warpscale
Python SDK to report PyTorch training progress to Warpscale.
Install
pip install warpscale
Use
import warpscale
# Once, after dist.init_process_group().
warpscale.init(total_steps=40_000, total_epochs=3, framework="fsdp", precision="bf16")
# Call on every rank; rank 0 emits, the rest are no-ops.
for epoch in range(epochs):
for batch in loader:
... # one optimizer step
warpscale.step()
warpscale.epoch()
warpscale.checkpoint_started()
save_checkpoint() # incl. the async dcp.async_save tail
warpscale.checkpoint_persisted()
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