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Bug fix for the schedule after the update_optimizer #272

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merged 6 commits into from
Nov 30, 2023
Merged

Bug fix for the schedule after the update_optimizer #272

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9a67814
Bug fix for after qat compression_scheduler
oguzhanbsolak Nov 27, 2023
ba95ed2
linter updates
oguzhanbsolak Nov 27, 2023
dfbedcc
linter updates
oguzhanbsolak Nov 27, 2023
e458497
Linter updates
oguzhanbsolak Nov 28, 2023
8577ee6
Linter update
oguzhanbsolak Nov 28, 2023
83db639
readability update
oguzhanbsolak Nov 29, 2023
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2 changes: 1 addition & 1 deletion .github/linters/.python-lint
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Expand Up @@ -9,7 +9,7 @@ max-line-length = 99
max-locals=100
max-statements=300
min-public-methods=1
max-branches=100
max-branches=120
max-module-lines=5000
max-args=20
max-returns=10
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8 changes: 8 additions & 0 deletions train.py
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Expand Up @@ -527,6 +527,14 @@ def main():
# Update the optimizer to reflect fused batchnorm layers
optimizer = ai8x.update_optimizer(model, optimizer)

# Update the compression scheduler to reflect the updated optimizer
for ep, _ in enumerate(compression_scheduler.policies):
for i, _ in enumerate(compression_scheduler.policies[ep]):
for attr_key in dir(compression_scheduler.policies[ep][i]):
attr = getattr(compression_scheduler.policies[ep][i], attr_key)
if hasattr(attr, 'optimizer'):
attr.optimizer = optimizer

# Switch model from unquantized to quantized for QAT
ai8x.initiate_qat(model, qat_policy)

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