* lazy rewrite, try 2
* min fix tests
* pass contig test
* put broken pads back
* move that to realize
* no contig child fixes array packing
* so wrong
* now that's correct
* base children
* fix bind issues
* disable to_image_idx
* fix tests
* that failure shouldn't break other tests
* more fixes
* fix torch
* skip failing tests in CI
* 1e-7
* half is broken
* 1e-6 margin of error
* validate stable diffusion for seed 0
the closest false positive i can get is with the setup and one less step. dist = 0.0036
same setup with fp16 has dist=5e-6.
so setting validation threshold to 1e-4 should be good
* run with --seed 0
The current yolov3 example is broken with the current implementation of of fetch in the helpers. I was tempted to fix the helpers instead but that could have just as well broken other examples.
* feat: working voice 2 text using whisper
* feat: added llama generation
* feat: vits init
* feat: more accurate voice conversion
* feat: support for tts and working pipeline for the first pass
* fix: linter checks
* refactored vits initialization and inference, added mmts-tts support
* fixed process sync and now we can have an infinite conversation
* reuse output stream to remove overhead of creating a new one each time
* added pre-prompt configuration with yaml files
* adjusted code to merge PR which changed whisper
* optimized whisper, now it's blazing fast and also reduced number of lines
* added better debug printing
* use jitted encode function for whisper, added timings and removed response delim to save speed on generating those tokens
* fixed hf convert and now it's working with tinyllama
* added tinyllama config
* refactored code and made it work with all llama models
* prettier order
* prettier order
* fixed suffix for tinyllama and refactored convert_from_hf
* added missing parameters
* fixed stream release and added missing params
* jitted dp and encoder
* jitted flow forward
* removed re-init of espeak on each call to save up time
* jitted generator forward for blazing fast tts
* added contextmanager for displaying a chat log
* removed whitespace for pylint
* updated code to support latest fetch func
* wait for llama eos token and pass params from cli to llama
* listen for not fixed amount of time
* refactored code a bit
* removed thresholding and now the output streams directly to whisper
* tokenize llama output for vits batch size to work and stream each sentence to a speaker
* changed speaker
* whisper is now printing on the same line
* don't trigger llama on whisper output in parens
* added tinyllama chat model
* adjusted code to work with tinyllama chat model
* removed unused cli arg
* autofetch tokenizer and tinyllama model. add 3 chat tokens to the tokenizer
* fixed issue with long sentences by chunking them
* support for multiline llama output
* prettified log output
* adjusted sentence length
* remove quote from response to avoid funny tts
* fixed prompts
* added missing parameter
* cpu tests pass
* torch works
* works
* metal works
* fix ops_disk
* metal jit works
* fix openpilot
* llvm and clang work
* fix webgpu
* docs are rly broken
* LRU works on metal
* delete comment
* revert name to ._buf. LRU only on Compiled
* changes
* allocator
* allocator, getting closer
* lru alloc
* LRUAllocator
* all pass
* metal
* cuda
* test examples
* linearizer
* test fixes
* fix custom + clean realize
* fix hip
* skip tests
* fix tests
* fix size=0
* fix MOCKHIP
* fix thneed
* copy better
* simple
* old style metal copy
* fix thneed
* np reshape
* give cuda a device
* torch and numpy don't share ops anymore
* that should be filtered out elsewhere
* still const
* graph + enet example cleanup
* hmm, we do still need it because of symbolic
* add name support
* use fetch in gpt2
* remove requests from main lib, networkx also optional
* umm, keep that assert
* updates to fetch
* i love the walrus so much
* stop bundling mnist with tinygrad
* err, https
* download cache names
* add DOWNLOAD_CACHE_VERSION
* need env.
* ugh, wrong path
* replace get_child
* fixed hf convert and now it's working with tinyllama
* added tinyllama config
* refactored code and made it work with all llama models
* prettier order
* prettier order
* fixed suffix for tinyllama and refactored convert_from_hf
* dynamically update help if MODEL_PARAMS changes and default size is the 1st
