v0.7.6: Patch release

What's Changed

• DeepSpeed inference config. (#2459) by @awan-10 in #2472
• Update docs to autogenerate pydantic config model docs by @mrwyattii in #2509
• Add max_tokens alias to max_out_tokens arg to maintain backwards compatibility by @lekurile in #2508
• Deepspeed quantization library v0.1 by @lokoppakmsft in #2450
• Fix backward compatibility for InferenceConfig by @mrwyattii in #2516
• Add missing Inference sub-configs by @mrwyattii in #2518
• Add note about nvcc/hipcc requirement by @jeffra in #2519
• Update codeowners by @jeffra in #2525
• Dequantization Utils Library by @cmikeh2 in #2521
• Fixes for torch 1.14 due to new torch.numel return type by @jeffra in #2522
• Ensure MOE is initialized for SD by @cmikeh2 in #2534
• Make DS-Inference config readable from JSON by @mrwyattii in #2537
• Add MII tests by @mrwyattii in #2533
• Remove mutable default parameter in init_inference() by @aphedges in #2540
• Change Where DS/Triton is Used in Stable Diffusion by @cmikeh2 in #2536
• Pass down the new DS inference config to replace_transformer_layer. by @awan-10 in #2539
• Adding Gradient Accumulation Data Type Config by @jomayeri in #2512
• Report progress at gradient accumulation boundary by @ShijieZZZZ in #2553
• encoded ds config into command line argument when launching child processes in autotuning by @cli99 in #2524
• Add missing MoE fields to inference config for backward compatibility by @mrwyattii in #2556
• Abstract accelerator (step 1) by @delock in #2504
• Fix invalid check of recorded parameter orders in zero stage3. by @inkcherry in #2550

New Contributors

• @ShijieZZZZ made their first contribution in #2553
• @delock made their first contribution in #2504
• @inkcherry made their first contribution in #2550

Full Changelog: v0.7.5...v0.7.6