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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 55 new columns ({'n_expanded_embd', 'time_stats.attn_post_proj.max', 'time_stats.add.max', 'use_gated_mlp', 'time_stats.input_layernorm.min', 'time_stats.input_layernorm.std', 'time_stats.input_layernorm.median', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.median', 'time_stats.mlp_act.mean', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_up_proj.max', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.max', 'time_stats.add.mean', 'num_tokens', 'time_stats.attn_rope.max', 'time_stats.mlp_down_proj.mean', 'time_stats.emb.max', 'time_stats.post_attention_layernorm.median', 'time_stats.attn_pre_proj.std', 'time_stats.mlp_up_proj.median', 'time_stats.add.std', 'time_stats.mlp_up_proj.std', 'time_stats.post_attention_layernorm.mean', 'time_stats.add.min', 'time_stats.attn_post_proj.mean', 'time_stats.attn_post_proj.std', 'time_stats.emb.median', 'time_stats.attn_rope.min', 'time_stats.attn_post_proj.min', 'time_stats.add.median', 'time_stats.attn_rope.mean', 'time_stats.attn_pre_proj.median', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.median', 'time_stats.emb.min', 'time_stats.mlp_act.max', 'time_stats.mlp_up_proj.mean', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.attn_pre_proj.min', 'n_head', 'time_stats.post_attention_layernorm.max', 'time_stats.mlp_down_proj.max', 'time_stats.emb.mean', 'time_stats.mlp_act.median', 'time_stats.input_layernorm.max', 'time_stats.mlp_down_proj.min', 'vocab_size', 'time_stats.post_attention_layernorm.min', 'time_stats.post_attention_layernorm.std', 'time_stats.attn_rope.std', 'time_stats.emb.std', 'time_stats.mlp_act.std'}) and 28 missing columns ({'time_stats.attn_input_reshape.max', 'batch_size', 'prefill_chunk_size', 'time_stats.attn_output_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.mean', 'time_stats.attn_prefill.median', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_input_reshape.mean', 'time_stats.attn_decode.max', 'is_prefill', 'time_stats.attn_prefill.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.min', 'time_stats.attn_output_reshape.std', 'kv_cache_size', 'time_stats.attn_prefill.std', 'n_q_head', 'time_stats.attn_output_reshape.max', 'max_model_len', 'time_stats.attn_decode.std', 'attention_backend', 'time_stats.attn_prefill.max', 'time_stats.attn_decode.min', 'block_size', 'time_stats.attn_input_reshape.min'}).

This happened while the csv dataset builder was generating data using

hf://datasets/project-vajra/dev-staging-internlm-internlm-20b-a100/mlp.csv (at revision 19889e0bfcdb10f7157491a3dcb631d241a53486)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              time_stats.emb.min: double
              time_stats.emb.max: double
              time_stats.emb.mean: double
              time_stats.emb.median: double
              time_stats.emb.std: double
              time_stats.input_layernorm.min: double
              time_stats.input_layernorm.max: double
              time_stats.input_layernorm.mean: double
              time_stats.input_layernorm.median: double
              time_stats.input_layernorm.std: double
              time_stats.attn_pre_proj.min: double
              time_stats.attn_pre_proj.max: double
              time_stats.attn_pre_proj.mean: double
              time_stats.attn_pre_proj.median: double
              time_stats.attn_pre_proj.std: double
              time_stats.attn_rope.min: double
              time_stats.attn_rope.max: double
              time_stats.attn_rope.mean: double
              time_stats.attn_rope.median: double
              time_stats.attn_rope.std: double
              time_stats.attn_post_proj.min: double
              time_stats.attn_post_proj.max: double
              time_stats.attn_post_proj.mean: double
              time_stats.attn_post_proj.median: double
              time_stats.attn_post_proj.std: double
              time_stats.post_attention_layernorm.min: double
              time_stats.post_attention_layernorm.max: double
              time_stats.post_attention_layernorm.mean: double
              time_stats.post_attention_layernorm.median: double
              time_stats.post_attention_layernorm.std: double
              time_stats.mlp_up_proj.min: double
              time_stats.mlp_up_proj.max: double
              time_stats.mlp_up_proj.mean: double
              time_stats.mlp_up_proj.median: double
              time_stats.mlp_up_proj.std: double
              time_stats.mlp_act.min: double
              time_stats.mlp_act.max: double
              time_stats.mlp_act.mean: double
              time_stats.mlp_act.median: double
              time_stats.mlp_act.std: double
              time_stats.mlp_down_proj.min: double
              time_stats.mlp_down_proj.max: double
              time_stats.mlp_down_proj.mean: double
              time_stats.mlp_down_proj.median: double
              time_stats.mlp_down_proj.std: double
              time_stats.add.min: double
              time_stats.add.max: double
              time_stats.add.mean: double
              time_stats.add.median: double
              time_stats.add.std: double
              n_head: int64
              n_kv_head: int64
              n_embd: int64
              n_expanded_embd: int64
              vocab_size: int64
              use_gated_mlp: bool
              num_tokens: int64
              num_tensor_parallel_workers: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 8978
              to
              {'time_stats.attn_input_reshape.min': Value('float64'), 'time_stats.attn_input_reshape.max': Value('float64'), 'time_stats.attn_input_reshape.mean': Value('float64'), 'time_stats.attn_input_reshape.median': Value('float64'), 'time_stats.attn_input_reshape.std': Value('float64'), 'time_stats.attn_decode.min': Value('float64'), 'time_stats.attn_decode.max': Value('float64'), 'time_stats.attn_decode.mean': Value('float64'), 'time_stats.attn_decode.median': Value('float64'), 'time_stats.attn_decode.std': Value('float64'), 'time_stats.attn_output_reshape.min': Value('float64'), 'time_stats.attn_output_reshape.max': Value('float64'), 'time_stats.attn_output_reshape.mean': Value('float64'), 'time_stats.attn_output_reshape.median': Value('float64'), 'time_stats.attn_output_reshape.std': Value('float64'), 'time_stats.attn_prefill.min': Value('float64'), 'time_stats.attn_prefill.max': Value('float64'), 'time_stats.attn_prefill.mean': Value('float64'), 'time_stats.attn_prefill.median': Value('float64'), 'time_stats.attn_prefill.std': Value('float64'), 'n_embd': Value('int64'), 'n_q_head': Value('int64'), 'n_kv_head': Value('int64'), 'block_size': Value('int64'), 'num_tensor_parallel_workers': Value('int64'), 'max_model_len': Value('int64'), 'batch_size': Value('int64'), 'prefill_chunk_size': Value('int64'), 'kv_cache_size': Value('int64'), 'is_prefill': Value('bool'), 'attention_backend': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 55 new columns ({'n_expanded_embd', 'time_stats.attn_post_proj.max', 'time_stats.add.max', 'use_gated_mlp', 'time_stats.input_layernorm.min', 'time_stats.input_layernorm.std', 'time_stats.input_layernorm.median', 'time_stats.attn_pre_proj.mean', 'time_stats.mlp_down_proj.median', 'time_stats.mlp_act.mean', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_up_proj.max', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.max', 'time_stats.add.mean', 'num_tokens', 'time_stats.attn_rope.max', 'time_stats.mlp_down_proj.mean', 'time_stats.emb.max', 'time_stats.post_attention_layernorm.median', 'time_stats.attn_pre_proj.std', 'time_stats.mlp_up_proj.median', 'time_stats.add.std', 'time_stats.mlp_up_proj.std', 'time_stats.post_attention_layernorm.mean', 'time_stats.add.min', 'time_stats.attn_post_proj.mean', 'time_stats.attn_post_proj.std', 'time_stats.emb.median', 'time_stats.attn_rope.min', 'time_stats.attn_post_proj.min', 'time_stats.add.median', 'time_stats.attn_rope.mean', 'time_stats.attn_pre_proj.median', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.median', 'time_stats.emb.min', 'time_stats.mlp_act.max', 'time_stats.mlp_up_proj.mean', 'time_stats.input_layernorm.mean', 'time_stats.attn_rope.median', 'time_stats.attn_pre_proj.min', 'n_head', 'time_stats.post_attention_layernorm.max', 'time_stats.mlp_down_proj.max', 'time_stats.emb.mean', 'time_stats.mlp_act.median', 'time_stats.input_layernorm.max', 'time_stats.mlp_down_proj.min', 'vocab_size', 'time_stats.post_attention_layernorm.min', 'time_stats.post_attention_layernorm.std', 'time_stats.attn_rope.std', 'time_stats.emb.std', 'time_stats.mlp_act.std'}) and 28 missing columns ({'time_stats.attn_input_reshape.max', 'batch_size', 'prefill_chunk_size', 'time_stats.attn_output_reshape.median', 'time_stats.attn_decode.mean', 'time_stats.attn_output_reshape.mean', 'time_stats.attn_prefill.median', 'time_stats.attn_decode.median', 'time_stats.attn_input_reshape.median', 'time_stats.attn_input_reshape.mean', 'time_stats.attn_decode.max', 'is_prefill', 'time_stats.attn_prefill.mean', 'time_stats.attn_output_reshape.min', 'time_stats.attn_input_reshape.std', 'time_stats.attn_prefill.min', 'time_stats.attn_output_reshape.std', 'kv_cache_size', 'time_stats.attn_prefill.std', 'n_q_head', 'time_stats.attn_output_reshape.max', 'max_model_len', 'time_stats.attn_decode.std', 'attention_backend', 'time_stats.attn_prefill.max', 'time_stats.attn_decode.min', 'block_size', 'time_stats.attn_input_reshape.min'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/project-vajra/dev-staging-internlm-internlm-20b-a100/mlp.csv (at revision 19889e0bfcdb10f7157491a3dcb631d241a53486)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

time_stats.attn_input_reshape.min
float64
time_stats.attn_input_reshape.max
float64
time_stats.attn_input_reshape.mean
float64
time_stats.attn_input_reshape.median
float64
time_stats.attn_input_reshape.std
float64
time_stats.attn_decode.min
float64
time_stats.attn_decode.max
float64
time_stats.attn_decode.mean
float64
time_stats.attn_decode.median
float64
time_stats.attn_decode.std
float64
time_stats.attn_output_reshape.min
float64
time_stats.attn_output_reshape.max
float64
time_stats.attn_output_reshape.mean
float64
time_stats.attn_output_reshape.median
float64
time_stats.attn_output_reshape.std
float64
time_stats.attn_prefill.min
null
time_stats.attn_prefill.max
null
time_stats.attn_prefill.mean
null
time_stats.attn_prefill.median
null
time_stats.attn_prefill.std
null
n_embd
int64
n_q_head
int64
n_kv_head
int64
block_size
int64
num_tensor_parallel_workers
int64
max_model_len
int64
batch_size
int64
prefill_chunk_size
int64
kv_cache_size
int64
is_prefill
bool
attention_backend
string
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5,120
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4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.049
0.05
0.0496
0.05
0.00049
0.002
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0
null
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null
5,120
40
40
16
1
4,096
27
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.053
0.054
0.0538
0.054
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
40
16
1
4,096
28
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.056
0.0552
0.055
0.0004
0.002
0.002
0.002
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0
null
null
null
null
null
5,120
40
40
16
1
4,096
29
0
32
false
AttentionBackend.FLASH_ATTENTION
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0.056
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0
0.002
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0
null
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null
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null
5,120
40
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.058
0.058
0.058
0
0.002
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0
null
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null
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null
5,120
40
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16
1
4,096
31
0
32
false
AttentionBackend.FLASH_ATTENTION
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0.061
0.0608
0.061
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
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16
1
4,096
32
0
32
false
AttentionBackend.FLASH_ATTENTION
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0.062
0.0614
0.061
0.00049
0.002
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0
null
null
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null
5,120
40
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1
4,096
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0
32
false
AttentionBackend.FLASH_ATTENTION
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0.065
0.0646
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0.00049
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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0
32
false
AttentionBackend.FLASH_ATTENTION
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0.066
0.0658
0.066
0.0004
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.069
0.069
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0
0.002
0.002
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0
null
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null
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null
5,120
40
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16
1
4,096
36
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32
false
AttentionBackend.FLASH_ATTENTION
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0.068
0.0678
0.068
0.0004
0.002
0.002
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0
null
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null
5,120
40
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1
4,096
37
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32
false
AttentionBackend.FLASH_ATTENTION
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0.071
0.0708
0.071
0.0004
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
38
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32
false
AttentionBackend.FLASH_ATTENTION
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0.076
0.0754
0.075
0.00049
0.002
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0
null
null
null
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null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.078
0.0772
0.077
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
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16
1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.079
0.0782
0.078
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.08
0.0796
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0.00049
0.002
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
42
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.083
0.0828
0.083
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
43
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32
false
AttentionBackend.FLASH_ATTENTION
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0.085
0.0842
0.084
0.000748
0.002
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.086
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0
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.086
0.086
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0
0.002
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
46
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32
false
AttentionBackend.FLASH_ATTENTION
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0.091
0.0904
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0.00049
0.002
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.092
0.0912
0.091
0.0004
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.093
0.094
0.0938
0.094
0.0004
0.002
0.003
0.0022
0.002
0.0004
null
null
null
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null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.095
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0
0.002
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0
null
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null
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null
5,120
40
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4,096
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false
AttentionBackend.FLASH_ATTENTION
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0.098
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0
0.002
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0
null
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null
null
null
5,120
40
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1
4,096
51
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32
false
AttentionBackend.FLASH_ATTENTION
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0.098
0.0978
0.098
0.0004
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0
null
null
null
null
null
5,120
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.1
0.101
0.1004
0.1
0.00049
0.002
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0
null
null
null
null
null
5,120
40
40
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1
4,096
53
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false
AttentionBackend.FLASH_ATTENTION
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0
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0.101
0.101
0.101
0
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
54
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.105
0.1042
0.104
0.0004
0.002
0.002
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0
null
null
null
null
null
5,120
40
40
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1
4,096
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32
false
AttentionBackend.FLASH_ATTENTION
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0.107
0.107
0.107
0
0.002
0.003
0.0022
0.002
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null
null
null
null
null
5,120
40
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1
4,096
56
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false
AttentionBackend.FLASH_ATTENTION
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0.109
0.108
0.108
0.000632
0.002
0.003
0.0022
0.002
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null
null
null
null
null
5,120
40
40
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1
4,096
57
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32
false
AttentionBackend.FLASH_ATTENTION
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0.11
0.11
0.11
0.11
0
0.002
0.002
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0.002
0
null
null
null
null
null
5,120
40
40
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1
4,096
58
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32
false
AttentionBackend.FLASH_ATTENTION
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0.113
0.112
0.112
0.000632
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
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1
4,096
59
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.114
0.1136
0.114
0.00049
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
60
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
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0.115
0.1144
0.114
0.00049
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
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1
4,096
61
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.117
0.117
0.117
0
0.002
0.002
0.002
0.002
0
null
null
null
null
null
5,120
40
40
16
1
4,096
62
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
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0.12
0.1196
0.12
0.00049
0.002
0.002
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0.002
0
null
null
null
null
null
5,120
40
40
16
1
4,096
63
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.119
0.121
0.1204
0.121
0.0008
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
64
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
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0.123
0.1224
0.122
0.00049
0.002
0.002
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0.002
0
null
null
null
null
null
5,120
40
40
16
1
4,096
65
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.124
0.126
0.1248
0.125
0.000748
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
66
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.126
0.127
0.1268
0.127
0.0004
0.002
0.003
0.0024
0.002
0.00049
null
null
null
null
null
5,120
40
40
16
1
4,096
67
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.127
0.127
0.127
0.127
0
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
68
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0.128
0.129
0.1286
0.129
0.00049
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
69
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.13
0.131
0.1308
0.131
0.0004
0.002
0.003
0.0026
0.003
0.00049
null
null
null
null
null
5,120
40
40
16
1
4,096
70
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0.132
0.133
0.1326
0.133
0.00049
0.002
0.003
0.0026
0.003
0.00049
null
null
null
null
null
5,120
40
40
16
1
4,096
71
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
0
0.134
0.134
0.134
0.134
0
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
72
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0.135
0.136
0.1358
0.136
0.0004
0.002
0.003
0.0024
0.002
0.00049
null
null
null
null
null
5,120
40
40
16
1
4,096
73
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.138
0.138
0.138
0
0.002
0.003
0.0022
0.002
0.0004
null
null
null
null
null
5,120
40
40
16
1
4,096
74
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.14
0.14
0.14
0.14
0
0.002
0.003
0.0028
0.003
0.0004
null
null
null
null
null
5,120
40
40
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1
4,096
75
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.141
0.142
0.1414
0.141
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
76
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.141
0.144
0.1426
0.143
0.00102
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
77
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0.145
0.146
0.1454
0.145
0.00049
0.003
0.003
0.003
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0
null
null
null
null
null
5,120
40
40
16
1
4,096
78
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
0
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0.147
0.1468
0.147
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
79
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32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
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0.149
0.148
0.148
0.000632
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
80
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.149
0.15
0.1492
0.149
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
81
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
0
0.152
0.153
0.1522
0.152
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
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1
4,096
82
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.153
0.155
0.1542
0.154
0.000748
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
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1
4,096
83
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32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.154
0.155
0.1548
0.155
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
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1
4,096
84
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0.156
0.157
0.1564
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0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
85
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0.158
0.159
0.1586
0.159
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
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1
4,096
86
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
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0.16
0.161
0.1604
0.16
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
87
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
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0
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0.161
0.162
0.1616
0.162
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
88
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.163
0.164
0.1632
0.163
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
89
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.165
0.166
0.1656
0.166
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
90
0
32
false
AttentionBackend.FLASH_ATTENTION
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0
0
0
0
0.167
0.168
0.1674
0.167
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
91
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.168
0.168
0.168
0.168
0
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
92
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.17
0.17
0.17
0.17
0
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
93
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.172
0.173
0.1724
0.172
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
94
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.174
0.175
0.1742
0.174
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
95
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.175
0.175
0.175
0.175
0
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
96
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.176
0.177
0.1768
0.177
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
97
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.178
0.179
0.1782
0.178
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
98
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.18
0.181
0.1808
0.181
0.0004
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
99
0
32
false
AttentionBackend.FLASH_ATTENTION
0
0
0
0
0
0.182
0.183
0.1824
0.182
0.00049
0.003
0.003
0.003
0.003
0
null
null
null
null
null
5,120
40
40
16
1
4,096
100
0
32
false
AttentionBackend.FLASH_ATTENTION
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