar_t *__restrict__ out, // [num_tokens, hidden_size]
const scalar_t *__restrict__ input, // [num_tokens, hidden_size]
const float epsilon, const uint32_t num_token... | candle/candle-examples/examples/custom-ops/kernels/layernorm_kernels.cu/0 | {
"file_path": "candle/candle-examples/examples/custom-ops/kernels/layernorm_kernels.cu",
"repo_id": "candle",
"token_count": 561
} | 22 |
use candle::backend::BackendStorage;
use candle::{CpuStorage, CustomOp1, DType, Device, IndexOp, Layout, Result, Shape, Tensor, D};
use candle_nn::{Embedding, Linear, Module, RmsNorm};
use cudarc::nccl::safe::{Comm, ReduceOp};
use half::f16;
use serde::Deserialize;
use std::rc::Rc;
use std::sync::{Arc, Mutex};
use sup... | candle/candle-examples/examples/llama_multiprocess/model.rs/0 | {
"file_path": "candle/candle-examples/examples/llama_multiprocess/model.rs",
"repo_id": "candle",
"token_count": 7542
} | 23 |
use crate::encodec_model;
use candle::{DType, Device, Result, Tensor, D};
use candle_nn::{
embedding, layer_norm, linear_no_bias, Activation, Embedding, LayerNorm, Linear, Module,
VarBuilder,
};
use candle_transformers::models::t5;
// https://github.com/huggingface/transformers/blob/cd4584e3c809bb9e1392ccd3fe3... | candle/candle-examples/examples/musicgen/musicgen_model.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/musicgen_model.rs",
"repo_id": "candle",
"token_count": 7041
} | 24 |
#![allow(unused)]
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::Result;
use clap::{Parser, Subcommand};
mod gym_env;
mod vec_gym_env;
mod ddpg;
mod policy_gradient;
#[derive(Parser)]
struct Args {
#[command(subcommand)]
command:... | candle/candle-examples/examples/reinforcement-learning/main.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/main.rs",
"repo_id": "candle",
"token_count": 252
} | 25 |
// https://github.com/openai/whisper/blob/main/whisper/model.py/rgs
// TODO:
// - Batch size greater than 1.
// - More token filters (SuppressBlanks, ApplyTimestampRules).
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use anyhow::{Error as E, Result};... | candle/candle-examples/examples/whisper/main.rs/0 | {
"file_path": "candle/candle-examples/examples/whisper/main.rs",
"repo_id": "candle",
"token_count": 10824
} | 26 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
mod model;
use model::{Multiples, YoloV8, YoloV8Pose};
use candle::{DType, Device, IndexOp, Result, Tensor};
use candle_nn::{Module, VarBuilder};
use candle_transformers::object_detection::{non_maximum_sup... | candle/candle-examples/examples/yolo-v8/main.rs/0 | {
"file_path": "candle/candle-examples/examples/yolo-v8/main.rs",
"repo_id": "candle",
"token_count": 7436
} | 27 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include "cute/algorithm/copy.hpp"
#include "cutlass/cutlass.h"
#include "cutlass/layout/layout.h"
#include <cu... | candle/candle-flash-attn/kernels/kernel_traits.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/kernel_traits.h",
"repo_id": "candle",
"token_count": 9290
} | 28 |
#include "cuda_fp16.h"
#include "cuda_bf16.h"
// Table showing which features are supported on which compute capability
// https://docs.nvidia.com/cuda/cuda-c-programming-guide/#features-and-technical-specifications
// FIXME: the minimum compute capabilities are just guesses since the table is not specific enough
#i... | candle/candle-kernels/src/compatibility.cuh/0 | {
"file_path": "candle/candle-kernels/src/compatibility.cuh",
"repo_id": "candle",
"token_count": 2734
} | 29 |
use metal::{
Buffer, CommandBufferRef, CompileOptions, ComputeCommandEncoderRef, ComputePipelineState,
Device, Function, FunctionConstantValues, Library, MTLDataType, MTLSize, NSUInteger,
};
use std::collections::HashMap;
use std::ffi::c_void;
use std::sync::RwLock;
const AFFINE: &str = include_str!("affine.me... | candle/candle-metal-kernels/src/lib.rs/0 | {
"file_path": "candle/candle-metal-kernels/src/lib.rs",
"repo_id": "candle",
"token_count": 25093
} | 30 |
use candle::{Result, Tensor};
use serde::Deserialize;
#[derive(Debug, Clone, Copy, PartialEq, Deserialize, Default)]
#[serde(rename_all = "lowercase")]
pub enum Activation {
#[default]
Gelu,
#[serde(alias = "gelu_new")]
NewGelu,
Relu,
Relu2,
Relu6,
Silu,
Sigmoid,
HardSigmoid,
... | candle/candle-nn/src/activation.rs/0 | {
"file_path": "candle/candle-nn/src/activation.rs",
"repo_id": "candle",
"token_count": 1573
} | 31 |
//! A `VarBuilder` is used to retrieve variables used by a model. These variables can either come
//! from a pre-trained checkpoint, e.g. using `VarBuilder::from_mmaped_safetensors`, or initialized
//! for training, e.g. using `VarBuilder::from_varmap`.
use crate::VarMap;
use candle::{safetensors::Load, DType, Device, ... | candle/candle-nn/src/var_builder.rs/0 | {
"file_path": "candle/candle-nn/src/var_builder.rs",
"repo_id": "candle",
"token_count": 8512
} | 32 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{Device, Result, Tensor};
use candle_onnx::onnx::{GraphProto, ModelProto, NodeProto, ValueInfoProto};
use std::collections::HashMap;
const INPUT_X: &str = "x";
const INPUT_Y: &str = "y";
const ... | candle/candle-onnx/tests/ops.rs/0 | {
"file_path": "candle/candle-onnx/tests/ops.rs",
"repo_id": "candle",
"token_count": 10757
} | 33 |
import math
from typing import Any
import candle
from candle import Tensor
from .module import Module
# See https://github.com/pytorch/pytorch/blob/main/torch/nn/modules/linear.py
class Identity(Module):
r"""A placeholder identity operator that is argument-insensitive.
Args:
args: any argument (unu... | candle/candle-pyo3/py_src/candle/nn/linear.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/linear.py",
"repo_id": "candle",
"token_count": 1947
} | 34 |
# See: https://raw.githubusercontent.com/huggingface/tokenizers/main/bindings/python/stub.py
import argparse
import inspect
import os
from typing import Optional
import black
from pathlib import Path
import re
INDENT = " " * 4
GENERATED_COMMENT = "# Generated content DO NOT EDIT\n"
TYPING = """from typing import Any,... | candle/candle-pyo3/stub.py/0 | {
"file_path": "candle/candle-pyo3/stub.py",
"repo_id": "candle",
"token_count": 3868
} | 35 |
use super::blip_text;
use super::with_tracing::{conv2d, linear, Conv2d, Linear};
use candle::{Module, Result, Tensor, D};
use candle_nn::{layer_norm, Conv2dConfig, LayerNorm, VarBuilder};
use serde::Deserialize;
#[derive(Debug, Clone, Deserialize)]
pub struct VisionConfig {
pub hidden_size: usize,
pub intermed... | candle/candle-transformers/src/models/blip.rs/0 | {
"file_path": "candle/candle-transformers/src/models/blip.rs",
"repo_id": "candle",
"token_count": 4590
} | 36 |
pub mod bert;
pub mod bigcode;
pub mod blip;
pub mod blip_text;
pub mod convmixer;
pub mod dinov2;
pub mod distilbert;
pub mod efficientnet;
pub mod falcon;
pub mod jina_bert;
pub mod llama;
pub mod llama2_c;
pub mod llama2_c_weights;
pub mod marian;
pub mod mistral;
pub mod mixformer;
pub mod mixtral;
pub mod mobileon... | candle/candle-transformers/src/models/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mod.rs",
"repo_id": "candle",
"token_count": 317
} | 37 |
use candle::{IndexOp, Result, Tensor};
use candle_nn::{Module, VarBuilder};
use super::transformer::TwoWayTransformer;
#[derive(Debug)]
struct MlpMaskDecoder {
layers: Vec<super::Linear>,
sigmoid_output: bool,
span: tracing::Span,
}
impl MlpMaskDecoder {
fn new(
input_dim: usize,
hidd... | candle/candle-transformers/src/models/segment_anything/mask_decoder.rs/0 | {
"file_path": "candle/candle-transformers/src/models/segment_anything/mask_decoder.rs",
"repo_id": "candle",
"token_count": 4213
} | 38 |
//! 2D UNet Building Blocks
//!
use super::attention::{
AttentionBlock, AttentionBlockConfig, SpatialTransformer, SpatialTransformerConfig,
};
use super::resnet::{ResnetBlock2D, ResnetBlock2DConfig};
use crate::models::with_tracing::{conv2d, Conv2d};
use candle::{Module, Result, Tensor, D};
use candle_nn as nn;
#[... | candle/candle-transformers/src/models/stable_diffusion/unet_2d_blocks.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/unet_2d_blocks.rs",
"repo_id": "candle",
"token_count": 13815
} | 39 |
use super::common::{AttnBlock, GlobalResponseNorm, LayerNormNoWeights, TimestepBlock, WLayerNorm};
use candle::{DType, Module, Result, Tensor, D};
use candle_nn::VarBuilder;
#[derive(Debug)]
pub struct ResBlockStageB {
depthwise: candle_nn::Conv2d,
norm: WLayerNorm,
channelwise_lin1: candle_nn::Linear,
... | candle/candle-transformers/src/models/wuerstchen/diffnext.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/diffnext.rs",
"repo_id": "candle",
"token_count": 8148
} | 40 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle Bert</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
@import u... | candle/candle-wasm-examples/bert/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/bert/lib-example.html",
"repo_id": "candle",
"token_count": 6066
} | 41 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle Llama.c Rust/WASM</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
... | candle/candle-wasm-examples/llama2-c/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/lib-example.html",
"repo_id": "candle",
"token_count": 6089
} | 42 |
[package]
name = "candle-wasm-example-sam"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-trans... | candle/candle-wasm-examples/segment-anything/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/Cargo.toml",
"repo_id": "candle",
"token_count": 264
} | 43 |
export async function extractEmbeddings(
worker,
weightsURL,
tokenizerURL,
configURL,
modelID,
sentences,
updateStatus,
normalize_embeddings = true
) {
return new Promise((resolve, reject) => {
worker.postMessage({
weightsURL,
tokenizerURL,
configURL,
modelID,
sentenc... | candle/candle-wasm-examples/t5/utils.js/0 | {
"file_path": "candle/candle-wasm-examples/t5/utils.js",
"repo_id": "candle",
"token_count": 2339
} | 44 |
[package]
name = "candle-wasm-example-yolo"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
num-traits ... | candle/candle-wasm-examples/yolo/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/yolo/Cargo.toml",
"repo_id": "candle",
"token_count": 463
} | 45 |
pub fn add(left: usize, right: usize) -> usize {
left + right
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn it_works() {
let result = add(2, 2);
assert_eq!(result, 4);
}
}
| candle/candle-wasm-tests/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-tests/src/lib.rs",
"repo_id": "candle",
"token_count": 108
} | 46 |
# Prompt templates
These are the templates used to format the conversation history for different models used in HuggingChat. Set them in your `.env.local` [like so](https://github.com/huggingface/chat-ui#chatprompttemplate).
## Llama 2
```env
<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}... | chat-ui/PROMPTS.md/0 | {
"file_path": "chat-ui/PROMPTS.md",
"repo_id": "chat-ui",
"token_count": 1012
} | 47 |
<script lang="ts">
import type { readAndCompressImage } from "browser-image-resizer";
import type { Model } from "$lib/types/Model";
import type { Assistant } from "$lib/types/Assistant";
import { onMount } from "svelte";
import { applyAction, enhance } from "$app/forms";
import { base } from "$app/paths";
impo... | chat-ui/src/lib/components/AssistantSettings.svelte/0 | {
"file_path": "chat-ui/src/lib/components/AssistantSettings.svelte",
"repo_id": "chat-ui",
"token_count": 3724
} | 48 |
<script lang="ts">
export let checked: boolean;
export let name: string;
</script>
<input bind:checked type="checkbox" {name} class="peer pointer-events-none absolute opacity-0" />
<div
aria-checked={checked}
aria-roledescription="switch"
aria-label="switch"
role="switch"
tabindex="0"
class="relative inline-fl... | chat-ui/src/lib/components/Switch.svelte/0 | {
"file_path": "chat-ui/src/lib/components/Switch.svelte",
"repo_id": "chat-ui",
"token_count": 239
} | 49 |
<script lang="ts">
export let classNames = "";
</script>
<svg
class={classNames}
xmlns="http://www.w3.org/2000/svg"
aria-hidden="true"
focusable="false"
role="img"
width="1em"
height="1em"
preserveAspectRatio="xMidYMid meet"
viewBox="0 0 20 20"
>
><path
fill-rule="evenodd"
d="M1.5 10a8.5 8.5 0 1 0 17 0a... | chat-ui/src/lib/components/icons/IconInternet.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconInternet.svelte",
"repo_id": "chat-ui",
"token_count": 684
} | 50 |
import { buildPrompt } from "$lib/buildPrompt";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type { Endpoint } from "../endpoints";
import { z } from "zod";
export const endpointOllamaParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
ty... | chat-ui/src/lib/server/endpoints/ollama/endpointOllama.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/ollama/endpointOllama.ts",
"repo_id": "chat-ui",
"token_count": 1147
} | 51 |
import { base } from "$app/paths";
import { ERROR_MESSAGES, error } from "$lib/stores/errors";
import { share } from "./utils/share";
import { page } from "$app/stores";
import { get } from "svelte/store";
import { getShareUrl } from "./utils/getShareUrl";
export async function shareConversation(id: string, title: stri... | chat-ui/src/lib/shareConversation.ts/0 | {
"file_path": "chat-ui/src/lib/shareConversation.ts",
"repo_id": "chat-ui",
"token_count": 359
} | 52 |
import type { ObjectId } from "mongodb";
import type { User } from "./User";
import type { Assistant } from "./Assistant";
import type { Timestamps } from "./Timestamps";
export interface Report extends Timestamps {
_id: ObjectId;
createdBy: User["_id"] | string;
assistantId: Assistant["_id"];
}
| chat-ui/src/lib/types/Report.ts/0 | {
"file_path": "chat-ui/src/lib/types/Report.ts",
"repo_id": "chat-ui",
"token_count": 95
} | 53 |
import type { Conversation } from "$lib/types/Conversation";
import { sha256 } from "./sha256";
export async function hashConv(conv: Conversation) {
// messages contains the conversation message but only the immutable part
const messages = conv.messages.map((message) => {
return (({ from, id, content, webSearchId ... | chat-ui/src/lib/utils/hashConv.ts/0 | {
"file_path": "chat-ui/src/lib/utils/hashConv.ts",
"repo_id": "chat-ui",
"token_count": 132
} | 54 |
import { collections } from "$lib/server/database";
import { authCondition } from "$lib/server/auth";
import { z } from "zod";
import { ObjectId } from "mongodb";
export async function GET({ locals, params }) {
const id = z.string().parse(params.id);
const convId = new ObjectId(id);
if (locals.user?._id || locals.... | chat-ui/src/routes/api/conversation/[id]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/conversation/[id]/+server.ts",
"repo_id": "chat-ui",
"token_count": 396
} | 55 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import type { RequestHandler } from "./$types";
import { downloadFile } from "$lib/server/files/downloadFile";
export... | chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts",
"repo_id": "chat-ui",
"token_count": 439
} | 56 |
import { base } from "$app/paths";
import { redirect } from "@sveltejs/kit";
export async function load({ parent, params }) {
const data = await parent();
const model = data.models.find(({ id }) => id === params.model);
if (!model || model.unlisted) {
throw redirect(302, `${base}/settings`);
}
return data;
}... | chat-ui/src/routes/settings/[...model]/+page.ts/0 | {
"file_path": "chat-ui/src/routes/settings/[...model]/+page.ts",
"repo_id": "chat-ui",
"token_count": 105
} | 57 |
# Process audio data
This guide shows specific methods for processing audio datasets. Learn how to:
- Resample the sampling rate.
- Use [`~Dataset.map`] with audio datasets.
For a guide on how to process any type of dataset, take a look at the <a class="underline decoration-sky-400 decoration-2 font-semibold" href="... | datasets/docs/source/audio_process.mdx/0 | {
"file_path": "datasets/docs/source/audio_process.mdx",
"repo_id": "datasets",
"token_count": 1186
} | 58 |
<!--Copyright 2023 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 applicable law or agreed... | datasets/docs/source/quickstart.mdx/0 | {
"file_path": "datasets/docs/source/quickstart.mdx",
"repo_id": "datasets",
"token_count": 6014
} | 59 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/accuracy/accuracy.py/0 | {
"file_path": "datasets/metrics/accuracy/accuracy.py",
"repo_id": "datasets",
"token_count": 1611
} | 60 |
# Metric Card for Competition MATH
## Metric description
This metric is used to assess performance on the [Mathematics Aptitude Test of Heuristics (MATH) dataset](https://huggingface.co/datasets/competition_math).
It first canonicalizes the inputs (e.g., converting `1/2` to `\\frac{1}{2}`) and then computes accurac... | datasets/metrics/competition_math/README.md/0 | {
"file_path": "datasets/metrics/competition_math/README.md",
"repo_id": "datasets",
"token_count": 1135
} | 61 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | datasets/metrics/google_bleu/google_bleu.py/0 | {
"file_path": "datasets/metrics/google_bleu/google_bleu.py",
"repo_id": "datasets",
"token_count": 4259
} | 62 |
# Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/mse/mse.py/0 | {
"file_path": "datasets/metrics/mse/mse.py",
"repo_id": "datasets",
"token_count": 1715
} | 63 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/sari/sari.py/0 | {
"file_path": "datasets/metrics/sari/sari.py",
"repo_id": "datasets",
"token_count": 4913
} | 64 |
# Metric Card for WER
## Metric description
Word error rate (WER) is a common metric of the performance of an automatic speech recognition (ASR) system.
The general difficulty of measuring the performance of ASR systems lies in the fact that the recognized word sequence can have a different length from the reference... | datasets/metrics/wer/README.md/0 | {
"file_path": "datasets/metrics/wer/README.md",
"repo_id": "datasets",
"token_count": 1325
} | 65 |
# Copyright 2020 The TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | datasets/src/datasets/download/mock_download_manager.py/0 | {
"file_path": "datasets/src/datasets/download/mock_download_manager.py",
"repo_id": "datasets",
"token_count": 4438
} | 66 |
# Copyright 2020 The HuggingFace Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | datasets/src/datasets/formatting/tf_formatter.py/0 | {
"file_path": "datasets/src/datasets/formatting/tf_formatter.py",
"repo_id": "datasets",
"token_count": 1885
} | 67 |
# Copyright 2020 The HuggingFace Datasets Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | datasets/src/datasets/metric.py/0 | {
"file_path": "datasets/src/datasets/metric.py",
"repo_id": "datasets",
"token_count": 11907
} | 68 |
from typing import List
import datasets
from datasets.tasks import ImageClassification
from ..folder_based_builder import folder_based_builder
logger = datasets.utils.logging.get_logger(__name__)
class ImageFolderConfig(folder_based_builder.FolderBasedBuilderConfig):
"""BuilderConfig for ImageFolder."""
... | datasets/src/datasets/packaged_modules/imagefolder/imagefolder.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/imagefolder/imagefolder.py",
"repo_id": "datasets",
"token_count": 883
} | 69 |
from .parallel import parallel_backend, parallel_map, ParallelBackendConfig # noqa F401
| datasets/src/datasets/parallel/__init__.py/0 | {
"file_path": "datasets/src/datasets/parallel/__init__.py",
"repo_id": "datasets",
"token_count": 25
} | 70 |
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