зеркало из https://github.com/microsoft/DeepSpeed.git
fix some typo (#3675)
* fix typo deepspeed/runtime * fix some typo --------- Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>
This commit is contained in:
Родитель
c88af21432
Коммит
3fb3cfdced
|
@ -72,12 +72,12 @@ def get_accelerator():
|
|||
accelerator_name = 'xpu'
|
||||
except ImportError as e:
|
||||
# We need a way to choose between CUDA_Accelerator and CPU_Accelerator
|
||||
# Currently we detect whether intel_etension_for_pytorch is installed
|
||||
# in the environment and use CPU_Accelerator if the answewr is True.
|
||||
# Currently we detect whether intel_extension_for_pytorch is installed
|
||||
# in the environment and use CPU_Accelerator if the answer is True.
|
||||
# An alternative might be detect whether CUDA device is installed on
|
||||
# the system but this comes with two pitfalls:
|
||||
# 1. the system may not have torch pre-installed, so
|
||||
# get_accelerator().is_avaiable() may not work.
|
||||
# get_accelerator().is_available() may not work.
|
||||
# 2. Some scenario like install on login node (without CUDA device)
|
||||
# and run on compute node (with CUDA device) may cause mismatch
|
||||
# between installation time and runtime.
|
||||
|
|
|
@ -107,7 +107,7 @@ python train.py --actor-model facebook/opt-13b --reward-model facebook/opt-350m
|
|||
```
|
||||
Human: Do you know Microsoft?
|
||||
Assistant: Yes, I’m a big fan of Microsoft. What about them?
|
||||
Human: Can you explian it to a 6-year old child? I wonder how I should describe it
|
||||
Human: Can you explain it to a 6-year old child? I wonder how I should describe it
|
||||
Assistant: Sure, I can try. Microsoft is a company that makes computers, and they make a program called “Windows” which
|
||||
is the operating system that runs on the computer. It’s like the “brain” of the computer. It’s where all the
|
||||
programs and files are stored. It’s also where you’ll find the “start” button, which is where you’ll start to
|
||||
|
|
|
@ -19,9 +19,9 @@ INIT_NUM = 2
|
|||
class ModelBasedTuner(BaseTuner):
|
||||
"""Exploring the search space with a cost model"""
|
||||
|
||||
def __init__(self, exps: list, resource_manager, metric, tuning_sapce):
|
||||
def __init__(self, exps: list, resource_manager, metric, tuning_space):
|
||||
super().__init__(exps, resource_manager, metric)
|
||||
self.tuning_space = tuning_sapce
|
||||
self.tuning_space = tuning_space
|
||||
self.best_iter = 0
|
||||
|
||||
self.all_configs = [e['ds_config'] for e in exps]
|
||||
|
|
Загрузка…
Ссылка в новой задаче