repo_id stringlengths 15 89 | file_path stringlengths 27 180 | content stringlengths 1 2.23M | __index_level_0__ int64 0 0 |
|---|---|---|---|
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/big_modeling.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/cli.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/torch_wrappers.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/launchers.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/deepspeed.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/fsdp.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/state.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/megatron_lm.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/tracking.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/utilities.md | <!--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... | 0 |
hf_public_repos/accelerate/docs/source | hf_public_repos/accelerate/docs/source/package_reference/logging.md | <!--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... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/utils/stale.py | # Copyright 2022 The HuggingFace Team, the AllenNLP library 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
#
... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/utils/log_reports.py | import json
import os
from datetime import date
from pathlib import Path
from tabulate import DataRow, TableFormat, tabulate
hf_table_format = TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("", "|", "|"),
datarow=DataRow("", "|", "|"... | 0 |
hf_public_repos/accelerate/docker | hf_public_repos/accelerate/docker/accelerate-cpu/Dockerfile | # Builds CPU-only Docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
FROM python:3.8-slim as compile-image
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt-get install -y --no-install-recommends \
build-essential \
git \
gcc
# Setup virtual environment for Docker
ENV V... | 0 |
hf_public_repos/accelerate/docker | hf_public_repos/accelerate/docker/accelerate-gpu/Dockerfile | # Builds GPU docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
# Use base conda image to reduce time
FROM continuumio/miniconda3:latest AS compile-image
# Specify py version
ENV PYTHON_VERSION=3.8
# Install apt libs
RUN apt-get update && \
apt-get install -y curl git wget && \
apt-ge... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/benchmarks/measures_util.py | 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... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/benchmarks/README.md | # Big model inference benchmarks
Running inference with Accelerate on big models.
## Setup
These benchmarks use the `transformers` library:
```bash
pip install transformers
```
To reproduce or test a new setup, run
```py
python inference_acc.py model_name
```
This script supports `gpt-j-6b`, `gpt-neox`, `opt` (3... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/benchmarks/big_model_inference.py | # Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/README.md | <!---
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 ... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/multigpu_remote_launcher.py | import argparse
import runhouse as rh
import torch
from nlp_example import training_function
from accelerate.utils import PrepareForLaunch, patch_environment
def launch_train(*args):
num_processes = torch.cuda.device_count()
print(f"Device count: {num_processes}")
with patch_environment(
world_s... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/complete_cv_example.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/complete_nlp_example.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/requirements.txt | accelerate # used to be installed in Amazon SageMaker environment
evaluate
datasets==2.3.2 | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/cv_example.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate | hf_public_repos/accelerate/examples/nlp_example.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/README.md | # What are these scripts?
All scripts in this folder originate from the `nlp_example.py` file, as it is a very simplistic NLP training example using Accelerate with zero extra features.
From there, each further script adds in just **one** feature of Accelerate, showing how you can quickly modify your own scripts to i... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/multi_process_metrics.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... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/memory.py | # Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/local_sgd.py | # 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... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/tracking.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/early_stopping.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/megatron_lm_gpt_pretraining.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... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/cross_validation.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... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/gradient_accumulation.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/checkpointing.py | # 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/LICENSE-2.0
#
# Unless r... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/automatic_gradient_accumulation.py | # Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/by_feature/deepspeed_with_config_support.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... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/deepspeed_config_templates/zero_stage2_config.json | {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/deepspeed_config_templates/zero_stage3_config.json | {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/deepspeed_config_templates/zero_stage2_offload_config.json | {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/deepspeed_config_templates/zero_stage1_config.json | {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/deepspeed_config_templates/zero_stage3_offload_config.json | {
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/slurm/submit_multinode.sh | #!/bin/bash
#SBATCH --job-name=multinode
#SBATCH -D .
#SBATCH --output=O-%x.%j
#SBATCH --error=E-%x.%j
#SBATCH --nodes=4 # number of nodes
#SBATCH --ntasks-per-node=1 # number of MP tasks
#SBATCH --gres=gpu:4 # number of GPUs per node
#SBATCH --cpus-per-task=160 # numbe... | 0 |
hf_public_repos/accelerate/examples | hf_public_repos/accelerate/examples/slurm/submit_multigpu.sh | #!/bin/bash
#SBATCH --job-name=multigpu
#SBATCH -D .
#SBATCH --output=O-%x.%j
#SBATCH --error=E-%x.%j
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1 # number of MP tasks
#SBATCH --gres=gpu:4 # number of GPUs per node
#SBATCH --cpus-per-task=160 # number of cores per tasks
#SBATCH --time=0... | 0 |
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