Add manual tip-position chunking for NumPy and PyTorch dI/dV backends - #80
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| from pyPPSTM.probe_stm_vectorized import ProbeStmVectorized, ProbeStmVectorizedSp, ProbeStmVectorizedSpd | ||
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| DeviceLikeType: TypeAlias = str | torch.device | int |
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Why this can be removed?
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My IDE accidentally included that statement in one of the previous commits.
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Description
Adds manual tip-position chunking to the vectorized dI/dV implementations so that high-stress NumPy and PyTorch workloads can trade runtime for lower peak memory use.
Changes
n_tip_position_chunkssupport through:ProbeSTM.dIdVProbeSTM.STMProbeSTM.MSTMSTMutils.run_stm_scanadvanced.n_tip_position_chunksTOML support with a Si 7x7 NumPy chunking example.ppstm_run.pyand debug logging around chunk progress.tests/conftest.py.Closes #70