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
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DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/partition_parameters.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import math
import os
import types
from typing import Callable, Iterable
from enum import Enum
import functools
import itertools
from typing import List
import logging
import torch
from torch import Tensor
from deepspeed imp... | 87,015 | 44.062662 | 182 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/offload_config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from pydantic import Field, validator
from enum import Enum
from pathlib import Path
from deepspeed.runtime.config_utils import DeepSpeedConfigModel, pp_int
class OffloadDeviceEnum(str, Enum):
""" Enum for valid offloa... | 2,931 | 29.863158 | 80 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/stage3.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import sys
import gc
import collections
from typing import Deque, Dict, Tuple
from deepspeed import comm as dist
from deepspeed.utils import groups
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
f... | 118,239 | 45.241689 | 219 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from typing import List
import torch
from deepspeed import comm as dist
from deepspeed.utils import logger
from deepspeed.ops.adam import DeepSpeedCPUAdam
from deepspeed.ops.adagrad import DeepSpeedCPUAdagrad
from... | 3,033 | 33.477273 | 115 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/tiling.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import deepspeed
from deepspeed.runtime.utils import partition_uniform as partition
def split_tensor_along_last_dim(tensor, partitions, contiguous_split_chunks=False):
"""Split a tensor along its last dime... | 11,727 | 38.488215 | 115 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/partitioned_param_coordinator.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from dataclasses import dataclass
import collections
from collections import UserDict
from typing import Deque, Set
from deepspeed import comm as dist
from deepspeed.utils.logging import logger
from deepspeed.runtime.zero.o... | 25,138 | 48.978131 | 150 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/linear.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
#Linear Module to use with ZeRO Stage 3 to allow for parameter memory release
#after the module execution during forward
#Instead of saving variables using save_for_backward, we save variable ids
#Allowing us to retrieve the... | 7,403 | 41.068182 | 162 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/partitioned_param_profiler.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from dataclasses import dataclass
from deepspeed.utils import log_dist
class PartitionedParameterProfiler(object):
@dataclass
class EventCounter:
name: str
count: int
num_elem: int
... | 1,801 | 27.15625 | 122 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from pydantic import Field, validator
import sys
from typing import Optional
from enum import Enum
from deepspeed.runtime.config_utils import get_scalar_param, pp_int, DeepSpeedConfigModel
from deepspeed.utils import logger
... | 10,692 | 36.651408 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .partition_parameters import ZeroParamType
from .partition_parameters import ZeroParamStatus
from .partition_parameters import Init
from .partition_parameters import GatheredParameters
from .partition_parameters import ... | 452 | 27.3125 | 61 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/zero/mics.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 sys
from typing import List
import deepspeed
import torch
from deepspeed import comm as dist
from deepspeed.... | 22,259 | 46.061311 | 138 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/checkpoint_engine/checkpoint_engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
class CheckpointEngine(object):
# init checkpoint engine for save/load
def __init__(self, config_params=None):
pass
def create(self, tag):
# create checkpoint on give tag for save/lo... | 653 | 20.096774 | 61 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/checkpoint_engine/__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/checkpoint_engine/torch_checkpoint_engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.utils import logger, log_dist
from deepspeed.runtime.checkpoint_engine.checkpoint_engine import \
CheckpointEngine
class TorchCheckpointEngine(CheckpointEngine):
def __init__(self, conf... | 1,060 | 29.314286 | 78 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/checkpoint_engine/nebula_checkpoint_engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import torch
import torch_nebula
from deepspeed.runtime.checkpoint_engine.checkpoint_engine import \
CheckpointEngine
from deepspeed.utils import logger, log_dist
from deepspeed.nebula.constants import *
def... | 4,975 | 45.074074 | 150 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from types import MethodType
import torch
from deepspeed import comm as dist
from deepspeed.utils import logger
from deepspeed.utils.timer import ThroughputTimer
from deepspeed.accelerator import get_accelerator
from ..en... | 56,886 | 42.49159 | 128 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/p2p.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import pickle
import typing
import torch
from deepspeed import comm as dist
# To query whether we have send/recv support
from packaging.version import Version
from deepspeed.git_version_info import torch_info
from deepspee... | 5,477 | 28.294118 | 98 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/topology.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed import comm as dist
from collections import namedtuple
from itertools import product as cartesian_product
class ProcessTopology:
""" Manages the mapping of n-dimensional Cartesian coordinates to linear
... | 17,167 | 36.56674 | 116 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/module.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import glob
import re as regex
from functools import partial
import torch
import torch.nn as nn
from deepspeed import comm as dist
from deepspeed.utils import logger
from .. import utils as ds_utils
from ..acti... | 27,190 | 42.998382 | 171 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .module import PipelineModule, LayerSpec, TiedLayerSpec
from .topology import ProcessTopology
| 195 | 23.5 | 60 | py |
DeepSpeed | DeepSpeed-master/deepspeed/runtime/pipe/schedule.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from ..utils import call_to_str
from abc import ABC, abstractmethod
class PipeSchedule(ABC):
"""Directs the execution of a pipeline engine by generating sequences of
:class:`PipeInstruction`.
Schedules are ge... | 15,546 | 30.408081 | 103 | py |
DeepSpeed | DeepSpeed-master/deepspeed/moe/layer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed.utils import log_dist
from deepspeed.utils import groups
from .sharded_moe import MOELayer, TopKGate
from .experts import Experts
import typing
class MoE(torch.nn.Module):
"""Initialize an... | 6,082 | 47.664 | 151 | py |
DeepSpeed | DeepSpeed-master/deepspeed/moe/mappings.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# The file has been adapted from the following Megatron-LM file:
# https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/mpu/mappings.py
# Git commit hash: 9dc3c42a84aa656f583703cf8b6b4f79f712b796
# We retain the followin... | 3,529 | 31.990654 | 144 | py |
DeepSpeed | DeepSpeed-master/deepspeed/moe/sharded_moe.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
The file has been adapted from two fairscale files:
(1) https://github.com/facebookresearch/fairscale/blob/master/fairscale/nn/moe/moe_layer.py
(2) https://github.com/facebookresearch/fairscale/blob/master/fairscale/nn/... | 20,621 | 36.494545 | 151 | py |
DeepSpeed | DeepSpeed-master/deepspeed/moe/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from typing import List, Tuple, Dict
import torch
from .layer import MoE
def has_moe_layers(m):
has_moe = False
num_experts = 0
for _, module in m.named_modules():
if isinstance(module, MoE):
... | 5,214 | 34.719178 | 98 | py |
DeepSpeed | DeepSpeed-master/deepspeed/moe/__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/moe/experts.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
import copy
class Experts(torch.nn.Module):
def __init__(self, expert, num_local_experts=1, expert_group_name=None):
super(Experts, self).__init__()
self.deepspeed_experts = torch.nn.Modu... | 1,223 | 33 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/launcher/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
PDSH_LAUNCHER = 'pdsh'
PDSH_MAX_FAN_OUT = 1024
OPENMPI_LAUNCHER = 'openmpi'
MPICH_LAUNCHER = 'mpich'
IMPI_LAUNCHER = 'impi'
SLURM_LAUNCHER = 'slurm'
MVAPICH_LAUNCHER = 'mvapich'
MVAPICH_TMP_HOSTFILE = '/tmp/deepspeed_mvapic... | 375 | 21.117647 | 56 | py |
DeepSpeed | DeepSpeed-master/deepspeed/launcher/launch.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
DeepSpeed launcher, this is similar to torch's distributed.launch but supports
additional features such as arbitrary gpu exclusion.
deepspeed.launcher.launch is intended to be run on a single worker node and
will spawn s... | 14,654 | 40.16573 | 117 | py |
DeepSpeed | DeepSpeed-master/deepspeed/launcher/runner.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
DeepSpeed runner is the main front-end to launching multi-worker
training jobs with DeepSpeed. By default this uses pdsh to parallel
ssh into multiple worker nodes and launch all the necessary processes
per rank for train... | 24,150 | 40.567986 | 225 | py |
DeepSpeed | DeepSpeed-master/deepspeed/launcher/multinode_runner.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import sys
import shutil
import subprocess
import warnings
from shlex import split
from abc import ABC, abstractmethod
from deepspeed.accelerator import get_accelerator
from ..utils import logger, get_numactl_cmd
f... | 16,568 | 36.150224 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/launcher/__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/module_inject/module_quantize.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
def quantize_transformer_layer(orig_layer_impl, model, megatron=False, preln=False):
""" Quantize bert-style transformer layers with DeepSpeed's transformer layer
Arguments:
orig_layer_impl (to... | 3,107 | 41.575342 | 120 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/load_checkpoint.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from torch import nn
from deepspeed.model_implementations.transformers.ds_bloom import DeepSpeedBloomInference
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
from deepspeed.model_implem... | 14,745 | 53.817844 | 134 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.utils import log_dist
# helper function to map between DS policies and DS containers
def policy_to_ds_container(**kwargs):
from .containers import HFGPT2LayerPolicy, DS_GPT2Container
from .containers... | 1,762 | 37.326087 | 75 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/policy.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from abc import ABC, abstractmethod
from deepspeed.utils.types import ActivationFuncType, NormType
import torch
from deepspeed.accelerator import get_accelerator
transformer_param_names = (
'attn_qkvw', \
'a... | 8,259 | 35.711111 | 155 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/auto_tp.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# Automatic Tensor Parallelism
import re
from torch import nn
from .replace_policy import replace_policies
class AutoTP():
def in_module_list(module, module_list):
for item in module_list:
if type... | 5,353 | 41.832 | 144 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/layers.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from deepspeed import comm as dist
from torch import nn
from torch.nn import functional as F
from torch.nn.parameter import Parameter
from deepspeed.accelerator import get_accelerator
class LinearAllreduce(nn... | 4,592 | 33.276119 | 116 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .replace_module import replace_transformer_layer, revert_transformer_layer, ReplaceWithTensorSlicing, GroupQuantizer, generic_injection
from .module_quantize import quantize_transformer_layer
from .replace_policy import... | 444 | 39.454545 | 140 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/inject.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import copy
import torch
from deepspeed.ops.transformer import DeepSpeedTransformerLayer, DeepSpeedTransformerConfig
def module_inject(layer_obj, model, config, micro_batch_size, max_seq_length, seed, preln, fp16=True):
... | 4,719 | 40.769912 | 108 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/replace_module.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from typing import Optional
import torch
import tqdm
import deepspeed
import deepspeed.ops.transformer as transformer_inference
from deepspeed.ops.transformer.inference.diffusers_attention import DeepSpeedDiffusers... | 43,185 | 47.144928 | 156 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/replace_policy.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .containers import HFGPT2LayerPolicy
from .containers import HFBertLayerPolicy
from .containers import BLOOMLayerPolicy
from .containers import HFGPTJLayerPolicy
from .containers import HFGPTNEOLayerPolicy
from .contain... | 989 | 34.357143 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/distil_bert.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from deepspeed.model_implementations.transformers.ds_bert import DeepSpeedBERTInference
import torch
from torch.nn.parameter import Parameter
from ..policy import TransformerPolicy
class DS_DistilBERTCo... | 3,188 | 37.421687 | 88 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/bert.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from deepspeed.model_implementations.transformers.ds_bert import DeepSpeedBERTInference
import torch
from torch.nn.parameter import Parameter
from ..policy import TransformerPolicy
class DS_BERTContaine... | 3,769 | 39.106383 | 87 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/base.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# Create a container object to save model-specific tensors using the policy file above.
from abc import ABC
import torch
import deepspeed
from deepspeed.ops.transformer.inference.config import DeepSpeedInferenceConfig
from... | 13,564 | 41.523511 | 126 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/llama.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features import HybridSplitQKVContainer, HybridGatedMLPContainer
from deepspeed.utils.types import ActivationFuncType, NormType
from deepspeed.model_implementations.transformers.ds_gpt import DeepSp... | 6,180 | 38.621795 | 123 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/clip.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
import torch
from torch.nn.parameter import Parameter
from ..policy import TransformerPolicy
class DS_CLIPContainer(... | 2,822 | 37.148649 | 109 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/vae.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from ..policy import DSPolicy
from ...model_implementations.diffusers.vae import DSVAE
class VAEPolicy(DSPolicy):
def __init__(self):
super().__init__()
try:
import diffusers
if... | 1,163 | 30.459459 | 86 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/opt.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features import MetaTensorContainer, HybridSplitQKVContainer
from deepspeed.model_implementations.transformers.ds_opt import DeepSpeedOPTInference
import torch
from torch.nn.parameter import Paramet... | 6,905 | 41.89441 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/megatron_gpt.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features.megatron import MegatronContainer
from deepspeed.model_implementations.transformers.ds_megatron_gpt import DeepSpeedMegatronGPTInference
import torch
from ..policy import TransformerPolicy
... | 5,017 | 44.207207 | 121 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/gptneox.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features.meta_tensor import MetaTensorContainer
from .features.hybrid_megatron import HybridMegatronContainer
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
im... | 5,897 | 39.122449 | 117 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/gptneo.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features.meta_tensor import MetaTensorContainer
from .features.split_qkv import HybridSplitQKVContainer
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
import t... | 5,790 | 38.664384 | 114 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/unet.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from torch.nn.parameter import Parameter
from ..policy import DSPolicy
from ...model_implementations.diffusers.unet import DSUNet
class UNetPolicy(DSPolicy):
def __init__(self):
super().__init__(... | 1,732 | 30.509091 | 92 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/gptj.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features.meta_tensor import MetaTensorContainer
from .features.split_qkv import HybridSplitQKVContainer
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
import t... | 5,074 | 37.157895 | 112 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/megatron_gpt_moe.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .base_moe import *
from .features.megatron import MegatronContainer
from deepspeed.model_implementations.transformers.ds_megatron_gpt import DeepSpeedMegatronGPTInference
import torch
from .megatron_... | 3,936 | 44.252874 | 117 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/gpt2.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
from ..policy import TransformerPolicy
class DS_GPT2Container(BaseTransformerContainer):
def __init__(self, **k... | 2,221 | 35.42623 | 98 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .bert import DS_BERTContainer, HFBertLayerPolicy
from .bloom import DS_BloomContainer, BLOOMLayerPolicy, supported_models
from .distil_bert import DS_DistilBERTContainer, HFDistilBertLayerPolicy
from .gpt2 import DS_GPT... | 893 | 43.7 | 80 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/base_moe.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# Create a container object to save model-specific tensors using the policy file above.
from .base import *
from deepspeed import comm as dist
import deepspeed.ops.transformer as transformer_inference
from deepspeed.accelera... | 5,756 | 42.946565 | 126 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/bloom.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .base import *
from .features.meta_tensor import MetaTensorContainer
from .features.hybrid_engine import HybridEngineContainer
from deepspeed.model_implementations.transformers.ds_bloom import DeepSpeedBloomInference
fr... | 5,615 | 42.2 | 118 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/hybrid_megatron.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from .hybrid_engine import HybridEngineContainer
from .megatron import MegatronContainer
class HybridMegatronContainer(MegatronContainer, HybridEngineContainer):
def _align_qkv(self, x: torch.Tensor):
... | 4,129 | 45.931818 | 158 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/meta_tensor.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from abc import ABC, abstractmethod
from packaging import version as pkg_version
import torch
class MetaTensorContainer(ABC):
"""
NOTE: If you are using this feature with a container that
also inherits from `Hy... | 2,930 | 40.28169 | 109 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/split_qkv.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from abc import abstractmethod
import torch
from .hybrid_engine import HybridEngineContainer
class HybridSplitQKVContainer(HybridEngineContainer):
def set_attention(self, qkvw, qkvb, dense_w, dense_b):
super(... | 7,136 | 43.60625 | 98 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/megatron.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from abc import ABC
class MegatronContainer(ABC):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.megatron_v2 = self.policy.is_megatron_v2
def _align_qkv_transposed(self... | 1,200 | 36.53125 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/gated_mlp.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from abc import abstractmethod
from .hybrid_engine import HybridEngineContainer
class HybridGatedMLPContainer(HybridEngineContainer):
"""
The HybridGatedMLPContainer supports models for which the first MLP layer
... | 5,397 | 44.361345 | 116 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .gated_mlp import HybridGatedMLPContainer
from .megatron import MegatronContainer
from .meta_tensor import MetaTensorContainer
from .split_qkv import HybridSplitQKVContainer
| 275 | 26.6 | 46 | py |
DeepSpeed | DeepSpeed-master/deepspeed/module_inject/containers/features/hybrid_engine.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from abc import ABC, abstractmethod
from typing import List, Tuple
import torch
class HybridEngineContainer(ABC):
"""
This container identifies which methods need to be overridden in addition to
the base conta... | 8,374 | 38.319249 | 110 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/ccl.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
'''
Copyright 2021 The Microsoft DeepSpeed Team
'''
import torch
from deepspeed.accelerator import get_accelerator
from .reduce_op import ReduceOp
from .torch import TorchBackend
def build_ccl_op():
builder = get_accel... | 2,248 | 34.698413 | 101 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/torch.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed import utils
from .utils import *
from .backend import *
from .comm import *
import os
DS_COMM_ALL_GATHER_OFF = False
DS_COMM_REDUCE_SCATTER_OFF = False
DS_COMM_BROADCAST_OFF = False
DS_COMM_ALL_REDUCE_OFF =... | 15,854 | 42.557692 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
NCCL_BACKEND = 'nccl'
CCL_BACKEND = 'ccl'
MPI_BACKEND = 'mpi'
GLOO_BACKEND = 'gloo'
SCCL_BACKEND = 'sccl'
DEFAULT_AML_MASTER_PORT = "54965"
DEFAULT_AML_NCCL_SOCKET_IFNAME = "^docker0,lo"
###################################... | 1,276 | 24.039216 | 57 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/comm.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
DeepSpeed Communication Package: deepspeed.comm
deepspeed.comm
-- import and use deepspeed.ops.comm
-- use torch.distributed directly if both this package and torch.distributed use the same NCCL ve... | 28,373 | 36.983936 | 209 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import inspect
from deepspeed.utils import get_caller_func
def get_local_rank_from_launcher():
# DeepSpeed launcher will set it so get from there
rank = os.environ.get('LOCAL_RANK')
if rank is None:... | 3,842 | 27.679104 | 176 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/reduce_op.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from enum import Enum
class ReduceOp(Enum):
SUM = 0
PRODUCT = 1
MIN = 2
MAX = 3
BAND = 4
BOR = 5
BXOR = 6
AVG = 7
UNUSED = 8
| 259 | 12.684211 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from pydantic import BaseModel
from .constants import *
class CommsConfig(BaseModel):
class Config:
validate_all = True
validate_assignment = True
use_enum_values = True
extra = 'forbid... | 855 | 24.176471 | 78 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/backend.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
DeepSpeed Communication Backend.
In the future, directly use NCCL/MPI/Gloo/etc without requiring torch.distributed. Simply wrap torch.distributed for now.
# Custom DS Backends -- Direct C/Ops
- NCCL -- [EXPERIMENTAL]
... | 1,416 | 28.520833 | 137 | py |
DeepSpeed | DeepSpeed-master/deepspeed/comm/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .utils import *
from .comm import *
| 137 | 16.25 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/tensorboard.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .utils import check_tb_availability
from .monitor import Monitor
import os
import deepspeed.comm as dist
class TensorBoardMonitor(Monitor):
def __init__(self, tensorboard_config):
super().__init__(tensor... | 2,227 | 38.087719 | 181 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
def check_tb_availability():
try:
# torch.utils.tensorboard will fail if `tensorboard` is not available,
# see their docs for more details: https://pytorch.org/docs/1.8.0/tensorboard.html
import ... | 754 | 29.2 | 138 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/csv_monitor.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .monitor import Monitor
import os
import deepspeed.comm as dist
class csvMonitor(Monitor):
def __init__(self, csv_config):
super().__init__(csv_config)
self.filenames = []
self.enabled = ... | 2,907 | 41.764706 | 193 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from pydantic import root_validator
from deepspeed.runtime.config_utils import DeepSpeedConfigModel
def get_monitor_config(param_dict):
monitor_dict = {key: param_dict.get(key, {}) for key in ("tensorboard", "wandb", "... | 2,481 | 30.025 | 107 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/monitor.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
"""
Support different forms of monitoring such as wandb and tensorboard
"""
from abc import ABC, abstractmethod
import deepspeed.comm as dist
class Monitor(ABC):
@abstractmethod
def __init__(self, monitor_config):... | 1,604 | 28.722222 | 80 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/wandb.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .utils import check_wandb_availability
from .monitor import Monitor
import deepspeed.comm as dist
class WandbMonitor(Monitor):
def __init__(self, wandb_config):
super().__init__(wandb_config)
che... | 1,150 | 28.512821 | 80 | py |
DeepSpeed | DeepSpeed-master/deepspeed/monitor/__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/elasticity/elastic_agent.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from torch.distributed.elastic.agent.server.local_elastic_agent import LocalElasticAgent
from typing import Any, Dict, Optional, Tuple
from datetime import datetime
from torch.distributed.elastic.agent.server.api import log,... | 7,762 | 41.653846 | 105 | py |
DeepSpeed | DeepSpeed-master/deepspeed/elasticity/constants.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
#########################################
# Elasticity
#########################################
''' Elasticity Utility in DeepSpeed can be used to create highly elastic jobs compatible
with a large number of GPUs. For elast... | 2,454 | 28.939024 | 91 | py |
DeepSpeed | DeepSpeed-master/deepspeed/elasticity/utils.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
def is_torch_elastic_compatible():
'''
Helper to lookup torch version. Elastic training is
introduced in 1.11.x
'''
TORCH_MAJOR = int(torch.__version__.split('.')[0])
TORCH_MINO... | 459 | 22 | 59 | py |
DeepSpeed | DeepSpeed-master/deepspeed/elasticity/config.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import json
from .constants import *
class ElasticityError(Exception):
"""
Base exception for all elasticity related errors
"""
class ElasticityConfigError(ElasticityError):
"""
Elasticity configurati... | 4,703 | 41.378378 | 115 | py |
DeepSpeed | DeepSpeed-master/deepspeed/elasticity/__init__.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from .elasticity import compute_elastic_config, elasticity_enabled, ensure_immutable_elastic_config
from .utils import is_torch_elastic_compatible
from .constants import ENABLED, ENABLED_DEFAULT, ELASTICITY
if is_torch_elast... | 383 | 33.909091 | 99 | py |
DeepSpeed | DeepSpeed-master/deepspeed/elasticity/elasticity.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
import json
import numpy as np
import math
from packaging import version as pkg_version
from .config import ElasticityConfig, ElasticityConfigError, ElasticityError, \
ElasticityIncompatibleWorldSize
from .con... | 17,374 | 44.844327 | 119 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/timer.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import time
from numpy import mean
from deepspeed.utils.logging import log_dist
from deepspeed.accelerator import get_accelerator
from deepspeed import comm as dist
try:
import psutil
PSUTILS_INSTALLED = True
excep... | 9,477 | 34.766038 | 115 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/comms_logging.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import math
from deepspeed.utils import log_dist
def get_caller_func(frame=3):
import sys
return sys._getframe(frame).f_code.co_name
def print_rank_0(message):
import deepspeed.comm as dist
if dist.get_ra... | 8,024 | 42.61413 | 212 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/exceptions.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
class DeprecatedException(Exception):
pass
| 144 | 15.111111 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/nvtx.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from deepspeed.accelerator import get_accelerator
def instrument_w_nvtx(func):
"""decorator that causes an NVTX range to be recorded for the duration of the
function call."""
def wrapped_fn(*args, **kwargs):
... | 499 | 24 | 81 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/logging.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import functools
import logging
import sys
import os
log_levels = {
"debug": logging.DEBUG,
"info": logging.INFO,
"warning": logging.WARNING,
"error": logging.ERROR,
"critical": logging.CRITICAL,
}
cla... | 4,375 | 27.601307 | 127 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/mixed_precision_linkage.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import types
from deepspeed.utils import get_full_hp_param, get_full_hp_grad, get_hp_fragment_mapping
def link_hp_params(lp_param_list, flat_hp_partition, gradient_dict, offload_gradient_dict, use_offload,
... | 2,041 | 46.488372 | 114 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/groups.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# The file has been adapted from https://github.com/NVIDIA/Megatron-LM and retains the following license from the original file
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache L... | 19,762 | 39.664609 | 187 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/types.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
from enum import IntEnum
class ActivationFuncType(IntEnum):
UNKNOWN = 0
GELU = 1
ReLU = 2
GATED_GELU = 3
GATED_SILU = 4
GATED_ACTIVATION_TYPES = [
ActivationFuncType.GATED_GELU,
ActivationFunc... | 434 | 14.535714 | 38 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/init_on_device.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from typing import Callable
from torch import Tensor
from packaging import version as pkg_version
class OnDevice(object):
"""
Create modules/tensors w. specific devices and dtypes. Examples:
Creat... | 3,004 | 35.646341 | 112 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/numa.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# return a list of list for cores to numa mapping
# [
# [ cores for numa 0 ]
# [ cores belong to numa 1 ]
# ...
# ]
import distutils
import os
import psutil
import subprocess
# return a list of list for cores t... | 5,162 | 33.651007 | 111 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/tensor_fragment.py | # Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from dataclasses import dataclass
from deepspeed import comm as dist
from typing import Dict
@dataclass
class fragment_address:
numel: int
start: int
@dataclass
class tensor_fragment:
lp_fragment... | 8,027 | 29.876923 | 117 | py |
DeepSpeed | DeepSpeed-master/deepspeed/utils/zero_to_fp32.py | #!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
# This script extracts fp32 consolidated weights from a zero 1, 2 and 3 DeepSpeed checkpoints. It gets
# copied into the top level checkpoint dir, so the user can easily do the conversion at any point ... | 23,610 | 39.778929 | 197 | py |
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