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Fix LinearInt8 recursive quantization #791
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Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchchat/791
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 PendingAs of commit e9e1b24 with merge base 50e61b5 ( NEW FAILURES - The following jobs have failed:
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mikekgfb
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- T H A N K Y O U !!! *
malfet
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Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
malfet
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Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
malfet
added a commit
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Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
malfet
added a commit
that referenced
this pull request
Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
malfet
added a commit
that referenced
this pull request
Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
malfet
added a commit
that referenced
this pull request
Jul 17, 2024
Test plan: ``` % python3 torchchat.py generate llama2 --dtype float16 --quantize '{"linear:int8": {"groupsize": 0}}' --prompt "Once upon a time," --device mps Using device=mps Loading model... Time to load model: 29.03 seconds Quantizing the model with: {'linear:int8': {'groupsize': 0}} Time to quantize model: 14.37 seconds ``` Fixes #788
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By balancing
else:
to the rightif isinstance(child, nn.Linear):
Test plan:
Fixes #788