Release 3.0.5 (#208)

* V3 (#187)

* V3

* removing v2 ci pipeline

* removing outdated .gitmodules

* keeping the noise that sample size of 50 and slight decay of .5 in EMA provides to avoid having any one model completely dominate the subnet.

* release 2.2.6 datasets, models, and lora support (#188)

* deprecate stable-diffusion-inpainting

* .env templates

* V3/RGB (#191)

* bgr images --> rgb images

* proper BGR -> RGB conversion

* eradicate all usage of bgr in image challenge flow

* extract frames as rgb

* skip extraneous rgb conversion

* fix deeperforesnics consistency

* v2 frame sampling parity + eidon mp4 fix

* missing import

* handling improper reporting of fps in wembs

* correct content-type on miner side

* max_fpx setting

* improved video metadata extraction

* cleaning up ffprobe options

* fixing first frame rotation edge case

* i2i fix

---------

Co-authored-by: Dylan Uys <dylan@bitmind.ai>

* V3 frame extraction (#192)

* bgr images --> rgb images

* proper BGR -> RGB conversion

* eradicate all usage of bgr in image challenge flow

* extract frames as rgb

* skip extraneous rgb conversion

* fix deeperforesnics consistency

* v2 frame sampling parity + eidon mp4 fix

* missing import

* handling improper reporting of fps in wembs

* correct content-type on miner side

* max_fpx setting

* improved video metadata extraction

* cleaning up ffprobe options

* fixing first frame rotation edge case

* i2i fix

* frame extraction

---------

Co-authored-by: Dylan Uys <dylan@bitmind.ai>

* setup.sh

* removing wandb log call from generator

* V3/2.2.9 (#189)

* mugshot dataset

* black

* i2v support and fixed prompt motion enhancement

* gen pipeline updates for i2v

* fixing prompt indexing

* properly handling new prompt dictionary key (task type)

* V3/2.2.11 (#190)

* mugshot dataset

* black

* i2v support and fixed prompt motion enhancement

* gen pipeline updates for i2v

* prompt sanitation + i2v model

* more retries for prompt sanitation

* fixing truthy tuple assertion

* Update min_compute.yml

* fixing setup script name in docs

* correct script name

* updated requirements.txt with bittensor-cli

* removing wandb.off

* import cleanup

* miner substrate thread restart + vali autoupdate test

* temporary v3 branch set to test autoudpate

* autoupdate update

* lower frequency of audoupdate check

* autoudpate test

* check autoupdate at setp 0

* typo

* autoupdate test

* dont set weights immediately at startup in case of many restarts

* Pyproject toml (#193)

* pyproject setup

* executable setup.sh

* autoupdate test

* resetting version after autoupdate tests

* Add Hugging Face model access instructions to validator docs; improve logging and fix LLM device mapping for multi-GPU

- Added section to Validating.md with instructions for gaining access to required Hugging Face models (FLUX.1-dev, DeepFloyd IF).
- Added logging of generation arguments in generation_pipeline.py.
- Fix LLM loading for multi-GPU in prompt_generator.py: use device_map and remove .to(self.device) for quantized models.
  Quantized LLMs must use device_map for correct device placement; calling .to(self.device) causes device mismatch errors. Parse GPU ID from device string for device_map assignment.

* fixing image_samples check for i2i

* hf_xet requirement

* wandb autorestart

* Fix: raise error if image is None for i2i/i2v tasks and ensure image is converted from array

* fixing wandb autorestart

* error log

* Update setup.sh to install Node.js 20.x LTS from NodeSource for pm2 compatibility; add doc note for existing validators' Hugging Face access

* external port for proxy cuz tensordock rugged us (#196)

* incentive doc

* Typo

* proxy updates

* v2 parity encoding (#197)

* final autoupdate test

* reset version

---------

Co-authored-by: Benjamin S Liang <caliangben@gmail.com>
Co-authored-by: Dylan Uys <dylan@bitmind.ai>

* autoupdate set to main

* testing autoupdate on testnet

* autoupdate enabled by default

* autoudpate testnet

* pointing autoupdate at main by default

* removing extra state load command

* setting back to 360 epoch length

* burn for initial v3 release rampup

* debug log typo

* fixed merge to testnet

* Max Frames and Timeout (#203)

* fixing wandb cache clean paths (#202)

* max frames configuration

* fn header update

* slight increase to timeout

* adding extra metadata to testnet requests for miners (#201)

* remove max size arg

* Testnet Metadata (#204)

* adding extra metadata to testnet requests for miners

* adding label and mediatype to testnet metadata

* Log Augmentation Parameters (#205)

* log augmentation params

* braindead typo

* bump verison

* [testnet] Release 3.0.5 (#207)

* fix hotkey check in sync_metagraph

* bump version

---------

Co-authored-by: Benjamin S Liang <caliangben@gmail.com>
Co-authored-by: Dylan Uys <dylan@bitmind.ai>

Author: dylanuys

VERSION

@@ -1 +1 @@
-3.0.4
+3.0.5

bitmind/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "3.0.4"
+__version__ = "3.0.5"
 
 version_split = __version__.split(".")
 __spec_version__ = (

bitmind/scoring/eval_engine.py

@@ -126,7 +126,7 @@ def _update_scores(self, rewards: dict):
         scattered_rewards[vali_uids] = 0.0
         scattered_rewards[no_response_uids] = 0.0
         scattered_rewards[uids_array] = rewards
-        bt.logging.debug(f"Scattered rewards: {rewards}")
+        bt.logging.debug(f"Scattered rewards: {scattered_rewards}")
 
         # Update scores with rewards produced by this step.
         # shape: [ metagraph.n ]
@@ -288,7 +288,7 @@ def sync_to_metagraph(self):
         handles clearing predictio history in `update` when a new hotkey
         is detected"""
         hotkeys = self.tracker.miner_hotkeys
-        for uid, hotkey in enumerate(hotkeys):
+        for uid, hotkey in hotkeys.items():
             if hotkey != self.metagraph.hotkeys[uid]:
                 self.scores[uid] = 0  # hotkey has been replaced
         self.maybe_extend_scores(self.metagraph.n)