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Published 20 hours ago • verified publisher icon intel

0 MHA found

Open tatiana-iazykova opened this issue 11 months ago • 1 comments

Hi! I tried to prune my model (mistralai/Mistral-7B-v0.1) with the following config

    pruning_config = WeightPruningConfig(
        pruning_type="snip_momentum_progressive",
        start_step=0,
        end_step=15,
        sparsity_decay_type='exp',
        pruning_op_types=["Linear"],
        op_names=['.*.self_attn'],
        excluded_op_names=["lm_head", "embed_tokens"],
        max_sparsity_ratio_per_op=0.98,
        pruning_scope="global",
    )

However when I try to slim the model, the logger says that 0 MHA found

tatiana-iazykova avatar Dec 16 '24 10:12 tatiana-iazykova

If I try to slim_model in bfloat16 the log is the following

2024-12-16 10:49:21 [WARNING][logger.py:132] You are using model slim methods, some weight channels will be removed permanently.
2024-12-16 10:49:21 [INFO][logger.py:114] Generating static graph from original model using auto dummy input: start.
/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py:5005: FutureWarning: `_is_quantized_training_enabled` is going to be deprecated in transformers 4.39.0. Please use `model.hf_quantizer.is_trainable` instead
  warnings.warn(
`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`.
/usr/local/lib/python3.11/dist-packages/transformers/models/mistral/modeling_mistral.py:256: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim):
2024-12-16 10:55:03 [INFO][logger.py:114] Generating static graph from original model using auto dummy input: success.
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.0.mlp.down_proj', 'target_frontier_linears': ['model.layers.0.mlp.gate_proj', 'model.layers.0.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.1.mlp.down_proj', 'target_frontier_linears': ['model.layers.1.mlp.gate_proj', 'model.layers.1.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.2.mlp.down_proj', 'target_frontier_linears': ['model.layers.2.mlp.gate_proj', 'model.layers.2.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.3.mlp.down_proj', 'target_frontier_linears': ['model.layers.3.mlp.gate_proj', 'model.layers.3.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.4.mlp.down_proj', 'target_frontier_linears': ['model.layers.4.mlp.gate_proj', 'model.layers.4.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.5.mlp.down_proj', 'target_frontier_linears': ['model.layers.5.mlp.gate_proj', 'model.layers.5.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.6.mlp.down_proj', 'target_frontier_linears': ['model.layers.6.mlp.gate_proj', 'model.layers.6.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.7.mlp.down_proj', 'target_frontier_linears': ['model.layers.7.mlp.gate_proj', 'model.layers.7.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.8.mlp.down_proj', 'target_frontier_linears': ['model.layers.8.mlp.gate_proj', 'model.layers.8.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.9.mlp.down_proj', 'target_frontier_linears': ['model.layers.9.mlp.gate_proj', 'model.layers.9.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.10.mlp.down_proj', 'target_frontier_linears': ['model.layers.10.mlp.gate_proj', 'model.layers.10.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.11.mlp.down_proj', 'target_frontier_linears': ['model.layers.11.mlp.gate_proj', 'model.layers.11.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.12.mlp.down_proj', 'target_frontier_linears': ['model.layers.12.mlp.gate_proj', 'model.layers.12.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.13.mlp.down_proj', 'target_frontier_linears': ['model.layers.13.mlp.gate_proj', 'model.layers.13.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.14.mlp.down_proj', 'target_frontier_linears': ['model.layers.14.mlp.gate_proj', 'model.layers.14.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.15.mlp.down_proj', 'target_frontier_linears': ['model.layers.15.mlp.gate_proj', 'model.layers.15.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.16.mlp.down_proj', 'target_frontier_linears': ['model.layers.16.mlp.gate_proj', 'model.layers.16.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.17.mlp.down_proj', 'target_frontier_linears': ['model.layers.17.mlp.gate_proj', 'model.layers.17.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.18.mlp.down_proj', 'target_frontier_linears': ['model.layers.18.mlp.gate_proj', 'model.layers.18.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.19.mlp.down_proj', 'target_frontier_linears': ['model.layers.19.mlp.gate_proj', 'model.layers.19.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.20.mlp.down_proj', 'target_frontier_linears': ['model.layers.20.mlp.gate_proj', 'model.layers.20.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.21.mlp.down_proj', 'target_frontier_linears': ['model.layers.21.mlp.gate_proj', 'model.layers.21.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.22.mlp.down_proj', 'target_frontier_linears': ['model.layers.22.mlp.gate_proj', 'model.layers.22.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.23.mlp.down_proj', 'target_frontier_linears': ['model.layers.23.mlp.gate_proj', 'model.layers.23.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.24.mlp.down_proj', 'target_frontier_linears': ['model.layers.24.mlp.gate_proj', 'model.layers.24.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.25.mlp.down_proj', 'target_frontier_linears': ['model.layers.25.mlp.gate_proj', 'model.layers.25.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.26.mlp.down_proj', 'target_frontier_linears': ['model.layers.26.mlp.gate_proj', 'model.layers.26.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.27.mlp.down_proj', 'target_frontier_linears': ['model.layers.27.mlp.gate_proj', 'model.layers.27.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.28.mlp.down_proj', 'target_frontier_linears': ['model.layers.28.mlp.gate_proj', 'model.layers.28.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.29.mlp.down_proj', 'target_frontier_linears': ['model.layers.29.mlp.gate_proj', 'model.layers.29.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.30.mlp.down_proj', 'target_frontier_linears': ['model.layers.30.mlp.gate_proj', 'model.layers.30.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] {'root_linear': 'model.layers.31.mlp.down_proj', 'target_frontier_linears': ['model.layers.31.mlp.gate_proj', 'model.layers.31.mlp.up_proj']}
2024-12-16 10:55:07 [INFO][logger.py:114] Found 32 linear2linear structures
2024-12-16 10:55:07 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:07 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:07 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:08 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:08 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:08 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:09 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:10 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:10 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:10 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:11 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:12 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:12 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:12 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:13 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:14 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:14 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:14 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:15 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:16 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:16 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:16 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:17 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:18 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:18 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:18 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:19 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:20 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:20 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:20 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:21 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:22 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:22 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:22 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:23 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:24 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:24 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:24 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:25 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:26 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:26 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:26 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:27 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:28 [INFO][logger.py:114] linear compression: [4096, 14336] -> [4096, 14336]
2024-12-16 10:55:28 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:28 [INFO][logger.py:114] linear compression: [14336, 4096] -> [14336, 4096]
2024-12-16 10:55:28 [INFO][logger.py:114] Post pruning model slim finished.
2024-12-16 10:55:29 [WARNING][logger.py:132] You are using model slim methods, some attention heads will be removed permanently.
2024-12-16 10:55:29 [INFO][logger.py:114] Generating static graph from original model using auto dummy input: start.
2024-12-16 11:01:10 [INFO][logger.py:114] Generating static graph from original model using auto dummy input: success.
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.0.self_attn.q_proj', 'model.layers.0.self_attn.k_proj', 'model.layers.0.self_attn.v_proj'], 'ffn': ['model.layers.0.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.1.self_attn.q_proj', 'model.layers.1.self_attn.k_proj', 'model.layers.1.self_attn.v_proj'], 'ffn': ['model.layers.1.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.2.self_attn.q_proj', 'model.layers.2.self_attn.k_proj', 'model.layers.2.self_attn.v_proj'], 'ffn': ['model.layers.2.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.3.self_attn.q_proj', 'model.layers.3.self_attn.k_proj', 'model.layers.3.self_attn.v_proj'], 'ffn': ['model.layers.3.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.4.self_attn.q_proj', 'model.layers.4.self_attn.k_proj', 'model.layers.4.self_attn.v_proj'], 'ffn': ['model.layers.4.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.5.self_attn.q_proj', 'model.layers.5.self_attn.k_proj', 'model.layers.5.self_attn.v_proj'], 'ffn': ['model.layers.5.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.6.self_attn.q_proj', 'model.layers.6.self_attn.k_proj', 'model.layers.6.self_attn.v_proj'], 'ffn': ['model.layers.6.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.7.self_attn.q_proj', 'model.layers.7.self_attn.k_proj', 'model.layers.7.self_attn.v_proj'], 'ffn': ['model.layers.7.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.8.self_attn.q_proj', 'model.layers.8.self_attn.k_proj', 'model.layers.8.self_attn.v_proj'], 'ffn': ['model.layers.8.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.9.self_attn.q_proj', 'model.layers.9.self_attn.k_proj', 'model.layers.9.self_attn.v_proj'], 'ffn': ['model.layers.9.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.10.self_attn.q_proj', 'model.layers.10.self_attn.k_proj', 'model.layers.10.self_attn.v_proj'], 'ffn': ['model.layers.10.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.11.self_attn.q_proj', 'model.layers.11.self_attn.k_proj', 'model.layers.11.self_attn.v_proj'], 'ffn': ['model.layers.11.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.12.self_attn.q_proj', 'model.layers.12.self_attn.k_proj', 'model.layers.12.self_attn.v_proj'], 'ffn': ['model.layers.12.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.13.self_attn.q_proj', 'model.layers.13.self_attn.k_proj', 'model.layers.13.self_attn.v_proj'], 'ffn': ['model.layers.13.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.14.self_attn.q_proj', 'model.layers.14.self_attn.k_proj', 'model.layers.14.self_attn.v_proj'], 'ffn': ['model.layers.14.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.15.self_attn.q_proj', 'model.layers.15.self_attn.k_proj', 'model.layers.15.self_attn.v_proj'], 'ffn': ['model.layers.15.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.16.self_attn.q_proj', 'model.layers.16.self_attn.k_proj', 'model.layers.16.self_attn.v_proj'], 'ffn': ['model.layers.16.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.17.self_attn.q_proj', 'model.layers.17.self_attn.k_proj', 'model.layers.17.self_attn.v_proj'], 'ffn': ['model.layers.17.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.18.self_attn.q_proj', 'model.layers.18.self_attn.k_proj', 'model.layers.18.self_attn.v_proj'], 'ffn': ['model.layers.18.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.19.self_attn.q_proj', 'model.layers.19.self_attn.k_proj', 'model.layers.19.self_attn.v_proj'], 'ffn': ['model.layers.19.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.20.self_attn.q_proj', 'model.layers.20.self_attn.k_proj', 'model.layers.20.self_attn.v_proj'], 'ffn': ['model.layers.20.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.21.self_attn.q_proj', 'model.layers.21.self_attn.k_proj', 'model.layers.21.self_attn.v_proj'], 'ffn': ['model.layers.21.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.22.self_attn.q_proj', 'model.layers.22.self_attn.k_proj', 'model.layers.22.self_attn.v_proj'], 'ffn': ['model.layers.22.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.23.self_attn.q_proj', 'model.layers.23.self_attn.k_proj', 'model.layers.23.self_attn.v_proj'], 'ffn': ['model.layers.23.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.24.self_attn.q_proj', 'model.layers.24.self_attn.k_proj', 'model.layers.24.self_attn.v_proj'], 'ffn': ['model.layers.24.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.25.self_attn.q_proj', 'model.layers.25.self_attn.k_proj', 'model.layers.25.self_attn.v_proj'], 'ffn': ['model.layers.25.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.26.self_attn.q_proj', 'model.layers.26.self_attn.k_proj', 'model.layers.26.self_attn.v_proj'], 'ffn': ['model.layers.26.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.27.self_attn.q_proj', 'model.layers.27.self_attn.k_proj', 'model.layers.27.self_attn.v_proj'], 'ffn': ['model.layers.27.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.28.self_attn.q_proj', 'model.layers.28.self_attn.k_proj', 'model.layers.28.self_attn.v_proj'], 'ffn': ['model.layers.28.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.29.self_attn.q_proj', 'model.layers.29.self_attn.k_proj', 'model.layers.29.self_attn.v_proj'], 'ffn': ['model.layers.29.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.30.self_attn.q_proj', 'model.layers.30.self_attn.k_proj', 'model.layers.30.self_attn.v_proj'], 'ffn': ['model.layers.30.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] {'qkv': ['model.layers.31.self_attn.q_proj', 'model.layers.31.self_attn.k_proj', 'model.layers.31.self_attn.v_proj'], 'ffn': ['model.layers.31.self_attn.o_proj']}
2024-12-16 11:01:10 [INFO][logger.py:114] Found 32 MHA modules
2024-12-16 11:01:10 [INFO][logger.py:114] Following attributes are hooked and might be modified: {'head_nums': 'num_heads', 'head_size': 'head_dim', 'hidden_size': 'hidden_size'}
2024-12-16 11:01:10 [INFO][logger.py:114] head indice to be slim: []
2024-12-16 11:01:10 [WARNING][logger.py:132] model MHA slim failed.

tatiana-iazykova avatar Dec 16 '24 11:12 tatiana-iazykova

This issue is stale because it has been open 60 days with no activity. Remove stale label or comment or this will be closed in 7 days.

github-actions[bot] avatar Oct 28 '25 22:10 github-actions[bot]

This issue was closed because it has been stalled for 7 days with no activity.

github-actions[bot] avatar Nov 05 '25 22:11 github-actions[bot]