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Fix for pytorch 2.0 compatibility in deepspeed #1

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Merged
cbcase merged 1 commit into from
May 12, 2023
Merged

Fix for pytorch 2.0 compatibility in deepspeed #1

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6 changes: 5 additions & 1 deletion deepspeed/runtime/utils.py
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Expand Up @@ -15,9 +15,13 @@

import torch
import torch.distributed as dist
from torch._six import inf
import torch.distributed as dist

try:
from torch._six import inf as inf
except ModuleNotFoundError:
from torch import inf as inf

from deepspeed.utils import logger
from numpy import prod

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3 changes: 1 addition & 2 deletions deepspeed/runtime/zero/stage2.py
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Expand Up @@ -6,13 +6,12 @@
from torch.distributed.distributed_c10d import _get_global_rank
import torch.distributed as dist
import math
from torch._six import inf
from torch.autograd import Variable

import collections

from deepspeed.runtime.fp16.loss_scaler import LossScaler, DynamicLossScaler
from deepspeed.runtime.utils import see_memory_usage, is_model_parallel_parameter
from deepspeed.runtime.utils import inf, see_memory_usage, is_model_parallel_parameter
from deepspeed.runtime.zero.config import ZERO_OPTIMIZATION_GRADIENTS
from deepspeed.ops.adam import DeepSpeedCPUAdam
from deepspeed.ops.op_builder import UtilsBuilder
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3 changes: 1 addition & 2 deletions deepspeed/runtime/zero/stage3.py
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Expand Up @@ -11,12 +11,11 @@
from torch.distributed.distributed_c10d import _get_global_rank
import torch.distributed as dist
import math
from torch._six import inf
from torch.autograd import Variable

from deepspeed.utils.logging import logger
from deepspeed.runtime.fp16.loss_scaler import LossScaler, DynamicLossScaler
from deepspeed.runtime.utils import see_memory_usage, is_model_parallel_parameter
from deepspeed.runtime.utils import inf, see_memory_usage, is_model_parallel_parameter
from deepspeed.runtime.zero.partition_parameters import *
from deepspeed.runtime.zero.partition_parameters import _init_external_params
from deepspeed.runtime.zero.constants import ZERO_OPTIMIZATION_WEIGHTS
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