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baselines/asvd_ppl.log
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| 1 |
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Loading model...
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| 2 |
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`torch_dtype` is deprecated! Use `dtype` instead!
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2026-04-21 06:45:33.028642: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
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2026-04-21 06:45:33.043469: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
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WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
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E0000 00:00:1776753933.059345 804 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
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E0000 00:00:1776753933.064594 804 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
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W0000 00:00:1776753933.078016 804 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
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W0000 00:00:1776753933.078038 804 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
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W0000 00:00:1776753933.078042 804 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
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W0000 00:00:1776753933.078044 804 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
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2026-04-21 06:45:33.081513: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
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To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
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AttributeError: 'MessageFactory' object has no attribute 'GetPrototype'
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AttributeError: 'MessageFactory' object has no attribute 'GetPrototype'
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AttributeError: 'MessageFactory' object has no attribute 'GetPrototype'
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AttributeError: 'MessageFactory' object has no attribute 'GetPrototype'
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AttributeError: 'MessageFactory' object has no attribute 'GetPrototype'
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Collecting covariances...
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Calibration: 16/256 samples
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Calibration: 32/256 samples
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Calibration: 48/256 samples
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Calibration: 64/256 samples
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Calibration: 80/256 samples
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Calibration: 96/256 samples
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Calibration: 112/256 samples
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Calibration: 128/256 samples
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Calibration: 144/256 samples
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Calibration: 160/256 samples
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Calibration: 176/256 samples
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Calibration: 192/256 samples
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Calibration: 208/256 samples
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Calibration: 224/256 samples
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Calibration: 240/256 samples
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Calibration: 256/256 samples
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============================================================
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ASVD PPL-mode at ratio=0.4
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[ASVD-PPL] Measuring sensitivity: 224 layers × 6 ratios
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[1/224] self_attn.q_proj layer=0 pr=0.4 ppl=5.34
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[1/224] self_attn.q_proj layer=0 pr=0.5 ppl=5.34
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[1/224] self_attn.q_proj layer=0 pr=0.6 ppl=5.34
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[1/224] self_attn.q_proj layer=0 pr=0.7 ppl=5.34
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[1/224] self_attn.q_proj layer=0 pr=0.8 ppl=5.34
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[1/224] self_attn.q_proj layer=0 pr=0.9 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.4 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.5 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.6 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.7 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.8 ppl=5.34
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[2/224] self_attn.k_proj layer=0 pr=0.9 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.4 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.5 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.6 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.7 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.8 ppl=5.34
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[3/224] self_attn.v_proj layer=0 pr=0.9 ppl=5.34
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[4/224] self_attn.o_proj layer=0 pr=0.4 ppl=5.34
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[4/224] self_attn.o_proj layer=0 pr=0.5 ppl=5.34
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[4/224] self_attn.o_proj layer=0 pr=0.9 ppl=5.34
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[5/224] mlp.gate_proj layer=0 pr=0.4 ppl=5.34
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[5/224] mlp.gate_proj layer=0 pr=0.5 ppl=5.34
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[5/224] mlp.gate_proj layer=0 pr=0.9 ppl=5.34
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[7/224] mlp.down_proj layer=0 pr=0.4 ppl=5.35
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[8/224] self_attn.q_proj layer=1 pr=0.4 ppl=5.34
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[12/224] mlp.gate_proj layer=1 pr=0.9 ppl=5.34
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[13/224] mlp.up_proj layer=1 pr=0.4 ppl=5.35
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[13/224] mlp.up_proj layer=1 pr=0.9 ppl=5.34
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[14/224] mlp.down_proj layer=1 pr=0.4 ppl=5.36
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[14/224] mlp.down_proj layer=1 pr=0.5 ppl=5.35
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[14/224] mlp.down_proj layer=1 pr=0.6 ppl=5.35
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[15/224] self_attn.q_proj layer=2 pr=0.4 ppl=5.34
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[21/224] mlp.down_proj layer=2 pr=0.4 ppl=5.37
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[21/224] mlp.down_proj layer=2 pr=0.5 ppl=5.36
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