mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-31 02:02:21 +06:00
parent
645f45c462
commit
ced7284a60
@ -18,7 +18,7 @@ git+https://github.com/huggingface/transformers.git@v4.5.0.rc0 # install master
|
||||
After we adjusted the `requirements.txt` we can run Amazon SageMaker tests with:
|
||||
|
||||
```bash
|
||||
AWS_PROFILE=<enter-your-profile> make sagemaker-test
|
||||
AWS_PROFILE=<enter-your-profile> make test-sagemaker
|
||||
```
|
||||
These tests take around 10-15 minutes to finish. Preferably make a screenshot of the successfully ran tests.
|
||||
|
||||
@ -88,7 +88,7 @@ tensorflow-gpu==2.5.0 # for tensorflow
|
||||
After we adjusted the `requirements.txt` we can run Amazon SageMaker tests with.
|
||||
|
||||
```bash
|
||||
AWS_PROFILE=<enter-your-profile> make sagemaker-test
|
||||
AWS_PROFILE=<enter-your-profile> make test-sagemaker
|
||||
```
|
||||
These tests take around 10-15 minutes to finish. Preferably make a screenshot of the successfully ran tests.
|
||||
|
||||
|
@ -58,7 +58,7 @@ class MultiNodeTest(unittest.TestCase):
|
||||
def create_estimator(self, instance_count):
|
||||
job_name = f"{self.env.base_job_name}-{instance_count}-{'ddp' if 'ddp' in self.script else 'smd'}"
|
||||
# distributed data settings
|
||||
distribution = {"smdistributed": {"dataparallel": {"enabled": True}}}
|
||||
distribution = {"smdistributed": {"dataparallel": {"enabled": True}}} if self.script != "run_ddp.py" else None
|
||||
|
||||
# creates estimator
|
||||
return HuggingFace(
|
||||
|
Loading…
Reference in New Issue
Block a user