chore(deps): update torch requirement from ^1.9.0 to >=1.9,<3.0

[dependabot[bot]]

Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.1.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

• Remove spurious warning in comparison ops (#112170)
• Fix segfault in foreach_* operations when input list length does not match (#112349)
• Fix cuda driver API to load the appropriate .so file (#112996)
• Fix missing CUDA initialization when calling FFT operations (#110326)
• Ignore beartype==0.16.0 within the onnx package as it is incompatible (#111861)
• Fix the behavior of torch.new_zeros in onnx due to TorchScript behavior change (#111694)
• Remove unnecessary slow code in torch.distributed.checkpoint.optimizer.load_sharded_optimizer_state_dict (#111687)
• Add planner argument to torch.distributed.checkpoint.optimizer.load_sharded_optimizer_state_dict (#111393)
• Continue if param not exist in sharded load in torch.distributed.FSDP (#109116)
• Fix handling of non-contiguous bias_mask in torch.nn.functional.scaled_dot_product_attention (#112673)
• Fix the meta device implementation for nn.functional.scaled_dot_product_attention (#110893)
• Fix copy from mps to cpu device when storage_offset is non-zero (#109557)
• Fix segfault in torch.sparse.mm for non-contiguous inputs (#111742)
• Fix circular import between Dynamo and einops (#110575)
• Verify flatbuffer module fields are initialized for mobile deserialization (#109794)

The pytorch/pytorch#110961 contains all relevant pull requests related to this release as well as links to related issues.

Changelog

Sourced from torch's changelog.

Releasing PyTorch

• Release Compatibility Matrix
• Release Cadence
• General Overview
  • Frequently Asked Questions
• Cutting a release branch preparations
• Cutting release branches
  • pytorch/pytorch
  • pytorch/builder / PyTorch domain libraries
  • Making release branch specific changes for PyTorch
  • Making release branch specific changes for domain libraries
• Drafting RCs (https://github.com/pytorch/pytorch/blob/main/Release Candidates) for PyTorch and domain libraries
  • Release Candidate Storage
  • Release Candidate health validation
  • Cherry Picking Fixes
  • Cherry Picking Reverts
• Promoting RCs to Stable
• Additional Steps to prepare for release day
  • Modify release matrix
  • Open Google Colab issue
• Patch Releases
  • Patch Release Criteria
  • Patch Release Process
    • Patch Release Process Description
    • Triage
    • Issue Tracker for Patch releases
    • Building a release schedule / cherry picking
    • Building Binaries / Promotion to Stable
• Hardware / Software Support in Binary Build Matrix
  • Python
    • TL;DR
  • Accelerator Software
    • Special support cases
• Submitting Tutorials
• Special Topics
  • Updating submodules for a release
  • Triton dependency for the release

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

PyTorch version	Python	Stable CUDA	Experimental CUDA
2.1	>=3.8, <=3.11	CUDA 11.8, CUDNN 8.7.0.84	CUDA 12.1, CUDNN 8.9.2.26

... (truncated)

Commits

• 4c55dc5 remove _shard_tensor() call (#111687)
• f58669b c10::DriverAPI Try opening libcuda.so.1 (#113096)
• 33106b7 [DCP] Add test for planner option for load_sharded_optimizer_state_dict (#11...
• 4b4c012 Enable planner to be used for loading sharded optimizer state dict (#112520)
• 47ac502 [DCP][test] Make dim_0 size of params scale with world_size in torch/distribu...
• dc96ecb Fix mem eff bias bug (#112673) (#112796)
• 18a2ed1 Mirror of Xformers Fix (#112267) (#112795)
• b2e1277 Fix the meta func for mem_eff_backward (#110893) (#112792)
• b249946 [Release-only] Pin Docker images to 2.1 for release (#112665)
• ee79fc8 Revert "Fix bug: not creating empty tensor with correct sizes and device. (#1...
• Additional commits viewable in compare view

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