Deploy dashboard

data/clusters.json

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@@ -795,74 +801,6 @@
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+    "body_excerpt": "## What does this PR do? Fixes a bug in `is_torch_xla_version()` where `is_torch_xla_available` (a function) is referenced without parentheses. This checks the truthiness of the function object itself (always `True`) rather than calling it\u2026",
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+    "body_excerpt": "# What does this PR do? Adds a new \"Ring Anything\" context-parallel attention mode that supports arbitrary (non-evenly divisible) KV sequence lengths across ring-degree workers. ### Motivation Existing `TemplatedRingAttention` requires KV\u2026",
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+    "body_excerpt": "## What does this PR do? In `examples/research_projects/pytorch_xla/inference/flux/flux_inference_spmd.py`, the `NotImplementedError` exception object is created but never raised when `num_devices < 4`: ```python # Before (bug): else: NotI\u2026",
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+    "body_excerpt": "## What does this PR do? `AdaLayerNormZeroSingle.forward()` has a return type annotation declaring a 5-element tuple: ```python def forward(self, x, emb=None) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]:\u2026",
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+    "body_excerpt": "## What does this PR do? Shrinks dummy inputs in `TestWanAnimateTransformer3DTorchAo` to avoid OOM on devices without FlashAttention (e.g. XPU, which falls back to math SDPA and materializes the full O(S\u00b2) attention matrix). Reduced `hidde\u2026",
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+    "body_excerpt": "## What does this PR do? Implements the `_dequantize()` method for `TorchAoHfQuantizer`, enabling `model.dequantize()` to convert TorchAO-quantized models back to standard float weights. ### Changes 1. **Add `_dequantize()` method**: Itera\u2026",
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+  },
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+    "body_excerpt": "## What does this PR do? Enables TorchAO `int4wo` (Int4WeightOnlyConfig) quantization tests on Intel XPU devices. ### Changes 1. **Remove `_int4wo_skip` marker**: The `int4wo` tests were previously restricted to CUDA only. Removed this ski\u2026",
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+  },
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+    "body_excerpt": "# What does this PR do? Potentially fixes https://github.com/huggingface/diffusers/pull/13472#discussion_r3082680279",
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-    "body_excerpt": "## What does this PR do? Fixes several latent bugs across the codebase: **Mutable default arguments** (shared state across calls): - `_replace_with_gguf_linear`: `modules_to_not_convert=[]` -> `None` with guard - `_dequantize_gguf_and_rest\u2026",
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-    "body_excerpt": "please see https://github.com/huggingface/diffusers/issues/12893#issuecomment-3961152727 this is a PR against release v.0.36.0, therefore currently not mergable. I can change that if and when this PR is agreed upon. - Pipelines and pipelin\u2026",
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-    "author": "kirillsst",
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-    "body_excerpt": "## Summary - Z-Image uses a different CFG formula: `pred = pos + guidance_scale * (pos - neg)`, where `guidance_scale = 0` corresponds to no guidance - The `do_classifier_free_guidance` property was checking `> 1` (standard diffusers conve\u2026",
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-    "body_excerpt": "# What does this PR do? * Fixes support for ring attention for Flash and Flash 3 * Adds a test suite for CP backends x attention backends <img width=\"1024\" height=\"1024\" alt=\"image\" src=\"https://github.com/user-attachments/assets/2600632f-\u2026",
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-    "body_excerpt": "# What does this PR do? Since Quanto is now in maintenance mode. I think we can deprecate it and remove by 1.0.0 <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in th\u2026",
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