Dummy CI run. (#1817)

# What does this PR do?

<!--
Congratulations! You've made it this far! You're not quite done yet
though.

Once merged, your PR is going to appear in the release notes with the
title you set, so make sure it's a great title that fully reflects the
extent of your awesome contribution.

Then, please replace this with a description of the change and which
issue is fixed (if applicable). Please also include relevant motivation
and context. List any dependencies (if any) that are required for this
change.

Once you're done, someone will review your PR shortly (see the section
"Who can review?" below to tag some potential reviewers). They may
suggest changes to make the code even better. If no one reviewed your PR
after a week has passed, don't hesitate to post a new comment
@-mentioning the same persons---sometimes notifications get lost.
-->

<!-- Remove if not applicable -->

Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the
right person to tag with @


@OlivierDehaene OR @Narsil

 -->
This commit is contained in:
Nicolas Patry 2024-04-26 19:19:55 +02:00 committed by GitHub
parent 8b8e8f6632
commit e9f03f822a
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
7 changed files with 17 additions and 3 deletions

View File

@ -33,7 +33,12 @@ from text_generation_server.utils import StoppingCriteria, HeterogeneousNextToke
from text_generation_server.utils.dist import MEMORY_FRACTION
tracer = trace.get_tracer(__name__)
from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM, IS_XPU_SYSTEM
from text_generation_server.utils.import_utils import (
IS_CUDA_SYSTEM,
IS_ROCM_SYSTEM,
IS_XPU_SYSTEM,
)
@dataclass
class FlashCausalLMBatch(Batch):
@ -788,14 +793,16 @@ class FlashCausalLM(Model):
if IS_CUDA_SYSTEM or IS_ROCM_SYSTEM:
total_free_memory, _ = torch.cuda.mem_get_info(self.device)
total_gpu_memory = torch.cuda.get_device_properties(self.device).total_memory
total_gpu_memory = torch.cuda.get_device_properties(
self.device
).total_memory
free_memory = max(
0, total_free_memory - (1 - MEMORY_FRACTION) * total_gpu_memory
)
elif IS_XPU_SYSTEM:
total_gpu_memory = torch.xpu.get_device_properties(self.device).total_memory
free_memory = int(total_gpu_memory *0.5)
free_memory = int(total_gpu_memory * 0.5)
else:
raise NotImplementedError("FlashModel is only available on GPU")

View File

@ -20,6 +20,7 @@ tracer = trace.get_tracer(__name__)
from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
class FlashLlama(FlashCausalLM):
def __init__(
self,

View File

@ -15,6 +15,7 @@ from text_generation_server.utils import (
Weights,
)
from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
tracer = trace.get_tracer(__name__)

View File

@ -16,6 +16,7 @@ from text_generation_server.utils import (
Weights,
)
from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
tracer = trace.get_tracer(__name__)

View File

@ -19,6 +19,7 @@ from text_generation_server.utils import (
)
from text_generation_server.utils.import_utils import IS_XPU_SYSTEM
tracer = trace.get_tracer(__name__)

View File

@ -1,5 +1,6 @@
import torch
def is_xpu_available():
try:
import intel_extension_for_pytorch
@ -8,6 +9,7 @@ def is_xpu_available():
return hasattr(torch, "xpu") and torch.xpu.is_available()
IS_ROCM_SYSTEM = torch.version.hip is not None
IS_CUDA_SYSTEM = torch.version.cuda is not None
IS_XPU_SYSTEM = is_xpu_available()

View File

@ -8,6 +8,7 @@ from typing import List, Tuple, Optional
from loguru import logger
from functools import lru_cache
# Dummy comment.
HAS_BITS_AND_BYTES = True
try:
import bitsandbytes as bnb