mirror of
https://github.com/deepseek-ai/DeepInfer.git
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28fb291db1
No behaviour change. `CONTRIBUTING.md` requires `ruff check --no-cache` and `ruff format --check --no-cache` to pass, and the SM90 branch predates that requirement: 72 findings, all in the files added here. Most of it is mechanical (`ruff format`), plus: - annotations for the helper signatures (`torch.Tensor` / `int` / `Generator` / return types); hooks are typed as `Callable[[nn.Module, tuple, object], None]` rather than left bare; - two `if`/`else` assignments become ternaries (SIM108), and the index read in `h20_real_requant_check.py` uses a context manager (SIM115). Also corrects the `sparse_mla_fwd` docstring, which still described the old `0 <= idx <= q_position` masking contract. Passing `is_causal=True` there is what produced the all-NaN layer 0: indices address the assembled `[swa cache | current swa | compressed]` buffer, so the row number is not a valid causal bound and the engine must pass False.
38 lines
848 B
Python
38 lines
848 B
Python
"""Public hardware-neutral discovery functions."""
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from deep_cluster.hardware.device import (
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accelerator_kind,
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assign_visible_devices,
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device_numa_node,
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get_actual_num_gpus,
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get_bf16_tflops_limit,
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is_sm_major_9,
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is_sm_major_10,
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num_gpus,
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physical_device_count,
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physical_device_id,
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set_visible_devices,
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visible_device_count,
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visible_device_env_name,
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visible_device_ids,
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visible_devices,
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)
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__all__ = [
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"accelerator_kind",
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"assign_visible_devices",
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"device_numa_node",
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"get_actual_num_gpus",
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"get_bf16_tflops_limit",
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"is_sm_major_10",
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"is_sm_major_9",
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"num_gpus",
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"physical_device_count",
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"physical_device_id",
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"set_visible_devices",
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"visible_device_count",
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"visible_device_env_name",
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"visible_device_ids",
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"visible_devices",
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]
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