Update python by renovate-bot · Pull Request #1465 · GoogleCloudPlatform/kubernetes-engine-samples

renovate-bot · 2024-09-23T00:47:13Z

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Age	Confidence
Werkzeug (changelog)	`==3.1.6` → `==3.1.8`
accelerate	`==v1.0.1` → `==1.14.0`
aiohappyeyeballs (changelog)	`==2.6.1` → `==2.7.1`
arxiv	`==2.1.3` → `==2.4.1`
bitsandbytes (changelog)	`==0.44.1` → `==0.49.2`
cachetools (changelog)	`==5.5.0` → `==5.5.2`
certifi	`==2024.8.30` → `==2024.12.14`
charset-normalizer (changelog)	`==3.4.0` → `==3.4.7`
click (changelog)	`==8.1.7` → `==8.4.2`
datasets	`==3.1.0` → `==3.6.0`
einops	`==0.8.0` → `==0.8.2`
elasticsearch	`==8.15.0` → `==8.19.3`
emoji	`==2.14.1` → `==2.15.0`
fast-dash	`==0.2.13` → `==0.5.5`
fastapi (changelog)	`==0.114.0` → `==0.139.0`
fastapi (changelog)	`==0.115.0` → `==0.139.0`
fastapi (changelog)	`==0.115.13` → `==0.139.0`
fastparquet	`==2024.5.0` → `==2024.11.0`
fsspec (changelog)	`==2026.3.0` → `==2026.6.0`
gcsfs	`==2024.9.0` → `==2024.12.0`
google-adk (changelog)	`==1.16.0` → `==1.36.1`
google-api-core	`==2.22.0` → `==2.31.0`
google-api-core	`~=2.28.1` → `~=2.31.0`
google-auth (source)	`~=2.34.0` → `~=2.55.1`
google-auth (source)	`==2.27.0` → `==2.55.1`
google-cloud-access-context-manager (source)	`==0.2.1` → `==0.6.0`
google-cloud-asset (source)	`==3.27.0` → `==3.30.1`
google-cloud-bigquery	`==3.29.0` → `==3.42.1`
google-cloud-core (source)	`==2.5.1` → `==2.6.0`
google-cloud-monitoring (source)	`==2.23.0` → `==2.31.0`
google-cloud-org-policy (source)	`==1.11.1` → `==1.18.0`
google-cloud-os-config (source)	`==1.18.0` → `==1.25.0`
google-cloud-pubsub (source)	`~=2.23.0` → `~=2.39.0`
google-cloud-storage (source)	`==2.18.2` → `==2.19.0`
google-resumable-media (source)	`==2.8.2` → `==2.10.0`
google_adk (changelog)	`==1.2.1` → `==1.36.1`
google_cloud_bigquery	`==3.29.0` → `==3.42.1`
googleapis-common-protos (source)	`==1.65.0` → `==1.75.0`
gradio	`==6.10.0` → `==6.19.0`
grpc-google-iam-v1	`==0.13.1` → `==0.14.4`
grpcio	`==1.62.3` → `==1.81.1`
grpcio-status	`==1.62.3` → `==1.81.1`
huggingface_hub	`==0.24.7` → `==0.36.2`
k8s-agent-sandbox	`==0.4.6` → `==0.5.0`
langchain-weaviate	`==0.0.2` → `==0.0.7`
llmcompressor	`==0.8.1` → `==0.12.0`
mlflow	`==3.11.0rc1` → `==3.14.0`
numpy (changelog)	`==2.4.4` → `==2.5.1`
pandas	`==2.2.2` → `==2.3.3`
peft	`==v0.13.2` → `==0.19.1`
pgvector	`==0.3.2` → `==0.5.0`
propcache	`==0.4.1` → `==0.5.2`
proto-plus	`==1.25.0` → `==1.28.0`
psutil	`==6.1.0` → `==6.1.1`
psycopg2-binary (source, changelog)	`==2.9.9` → `==2.9.12`
pyasn1-modules (changelog)	`==0.4.1` → `==0.4.2`
pyasn1_modules (changelog)	`==0.4.1` → `==0.4.2`
pycparser	`==2.22` → `==2.23`
pydantic (changelog)	`==2.11.7` → `==2.13.4`
pymupdf (changelog)	`==1.24.10` → `==1.28.0`
pytz	`==2026.1.post1` → `==2026.2`
qdrant-client	`==1.11.1` → `==1.18.0`
redis (changelog)	`==5.0.8` → `==5.3.1`
requests (changelog)	`==2.33.0` → `==2.34.2`
requests (changelog)	`==2.33.1` → `==2.34.2`
rsa	`==4.9` → `==4.9.1`
ruff (source, changelog)	`>=0.6,<=0.6.4` → `>=0.15,<=0.15.20`
scikit-learn (changelog)	`==1.5.1` → `==1.9.0`
scipy	`==1.17.1` → `==1.18.0`
six	`==1.16.0` → `==1.17.0`
streamlit (changelog)	`==1.54.0` → `==1.59.0`
tensorflow	`==2.17.0` → `==2.21.0`
thejsonlogger	`==0.0.3` → `==0.0.5`
transformers	`==5.0.0` → `==5.13.0`
transformers	`==v4.46.1` → `==4.57.6`
trl	`==v0.11.4` → `==0.29.1`
typing-extensions (changelog)	`==4.15.0` → `==4.16.0`
uvicorn (changelog)	`==0.30.6` → `==0.50.2`
uvicorn (changelog)	`==0.34.0` → `==0.50.2`
weaviate-client	`==4.7.1` → `==4.22.0`
yarl	`==1.23.0` → `==1.24.2`

Warning

Some dependencies could not be looked up. Check the Dependency Dashboard for more information.

Release Notes

pallets/werkzeug (Werkzeug)

`v3.1.8`

Compare Source

Released 2026-04-02

Request.host and get_host return the empty string if the header is
missing or has invalid characters. :issue:3142

`v3.1.7`

Compare Source

Released 2026-03-23

parse_list_header preserves partially quoted items, discards empty
items, and returns empty for unclosed quoted values. :pr:3128
WWWAuthenticate.to_header does not produce a trailing space when there
are no parameters. :issue:3127
Transfer-Encoding is parsed as a set. :pr:3134
Request.host, get_host, and host_is_trusted validate the
characters of the value. An empty value is no longer allowed. A Unix socket
server address is ignored. The trusted_list argument to
host_is_trusted is optional. :pr:3113
Fix multipart form parser handling of newline at boundary. :issue:3088
Response.make_conditional sets the Accept-Ranges header even if it
is not a satisfiable range request. :issue:3108
merge_slashes merges any number of consecutive slashes. :issue:3121

huggingface/accelerate (accelerate)

`v1.14.0`: : AMD ROCm support, FSDP2 hardening

Compare Source

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

Fsdp2 fully_shard embedding and norm by @SunMarc in #4015
Fix fsdp2 load full state dict dtype mismatch by @SunMarc in #4021
Fix region compilation fsdpv2 by @SunMarc in #4022
[FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @roycho96 in #3985
[FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @roycho96 in #3987
fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @JohnGiorgi in #3999
fix: use key-based matching in fsdp2_load_full_state_dict by @roycho96 in #3982
fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @roycho96 in #3981
Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @lollinng in #4065
Prevent double-wrapping models in prepare_model() by @joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @Abdennacer-Badaoui!

Make accelerate work end-to-end on AMD ROCm by @Abdennacer-Badaoui in #4025

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Add padded allgather and broadcast for Neuron devices to reduce recompilation by @czkkkkkk in #4000
fix: add missing neuron device case by @michaelbenayoun in #4042

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Torchao offload by @SunMarc in #3973
Fix int8 offload hook detachment statistics restoration by @jiqing-feng in #4044
Fix keep_in_fp32_modules not working for tied weights in load_and_quantize_model by @jiqing-feng in #4043
Fix dtype_byte_size for FP8 fnuz / e8m0fnu dtypes by @lollinng in #4063

Data Loading

Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @yuxinyuan in #3969
Fix iterable dataset sharding condition when n_shards == num_processes by @SunMarc in #3958
Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @3manifold in #4052

Minor fixes

[DeepSpeed] allow kernels flash-attn in SP by @kashif in #3959
Fix: Conditionally import torch.distributed.algorithms.join in accelerator.py by @0xDELUXA in #3962
Fix is_hf_initialized attribute by @SunMarc in #3976
feat(utils): add max reduction type by @imstevenpmwork in #4027
fix(state): make MLU backend part of the _prepare_backend elif chain by @Anai-Guo in #4057
fix notebook launcher cuda init by @SunMarc in #4059
pytorch-triton-xpu rename to triton-xpu by @sywangyi in #4007
Relax numerical tolerance for XPU in test_big_modeling by @YangKai0616 in #4001
Fix gloo backend error in test_load_checkpoint_and_dispatch_with_broadcast on XPU by @kaixuanliu in #4056
Raise ValueError instead of a bare string in ParallelismConfig.get_device_mesh by @lollinng in #4064
tests: Gracefully handle missing set_device for mps by @booxter in #4028
test: add regression test for no_split_module_classes accepting set type by @UFO0506 in #4048
Fix all tests by @SunMarc in #4072
docs: add aggregate profiler memory example by @aryanputta in #4054
DOC: document missing parameters in load_accelerator_state, find_executable_batch_size, and send_to_device by @kratos0718 in #4051
docs: Fix docstring of fsdp2_prepare_auto_wrap_policy by @slocoro in #4037
Fix DistributedType documentation by @3manifold in #3980
Fix grammar, spelling, and consistency issues across docs and examples by @cihandemir in #3961
docs: fix typos in docstrings, comments, and user docs by @mokashang in #4040
chore: update doc-builder workflow SHA by @rtrompier in #4009
chore: bump doc-builder SHA for main doc build workflow by @rtrompier in #4018
[CI] Bump style-bot SHA + switch to GitHub App by @paulinebm in #4031
Fix TrackioTracker.log() ignoring step parameter by @joshuaswanson in #3975
fix: pass step parameter in TrackioTracker.log() by @liuyun7345 in #3970
fix(tracking): default step=None on tracker.log and accept extra kwargs in MLflowTracker by @1fanwang in #4039
Fix MLflowTracker.store_init_configuration mutating the caller's config dict by @ATOM00blue in #4046
fix(tracker): guard init_trackers and log against None kwargs by @xodn348 in #4026
🔒 Pin GitHub Actions to commit SHAs by @paulinebm in #3992
chore: update build-docker-images-release.yml by @hf-security-analysis[bot] in #4069
chore: enable Dependabot weekly GitHub Actions bumps by @hf-dependantbot-rollout[bot] in #4049
Bump the actions group with 8 updates by @dependabot[bot] in #4068

Full Changelog: huggingface/accelerate@v1.13.0...v1.14.0

`v1.13.0`: : Neuron support, IPEX removal, and distributed training fixes

Compare Source

AWS Neuron support

We now have support for AWS Neuron (Trainium/Inferentia) devices. Thanks @michaelbenayoun for adding this.

Neuron integration by @michaelbenayoun in #3935

XPU Improvements

We've removed IPEX dependency and improved device-agnostic code for XPU.

using spawn instead of fork for XPU device by @kaixuanliu in #3884
Remove ipex by @yao-matrix in #3883
enhance new codes to XPU, and make them be device agnostic by @yao-matrix in #3890
Fix KMP_AFFINITY incorrectly set for non-CPU training by @hexfaker in
#3912

FSDP2 Improvements

We've added a bunch of important fixes for FSDP2 users: upcasting only grad-requiring params, better tied embedding errors, DCP optimizer loading, bf16 optimizer step crash fix, and torch < 2.7.0 compatibility.

Upcast FSDP2 parameters only if requires_grad by @ojh31 in #3848
Fix FSDP2 tied embedding errors with targeted ValueError guidance by @amanzoni1 in #3878
bug: fsdp cannot load optimizer state using dcp by @flymin in #3904
fix crash in optimizer.step when fsdp2 is enabled and model is bfloat16 by @sywangyi in #3905
Fix FSDP2 crash with ignored_params on torch < 2.7.0 by @Mr-Neutr0n in #3924

DeepSpeed Sequence Parallelism

We've added several fixes to the DeepSpeed + Sequence Parallelism integration introduced in v1.12.0, including evaluation support during SP training and proper process group handling.

[SP] fix loss computation example by @kashif in #3858
[SP and CP] error out if both CP and SP enabled by @kashif in #3862
DeepSpeed has its own process group by @kashif in #3916
[Deepspeed] skip device mesh creation when deepspeed and sp_size >1 by @kashif in #3914
Enable evaluation during deepspeed Sequence Parallel by @jp1924 in #3917

FP8

We've enhanced FP8 training. Thanks @shimizust for fixing torchao support.

Fix FP8 torchao default config with padding and FSDP2 all-gather support by @shimizust in #3831
Fix execution with Transformer Engine by @ksivaman in #3852
add MS-AMP deprecation warnings by @neha222222 in #3857

Performance

Accelerate now imports faster by deferring heavy dependencies, and torch.compile hooks are disabled lazily.

Faster import by @SunMarc in #3953
lazy compile disable by @SunMarc in #3947
Disable hook compile by @SunMarc in #3888

Minor fixes

Allow non-Tensor values in a batch with dispatch_batches=True by @tomaarsen in #3850
fix module and optimizer parameter mismatch before prepare_tp_ by @naomili0924 in #3845
Fix KeyError in extract_model_from_parallel for partial torch.compile by @amanzoni1 in #3881
Fix hf_device_map device index comparison in prepare_model by @rezaqorbani in #3895
Fix StatefulDataLoader KeyError with num_workers > 0 by @veeceey in #3931
Fix stateful dataloader DDP by @SunMarc in #3952
Fix: Remove duplicate W&B initialization in offline mode by @shantanugupta2004 in #3886
Avoid using nvidia-smi on a CPU-only Colab instance by @FlorianVal in #3872
Fix logging logic when in_order is set to True by @yuxinyuan in #3280
Fix cpu offload check by @SunMarc in #3946
fix bug when both cpu_ram_efficient_loading and cpu_offload are enabled by @kaixuanliu in #3910
Fix async compatibility across python versions by @SunMarc in #3901
fix tp only bug by @sywangyi in #3908
fix parallelism_config None error by @jp1924 in #3927
Np parall fix by @sywangyi in #3900
change the default value of fsdp_min_num_params to int by @CodeMan62 in #3902
Fix mutable default in Megatron init and IndexError on empty ModuleList by @jashshah999 in #3944
Prepare TP fix by @michaelbenayoun in #3945
feat: added fine tuning example focused on TPUs by @tengomucho in #3847
Remove 8bit force hook for bnb by @SunMarc in #3907
docs: flag MS-AMP as deprecated in low-precision training guides by @ManasVardhan in #3929
fix: correct typo 'guarentee' to 'guarantee' by @thecaptain789 in #3922
Updating support of Megatron-LM by @pengdurice in #3842
Update support of Megatron-LM PR 2 by @pengdurice in #3887
Fix RNG state setting for HPU by @michaelbenayoun in #3936
fix: load the HPU RNG state by @michaelbenayoun in #3937

`v1.12.0`: : Deepspeed Ulysses/ALST

Compare Source

Deepspeed Ulysses/ALST integration

Deepspeed Ulysses/ALST is an efficient way of training on long sequences by employing sequence parallelism and attention head parallelism. You can learn more about this technology in this paper https://arxiv.org/abs/2506.13996 or this deepspeed tutorial https://www.deepspeed.ai/tutorials/ulysses-alst-sequence-parallelism/.

To enable Deepspeed Ulysses, you first need to create ParallelismConfig and setting sp related args:

parallelism_config = ParallelismConfig(
    sp_backend="deepspeed",
    sp_size=2,
    sp_handler=DeepSpeedSequenceParallelConfig(...),
)

Then, you need to make sure to compute the correct loss as described on our docs

        ...
        losses_per_rank = torch.distributed.nn.functional.all_gather(loss, group=sp_group)
        good_tokens = (shift_labels != -100).view(-1).sum()
        good_tokens_per_rank = torch.distributed.nn.functional.all_gather(good_tokens, group=sp_group)
        total_loss = sum(
            losses_per_rank[rank] * good_tokens_per_rank[rank]
            for rank in range(sp_world_size)
            if good_tokens_per_rank[rank] > 0
        )
        total_good_tokens = sum(good_tokens_per_rank)
        loss = total_loss / max(total_good_tokens, 1)

Thanks @S1ro1 for starting this work and for @stas00 for finishing this work. Also thanks @kashif for adding docs and reviewing/testing this PR !

This feature will also be available in HF Trainer thanks for this PR from @stas00: huggingface/transformers#41832

Minor changes

Remove warning for cpu_ram_efficient_loading by @SunMarc in #3816
update typo in bnb quantisation 4bit flag docstring by @hbraith in #3828
ArXiv -> HF Papers by @qgallouedec in #3834
Fix typo in broadcast_object_list docstring by @wsntxxn in #3823
[Bug] Update torch.optim.Optimizer parameter states after tensor parallelism by @naomili0924 in #3835
use self hosted runner by @SunMarc in #3841
device type helper by @kashif in #3843

New Contributors

@hbraith made their first contribution in #3828
@wsntxxn made their first contribution in #3823
@naomili0924 made their first contribution in #3835

Full Changelog: huggingface/accelerate@v1.11.0...v1.12.0

`v1.11.0`: : TE MXFP8, FP16/BF16 with MPS, Python 3.10

Compare Source

TE MXFP8 support

We've added support for MXFP8 in our TransformerEngine integration. To use that, you need to set use_mxfp8_block_scaling in fp8_config. See nvidia docs [here]. (https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/examples/fp8_primer.html#MXFP8-and-block-scaling)

Add support for TE MXFP8 recipe in accelerate by @pstjohn in #3688

FP16/BF16 Training for MPS devices

BF16 and FP16 support for MPS devices is finally here. You can now pass mixed_precision = "fp16" or "bf16" when training on a mac (fp16 requires torch 2.8 and bf16 requires torch 2.6)

Add bf16/fp16 support for amp with mps device by @SunMarc in #3373

FSDP updates

The following PRs add respectively support to ignored_params and no_sync() for FSDPv2:

feat: add ignored_params support for fsdp2 by @kmehant in #3731
fix: model.set_requires_gradient_sync(False) should be called to turn off gradient synchronization in FSDP2 by @EquationWalker in #3762

Mixed precision can now be passed as a dtype string from accelerate cli flag or fsdp_config in accelerate config file:

feat: allow mixed precision policy as dtype by @kmehant in #3751

Nd-parallel updates

Some minor updates concerning nd-parallelism.

Context Parallelism docs typos fixed by @sergiopaniego in #3761
Feat: add to_json by @S1ro1 in #3743
make torch_native_parallelism examples device agnostic by @yao-matrix in #3759
[ND Parallel] Update examples, cleanup by @S1ro1 in #3737

Bump to Python 3.10

We've dropped support for python 3.9 as it reached EOL in October.

Bump to python3.10 + update linter by @SunMarc in #3809

Lots of minor fixes:

fix: CPU RAM efficient loading for nd or HSDP parallelisms by @kmehant in [#3740](https://redirect.github.com/huggingfa

✂ Note

PR body was truncated to here.

olivi-eh · 2024-09-23T15:05:10Z

Looks like most of the issues look like this:

6.059 The conflict is caused by:
6.059     langchain 0.3.0 depends on langchain-core<0.4.0 and >=0.3.0
6.059     langchain-community 0.3.0 depends on langchain-core<0.4.0 and >=0.3.0
6.059     langchain-google-vertexai 1.0.10 depends on langchain-core<0.3 and >=0.2.33

Might need to manually bump langchain-google-vertexai, latest is 2.0.1

forking-renovate · 2025-07-04T16:28:06Z

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

any of the package files in this branch needs updating, or
the branch becomes conflicted, or
you click the rebase/retry checkbox if found above, or
you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: cost-optimization/hpa-config-recommender/requirements.txt

Command failed: pip-compile --generate-hashes requirements.in
  ERROR: Cannot install -r requirements.in (line 10), -r requirements.in (line 11), -r requirements.in (line 12), -r requirements.in (line 13), -r requirements.in (line 15), -r requirements.in (line 19), -r requirements.in (line 5), -r requirements.in (line 7), -r requirements.in (line 8), -r requirements.in (line 9) and protobuf==5.29.6 because these package versions have conflicting dependencies.
Discarding protobuf==5.29.6 (from -r requirements.txt (line 1181)) to proceed the resolution
  ERROR: Cannot install -r requirements.in (line 10), -r requirements.in (line 11), -r requirements.in (line 12), -r requirements.in (line 13), -r requirements.in (line 15), -r requirements.in (line 19), -r requirements.in (line 5), -r requirements.in (line 7), -r requirements.in (line 8), -r requirements.in (line 9) and protobuf==5.29.6 because these package versions have conflicting dependencies.
Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 99, in resolve
    result = self._result = resolver.resolve(
                            ^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py", line 601, in resolve
    state = resolution.resolve(requirements, max_rounds=max_rounds)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py", line 542, in resolve
    raise ResolutionImpossible(self.state.backtrack_causes)
pip._vendor.resolvelib.resolvers.exceptions.ResolutionImpossible: [RequirementInformation(requirement=SpecifierRequirement('protobuf==5.29.6'), parent=None), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=5.29.6'), parent=LinkCandidate('https://files.pythonhosted.org/packages/86/40/9bdbb60b03a332bd45acb8703da08bbc27d991d35286b62e42acc86d243a/google_api_core-2.31.0-py3-none-any.whl (from https://pypi.org/simple/google-api-core/) (requires-python:>=3.10)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/e7/c8/e2645aa8ed02fd4c7a2f59d68783b65b1f3cbdfe39a6308e156509d1fee8/googleapis_common_protos-1.75.0-py3-none-any.whl (from https://pypi.org/simple/googleapis-common-protos/) (requires-python:>=3.9)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/7c/20/b122d4626976acb81132036d2ad1bb35a1a8775fceb837ec30964622516a/proto_plus-1.28.0-py3-none-any.whl (from https://pypi.org/simple/proto-plus/) (requires-python:>=3.10)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/c6/13/47719751cc2864939baea3a0c8e23351706392f1efd05c55dfc4cd6e4a34/google_cloud_access_context_manager-0.6.0-py3-none-any.whl (from https://pypi.org/simple/google-cloud-access-context-manager/) (requires-python:>=3.9)')), RequirementInformation(requirement=SpecifierRequirement('protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<7.0.0,>=3.20.2'), parent=LinkCandidate('https://files.pythonhosted.org/packages/78/69/93134bd9f355abbb8f7341b9781d4d74d956e35b0c0f1702b838d2b0c498/google_cloud_asset-3.30.1-py3-none-any.whl (from https://pypi.org/simple/google-cloud-asset/) (requires-python:>=3.7)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/7f/00/3a585409ea6be01ccd0b56adc1798e74c25da7e2a4dbb7c2a2f62856a4c0/google_cloud_org_policy-1.18.0-py3-none-any.whl (from https://pypi.org/simple/google-cloud-org-policy/) (requires-python:>=3.10)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/63/ba/b017ffb5aa22e8f796790f27dd7e0bf19d037b037b9f489b3bbe31e718ad/google_cloud_os_config-1.25.0-py3-none-any.whl (from https://pypi.org/simple/google-cloud-os-config/) (requires-python:>=3.10)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/89/22/c2dd50c09bf679bd38173656cd4402d2511e563b33bc88f90009cf50613c/grpc_google_iam_v1-0.14.4-py3-none-any.whl (from https://pypi.org/simple/grpc-google-iam-v1/) (requires-python:>=3.9)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=4.25.8'), parent=LinkCandidate('https://files.pythonhosted.org/packages/55/30/aa6635296da9c1c14d2e64f64e1cacd4f4debf8ab7e646c0559545f0f70d/google_cloud_monitoring-2.31.0-py3-none-any.whl (from https://pypi.org/simple/google-cloud-monitoring/) (requires-python:>=3.10)')), RequirementInformation(requirement=SpecifierRequirement('protobuf<8.0.0,>=6.33.5'), parent=LinkCandidate('https://files.pythonhosted.org/packages/e5/5e/5abfec5f7e89d3b7993d57cfb025ca5f968a2c18656d7fcda2b6919440b9/grpcio_status-1.81.1-py3-none-any.whl (from https://pypi.org/simple/grpcio-status/) (requires-python:>=3.10)'))]

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/bin/pip-compile", line 6, in <module>
    sys.exit(cli())
             ^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/click/core.py", line 1569, in __call__
    return self.main(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/click/core.py", line 1490, in main
    rv = self.invoke(ctx)
         ^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/click/core.py", line 1353, in invoke
    return ctx.invoke(self.callback, **ctx.params)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/click/core.py", line 907, in invoke
    return callback(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/click/decorators.py", line 34, in new_func
    return f(get_current_context(), *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/piptools/scripts/compile.py", line 481, in cli
    results = resolver.resolve(max_rounds=max_rounds)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/piptools/resolver.py", line 642, in resolve
    is_resolved = self._do_resolve(
                  ^^^^^^^^^^^^^^^^^
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/piptools/resolver.py", line 677, in _do_resolve
    resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.5.3/3.11.15/lib/python3.11/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 108, in resolve
    raise error from e
pip._internal.exceptions.DistributionNotFound: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

renovate-bot requested review from alizaidis and yoshi-approver as code owners September 23, 2024 00:47

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forking-renovate Bot added the lang: python Issues specific to Python. label Sep 23, 2024

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Release Notes

v3.1.8

v3.1.7

v1.14.0: : AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

AMD ROCm support

Neuron

Quantization & Offloading

Data Loading

Minor fixes

v1.13.0: : Neuron support, IPEX removal, and distributed training fixes

AWS Neuron support

XPU Improvements

FSDP2 Improvements

DeepSpeed Sequence Parallelism

FP8

Performance

Minor fixes

v1.12.0: : Deepspeed Ulysses/ALST

Deepspeed Ulysses/ALST integration

Minor changes

New Contributors

v1.11.0: : TE MXFP8, FP16/BF16 with MPS, Python 3.10

TE MXFP8 support

FP16/BF16 Training for MPS devices

FSDP updates

Nd-parallel updates

Bump to Python 3.10

Lots of minor fixes:

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⚠️ Artifact update problem

File name: cost-optimization/hpa-config-recommender/requirements.txt

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renovate-bot commented Sep 23, 2024 •

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`v3.1.8`

`v3.1.7`

`v1.14.0`: : AMD ROCm support, FSDP2 hardening

`v1.13.0`: : Neuron support, IPEX removal, and distributed training fixes

`v1.12.0`: : Deepspeed Ulysses/ALST

`v1.11.0`: : TE MXFP8, FP16/BF16 with MPS, Python 3.10

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