Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Refactor/Pydantify activation checkpointing config #2633

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Refactor/Pydantify activation checkpointing config #2633

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c523b20
added pydantic model for activation checkpointing config
mrwyattii Dec 20, 2022
92e4fd8
Merge branch 'master' into pydantify-activation-checkpointing
mrwyattii Dec 20, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
104 changes: 12 additions & 92 deletions deepspeed/runtime/activation_checkpointing/config.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,101 +3,21 @@
Licensed under the MIT license.
"""

from deepspeed.runtime.config_utils import get_scalar_param, DeepSpeedConfigObject

#########################################
# DeepSpeed Activation Checkpointing
#########################################
# Activation Checkpointing Allows to save memory by only keeping a select few
#activations for the backpropagation.
ACTIVATION_CHKPT_FORMAT = '''
Activation Checkpointing should be configured as:
"session_params": {
"activation_checkpointing": {
"partitioned_activations": [true|false],
"number_checkpoints": 100,
"contiguous_memory_optimization": [true|false],
"cpu_checkpointing": [true|false]
"profile": [true|false],
"synchronize_checkpoint_boundary": [true|false],
}
}
'''

ACT_CHKPT_PARTITION_ACTIVATIONS = 'partition_activations'
ACT_CHKPT_PARTITION_ACTIVATIONS_DEFAULT = False

ACT_CHKPT_NUMBER_CHECKPOINTS = 'number_checkpoints'
ACT_CHKPT_NUMBER_CHECKPOINTS_DEFAULT = None

ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION = 'contiguous_memory_optimization'
ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION_DEFAULT = False

ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY = 'synchronize_checkpoint_boundary'
ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY_DEFAULT = False

ACT_CHKPT_PROFILE = 'profile'
ACT_CHKPT_PROFILE_DEFAULT = False

ACT_CHKPT_CPU_CHECKPOINTING = 'cpu_checkpointing'
ACT_CHKPT_CPU_CHECKPOINTING_DEFAULT = False
from pydantic import Field
from deepspeed.runtime.config_utils import DeepSpeedConfigModel

ACT_CHKPT = 'activation_checkpointing'

ACT_CHKPT_DEFAULT = {
ACT_CHKPT_PARTITION_ACTIVATIONS: ACT_CHKPT_PARTITION_ACTIVATIONS_DEFAULT,
ACT_CHKPT_NUMBER_CHECKPOINTS: ACT_CHKPT_NUMBER_CHECKPOINTS_DEFAULT,
ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION:
ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION_DEFAULT,
ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY:
ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY_DEFAULT,
ACT_CHKPT_PROFILE: ACT_CHKPT_PROFILE_DEFAULT,
ACT_CHKPT_CPU_CHECKPOINTING: ACT_CHKPT_CPU_CHECKPOINTING_DEFAULT
}


class DeepSpeedActivationCheckpointingConfig(DeepSpeedConfigObject):
def __init__(self, param_dict):
super(DeepSpeedActivationCheckpointingConfig, self).__init__()

self.partition_activations = None
self.contiguous_memory_optimization = None
self.cpu_checkpointing = None
self.number_checkpoints = None
self.synchronize_checkpoint_boundary = None
self.profile = None

if ACT_CHKPT in param_dict.keys():
act_chkpt_config_dict = param_dict[ACT_CHKPT]
else:
act_chkpt_config_dict = ACT_CHKPT_DEFAULT

self._initialize(act_chkpt_config_dict)

def _initialize(self, act_chkpt_config_dict):
self.partition_activations = get_scalar_param(
act_chkpt_config_dict,
ACT_CHKPT_PARTITION_ACTIVATIONS,
ACT_CHKPT_PARTITION_ACTIVATIONS_DEFAULT)

self.contiguous_memory_optimization = get_scalar_param(
act_chkpt_config_dict,
ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION,
ACT_CHKPT_CONTIGUOUS_MEMORY_OPTIMIZATION_DEFAULT)

self.cpu_checkpointing = get_scalar_param(act_chkpt_config_dict,
ACT_CHKPT_CPU_CHECKPOINTING,
ACT_CHKPT_CPU_CHECKPOINTING_DEFAULT)

self.number_checkpoints = get_scalar_param(act_chkpt_config_dict,
ACT_CHKPT_NUMBER_CHECKPOINTS,
ACT_CHKPT_NUMBER_CHECKPOINTS_DEFAULT)
def get_activation_checkpointing_config(param_dict):
act_chkpt_config_dict = param_dict.get(ACT_CHKPT, {})
return DeepSpeedActivationCheckpointingConfig(**act_chkpt_config_dict)

self.profile = get_scalar_param(act_chkpt_config_dict,
ACT_CHKPT_PROFILE,
ACT_CHKPT_PROFILE_DEFAULT)

self.synchronize_checkpoint_boundary = get_scalar_param(
act_chkpt_config_dict,
ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY,
ACT_CHKPT_SYNCHRONIZE_CHECKPOINT_BOUNDARY_DEFAULT)
class DeepSpeedActivationCheckpointingConfig(DeepSpeedConfigModel):
partition_activations: bool = False
contiguous_memory_optimization: bool = False
cpu_checkpointing: bool = False
number_checkpoints: int = Field(None, gt=0)
synchronize_checkpoint_boundary: bool = False
profile: bool = False