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https://github.com/huggingface/text-generation-inference.git
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* Making prefix/flashinfer the default and testing the full release tests. * Include flashinfer in the docker. * Using prebuilt. * Allowing window_left_size (dummy version). * Disabling flashinfer/prefix caching on odd head_dim * Disable prefix caching for lora. * More specific codes. * Update lock * Updating integration tests with new values with FI/FD. Remove paged as a default too, and using FD everywhere. * Update cargo lock ? * Upgrade to 1.80 because of bitstream... * Everywhere 1.80 * Forgot last default place. * Apply suggestions from code review Co-authored-by: drbh <david.richard.holtz@gmail.com> * Updated flake lock * Tmp * Upgrade resolution system for less errors in resolution. * Remove lambda for cleaner function. * Handling debugger. * OVerride the env in server tests. * Is this enough to make it work ? * This seems to be working. * Downgrade some logs. * Fixing the default for vlm. * Don't enable prefix caching on VLM just yet. * Change `add_special_tokens` in order to have the correct tokens for chat input and not (since it's super important with the prefixing now) * Fixing prefix caching for flashdecoding. * Update all models. * Fixed flashinfer version. * add_special_tokens is internal only * Fixing seqlen with the new vlms. * Fixing the issue with `add_special_tokens` not being passed around. * Fixing the test. * Removing encoder_decoder (seq2seq). * Update the chat test. * Fixing the batching tokenization in flash causal lm. * Truncating left for radix purposes. * Oops this doesn't belong here. * Put back default pure shell. * Update server tests - Default to throughput test in k6 - Use TGI_WIGGLE_ROOM to adjust wiggle room * Only n_heads / process_group.size() are necessary. * Revert the integrationt tests change (seem linked to head_size modification). * Adding error message when assert is violated. * Fixing the free algorithm to handle times where the common prefix is smaller. * Apply suggestions from code review Co-authored-by: OlivierDehaene <olivier@huggingface.co> * Update server/text_generation_server/layers/attention/common.py Co-authored-by: OlivierDehaene <olivier@huggingface.co> * Fix disabling prefix caching - Fix windowing checks. * Revert the Cohere tokenizer change (for now using a revision instead). * Fmt. --------- Co-authored-by: drbh <david.richard.holtz@gmail.com> Co-authored-by: OlivierDehaene <olivier@huggingface.co>
46 lines
1.6 KiB
Makefile
46 lines
1.6 KiB
Makefile
include Makefile-flash-att
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include Makefile-flash-att-v2
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include Makefile-vllm
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include Makefile-awq
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include Makefile-eetq
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include Makefile-selective-scan
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include Makefile-lorax-punica
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include Makefile-fbgemm
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include Makefile-exllamav2
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include Makefile-flashinfer
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unit-tests:
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pytest -s -vv -m "not private" tests
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gen-server:
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# Compile protos
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pip install grpcio-tools==1.62.2 mypy-protobuf==3.6.0 'types-protobuf' --no-cache-dir
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mkdir text_generation_server/pb || true
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python -m grpc_tools.protoc -I../proto/v3 --python_out=text_generation_server/pb \
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--grpc_python_out=text_generation_server/pb --mypy_out=text_generation_server/pb ../proto/v3/generate.proto
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find text_generation_server/pb/ -type f -name "*.py" -print0 -exec sed -i -e 's/^\(import.*pb2\)/from . \1/g' {} \;
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touch text_generation_server/pb/__init__.py
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install-server: gen-server
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pip install pip --upgrade
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pip install -r requirements_cuda.txt
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pip install -e ".[accelerate, quantize, peft, outlines]"
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install: install-cuda
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echo "Installed server"
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install-cuda: install-server install-flash-attention-v2-cuda install-vllm-cuda install-flash-attention install-fbgemm
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pip install -e ".[bnb]"
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pip install nvidia-nccl-cu12==2.22.3
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install-rocm: install-server install-flash-attention-v2-rocm install-vllm-rocm
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run-dev:
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SAFETENSORS_FAST_GPU=1 python -m torch.distributed.run --nproc_per_node=2 text_generation_server/cli.py serve bigscience/bloom-560m --sharded
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export-requirements:
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poetry export -o requirements_cuda.txt --without-hashes
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poetry export -o requirements_rocm.txt --without-hashes
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poetry export -o requirements_intel.txt --without-hashes
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