repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
SGA | SGA-main/py/SGA/webapp/__init__.py | 0 | 0 | 0 | py | |
SGA | SGA-main/py/SGA/webapp/urls.py | #!/usr/bin/env python
"""URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='hom... | 1,221 | 32.027027 | 80 | py |
SGA | SGA-main/py/SGA/webapp/sample/views.py | #!/usr/bin/env python
"""Holds the functions that send http responses to the browser, including
rendering the html pages index.html, explore.html, and sample.html, or sending a
download file.
All logic that must be done before the browser renders the html occurs here,
including sessions, serialization, querying datab... | 9,790 | 32.646048 | 90 | py |
SGA | SGA-main/py/SGA/webapp/sample/app.py | from django.apps import AppConfig
from SGA.webapp.sample.templatetags import *
class SgaApp(AppConfig):
name = 'sample'
| 126 | 17.142857 | 44 | py |
SGA | SGA-main/py/SGA/webapp/sample/models.py | #!/usr/bin/env python
"""Each model will be written as a class here, instantiated and populated by
load.py, with each model stored as a table in the database and the fields stored
as columns.
"""
import os
import numpy as np
from django.db.models import (Model, IntegerField, CharField, FloatField, IPAddressField,
... | 9,751 | 30.057325 | 140 | py |
SGA | SGA-main/py/SGA/webapp/sample/__init__.py | 0 | 0 | 0 | py | |
SGA | SGA-main/py/SGA/webapp/sample/filters.py | #!/usr/bin/env python
"""Custom filters for the Sample model, which work by selecting Sample objects
in the database based on meeting the desired criteria.
"""
import django_filters
from SGA.webapp.sample.models import Sample
class SampleFilter(django_filters.FilterSet):
"""Custom filter for the Sample model. F... | 2,730 | 41.671875 | 94 | py |
SGA | SGA-main/py/SGA/webapp/sample/templatetags/my_templatetag.py | """
This document contains our custom template tags created for use in the legacyhalos html documents.
Each function must be registered before use, then loaded using {% load my_templatetag %} within the html document.
These functions can then be called from within the html code.
"""
import os
import astropy.io.fits
im... | 5,503 | 29.241758 | 139 | py |
SGA | SGA-main/py/SGA/webapp/sample/templatetags/__init__.py | 0 | 0 | 0 | py | |
SGA | SGA-main/py/SGA/sandbox/obsolete.py | def mgefit_multiband(galaxy, galaxydir, data, debug=False, nowrite=False,
noellipsefit=True, verbose=False):
"""MGE-fit the multiband data.
See http://www-astro.physics.ox.ac.uk/~mxc/software/#mge
"""
from mge.find_galaxy import find_galaxy
from mge.sectors_photometry import s... | 2,604 | 36.753623 | 103 | py |
SGA | SGA-main/py/SGA/sandbox/lslga-manifest.py | #!/usr/bin/env python
def main():
import os
import numpy as np
import fitsio
import astropy.table
lslgadir = '/Users/ioannis/research/projects/LSLGA/sample/v2.0'
lslgafile = os.path.join(lslgadir, 'LSLGA-v2.0.fits')
lslga = astropy.table.Table.read(lslgafile)
print('Read {} galaxi... | 1,042 | 30.606061 | 84 | py |
SGA | SGA-main/py/SGA/sandbox/groups.py | """
LSLGA.groups
============
Code to do construct various group catalogs.
"""
from __future__ import absolute_import, division, print_function
import os
import time
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style='ticks', font_scale=1.4, palette='Set2')
PIXSCALE = 0.262
def... | 4,895 | 36.661538 | 105 | py |
DeepSpeed | DeepSpeed-master/setup.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
DeepSpeed library
To build wheel on Windows:
1. Install pytorch, such as pytorch 1.12 + cuda 11.6.
2. Install visual cpp build tool.
3. Include cuda toolkit.
4. Launch cmd console with Administrator privilege for creatin... | 11,499 | 36.216828 | 139 | py |
DeepSpeed | DeepSpeed-master/deepspeed/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from datetime import timedelta
#############################################
# Torch distributed constants
#############################################
TORCH_DISTRIBUTED_DEFAULT_PORT = 29500
# Default process group wide t... | 733 | 33.952381 | 77 | py |
DeepSpeed | DeepSpeed-master/deepspeed/env_report.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import deepspeed
import subprocess
import argparse
from .ops.op_builder.all_ops import ALL_OPS
from .git_version_info import installed_ops, torch_info
from deepspeed.accelerator import get_accelerator
GREEN = '... | 4,804 | 37.134921 | 136 | py |
DeepSpeed | DeepSpeed-master/deepspeed/git_version_info.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
try:
# This is populated by setup.py
from .git_version_info_installed import * # noqa: F401
except ModuleNotFoundError:
import os
if os.path.isfile('version.txt'):
# Will be missing from checkouts t... | 756 | 31.913043 | 88 | py |
DeepSpeed | DeepSpeed-master/deepspeed/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import sys
import types
import json
from typing import Optional, Union
import torch
from torch.optim import Optimizer
from torch.optim.lr_scheduler import _LRScheduler
from packaging import version as pkg_version
try:
i... | 14,510 | 41.06087 | 157 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/zero_checkpoint.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from .constants import (BASE_OPTIMIZER_STATE, GROUP_PADDINGS, OPTIMIZER_STATE_DICT, PARTITION_COUNT)
from .reshape_utils import (basic_folder_validation, get_zero_files, merge_state)
from .reshape_3d_utils im... | 5,316 | 36.70922 | 110 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/reshape_meg_2d.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .reshape_utils import partition_data
class meg_2d_parallel_map(object):
def __init__(self, pp_degree, tp_degree):
self.pp_degree = pp_degree
self.tp_degree = tp_degree
self.map = {}
d... | 7,885 | 34.363229 | 114 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Various symbolic constants used for model checkpointing
"""
#########################################
# Optimizer checkpoint keys
#########################################
OPTIMIZER_STATE_DICT = "optimizer_state_dict"
FP... | 2,429 | 33.225352 | 83 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import torch
from .constants import (MODEL_FILE_PREFIX, MODEL_FILE_SUFFIX, OPTIM_FILE_SUFFIX, ZERO_FILE_PREFIX)
def get_model_ckpt_name_for_rank(base_folder, mp_rank_str):
ckpt_name = os.path.join(
ba... | 2,534 | 39.238095 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/reshape_3d_utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .reshape_utils import (get_files, get_files_with_prefix, partition_data, get_zero_files)
from .constants import (MODEL_FILE_PREFIX, LAYER_FILE_PREFIX)
from .reshape_meg_2d import (reshape_meg_2d_parallel, meg_2d_paral... | 4,674 | 40.741071 | 112 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/reshape_utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import torch
from collections import OrderedDict
from .constants import (ZERO_FILE_PREFIX, FP16_ZERO_FILE_PREFIX, BF16_ZERO_FILE_PREFIX)
def basic_folder_validation(dir):
assert os.path.exists(dir), f'{dir} p... | 2,888 | 28.783505 | 105 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/universal_checkpoint.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import torch
import types
from .constants import (FP32_WEIGHT_KEY, PARAM, VOCAB_DIVISIBILITY_PADDING_TENSOR, CAT_DIM)
def load_hp_checkpoint_state(self, folder, tp_rank, tp_world_size):
hp_mapping = self._hp_... | 4,888 | 49.927083 | 141 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .reshape_meg_2d import reshape_meg_2d_parallel
from .deepspeed_checkpoint import DeepSpeedCheckpoint
from .utils import (get_layer_ckpt_name_for_rank, get_model_ckpt_name_for_rank, get_zero_ckpt_name_for_rank)
from .... | 561 | 25.761905 | 108 | py |
DeepSpeed | DeepSpeed-master/deepspeed/checkpoint/deepspeed_checkpoint.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from typing import Dict
import torch
from .reshape_3d_utils import model_3d_desc
from .reshape_utils import (basic_folder_validation, merge_state, partition_data, get_files, get_files_with_prefix)
from .constants... | 12,012 | 41.448763 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/profiling/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
#########################################
# flops profiler
#########################################
# Flops profiler. By default, this feature is not enabled.
# Users can configure in ds_config.json as below example:
FLOPS_... | 1,243 | 24.916667 | 60 | py |
DeepSpeed | DeepSpeed-master/deepspeed/profiling/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.runtime.config_utils import get_scalar_param, DeepSpeedConfigObject
from deepspeed.profiling.constants import *
class DeepSpeedFlopsProfilerConfig(DeepSpeedConfigObject):
def __init__(self, param_dict):... | 1,959 | 40.702128 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/profiling/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/profiling/flops_profiler/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .profiler import *
| 120 | 16.285714 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/profiling/flops_profiler/profiler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
from functools import partial
from typing import List, Optional
from collections import OrderedDict
import numpy as np
from deepspeed.accelerator... | 51,583 | 39.26854 | 650 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
#########################################
# Compression Methods
# It has several sub-components
# #########################################
COMPRESSION_TRAINING = "compression_training"
SHARED_PARAMETERS = "shared_parameters... | 5,569 | 28.470899 | 83 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/basic_layer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import math
from torch import nn
from torch.nn import init
import deepspeed.comm as dist
from .utils import TopKBinarizer, SymQuantizer, AsymQuantizer, TernaryQuantizer, BinaryQuantizer
from deepspeed.utils impo... | 36,033 | 41.846611 | 169 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/compress.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import re
from .helper import compression_preparation, fix_compression, recursive_getattr, is_module_compressible
from .config import get_compression_config
from ..runtime.config_utils import dict_raise_error_on_duplicate_ke... | 11,886 | 48.529167 | 167 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from torch import autograd
import math
class TopKBinarizer(autograd.Function):
"""
Top-k Binarizer.
Computes a binary mask M from a real value matrix S such that `M_{i,j} = 1` if and only if `S_{i,... | 7,818 | 34.06278 | 108 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/helper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from .basic_layer import Embedding_Compress, LinearLayer_Compress, Conv2dLayer_Compress, BNLayer_Compress, ColumnParallelLinear_Compress, RowParallelLinear_Compress
from .constants import *
from deepspeed.utils ... | 14,637 | 44.318885 | 165 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/scheduler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .compress import get_module_name
from .constants import *
from .helper import recursive_getattr
from deepspeed.utils import logger
class compression_scheduler():
'''
Used to schedule different compression meth... | 8,161 | 45.64 | 112 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .constants import *
import copy
from ..runtime.config_utils import get_scalar_param, get_list_param
def get_compression_config(param_dict):
#
output = {}
if COMPRESSION_TRAINING not in param_dict.keys():
... | 25,067 | 54.337748 | 159 | py |
DeepSpeed | DeepSpeed-master/deepspeed/compression/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .compress import init_compression, redundancy_clean
from .scheduler import compression_scheduler
from .helper import convert_conv1d_to_linear
| 243 | 26.111111 | 56 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/lr_schedules.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Implementation of learning rate schedules.
Taken and modified from PyTorch v1.0.1 source
https://github.com/pytorch/pytorch/blob/v1.1.0/torch/optim/lr_scheduler.py
"""
import argparse
from torch.optim import Optimizer
i... | 33,541 | 42.903141 | 164 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/bf16_optimizer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from collections import OrderedDict
import torch
import sys
import os
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from deepspeed import comm as dist
from deepspeed.runtime.constants import PIPE_... | 18,534 | 42.611765 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import re
import stat
import torch
import hashlib
from collections import defaultdict, OrderedDict, deque
from shutil import copyfile
import gc
from torch.nn.modules import Module
from torch.nn.parameter import Pa... | 157,235 | 45.12379 | 506 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
#############################################
# Routes
#############################################
ROUTE_TRAIN = "train"
ROUTE_EVAL = "eval"
ROUTE_PREDICT = "predict"
ROUTE_ENCODE = "encode"
##############################... | 12,971 | 29.666667 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/config_utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Collection of DeepSpeed configuration utilities
"""
import json
import collections
import collections.abc
from functools import reduce
from pydantic import BaseModel
from deepspeed.utils import logger
class DeepSpeedCon... | 8,199 | 38.805825 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/weight_quantizer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from ..module_inject.replace_policy import HFBertLayerPolicy, replace_policies
from deepspeed.accelerator import get_accelerator
class WeightQuantization(object):
def __init__(self, mlp_extra_grouping=Tru... | 7,027 | 44.636364 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/dataloader.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from torch.utils.data import DataLoader, RandomSampler
from torch.utils.data.distributed import DistributedSampler
from deepspeed.accelerator import get_accelerator
from deepspeed.runtime.data_pipeline.data_sampling.data_sa... | 6,977 | 41.809816 | 110 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/eigenvalue.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.utils import log_dist
import numpy as np
import logging
class Eigenvalue(object):
def __init__(self,
verbose=False,
max_iter=100,
tol=1e-2... | 5,625 | 36.506667 | 211 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Copyright NVIDIA/Megatron
Helper functions and classes from multiple sources.
"""
from collections.abc import Iterable
from deepspeed.moe.utils import is_moe_param
import os
import psutil
import gc
from math import sqrt... | 35,805 | 35.686475 | 116 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/progressive_layer_drop.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import numpy as np
from deepspeed.utils import log_dist
class ProgressiveLayerDrop(object):
r""" Progressive Layer Dropping (PLD) for model training.
This implements the PLD technique for compressed model train... | 1,353 | 32.02439 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/state_dict_factory.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import os
import copy
import collections
import json
from abc import ABC, abstractmethod
from deepspeed.utils import logger
from deepspeed.runtime.checkpoint_engine.torch_checkpoint_engine import TorchCheckpoin... | 18,177 | 41.471963 | 153 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from typing import Union
from enum import Enum
import torch
import json
import hjson
import copy
import base64
from .constants import *
from .fp16.loss_scaler import (
INITIAL_LOSS_SCALE,
SCALE_WINDOW,
... | 39,863 | 38.705179 | 174 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/sparse_tensor.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Implementation of a compressed sparse tensor. Similar in
functionality to TensorFlow's IndexedSlices implementation.
"""
import torch
class SparseTensor(object):
""" Compressed Sparse Tensor """
def __init__(s... | 2,416 | 34.028986 | 96 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
class DeepSpeedOptimizer(object):
pass
class ZeROOptimizer(DeepSpeedOptimizer):
pass
| 192 | 13.846154 | 40 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/quantize.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import math
from deepspeed.utils import logger
from deepspeed.ops.quantizer import ds_quantizer
TWO_D_PARAMS = 6
class Quantizer(object):
def __init__(self,
q_groups=1,
... | 7,699 | 41.541436 | 171 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/hybrid_engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.inference.config import DeepSpeedInferenceConfig
from deepspeed.module_inject.replace_policy import replace_policies
from deepspeed.module_inject.utils import policy_to_ds_container
from .engine i... | 20,369 | 45.190476 | 126 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/activation_checkpointing/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.runtime.config_utils import get_scalar_param, DeepSpeedConfigObject
#########################################
# DeepSpeed Activation Checkpointing
#########################################
# Activation Check... | 3,987 | 40.978947 | 114 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/activation_checkpointing/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/activation_checkpointing/checkpointing.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Use to partition the activations stored for backward propagation
Therefore reduces the memory consumption
Also implements CPU checkpointing and contiguous memory checkpointing
Reduces memory consumption and memory fragmen... | 32,764 | 36.148526 | 168 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/fused_optimizer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Copyright NVIDIA/apex
This file is adapted from FP16_Optimizer in NVIDIA/apex
"""
import torch
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from deepspeed.runtime import DeepSpeedOptimizer
f... | 20,052 | 40.346392 | 126 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/loss_scaler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Copyright (c) 2019, 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 copy of t... | 11,492 | 41.409594 | 325 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/unfused_optimizer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Copyright NVIDIA/apex
This file is adapted from FP16_Optimizer in NVIDIA/apex
"""
from deepspeed.moe.utils import split_params_grads_into_shared_and_expert_params
import torch
from torch._utils import _flatten_dense_tens... | 18,076 | 41.039535 | 126 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/onebit/adam.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import types
import torch
import numpy as np
from deepspeed.accelerator import get_accelerator
from deepspeed import comm as dist
class OnebitAdam(torch.optim.Optimizer):
"""Implements the 1-bit Adam algorithm. Current... | 15,258 | 48.381877 | 196 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/onebit/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .adam import OnebitAdam
from .lamb import OnebitLamb
from .zoadam import ZeroOneAdam
| 186 | 19.777778 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/onebit/zoadam.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import types
import torch
import numpy as np
from deepspeed.accelerator import get_accelerator
from deepspeed import comm as dist
class ZeroOneAdam(torch.optim.Optimizer):
"""Implements the 0/1 Adam algorithm. Currentl... | 19,112 | 51.798343 | 194 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/fp16/onebit/lamb.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import types
import torch
import numpy as np
from deepspeed import comm as dist
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from deepspeed.accelerator import get_accelerator
class OnebitLamb(t... | 23,085 | 50.762332 | 196 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
AIO
"""
AIO_FORMAT = '''
"aio": {
"block_size": 1048576,
"queue_depth": 8,
"thread_count": 1,
"single_submit": false,
"overlap_events": true
}
'''
AIO = "aio"
AIO_BLOCK_SIZE = "block_size"
AIO_BLOCK_SIZE_DEFAULT... | 596 | 20.321429 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/aio_config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.runtime.config_utils import get_scalar_param
from deepspeed.runtime.swap_tensor.constants import *
AIO_DEFAULT_DICT = {
AIO_BLOCK_SIZE: AIO_BLOCK_SIZE_DEFAULT,
AIO_QUEUE_DEPTH: AIO_QUEUE_DEPTH_DEFAULT... | 1,172 | 38.1 | 106 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/optimizer_utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping tensors to/from (NVMe) storage devices.
"""
import os
import torch
from deepspeed import comm as dist
from deepspeed.utils.logging import logger
from deepspeed.runtime.swap_tensor.constants imp... | 18,967 | 39.271762 | 206 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping tensors to/from (NVMe) storage devices.
"""
import torch
from deepspeed.utils.logging import logger
from deepspeed.accelerator import get_accelerator
from deepspeed import comm as dist
MIN_AIO... | 7,734 | 31.229167 | 117 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/async_swapper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping tensors to/from (NVMe) storage devices.
"""
import torch
from deepspeed import comm as dist
from deepspeed.utils.logging import logger
from deepspeed.runtime.swap_tensor.utils import swap_out_te... | 6,282 | 34.902857 | 100 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/pipelined_optimizer_swapper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping optimizer tensors to/from (NVMe) storage devices.
"""
from deepspeed.ops.op_builder import AsyncIOBuilder
from deepspeed import comm as dist
from deepspeed.runtime.swap_tensor.constants import ... | 10,793 | 44.931915 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/partitioned_param_swapper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping tensors to/from (NVMe) storage devices.
"""
import os
import shutil
from enum import Enum
import torch
from deepspeed import comm as dist
from deepspeed.accelerator import get_accelerator
from d... | 17,684 | 42.774752 | 165 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/partitioned_optimizer_swapper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Functionality of swapping optimizer tensors to/from (NVMe) storage devices.
"""
import torch
from deepspeed.utils.logging import logger
from deepspeed.ops.op_builder import AsyncIOBuilder
from deepspeed import comm as d... | 9,654 | 43.086758 | 114 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/swap_tensor/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
| 95 | 18.2 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/compression/cupy.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import cupy
from torch.utils.dlpack import to_dlpack
from torch.utils.dlpack import from_dlpack
class CupyBackend(object):
def __init__(self):
pass
def torch2cupy(self, tensor):
return cupy.fromDl... | 701 | 25 | 62 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/compression/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/comm/nccl.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed import comm as dist
import cupy
import numpy as np
from deepspeed.runtime.compression.cupy import CupyBackend
from deepspeed.accelerator import get_accelerator
class NcclBackend(object):
d... | 7,712 | 44.370588 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/comm/coalesced_collectives.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
batched collective operations for overhead amortization and better
bandwidth utilization
"""
import math
from typing import List
import torch
from torch import Tensor
from deepspeed import comm as dist
# NOTE: Use torch.... | 6,261 | 46.082707 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/comm/mpi.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import cupy
import time
import numpy as np
from mpi4py import MPI
from deepspeed.runtime.compression.cupy import CupyBackend
class MpiBackend(object):
def __init__(self, cuda_aware):
self.comm = ... | 10,062 | 45.587963 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/comm/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/curriculum_scheduler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import math
from deepspeed.utils import logger
from .constants import *
class CurriculumScheduler(object):
def __init__(self, config):
super().__init__()
self.state = {}
assert CURRICULUM_LEARN... | 10,025 | 62.056604 | 266 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Data efficiency library
See sample config at https://www.deepspeed.ai/docs/config-json/data-efficiency
"""
DATA_EFFICIENCY = "data_efficiency"
DATA_EFFICIENCY_ENABLED = "enabled"
DATA_EFFICIENCY_ENABLED_DEFAULT = False
D... | 4,701 | 39.188034 | 83 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .constants import *
import copy
from ..config_utils import get_scalar_param
# TODO: Reducing config verbosity by returning None or {} when disabled.
# One challenge is that we still need to somehow include the default... | 6,081 | 34.988166 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_sampling/data_analyzer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from collections import defaultdict
import csv
import time
from multiprocessing import Process, Manager
import numpy as np
import torch
from torch.utils.data import BatchSampler, SequentialSampler, DataLoader, Subs... | 25,023 | 58.866029 | 191 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_sampling/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import math
import numpy as np
from deepspeed.utils import logger
from .indexed_dataset import MMapIndexedDatasetBuilder
def find_fit_int_dtype(min_value, max_value):
if min_value >= 0:
if max_value <= 255:
... | 1,756 | 30.375 | 102 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_sampling/data_sampler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
coding=utf-8
Copyright (c) 2020, 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 obta... | 19,160 | 55.522124 | 177 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_sampling/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_sampling/indexed_dataset.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Part of this code was adopted from https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/data/indexed_dataset.py
"""
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT li... | 20,614 | 32.357605 | 115 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_routing/basic_layer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.utils import logger
from torch import Tensor
from torch.nn import Module
from ..constants import *
from deepspeed.ops.random_ltd.dropping_utils import gpt_sample_tokens, bert_sample_tokens, GatherTokens, Scatt... | 5,638 | 48.464912 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_routing/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
def bsh_decoder_gather(reserved_length, hidden_states, mask):
# random-layer-token-drop
rand_list = []
part_hidden_states = [] # batch, seq, hidden ## different from megatron
for k in range(h... | 955 | 33.142857 | 100 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_routing/helper.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .basic_layer import RandomLayerTokenDrop
from collections import OrderedDict
from deepspeed.compression.helper import recursive_getattr, recursive_setattr
def convert_to_random_ltd(model, convert_type):
if hasattr... | 1,282 | 26.297872 | 77 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_routing/scheduler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import math
from deepspeed.utils import logger
# from deepspeed.runtime.lr_schedules import WarmupLR
from ..constants import *
#####based on the paper random-ltd: https://arxiv.org/abs/2211.11586
class BaseScheduler(obje... | 4,638 | 41.953704 | 150 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/data_pipeline/data_routing/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''Copyright The Microsoft DeepSpeed Team'''
| 140 | 22.5 | 44 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/stage_1_and_2.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import os
from deepspeed import comm as dist
from packaging import version as pkg_version
from collections import OrderedDict
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from deeps... | 110,957 | 46.397693 | 237 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/parameter_offload.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import sys
import torch
from collections import OrderedDict
from deepspeed.runtime.utils import see_memory_usage
from deepspeed.runtime.zero.offload_config import OffloadDeviceEnum
from deepspeed.runtime.zero.partition_param... | 22,985 | 42.369811 | 177 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/test.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.runtime.zero.contiguous_memory_allocator import ContiguousMemoryAllocator
def test1():
mem = ContiguousMemoryAllocator(1024, torch.half, 'cpu')
mem.print_allocation(resolution=100)
a... | 2,727 | 33.974359 | 97 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/contiguous_memory_allocator.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed import comm as dist
def print_rank_0(message):
if dist.get_rank() == 0:
print(message)
class ContiguousMemoryAllocator(object):
def __init__(self, size, dtype, device):
... | 10,926 | 36.940972 | 147 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/mics_utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import os
from dataclasses import dataclass
from typing import List
import numpy as np
import torch
from torch impo... | 7,500 | 35.769608 | 116 | py |
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