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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 7 new columns ({'Max SMACT', 'Max SMOCC', 'Max GRACT', 'Max GPUTL', 'Max DRAMA', 'Avg DRAMA', 'Max FP32A'}) and 1 missing columns ({'architecture'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/CNN/cnn_data_for_util.csv (at revision d05bf68351072fb2b341b7d0b2e80ca5680a8fb8), [/tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_new_approach.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_new_approach.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/fc_data_GPU_memory_extensive.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/fc_data_GPU_memory_extensive.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data2.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data2.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/cnn_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/cnn_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/mlp_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/mlp_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/transformer_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/transformer_data_for_util.csv)]
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Filename: string
Depth: int64
Activations-Params: string
Activation Function: string
Total Activations: int64
Total Parameters: int64
Batch Size: int64
Max GPU Memory (MiB): int64
Avg GPUTL: double
Max GPUTL: double
Avg GRACT: double
Max GRACT: double
Avg SMACT: double
Max SMACT: double
Avg SMOCC: double
Max SMOCC: double
Avg FP32A: double
Max FP32A: double
Avg DRAMA: double
Max DRAMA: double
Conv2d Count: int64
BatchNorm2d Count: int64
Dropout Count: int64
AdaptiveAvgPool2d Count: int64
Linear Count: int64
Status: string
Input Size (MB): double
Forward/Backward Pass Size (MB): double
Params Size (MB): double
Estimated Total Size (MB): double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4030
to
{'Filename': Value('string'), 'Depth': Value('int64'), 'Activations-Params': Value('string'), 'Activation Function': Value('string'), 'Total Activations': Value('int64'), 'Total Parameters': Value('int64'), 'Batch Size': Value('int64'), 'Max GPU Memory (MiB)': Value('int64'), 'Avg GPUTL': Value('float64'), 'Avg GRACT': Value('float64'), 'Avg SMACT': Value('float64'), 'Avg SMOCC': Value('float64'), 'Avg FP32A': Value('float64'), 'Conv2d Count': Value('int64'), 'BatchNorm2d Count': Value('int64'), 'Dropout Count': Value('int64'), 'AdaptiveAvgPool2d Count': Value('int64'), 'Linear Count': Value('int64'), 'Status': Value('string'), 'Input Size (MB)': Value('float64'), 'Forward/Backward Pass Size (MB)': Value('float64'), 'Params Size (MB)': Value('float64'), 'Estimated Total Size (MB)': Value('float64'), 'architecture': 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, 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 7 new columns ({'Max SMACT', 'Max SMOCC', 'Max GRACT', 'Max GPUTL', 'Max DRAMA', 'Avg DRAMA', 'Max FP32A'}) and 1 missing columns ({'architecture'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/CNN/cnn_data_for_util.csv (at revision d05bf68351072fb2b341b7d0b2e80ca5680a8fb8), [/tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_new_approach.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/CNN/cnn_data_new_approach.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/fc_data_GPU_memory_extensive.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/fc_data_GPU_memory_extensive.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data2.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data2.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/MLP/mlp_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data1.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data1.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/Transformers/transformer_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/cnn_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/cnn_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/mlp_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/mlp_data_for_util.csv), /tmp/hf-datasets-cache/medium/datasets/68517689847198-config-parquet-and-info-ehyo-GPU-Resources-Estima-3e59754c/hub/datasets--ehyo--GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks/snapshots/d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/transformer_data_for_util.csv (origin=hf://datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks@d05bf68351072fb2b341b7d0b2e80ca5680a8fb8/transformer_data_for_util.csv)]
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.
Filename string | Depth int64 | Activations-Params string | Activation Function string | Total Activations int64 | Total Parameters int64 | Batch Size int64 | Max GPU Memory (MiB) int64 | Avg GPUTL float64 | Avg GRACT float64 | Avg SMACT float64 | Avg SMOCC float64 | Avg FP32A float64 | Conv2d Count int64 | BatchNorm2d Count int64 | Dropout Count int64 | AdaptiveAvgPool2d Count int64 | Linear Count int64 | Status string | Input Size (MB) float64 | Forward/Backward Pass Size (MB) float64 | Params Size (MB) float64 | Estimated Total Size (MB) float64 | architecture string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
input_channels:3_num_classes:453_depth:22_arch:uniform_base_filters:98_batch:62_input_size:174_act:gelu_dropout:0.3442169060458645_dropout:True_batchnorm:False.out | 69 | [('conv2d', 183956976, 2744), ('GELU', 183956976, 0), ('dropout', 183956976, 0), ('conv2d', 183956976, 86534), ('GELU', 183956976, 0), ('dropout', 183956976, 0), ('conv2d', 183956976, 86534), ('GELU', 183956976, 0), ('dropout', 183956976, 0), ('conv2d', 183956976, 86534), ('GELU', 183956976, 0), ('dropout', 183956976, ... | GELU | 195,826,172 | 1,864,805 | 62 | 39,517 | -1 | -1 | -1 | -1 | -1 | 22 | 0 | 22 | 1 | 1 | SUCCESSFUL | 21.7 | 123,506.48 | 7.11 | 123,535.29 | uniform |
input_channels:1_num_classes:167_depth:11_arch:pyramid_base_filters:70_batch:46_input_size:118_act:selu_dropout:0.19151156817540396_dropout:True_batchnorm:True.out | 47 | [('conv2d', 44835280, 700), ('batchnorm2d', 44835280, 140), ('SELU', 44835280, 0), ('dropout', 44835280, 0), ('conv2d', 60847880, 59945), ('batchnorm2d', 60847880, 190), ('SELU', 60847880, 0), ('dropout', 60847880, 0), ('conv2d', 82625016, 110424), ('batchnorm2d', 82625016, 258), ('SELU', 82625016, 0), ('dropout', 8262... | SELU | 306,385,536 | 32,924,348 | 46 | 36,831 | -1 | -1 | -1 | -1 | -1 | 11 | 11 | 11 | 1 | 1 | OOM_CRASH | 2.3 | 134,408.32 | 125.6 | 134,536.22 | pyramid |
input_channels:3_num_classes:99_depth:14_arch:uniform_base_filters:121_batch:34_input_size:90_act:elu_dropout:0.37457174282124006_dropout:False_batchnorm:False.out | 31 | [('conv2d', 33323400, 3388), ('ELU', 33323400, 0), ('conv2d', 33323400, 131890), ('ELU', 33323400, 0), ('conv2d', 33323400, 131890), ('ELU', 33323400, 0), ('conv2d', 33323400, 131890), ('ELU', 33323400, 0), ('conv2d', 33323400, 131890), ('ELU', 33323400, 0), ('conv2d', 33323400, 131890), ('ELU', 33323400, 0), ('conv2d'... | ELU | 27,443,119 | 1,730,036 | 34 | 6,293 | 90.222222 | 0.913875 | 0.84186 | 0.44707 | 0.023073 | 14 | 0 | 0 | 1 | 1 | SUCCESSFUL | 3.06 | 10,678.04 | 6.6 | 10,687.7 | uniform |
input_channels:3_num_classes:95_depth:16_arch:uniform_base_filters:73_batch:10_input_size:160_act:elu_dropout:0.25411316426075414_dropout:True_batchnorm:True.out | 67 | [('conv2d', 18688000, 2044), ('batchnorm2d', 18688000, 146), ('ELU', 18688000, 0), ('dropout', 18688000, 0), ('conv2d', 18688000, 48034), ('batchnorm2d', 18688000, 146), ('ELU', 18688000, 0), ('dropout', 18688000, 0), ('conv2d', 18688000, 48034), ('batchnorm2d', 18688000, 146), ('ELU', 18688000, 0), ('dropout', 1868800... | ELU | 119,603,463 | 731,920 | 10 | 6,475 | 93.703125 | 0.932032 | 0.884245 | 0.391189 | 0.033538 | 16 | 16 | 16 | 1 | 1 | SUCCESSFUL | 2.9 | 11,406.3 | 2.79 | 11,411.99 | uniform |
input_channels:1_num_classes:149_depth:12_arch:gradual_base_filters:64_batch:18_input_size:44_act:relu_dropout:0.4310027159231188_dropout:False_batchnorm:True.out | 39 | [('conv2d', 2230272, 640), ('batchnorm2d', 2230272, 128), ('ReLU', 2230272, 0), ('conv2d', 2543904, 42121), ('batchnorm2d', 2543904, 146), ('ReLU', 2543904, 0), ('conv2d', 2962080, 55930), ('batchnorm2d', 2962080, 170), ('ReLU', 2962080, 0), ('conv2d', 3415104, 75068), ('batchnorm2d', 3415104, 196), ('ReLU', 3415104, 0... | ReLU | 11,111,315 | 2,960,902 | 18 | 2,779 | 88.328125 | 0.864873 | 0.758109 | 0.295291 | 0.015018 | 12 | 12 | 0 | 1 | 1 | SUCCESSFUL | 0.18 | 2,034.54 | 11.29 | 2,046.01 | gradual |
input_channels:3_num_classes:255_depth:24_arch:pyramid_base_filters:126_batch:2_input_size:50_act:mish_dropout:0.4268541547234518_dropout:True_batchnorm:True.out | 99 | [('conv2d', 630000, 3528), ('batchnorm2d', 630000, 252), ('Mish', 630000, 0), ('dropout', 630000, 0), ('conv2d', 705000, 160035), ('batchnorm2d', 705000, 282), ('Mish', 705000, 0), ('dropout', 705000, 0), ('conv2d', 790000, 200660), ('batchnorm2d', 790000, 316), ('Mish', 790000, 0), ('dropout', 790000, 0), ('conv2d', 8... | Mish | 155,882,333 | 128,242,341 | 2 | 5,075 | 92.703125 | 0.915953 | 0.881 | 0.280288 | 0.020702 | 24 | 24 | 24 | 1 | 1 | SUCCESSFUL | 0.06 | 2,973.22 | 489.21 | 3,462.49 | pyramid |
input_channels:1_num_classes:981_depth:29_arch:hourglass_base_filters:110_batch:10_input_size:102_act:softplus_dropout:0.170648409186261_dropout:False_batchnorm:False.out | 61 | [('conv2d', 11444400, 1100), ('Softplus', 11444400, 0), ('conv2d', 14045400, 133785), ('Softplus', 14045400, 0), ('conv2d', 17374680, 203072), ('Softplus', 17374680, 0), ('conv2d', 21328200, 308320), ('Softplus', 21328200, 0), ('conv2d', 26322120, 467038), ('Softplus', 26322120, 0), ('conv2d', 32460480, 710736), ('Soft... | Softplus | 360,667,136 | 148,861,286 | 10 | 23,237 | -1 | -1 | -1 | -1 | -1 | 29 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.4 | 41,275 | 567.86 | 41,843.26 | hourglass |
input_channels:1_num_classes:169_depth:2_arch:uniform_base_filters:32_batch:52_input_size:134_act:mish_dropout:0.4252372788964438_dropout:False_batchnorm:True.out | 9 | [('conv2d', 29878784, 320), ('batchnorm2d', 29878784, 64), ('Mish', 29878784, 0), ('conv2d', 29878784, 9248), ('batchnorm2d', 29878784, 64), ('Mish', 29878784, 0), ('adaptive_avg_pool2d', 1664, 0), ('linear', 8788, 5577), ('softmax', 8788, 0)] | Mish | 3,447,922 | 15,273 | 52 | 2,789 | -1 | -1 | -1 | -1 | -1 | 2 | 2 | 0 | 1 | 1 | SUCCESSFUL | 3.64 | 1,823.64 | 0.06 | 1,827.34 | uniform |
input_channels:3_num_classes:685_depth:27_arch:residual_base_filters:18_batch:44_input_size:122_act:tanh_dropout:0.27334897812173853_dropout:False_batchnorm:True.out | 67 | [('conv2d', 11788128, 72), ('batchnorm2d', 11788128, 36), ('conv2d', 11788128, 504), ('batchnorm2d', 11788128, 36), ('Tanh', 11788128, 0), ('conv2d', 11788128, 2934), ('batchnorm2d', 11788128, 36), ('Tanh', 11788128, 0), ('conv2d', 3438204, 399), ('batchnorm2d', 3438204, 42), ('conv2d', 3438204, 3423), ('batchnorm2d', ... | Tanh | 4,245,207 | 247,238 | 44 | 2,629 | -1 | -1 | -1 | -1 | -1 | 24 | 24 | 0 | 1 | 1 | SUCCESSFUL | 7.48 | 1,959.32 | 0.94 | 1,967.74 | residual |
input_channels:1_num_classes:895_depth:17_arch:bottleneck_base_filters:64_batch:56_input_size:16_act:gelu_dropout:0.24397616313556642_dropout:False_batchnorm:True.out | 54 | [('conv2d', 1835008, 1280), ('batchnorm2d', 1835008, 256), ('GELU', 1835008, 0), ('conv2d', 917504, 73792), ('batchnorm2d', 917504, 128), ('GELU', 917504, 0), ('conv2d', 1132544, 45583), ('batchnorm2d', 1132544, 158), ('GELU', 1132544, 0), ('conv2d', 1404928, 69776), ('batchnorm2d', 1404928, 196), ('GELU', 1404928, 0),... | GELU | 6,397,039 | 57,496,575 | 56 | 4,659 | 89.983871 | 0.857462 | 0.872545 | 0.265182 | 0.018315 | 17 | 17 | 0 | 1 | 1 | SUCCESSFUL | 0 | 3,643.92 | 219.33 | 3,863.25 | bottleneck |
input_channels:1_num_classes:387_depth:15_arch:residual_base_filters:68_batch:2_input_size:78_act:gelu_dropout:0.15243320688471612_dropout:False_batchnorm:True.out | 59 | [('conv2d', 827424, 136), ('batchnorm2d', 827424, 136), ('conv2d', 827424, 680), ('batchnorm2d', 827424, 136), ('GELU', 827424, 0), ('conv2d', 827424, 41684), ('batchnorm2d', 827424, 136), ('GELU', 827424, 0), ('conv2d', 258570, 5865), ('batchnorm2d', 258570, 170), ('conv2d', 258570, 52105), ('batchnorm2d', 258570, 170... | GELU | 6,994,191 | 3,201,860 | 2 | 1,857 | -1 | -1 | -1 | -1 | -1 | 21 | 21 | 0 | 1 | 1 | SUCCESSFUL | 0.04 | 146.74 | 12.21 | 158.99 | residual |
input_channels:1_num_classes:798_depth:13_arch:gradual_base_filters:113_batch:60_input_size:20_act:relu_dropout:0.24301664048682203_dropout:False_batchnorm:False.out | 29 | [('conv2d', 2712000, 1130), ('ReLU', 2712000, 0), ('conv2d', 3024000, 128268), ('ReLU', 3024000, 0), ('conv2d', 3384000, 160035), ('ReLU', 3384000, 0), ('conv2d', 3768000, 199390), ('ReLU', 3768000, 0), ('conv2d', 4224000, 248864), ('ReLU', 4224000, 0), ('conv2d', 4728000, 312245), ('ReLU', 4728000, 0), ('conv2d', 5280... | ReLU | 2,495,626 | 7,272,879 | 60 | 2,553 | 78.885246 | 0.767095 | 0.694364 | 0.237618 | 0.006736 | 13 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0 | 1,713 | 27.74 | 1,740.74 | gradual |
input_channels:1_num_classes:935_depth:13_arch:pyramid_base_filters:50_batch:32_input_size:158_act:prelu_dropout:0.25992523361899594_dropout:True_batchnorm:True.out | 55 | [('conv2d', 39942400, 500), ('batchnorm2d', 39942400, 100), ('PReLU', 39942400, 0), ('dropout', 39942400, 0), ('conv2d', 52723968, 29766), ('batchnorm2d', 52723968, 132), ('PReLU', 52723968, 0), ('dropout', 52723968, 0), ('conv2d', 70298624, 52360), ('batchnorm2d', 70298624, 176), ('PReLU', 70298624, 0), ('dropout', 70... | PReLU | 603,033,793 | 38,204,027 | 32 | 38,665 | 32 | 0.0964 | 0 | 0 | 0.003 | 13 | 13 | 13 | 1 | 1 | OOM_CRASH | 3.2 | 184,031.04 | 145.74 | 184,179.98 | pyramid |
input_channels:1_num_classes:939_depth:26_arch:gradual_base_filters:34_batch:58_input_size:32_act:leaky_relu_dropout:0.19926506805091357_dropout:True_batchnorm:False.out | 81 | [('conv2d', 2019328, 340), ('LeakyReLU', 2019328, 0), ('dropout', 2019328, 0), ('conv2d', 2138112, 11052), ('LeakyReLU', 2138112, 0), ('dropout', 2138112, 0), ('conv2d', 2316288, 12675), ('LeakyReLU', 2316288, 0), ('dropout', 2316288, 0), ('conv2d', 2553856, 15136), ('LeakyReLU', 2553856, 0), ('dropout', 2553856, 0), (... | LeakyReLU | 8,566,857 | 3,529,207 | 58 | 4,109 | 86.253968 | 0.852492 | 0.765396 | 0.315434 | 0.039926 | 26 | 0 | 26 | 1 | 1 | SUCCESSFUL | 0 | 5,054.12 | 13.46 | 5,067.58 | gradual |
input_channels:1_num_classes:300_depth:27_arch:hourglass_base_filters:122_batch:28_input_size:188_act:leaky_relu_dropout:0.35097002901905217_dropout:True_batchnorm:True.out | 111 | [('conv2d', 120735104, 1220), ('batchnorm2d', 120735104, 244), ('LeakyReLU', 120735104, 0), ('dropout', 120735104, 0), ('conv2d', 149434432, 165949), ('batchnorm2d', 149434432, 302), ('LeakyReLU', 149434432, 0), ('dropout', 149434432, 0), ('conv2d', 186050816, 255680), ('batchnorm2d', 186050816, 376), ('LeakyReLU', 186... | LeakyReLU | 2,342,035,538 | 142,278,957 | 28 | 37,835 | -1 | -1 | -1 | -1 | -1 | 27 | 27 | 27 | 1 | 1 | OOM_CRASH | 3.64 | 625,390.92 | 542.75 | 625,937.31 | hourglass |
input_channels:3_num_classes:923_depth:5_arch:dense_base_filters:51_batch:52_input_size:80_act:swish_dropout:0.12169761684777597_dropout:True_batchnorm:False.out | 15 | [('conv2d', 10649600, 896), ('SiLU', 10649600, 0), ('dropout', 10649600, 0), ('conv2d', 10649600, 10112), ('SiLU', 10649600, 0), ('dropout', 10649600, 0), ('conv2d', 10649600, 19328), ('SiLU', 10649600, 0), ('dropout', 10649600, 0), ('conv2d', 10649600, 28544), ('SiLU', 10649600, 0), ('dropout', 10649600, 0), ('adaptiv... | SiLU | 2,459,577 | 180,716 | 52 | 3,053 | 89.015625 | 0.685048 | 0.651792 | 0.366302 | 0.099407 | 4 | 0 | 4 | 1 | 1 | SUCCESSFUL | 3.64 | 1,633.32 | 0.69 | 1,637.65 | dense |
input_channels:1_num_classes:814_depth:6_arch:bottleneck_base_filters:105_batch:56_input_size:184_act:gelu_dropout:0.4043234507861373_dropout:True_batchnorm:True.out | 27 | [('conv2d', 398146560, 2100), ('batchnorm2d', 398146560, 420), ('GELU', 398146560, 0), ('dropout', 398146560, 0), ('conv2d', 199073280, 198555), ('batchnorm2d', 199073280, 210), ('GELU', 199073280, 0), ('dropout', 199073280, 0), ('conv2d', 360227840, 179740), ('batchnorm2d', 360227840, 380), ('GELU', 360227840, 0), ('d... | GELU | 352,511,430 | 10,174,557 | 56 | 38,047 | 21.8 | 0.0626 | 0.001 | 0 | 0.004333 | 6 | 6 | 6 | 1 | 1 | OOM_CRASH | 7.28 | 188,261.36 | 38.81 | 188,307.45 | bottleneck |
input_channels:3_num_classes:810_depth:4_arch:uniform_base_filters:59_batch:30_input_size:2_act:prelu_dropout:0.4178472899065261_dropout:False_batchnorm:False.out | 0 | [] | null | 0 | 0 | 30 | 0 | 48.5 | 0.298 | 0.618 | 0.123 | 0.017 | 0 | 0 | 0 | 0 | 0 | SUCCESSFUL | 0 | 0 | 0 | 0 | uniform |
input_channels:1_num_classes:76_depth:10_arch:residual_base_filters:93_batch:2_input_size:2_act:mish_dropout:0.3625645145273898_dropout:False_batchnorm:True.out | 0 | [] | null | 0 | 0 | 2 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SUCCESSFUL | 0 | 0 | 0 | 0 | residual |
input_channels:1_num_classes:956_depth:22_arch:uniform_base_filters:72_batch:30_input_size:150_act:prelu_dropout:0.16294183649715593_dropout:False_batchnorm:True.out | 69 | [('conv2d', 48600000, 720), ('batchnorm2d', 48600000, 144), ('PReLU', 48600000, 0), ('conv2d', 48600000, 46728), ('batchnorm2d', 48600000, 144), ('PReLU', 48600000, 0), ('conv2d', 48600000, 46728), ('batchnorm2d', 48600000, 144), ('PReLU', 48600000, 0), ('conv2d', 48600000, 46728), ('batchnorm2d', 48600000, 144), ('PRe... | PReLU | 106,921,984 | 1,054,964 | 30 | 16,061 | -1 | -1 | -1 | -1 | -1 | 22 | 22 | 0 | 1 | 1 | SUCCESSFUL | 2.7 | 32,629.8 | 4.02 | 32,636.52 | uniform |
input_channels:3_num_classes:435_depth:16_arch:residual_base_filters:120_batch:16_input_size:200_act:selu_dropout:0.2594242638726377_dropout:False_batchnorm:True.out | 67 | [('conv2d', 76800000, 480), ('batchnorm2d', 76800000, 240), ('conv2d', 76800000, 3360), ('batchnorm2d', 76800000, 240), ('SELU', 76800000, 0), ('conv2d', 76800000, 129720), ('batchnorm2d', 76800000, 240), ('SELU', 76800000, 0), ('conv2d', 22880000, 17303), ('batchnorm2d', 22880000, 286), ('conv2d', 22880000, 154583), (... | SELU | 76,212,365 | 9,498,236 | 16 | 8,843 | -1 | -1 | -1 | -1 | -1 | 24 | 24 | 0 | 1 | 1 | SUCCESSFUL | 7.36 | 12,792 | 36.23 | 12,835.59 | residual |
input_channels:1_num_classes:157_depth:4_arch:pyramid_base_filters:61_batch:32_input_size:102_act:tanh_dropout:0.22763112287659637_dropout:False_batchnorm:False.out | 11 | [('conv2d', 20308608, 610), ('Tanh', 20308608, 0), ('conv2d', 48607488, 80300), ('Tanh', 48607488, 0), ('conv2d', 117523584, 464195), ('Tanh', 117523584, 0), ('conv2d', 282988800, 2701300), ('Tanh', 282988800, 0), ('adaptive_avg_pool2d', 27200, 0), ('linear', 5024, 133607), ('softmax', 5024, 0)] | Tanh | 29,340,444 | 3,380,012 | 32 | 8,899 | -1 | -1 | -1 | -1 | -1 | 4 | 0 | 0 | 1 | 1 | SUCCESSFUL | 1.28 | 10,744.64 | 12.89 | 10,758.81 | pyramid |
input_channels:3_num_classes:730_depth:28_arch:dense_base_filters:25_batch:2_input_size:170_act:leaky_relu_dropout:0.2718365616716558_dropout:False_batchnorm:False.out | 61 | [('conv2d', 1849600, 896), ('LeakyReLU', 1849600, 0), ('conv2d', 1849600, 10112), ('LeakyReLU', 1849600, 0), ('conv2d', 1849600, 19328), ('LeakyReLU', 1849600, 0), ('conv2d', 1849600, 28544), ('LeakyReLU', 1849600, 0), ('conv2d', 3757000, 8580), ('ReLU', 3757000, 0), ('conv2d', 462400, 18752), ('LeakyReLU', 462400, 0),... | LeakyReLU | 22,255,293 | 3,669,944 | 2 | 2,857 | -1 | -1 | -1 | -1 | -1 | 29 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.66 | 920.8 | 14 | 935.46 | dense |
input_channels:1_num_classes:816_depth:21_arch:residual_base_filters:60_batch:22_input_size:158_act:selu_dropout:0.4546621145227434_dropout:True_batchnorm:True.out | 103 | [('conv2d', 32952480, 120), ('batchnorm2d', 32952480, 120), ('conv2d', 32952480, 600), ('batchnorm2d', 32952480, 120), ('SELU', 32952480, 0), ('dropout', 32952480, 0), ('conv2d', 32952480, 32460), ('batchnorm2d', 32952480, 120), ('SELU', 32952480, 0), ('dropout', 32952480, 0), ('conv2d', 9611140, 4270), ('batchnorm2d',... | SELU | 29,689,034 | 4,561,414 | 22 | 4,673 | 92.203125 | 0.887828 | 0.740571 | 0.354911 | 0.053309 | 30 | 30 | 20 | 1 | 1 | SUCCESSFUL | 2.2 | 6,478.12 | 17.4 | 6,497.72 | residual |
input_channels:1_num_classes:431_depth:21_arch:uniform_base_filters:65_batch:18_input_size:76_act:softplus_dropout:0.3133880221557329_dropout:True_batchnorm:True.out | 87 | [('conv2d', 6757920, 650), ('batchnorm2d', 6757920, 130), ('Softplus', 6757920, 0), ('dropout', 6757920, 0), ('conv2d', 6757920, 38090), ('batchnorm2d', 6757920, 130), ('Softplus', 6757920, 0), ('dropout', 6757920, 0), ('conv2d', 6757920, 38090), ('batchnorm2d', 6757920, 130), ('Softplus', 6757920, 0), ('dropout', 6757... | Softplus | 31,537,887 | 793,626 | 18 | 3,825 | 91.952381 | 0.909667 | 0.799 | 0.32387 | 0.032 | 21 | 21 | 21 | 1 | 1 | SUCCESSFUL | 0.36 | 5,413.86 | 3.03 | 5,417.25 | uniform |
input_channels:1_num_classes:100_depth:22_arch:residual_base_filters:81_batch:58_input_size:222_act:softplus_dropout:0.3868177844563978_dropout:False_batchnorm:True.out | 83 | [('conv2d', 231536232, 162), ('batchnorm2d', 231536232, 162), ('conv2d', 231536232, 810), ('batchnorm2d', 231536232, 162), ('Softplus', 231536232, 0), ('conv2d', 231536232, 59130), ('batchnorm2d', 231536232, 162), ('Softplus', 231536232, 0), ('conv2d', 66459474, 7626), ('batchnorm2d', 66459474, 186), ('conv2d', 6645947... | Softplus | 61,683,159 | 6,008,182 | 58 | 22,297 | -1 | -1 | -1 | -1 | -1 | 30 | 30 | 0 | 1 | 1 | SUCCESSFUL | 11.02 | 37,530.64 | 22.92 | 37,564.58 | residual |
input_channels:3_num_classes:85_depth:26_arch:hourglass_base_filters:76_batch:14_input_size:110_act:selu_dropout:0.2079112881861306_dropout:True_batchnorm:True.out | 107 | [('conv2d', 12874400, 2128), ('batchnorm2d', 12874400, 152), ('SELU', 12874400, 0), ('dropout', 12874400, 0), ('conv2d', 16431800, 66445), ('batchnorm2d', 16431800, 194), ('SELU', 16431800, 0), ('dropout', 16431800, 0), ('conv2d', 21344400, 110124), ('batchnorm2d', 21344400, 252), ('SELU', 21344400, 0), ('dropout', 213... | SELU | 661,241,046 | 111,230,300 | 14 | 34,345 | 95.53125 | 0.930609 | 0.967054 | 0.227464 | 0.013055 | 26 | 26 | 26 | 1 | 1 | SUCCESSFUL | 1.96 | 88,285.26 | 424.31 | 88,711.53 | hourglass |
input_channels:1_num_classes:387_depth:6_arch:dense_base_filters:100_batch:6_input_size:142_act:tanh_dropout:0.37042170333640667_dropout:True_batchnorm:True.out | 19 | [('conv2d', 3871488, 320), ('batchnorm2d', 3871488, 64), ('Tanh', 3871488, 0), ('dropout', 3871488, 0), ('conv2d', 3871488, 9536), ('batchnorm2d', 3871488, 64), ('Tanh', 3871488, 0), ('dropout', 3871488, 0), ('conv2d', 3871488, 18752), ('batchnorm2d', 3871488, 64), ('Tanh', 3871488, 0), ('dropout', 3871488, 0), ('conv2... | Tanh | 10,324,871 | 107,142 | 6 | 2,287 | 83.968254 | 0.800625 | 0.547309 | 0.256855 | 0.083158 | 4 | 4 | 4 | 1 | 1 | SUCCESSFUL | 0.48 | 709.86 | 0.41 | 710.75 | dense |
input_channels:1_num_classes:782_depth:7_arch:hourglass_base_filters:55_batch:60_input_size:28_act:swish_dropout:0.4864820138912168_dropout:False_batchnorm:True.out | 24 | [('conv2d', 2587200, 550), ('batchnorm2d', 2587200, 110), ('SiLU', 2587200, 0), ('conv2d', 8608320, 90768), ('batchnorm2d', 8608320, 366), ('SiLU', 8608320, 0), ('conv2d', 28835520, 1010224), ('batchnorm2d', 28835520, 1226), ('SiLU', 28835520, 0), ('conv2d', 38996160, 4574422), ('batchnorm2d', 38996160, 1658), ('SiLU',... | SiLU | 5,187,779 | 8,697,976 | 60 | 4,009 | -1 | -1 | -1 | -1 | -1 | 7 | 7 | 0 | 1 | 1 | SUCCESSFUL | 0 | 3,166.2 | 33.18 | 3,199.38 | hourglass |
input_channels:3_num_classes:633_depth:7_arch:uniform_base_filters:50_batch:34_input_size:182_act:leaky_relu_dropout:0.4001604314152226_dropout:True_batchnorm:True.out | 31 | [('conv2d', 56310800, 1400), ('batchnorm2d', 56310800, 100), ('LeakyReLU', 56310800, 0), ('dropout', 56310800, 0), ('conv2d', 56310800, 22550), ('batchnorm2d', 56310800, 100), ('LeakyReLU', 56310800, 0), ('dropout', 56310800, 0), ('conv2d', 56310800, 22550), ('batchnorm2d', 56310800, 100), ('LeakyReLU', 56310800, 0), (... | LeakyReLU | 46,374,916 | 169,683 | 34 | 8,179 | -1 | -1 | -1 | -1 | -1 | 7 | 7 | 7 | 1 | 1 | SUCCESSFUL | 12.92 | 15,036.84 | 0.65 | 15,050.41 | uniform |
input_channels:3_num_classes:707_depth:3_arch:uniform_base_filters:43_batch:24_input_size:76_act:selu_dropout:0.1304754404253033_dropout:False_batchnorm:False.out | 9 | [('conv2d', 5960832, 1204), ('SELU', 5960832, 0), ('conv2d', 5960832, 16684), ('SELU', 5960832, 0), ('conv2d', 5960832, 16684), ('SELU', 5960832, 0), ('adaptive_avg_pool2d', 1032, 0), ('linear', 16968, 31108), ('softmax', 16968, 0)] | SELU | 1,491,665 | 65,680 | 24 | 1,969 | -1 | -1 | -1 | -1 | -1 | 3 | 0 | 0 | 1 | 1 | SUCCESSFUL | 1.68 | 409.68 | 0.25 | 411.61 | uniform |
input_channels:1_num_classes:295_depth:4_arch:gradual_base_filters:64_batch:48_input_size:88_act:softplus_dropout:0.3028756298236742_dropout:False_batchnorm:True.out | 15 | [('conv2d', 23789568, 640), ('batchnorm2d', 23789568, 128), ('Softplus', 23789568, 0), ('conv2d', 36427776, 56546), ('batchnorm2d', 36427776, 196), ('Softplus', 36427776, 0), ('conv2d', 56500224, 134216), ('batchnorm2d', 56500224, 304), ('Softplus', 56500224, 0), ('conv2d', 86980608, 320346), ('batchnorm2d', 86980608, ... | Softplus | 12,731,960 | 582,169 | 48 | 5,553 | 86.75 | 0.844766 | 0.836145 | 0.371691 | 0.046709 | 4 | 4 | 0 | 1 | 1 | SUCCESSFUL | 1.44 | 6,216.48 | 2.22 | 6,220.14 | gradual |
input_channels:1_num_classes:739_depth:7_arch:uniform_base_filters:36_batch:14_input_size:18_act:softplus_dropout:0.3255848303782941_dropout:False_batchnorm:True.out | 24 | [('conv2d', 163296, 360), ('batchnorm2d', 163296, 72), ('Softplus', 163296, 0), ('conv2d', 163296, 11700), ('batchnorm2d', 163296, 72), ('Softplus', 163296, 0), ('conv2d', 163296, 11700), ('batchnorm2d', 163296, 72), ('Softplus', 163296, 0), ('conv2d', 163296, 11700), ('batchnorm2d', 163296, 72), ('Softplus', 163296, 0... | Softplus | 246,458 | 98,407 | 14 | 1,755 | 32.129032 | 0.308333 | 0.087218 | 0.012764 | 0.003509 | 7 | 7 | 0 | 1 | 1 | SUCCESSFUL | 0 | 35 | 0.38 | 35.38 | uniform |
input_channels:1_num_classes:380_depth:3_arch:pyramid_base_filters:48_batch:44_input_size:86_act:gelu_dropout:0.4726838666864841_dropout:False_batchnorm:False.out | 9 | [('conv2d', 15620352, 480), ('GELU', 15620352, 0), ('conv2d', 54345808, 72311), ('GELU', 54345808, 0), ('conv2d', 190698464, 881344), ('GELU', 190698464, 0), ('adaptive_avg_pool2d', 25784, 0), ('linear', 16720, 223060), ('softmax', 16720, 0)] | GELU | 11,849,738 | 1,177,195 | 44 | 5,741 | 88.246154 | 0.874469 | 0.908491 | 0.387164 | 0.038655 | 3 | 0 | 0 | 1 | 1 | SUCCESSFUL | 1.32 | 5,966.4 | 4.49 | 5,972.21 | pyramid |
input_channels:3_num_classes:104_depth:9_arch:pyramid_base_filters:40_batch:12_input_size:108_act:swish_dropout:0.4487676269184536_dropout:True_batchnorm:False.out | 30 | [('conv2d', 5598720, 1120), ('SiLU', 5598720, 0), ('dropout', 5598720, 0), ('conv2d', 8538048, 22021), ('SiLU', 8538048, 0), ('dropout', 8538048, 0), ('conv2d', 13296960, 52250), ('SiLU', 13296960, 0), ('dropout', 13296960, 0), ('conv2d', 20715264, 126688), ('SiLU', 20715264, 0), ('dropout', 20715264, 0), ('conv2d', 32... | SiLU | 127,967,274 | 17,547,546 | 12 | 8,687 | -1 | -1 | -1 | -1 | -1 | 9 | 0 | 9 | 1 | 1 | SUCCESSFUL | 1.56 | 15,621 | 66.94 | 15,689.5 | pyramid |
input_channels:1_num_classes:354_depth:6_arch:gradual_base_filters:122_batch:6_input_size:60_act:elu_dropout:0.16215820802589556_dropout:False_batchnorm:False.out | 15 | [('conv2d', 2635200, 1220), ('ELU', 2635200, 0), ('conv2d', 3326400, 169246), ('ELU', 3326400, 0), ('conv2d', 4212000, 270465), ('ELU', 4212000, 0), ('conv2d', 5313600, 431976), ('ELU', 5313600, 0), ('conv2d', 6739200, 691080), ('ELU', 6739200, 0), ('conv2d', 8532000, 1109555), ('ELU', 8532000, 0), ('adaptive_avg_pool2... | ELU | 10,253,903 | 2,813,726 | 6 | 2,151 | 86.84127 | 0.866762 | 0.758263 | 0.261614 | 0.015103 | 6 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.06 | 704.04 | 10.73 | 714.83 | gradual |
input_channels:3_num_classes:829_depth:15_arch:uniform_base_filters:122_batch:58_input_size:86_act:gelu_dropout:0.48577245512621836_dropout:True_batchnorm:True.out | 63 | [('conv2d', 52334096, 3416), ('batchnorm2d', 52334096, 244), ('GELU', 52334096, 0), ('dropout', 52334096, 0), ('conv2d', 52334096, 134078), ('batchnorm2d', 52334096, 244), ('GELU', 52334096, 0), ('dropout', 52334096, 0), ('conv2d', 52334096, 134078), ('batchnorm2d', 52334096, 244), ('GELU', 52334096, 0), ('dropout', 52... | GELU | 54,140,500 | 1,986,135 | 58 | 13,057 | -1 | -1 | -1 | -1 | -1 | 15 | 15 | 15 | 1 | 1 | SUCCESSFUL | 4.64 | 29,946.56 | 7.58 | 29,958.78 | uniform |
input_channels:1_num_classes:479_depth:18_arch:residual_base_filters:89_batch:50_input_size:202_act:gelu_dropout:0.10865719578382925_dropout:True_batchnorm:False.out | 66 | [('conv2d', 181577800, 178), ('conv2d', 181577800, 890), ('GELU', 181577800, 0), ('dropout', 181577800, 0), ('conv2d', 181577800, 71378), ('GELU', 181577800, 0), ('dropout', 181577800, 0), ('conv2d', 53555250, 9450), ('conv2d', 53555250, 84210), ('GELU', 53555250, 0), ('dropout', 53555250, 0), ('conv2d', 53555250, 9933... | GELU | 50,869,098 | 7,363,263 | 50 | 14,951 | -1 | -1 | -1 | -1 | -1 | 27 | 0 | 18 | 1 | 1 | SUCCESSFUL | 8 | 30,493.5 | 28.09 | 30,529.59 | residual |
input_channels:3_num_classes:959_depth:9_arch:bottleneck_base_filters:77_batch:18_input_size:128_act:relu_dropout:0.4963248953174547_dropout:False_batchnorm:True.out | 30 | [('conv2d', 45416448, 4312), ('batchnorm2d', 45416448, 308), ('ReLU', 45416448, 0), ('conv2d', 22708224, 106799), ('batchnorm2d', 22708224, 154), ('ReLU', 22708224, 0), ('conv2d', 34209792, 80504), ('batchnorm2d', 34209792, 232), ('ReLU', 34209792, 0), ('conv2d', 51314688, 181830), ('batchnorm2d', 51314688, 348), ('ReL... | ReLU | 198,528,205 | 21,046,805 | 18 | 17,879 | -1 | -1 | -1 | -1 | -1 | 9 | 9 | 0 | 1 | 1 | SUCCESSFUL | 3.42 | 36,351.54 | 80.29 | 36,435.25 | bottleneck |
input_channels:3_num_classes:741_depth:27_arch:hourglass_base_filters:74_batch:50_input_size:166_act:leaky_relu_dropout:0.19747492441512948_dropout:True_batchnorm:False.out | 84 | [('conv2d', 101957200, 2072), ('LeakyReLU', 101957200, 0), ('dropout', 101957200, 0), ('conv2d', 130891000, 63365), ('LeakyReLU', 130891000, 0), ('dropout', 130891000, 0), ('conv2d', 169469400, 105288), ('LeakyReLU', 169469400, 0), ('dropout', 169469400, 0), ('conv2d', 219070200, 176172), ('LeakyReLU', 219070200, 0), (... | LeakyReLU | 1,169,505,752 | 115,743,545 | 50 | 37,577 | 21.6 | 0.124714 | 0.509 | 0.153 | 0.0055 | 27 | 0 | 27 | 1 | 1 | OOM_CRASH | 16 | 594,841 | 441.53 | 595,298.53 | hourglass |
input_channels:3_num_classes:975_depth:22_arch:residual_base_filters:93_batch:32_input_size:182_act:softplus_dropout:0.28879752477960674_dropout:False_batchnorm:True.out | 83 | [('conv2d', 98577024, 372), ('batchnorm2d', 98577024, 186), ('conv2d', 98577024, 2604), ('batchnorm2d', 98577024, 186), ('Softplus', 98577024, 0), ('conv2d', 98577024, 77934), ('batchnorm2d', 98577024, 186), ('Softplus', 98577024, 0), ('conv2d', 28354144, 10058), ('batchnorm2d', 28354144, 214), ('conv2d', 28354144, 896... | Softplus | 47,445,103 | 7,604,174 | 32 | 10,513 | -1 | -1 | -1 | -1 | -1 | 30 | 30 | 0 | 1 | 1 | SUCCESSFUL | 12.16 | 15,926.72 | 29.01 | 15,967.89 | residual |
input_channels:1_num_classes:844_depth:7_arch:uniform_base_filters:62_batch:8_input_size:52_act:elu_dropout:0.3205147600384122_dropout:True_batchnorm:True.out | 31 | [('conv2d', 1341184, 620), ('batchnorm2d', 1341184, 124), ('ELU', 1341184, 0), ('dropout', 1341184, 0), ('conv2d', 1341184, 34658), ('batchnorm2d', 1341184, 124), ('ELU', 1341184, 0), ('dropout', 1341184, 0), ('conv2d', 1341184, 34658), ('batchnorm2d', 1341184, 124), ('ELU', 1341184, 0), ('dropout', 1341184, 0), ('conv... | ELU | 4,695,894 | 262,608 | 8 | 1,889 | 49.761905 | 0.485453 | 0.272167 | 0.113983 | 0.016567 | 7 | 7 | 7 | 1 | 1 | SUCCESSFUL | 0.08 | 358.24 | 1 | 359.32 | uniform |
input_channels:3_num_classes:791_depth:4_arch:dense_base_filters:111_batch:54_input_size:162_act:tanh_dropout:0.3646925180398911_dropout:True_batchnorm:True.out | 19 | [('conv2d', 45349632, 896), ('batchnorm2d', 45349632, 64), ('Tanh', 45349632, 0), ('dropout', 45349632, 0), ('conv2d', 45349632, 10112), ('batchnorm2d', 45349632, 64), ('Tanh', 45349632, 0), ('dropout', 45349632, 0), ('conv2d', 45349632, 19328), ('batchnorm2d', 45349632, 64), ('Tanh', 45349632, 0), ('dropout', 45349632... | Tanh | 13,438,641 | 163,548 | 54 | 7,915 | -1 | -1 | -1 | -1 | -1 | 4 | 4 | 4 | 1 | 1 | SUCCESSFUL | 16.2 | 8,337.06 | 0.62 | 8,353.88 | dense |
input_channels:3_num_classes:858_depth:2_arch:gradual_base_filters:50_batch:46_input_size:46_act:swish_dropout:0.22234240526292215_dropout:False_batchnorm:False.out | 7 | [('conv2d', 4866800, 1400), ('SiLU', 4866800, 0), ('conv2d', 12264336, 56826), ('SiLU', 12264336, 0), ('adaptive_avg_pool2d', 5796, 0), ('linear', 39468, 108966), ('softmax', 39468, 0)] | SiLU | 746,674 | 167,192 | 46 | 1,983 | 36.707692 | 0.359422 | 0.305364 | 0.168055 | 0.021018 | 2 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.92 | 392.84 | 0.64 | 394.4 | gradual |
input_channels:1_num_classes:219_depth:4_arch:residual_base_filters:74_batch:56_input_size:54_act:leaky_relu_dropout:0.12777064848040343_dropout:False_batchnorm:True.out | 19 | [('conv2d', 12083904, 148), ('batchnorm2d', 12083904, 148), ('conv2d', 12083904, 740), ('batchnorm2d', 12083904, 148), ('LeakyReLU', 12083904, 0), ('conv2d', 12083904, 49358), ('batchnorm2d', 12083904, 148), ('LeakyReLU', 12083904, 0), ('conv2d', 6899256, 12675), ('batchnorm2d', 6899256, 338), ('conv2d', 6899256, 11272... | LeakyReLU | 2,712,487 | 471,550 | 56 | 2,803 | 75.242424 | 0.661738 | 0.586678 | 0.270237 | 0.026017 | 6 | 6 | 0 | 1 | 1 | SUCCESSFUL | 0.56 | 1,593.2 | 1.8 | 1,595.56 | residual |
input_channels:1_num_classes:296_depth:8_arch:hourglass_base_filters:90_batch:26_input_size:140_act:elu_dropout:0.2904709005233884_dropout:True_batchnorm:False.out | 27 | [('conv2d', 45864000, 900), ('ELU', 45864000, 0), ('dropout', 45864000, 0), ('conv2d', 99881600, 158956), ('ELU', 99881600, 0), ('dropout', 99881600, 0), ('conv2d', 218618400, 757185), ('ELU', 218618400, 0), ('dropout', 218618400, 0), ('conv2d', 477495200, 3618694), ('ELU', 477495200, 0), ('dropout', 477495200, 0), ('c... | ELU | 194,275,882 | 16,999,317 | 26 | 22,767 | 92.676923 | 0.946453 | 0.970164 | 0.247527 | 0.007836 | 8 | 0 | 8 | 1 | 1 | SUCCESSFUL | 1.82 | 51,383.02 | 64.85 | 51,449.69 | hourglass |
input_channels:3_num_classes:278_depth:19_arch:hourglass_base_filters:52_batch:44_input_size:18_act:relu_dropout:0.4056898047606978_dropout:True_batchnorm:True.out | 79 | [('conv2d', 741312, 1456), ('batchnorm2d', 741312, 104), ('ReLU', 741312, 0), ('dropout', 741312, 0), ('conv2d', 1111968, 36582), ('batchnorm2d', 1111968, 156), ('ReLU', 1111968, 0), ('dropout', 1111968, 0), ('conv2d', 1667952, 82251), ('batchnorm2d', 1667952, 234), ('ReLU', 1667952, 0), ('dropout', 1667952, 0), ('conv... | ReLU | 10,951,808 | 61,284,148 | 44 | 4,629 | -1 | -1 | -1 | -1 | -1 | 19 | 19 | 19 | 1 | 1 | SUCCESSFUL | 0 | 4,595.36 | 233.78 | 4,829.14 | hourglass |
input_channels:3_num_classes:128_depth:25_arch:gradual_base_filters:51_batch:60_input_size:108_act:leaky_relu_dropout:0.21947271102023425_dropout:False_batchnorm:False.out | 53 | [('conv2d', 35691840, 1428), ('LeakyReLU', 35691840, 0), ('conv2d', 37791360, 24840), ('LeakyReLU', 37791360, 0), ('conv2d', 41290560, 28733), ('LeakyReLU', 41290560, 0), ('conv2d', 44089920, 33516), ('LeakyReLU', 44089920, 0), ('conv2d', 47589120, 38624), ('LeakyReLU', 47589120, 0), ('conv2d', 51088320, 44749), ('Leak... | LeakyReLU | 82,535,020 | 5,336,091 | 60 | 32,503 | -1 | -1 | -1 | -1 | -1 | 25 | 0 | 0 | 1 | 1 | SUCCESSFUL | 7.8 | 56,672.4 | 20.36 | 56,700.56 | gradual |
input_channels:1_num_classes:501_depth:15_arch:pyramid_base_filters:16_batch:52_input_size:16_act:elu_dropout:0.21775297764015017_dropout:False_batchnorm:True.out | 48 | [('conv2d', 212992, 160), ('batchnorm2d', 212992, 32), ('ELU', 212992, 0), ('conv2d', 292864, 3190), ('batchnorm2d', 292864, 44), ('ELU', 292864, 0), ('conv2d', 399360, 5970), ('batchnorm2d', 399360, 60), ('ELU', 399360, 0), ('conv2d', 559104, 11382), ('batchnorm2d', 559104, 84), ('ELU', 559104, 0), ('conv2d', 772096, ... | ELU | 4,084,404 | 30,756,225 | 52 | 3,623 | -1 | -1 | -1 | -1 | -1 | 15 | 15 | 0 | 1 | 1 | SUCCESSFUL | 0 | 2,160.08 | 117.33 | 2,277.41 | pyramid |
input_channels:1_num_classes:93_depth:11_arch:hourglass_base_filters:90_batch:44_input_size:68_act:mish_dropout:0.372485838650226_dropout:True_batchnorm:True.out | 47 | [('conv2d', 18311040, 900), ('batchnorm2d', 18311040, 180), ('Mish', 18311040, 0), ('dropout', 18311040, 0), ('conv2d', 34180608, 136248), ('batchnorm2d', 34180608, 336), ('Mish', 34180608, 0), ('dropout', 34180608, 0), ('conv2d', 63885184, 475082), ('batchnorm2d', 63885184, 628), ('Mish', 63885184, 0), ('dropout', 638... | Mish | 94,644,308 | 32,209,056 | 44 | 22,021 | -1 | -1 | -1 | -1 | -1 | 11 | 11 | 11 | 1 | 1 | SUCCESSFUL | 0.88 | 39,714.4 | 122.87 | 39,838.15 | hourglass |
input_channels:3_num_classes:378_depth:16_arch:hourglass_base_filters:16_batch:52_input_size:88_act:tanh_dropout:0.3016367621726166_dropout:False_batchnorm:True.out | 51 | [('conv2d', 6443008, 448), ('batchnorm2d', 6443008, 32), ('Tanh', 6443008, 0), ('conv2d', 11677952, 4205), ('batchnorm2d', 11677952, 58), ('Tanh', 11677952, 0), ('conv2d', 21342464, 13886), ('batchnorm2d', 21342464, 106), ('Tanh', 21342464, 0), ('conv2d', 39463424, 46844), ('batchnorm2d', 39463424, 196), ('Tanh', 39463... | Tanh | 113,001,220 | 28,593,714 | 52 | 29,639 | -1 | -1 | -1 | -1 | -1 | 16 | 16 | 0 | 1 | 1 | SUCCESSFUL | 4.68 | 59,774.52 | 109.08 | 59,888.28 | hourglass |
input_channels:3_num_classes:782_depth:8_arch:pyramid_base_filters:47_batch:48_input_size:168_act:elu_dropout:0.12781842986085043_dropout:False_batchnorm:False.out | 19 | [('conv2d', 63673344, 1316), ('ELU', 63673344, 0), ('conv2d', 101606400, 31800), ('ELU', 101606400, 0), ('conv2d', 162570240, 81120), ('ELU', 162570240, 0), ('conv2d', 261467136, 208633), ('ELU', 261467136, 0), ('conv2d', 419973120, 538780), ('ELU', 419973120, 0), ('conv2d', 673311744, 1387127), ('ELU', 673311744, 0), ... | ELU | 187,184,409 | 15,975,148 | 48 | 35,789 | 31.833333 | 0.144 | 0 | 0 | 0.228 | 8 | 0 | 0 | 1 | 1 | OOM_CRASH | 15.36 | 102,822.72 | 60.94 | 102,899.02 | pyramid |
input_channels:1_num_classes:673_depth:14_arch:residual_base_filters:55_batch:56_input_size:96_act:relu_dropout:0.1329243036031135_dropout:False_batchnorm:True.out | 59 | [('conv2d', 28385280, 110), ('batchnorm2d', 28385280, 110), ('conv2d', 28385280, 550), ('batchnorm2d', 28385280, 110), ('ReLU', 28385280, 0), ('conv2d', 28385280, 27280), ('batchnorm2d', 28385280, 110), ('ReLU', 28385280, 0), ('conv2d', 9160704, 3976), ('batchnorm2d', 9160704, 142), ('conv2d', 9160704, 35216), ('batchn... | ReLU | 8,847,813 | 2,860,582 | 56 | 4,429 | -1 | -1 | -1 | -1 | -1 | 21 | 21 | 0 | 1 | 1 | SUCCESSFUL | 2.24 | 5,197.36 | 10.91 | 5,210.51 | residual |
input_channels:3_num_classes:325_depth:2_arch:residual_base_filters:102_batch:52_input_size:66_act:relu_dropout:0.39141141159673887_dropout:False_batchnorm:True.out | 11 | [('conv2d', 23104224, 408), ('batchnorm2d', 23104224, 204), ('conv2d', 23104224, 2856), ('batchnorm2d', 23104224, 204), ('ReLU', 23104224, 0), ('conv2d', 23104224, 93738), ('batchnorm2d', 23104224, 204), ('ReLU', 23104224, 0), ('adaptive_avg_pool2d', 5304, 0), ('linear', 16900, 33475), ('softmax', 16900, 0)] | ReLU | 3,555,248 | 131,089 | 52 | 2,763 | 64.634921 | 0.6488 | 0.649228 | 0.312579 | 0.035322 | 3 | 3 | 0 | 1 | 1 | SUCCESSFUL | 2.6 | 1,939.08 | 0.5 | 1,942.18 | residual |
input_channels:3_num_classes:347_depth:17_arch:hourglass_base_filters:26_batch:24_input_size:138_act:relu_dropout:0.283622497424984_dropout:False_batchnorm:True.out | 54 | [('conv2d', 11883456, 728), ('batchnorm2d', 11883456, 52), ('ReLU', 11883456, 0), ('conv2d', 20110464, 10340), ('batchnorm2d', 20110464, 88), ('ReLU', 20110464, 0), ('conv2d', 35193312, 30569), ('batchnorm2d', 35193312, 154), ('ReLU', 35193312, 0), ('conv2d', 60788448, 92302), ('batchnorm2d', 60788448, 266), ('ReLU', 6... | ReLU | 343,706,832 | 38,659,917 | 24 | 36,921 | 94.242424 | 0.938246 | 0.955673 | 0.221255 | 0.007055 | 17 | 17 | 0 | 1 | 1 | SUCCESSFUL | 5.28 | 83,912.64 | 147.48 | 84,065.4 | hourglass |
input_channels:3_num_classes:342_depth:21_arch:uniform_base_filters:72_batch:54_input_size:44_act:tanh_dropout:0.3590667838150622_dropout:True_batchnorm:True.out | 87 | [('conv2d', 7527168, 2016), ('batchnorm2d', 7527168, 144), ('Tanh', 7527168, 0), ('dropout', 7527168, 0), ('conv2d', 7527168, 46728), ('batchnorm2d', 7527168, 144), ('Tanh', 7527168, 0), ('dropout', 7527168, 0), ('conv2d', 7527168, 46728), ('batchnorm2d', 7527168, 144), ('Tanh', 7527168, 0), ('dropout', 7527168, 0), ('... | Tanh | 11,709,684 | 964,566 | 54 | 3,969 | -1 | -1 | -1 | -1 | -1 | 21 | 21 | 21 | 1 | 1 | SUCCESSFUL | 1.08 | 6,030.18 | 3.68 | 6,034.94 | uniform |
input_channels:1_num_classes:154_depth:2_arch:dense_base_filters:86_batch:60_input_size:184_act:tanh_dropout:0.15712160010655096_dropout:False_batchnorm:True.out | 0 | [] | null | 0 | 0 | 60 | 1,471 | 6.758065 | 0.017571 | 0.001327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SUCCESSFUL | 0 | 0 | 0 | 0 | dense |
input_channels:3_num_classes:966_depth:20_arch:bottleneck_base_filters:37_batch:50_input_size:206_act:prelu_dropout:0.30530435953353746_dropout:False_batchnorm:False.out | 43 | [('conv2d', 157013200, 2072), ('PReLU', 157013200, 0), ('conv2d', 78506600, 24679), ('PReLU', 78506600, 0), ('conv2d', 95481000, 15030), ('PReLU', 95481000, 0), ('conv2d', 118820800, 22736), ('PReLU', 118820800, 0), ('conv2d', 146404200, 34845), ('PReLU', 146404200, 0), ('conv2d', 182474800, 53492), ('PReLU', 182474800... | PReLU | 731,090,998 | 59,664,691 | 50 | 38,045 | -1 | -1 | -1 | -1 | -1 | 20 | 0 | 0 | 1 | 1 | OOM_CRASH | 24.5 | 418,333 | 227.6 | 418,585.1 | bottleneck |
input_channels:1_num_classes:840_depth:6_arch:pyramid_base_filters:74_batch:22_input_size:36_act:selu_dropout:0.3929660404241916_dropout:False_batchnorm:False.out | 15 | [('conv2d', 2109888, 740), ('SELU', 2109888, 0), ('conv2d', 3649536, 85376), ('SELU', 3649536, 0), ('conv2d', 6358176, 257119), ('SELU', 6358176, 0), ('conv2d', 11091168, 781112), ('SELU', 11091168, 0), ('conv2d', 19302624, 2370854), ('SELU', 19302624, 0), ('conv2d', 33558624, 7172638), ('SELU', 33558624, 0), ('adaptiv... | SELU | 6,918,313 | 11,657,359 | 22 | 3,041 | 90.453125 | 0.890328 | 0.851509 | 0.254509 | 0.012 | 6 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0 | 1,741.52 | 44.47 | 1,785.99 | pyramid |
input_channels:1_num_classes:542_depth:11_arch:pyramid_base_filters:40_batch:26_input_size:82_act:swish_dropout:0.24009389316519958_dropout:True_batchnorm:False.out | 36 | [('conv2d', 6992960, 400), ('SiLU', 6992960, 0), ('dropout', 6992960, 0), ('conv2d', 9964968, 20577), ('SiLU', 9964968, 0), ('dropout', 9964968, 0), ('conv2d', 14160744, 41634), ('SiLU', 14160744, 0), ('dropout', 14160744, 0), ('conv2d', 20454408, 85410), ('SiLU', 20454408, 0), ('dropout', 20454408, 0), ('conv2d', 2919... | SiLU | 94,084,723 | 25,983,265 | 26 | 12,841 | 93.96875 | 0.947222 | 0.970673 | 0.240782 | 0.011119 | 11 | 0 | 11 | 1 | 1 | SUCCESSFUL | 0.78 | 24,883.82 | 99.12 | 24,983.72 | pyramid |
input_channels:1_num_classes:524_depth:25_arch:dense_base_filters:126_batch:60_input_size:122_act:gelu_dropout:0.24097420643746445_dropout:True_batchnorm:True.out | 102 | [('conv2d', 28577280, 320), ('batchnorm2d', 28577280, 64), ('GELU', 28577280, 0), ('dropout', 28577280, 0), ('conv2d', 28577280, 9536), ('batchnorm2d', 28577280, 64), ('GELU', 28577280, 0), ('dropout', 28577280, 0), ('conv2d', 28577280, 18752), ('batchnorm2d', 28577280, 64), ('GELU', 28577280, 0), ('dropout', 28577280,... | GELU | 20,005,848 | 2,556,300 | 60 | 16,055 | -1 | -1 | -1 | -1 | -1 | 25 | 25 | 24 | 1 | 1 | SUCCESSFUL | 3.6 | 16,468.8 | 9.75 | 16,482.15 | dense |
input_channels:3_num_classes:220_depth:10_arch:gradual_base_filters:86_batch:54_input_size:22_act:elu_dropout:0.37419768011604204_dropout:True_batchnorm:False.out | 33 | [('conv2d', 2247696, 2408), ('ELU', 2247696, 0), ('dropout', 2247696, 0), ('conv2d', 2613600, 77500), ('ELU', 2613600, 0), ('dropout', 2613600, 0), ('conv2d', 3084048, 106318), ('ELU', 3084048, 0), ('dropout', 3084048, 0), ('conv2d', 3606768, 146694), ('ELU', 3606768, 0), ('dropout', 3606768, 0), ('conv2d', 4234032, 20... | ELU | 2,814,774 | 3,483,674 | 54 | 2,463 | -1 | -1 | -1 | -1 | -1 | 10 | 0 | 10 | 1 | 1 | SUCCESSFUL | 0.54 | 1,546.02 | 13.29 | 1,559.85 | gradual |
input_channels:3_num_classes:208_depth:26_arch:hourglass_base_filters:81_batch:62_input_size:160_act:swish_dropout:0.2875263141183326_dropout:True_batchnorm:False.out | 81 | [('conv2d', 128563200, 2268), ('SiLU', 128563200, 0), ('dropout', 128563200, 0), ('conv2d', 163481600, 75190), ('SiLU', 163481600, 0), ('dropout', 163481600, 0), ('conv2d', 211097600, 123424), ('SiLU', 211097600, 0), ('dropout', 211097600, 0), ('conv2d', 269824000, 203660), ('SiLU', 269824000, 0), ('dropout', 269824000... | SiLU | 1,070,131,697 | 114,109,662 | 62 | 39,875 | -1 | -1 | -1 | -1 | -1 | 26 | 0 | 26 | 1 | 1 | OOM_CRASH | 17.98 | 674,928.28 | 435.29 | 675,381.55 | hourglass |
input_channels:1_num_classes:190_depth:21_arch:bottleneck_base_filters:110_batch:18_input_size:198_act:leaky_relu_dropout:0.4956058781321332_dropout:False_batchnorm:True.out | 66 | [('conv2d', 155247840, 2200), ('batchnorm2d', 155247840, 440), ('LeakyReLU', 155247840, 0), ('conv2d', 77623920, 217910), ('batchnorm2d', 77623920, 220), ('LeakyReLU', 77623920, 0), ('conv2d', 89620344, 125857), ('batchnorm2d', 89620344, 254), ('LeakyReLU', 89620344, 0), ('conv2d', 103733784, 168168), ('batchnorm2d', 1... | LeakyReLU | 1,472,504,389 | 96,120,522 | 18 | 38,837 | 29.25 | 0.1158 | 0 | 0 | 0 | 21 | 21 | 0 | 1 | 1 | OOM_CRASH | 2.7 | 269,623.44 | 366.67 | 269,992.81 | bottleneck |
input_channels:3_num_classes:440_depth:2_arch:gradual_base_filters:70_batch:2_input_size:198_act:leaky_relu_dropout:0.2828152190994582_dropout:False_batchnorm:False.out | 7 | [('conv2d', 5488560, 1960), ('LeakyReLU', 5488560, 0), ('conv2d', 12702096, 102222), ('LeakyReLU', 12702096, 0), ('adaptive_avg_pool2d', 324, 0), ('linear', 880, 71720), ('softmax', 880, 0)] | LeakyReLU | 18,191,698 | 175,902 | 2 | 2,075 | 80.492308 | 0.783746 | 0.683017 | 0.314153 | 0.027672 | 2 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.9 | 416.36 | 0.67 | 417.93 | gradual |
input_channels:1_num_classes:696_depth:21_arch:residual_base_filters:46_batch:60_input_size:176_act:softplus_dropout:0.44759412960394884_dropout:True_batchnorm:False.out | 73 | [('conv2d', 85493760, 92), ('conv2d', 85493760, 460), ('Softplus', 85493760, 0), ('dropout', 85493760, 0), ('conv2d', 85493760, 19090), ('Softplus', 85493760, 0), ('dropout', 85493760, 0), ('conv2d', 25555200, 2585), ('conv2d', 25555200, 22825), ('Softplus', 25555200, 0), ('dropout', 25555200, 0), ('conv2d', 25555200, ... | Softplus | 20,085,368 | 3,187,994 | 60 | 7,393 | -1 | -1 | -1 | -1 | -1 | 30 | 0 | 20 | 1 | 1 | SUCCESSFUL | 7.2 | 14,448 | 12.16 | 14,467.36 | residual |
input_channels:1_num_classes:117_depth:6_arch:uniform_base_filters:90_batch:42_input_size:76_act:softplus_dropout:0.40557608456188843_dropout:False_batchnorm:False.out | 15 | [('conv2d', 21833280, 900), ('Softplus', 21833280, 0), ('conv2d', 21833280, 72990), ('Softplus', 21833280, 0), ('conv2d', 21833280, 72990), ('Softplus', 21833280, 0), ('conv2d', 21833280, 72990), ('Softplus', 21833280, 0), ('conv2d', 21833280, 72990), ('Softplus', 21833280, 0), ('conv2d', 21833280, 72990), ('Softplus',... | Softplus | 6,238,404 | 376,497 | 42 | 3,209 | -1 | -1 | -1 | -1 | -1 | 6 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.84 | 2,998.38 | 1.44 | 3,000.66 | uniform |
input_channels:3_num_classes:62_depth:27_arch:hourglass_base_filters:110_batch:30_input_size:152_act:gelu_dropout:0.19672866732903366_dropout:True_batchnorm:True.out | 111 | [('conv2d', 76243200, 3080), ('batchnorm2d', 76243200, 220), ('GELU', 76243200, 0), ('dropout', 76243200, 0), ('conv2d', 94957440, 135767), ('batchnorm2d', 94957440, 274), ('GELU', 94957440, 0), ('dropout', 94957440, 0), ('conv2d', 119216640, 212248), ('batchnorm2d', 119216640, 344), ('GELU', 119216640, 0), ('dropout',... | GELU | 1,479,950,058 | 136,011,597 | 30 | 37,861 | -1 | -1 | -1 | -1 | -1 | 27 | 27 | 27 | 1 | 1 | OOM_CRASH | 7.8 | 423,417 | 518.84 | 423,943.64 | hourglass |
input_channels:1_num_classes:90_depth:26_arch:dense_base_filters:61_batch:38_input_size:20_act:prelu_dropout:0.1095213924752788_dropout:True_batchnorm:True.out | 102 | [('conv2d', 486400, 320), ('batchnorm2d', 486400, 64), ('PReLU', 486400, 0), ('dropout', 486400, 0), ('conv2d', 486400, 9536), ('batchnorm2d', 486400, 64), ('PReLU', 486400, 0), ('dropout', 486400, 0), ('conv2d', 486400, 18752), ('batchnorm2d', 486400, 64), ('PReLU', 486400, 0), ('dropout', 486400, 0), ('conv2d', 48640... | PReLU | 538,484 | 2,250,330 | 38 | 2,043 | 39.369231 | 0.396154 | 0.201357 | 0.067309 | 0.006286 | 25 | 25 | 24 | 1 | 1 | SUCCESSFUL | 0 | 280.44 | 8.58 | 289.02 | dense |
input_channels:3_num_classes:919_depth:22_arch:pyramid_base_filters:28_batch:34_input_size:56_act:elu_dropout:0.4834553597708333_dropout:True_batchnorm:True.out | 91 | [('conv2d', 2985472, 784), ('batchnorm2d', 2985472, 56), ('ELU', 2985472, 0), ('dropout', 2985472, 0), ('conv2d', 3625216, 8602), ('batchnorm2d', 3625216, 68), ('ELU', 3625216, 0), ('dropout', 3625216, 0), ('conv2d', 4371584, 12587), ('batchnorm2d', 4371584, 82), ('ELU', 4371584, 0), ('dropout', 4371584, 0), ('conv2d',... | ELU | 117,515,714 | 66,560,318 | 34 | 20,121 | 95.571429 | 0.925781 | 0.959948 | 0.231207 | 0.014692 | 22 | 22 | 22 | 1 | 1 | SUCCESSFUL | 1.36 | 38,104.14 | 253.91 | 38,359.41 | pyramid |
input_channels:1_num_classes:421_depth:22_arch:gradual_base_filters:71_batch:12_input_size:28_act:elu_dropout:0.4972116800368136_dropout:False_batchnorm:False.out | 47 | [('conv2d', 667968, 710), ('ELU', 667968, 0), ('conv2d', 715008, 48640), ('ELU', 715008, 0), ('conv2d', 771456, 56170), ('ELU', 771456, 0), ('conv2d', 837312, 65771), ('ELU', 837312, 0), ('conv2d', 903168, 76992), ('ELU', 903168, 0), ('conv2d', 978432, 89960), ('ELU', 978432, 0), ('conv2d', 1053696, 104944), ('ELU', 10... | ELU | 6,114,827 | 7,171,304 | 12 | 2,179 | 85.793651 | 0.854952 | 0.63781 | 0.195638 | 0.023667 | 22 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0 | 839.64 | 27.36 | 867 | gradual |
input_channels:3_num_classes:791_depth:10_arch:hourglass_base_filters:66_batch:44_input_size:96_act:elu_dropout:0.26834250170579155_dropout:True_batchnorm:True.out | 43 | [('conv2d', 26763264, 1848), ('batchnorm2d', 26763264, 132), ('ELU', 26763264, 0), ('dropout', 26763264, 0), ('conv2d', 53121024, 77945), ('batchnorm2d', 53121024, 262), ('ELU', 53121024, 0), ('dropout', 53121024, 0), ('conv2d', 105431040, 306800), ('batchnorm2d', 105431040, 520), ('ELU', 105431040, 0), ('dropout', 105... | ELU | 147,826,288 | 22,411,577 | 44 | 30,361 | 95.390625 | 0.934662 | 0.962821 | 0.261875 | 0.017737 | 10 | 10 | 10 | 1 | 1 | SUCCESSFUL | 4.84 | 62,030.32 | 85.49 | 62,120.65 | hourglass |
input_channels:1_num_classes:204_depth:8_arch:gradual_base_filters:61_batch:6_input_size:148_act:softplus_dropout:0.37164570554992904_dropout:False_batchnorm:False.out | 19 | [('conv2d', 8016864, 610), ('Softplus', 8016864, 0), ('conv2d', 9856800, 41250), ('Softplus', 9856800, 0), ('conv2d', 12353856, 63544), ('Softplus', 12353856, 0), ('conv2d', 15376608, 99099), ('Softplus', 15376608, 0), ('conv2d', 19187904, 153884), ('Softplus', 19187904, 0), ('conv2d', 23919168, 239330), ('Softplus', 2... | Softplus | 51,913,171 | 1,606,158 | 6 | 3,911 | -1 | -1 | -1 | -1 | -1 | 8 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.48 | 3,564.6 | 6.13 | 3,571.21 | gradual |
input_channels:1_num_classes:313_depth:12_arch:hourglass_base_filters:69_batch:36_input_size:202_act:elu_dropout:0.4929905710845056_dropout:False_batchnorm:True.out | 39 | [('conv2d', 101357136, 690), ('batchnorm2d', 101357136, 138), ('ELU', 101357136, 0), ('conv2d', 177742224, 75262), ('batchnorm2d', 177742224, 242), ('ELU', 177742224, 0), ('conv2d', 312885072, 232170), ('batchnorm2d', 312885072, 426), ('ELU', 312885072, 0), ('conv2d', 550854000, 719250), ('batchnorm2d', 550854000, 750)... | ELU | 637,032,743 | 32,562,334 | 36 | 37,867 | 40 | 0.142333 | 0.068 | 0.036 | 0.0395 | 12 | 12 | 0 | 1 | 1 | OOM_CRASH | 5.76 | 233,288.28 | 124.22 | 233,418.26 | hourglass |
input_channels:3_num_classes:476_depth:1_arch:hourglass_base_filters:94_batch:20_input_size:118_act:prelu_dropout:0.4976764538806615_dropout:False_batchnorm:False.out | 5 | [('conv2d', 26177120, 2632), ('PReLU', 26177120, 0), ('adaptive_avg_pool2d', 1880, 0), ('linear', 9520, 45220), ('softmax', 9520, 0)] | PReLU | 2,618,758 | 47,852 | 20 | 2,201 | 36.47619 | 0.322692 | 0.295804 | 0.216571 | 0.044649 | 1 | 0 | 0 | 1 | 1 | SUCCESSFUL | 3.2 | 599.4 | 0.18 | 602.78 | hourglass |
input_channels:1_num_classes:829_depth:27_arch:dense_base_filters:71_batch:38_input_size:110_act:swish_dropout:0.4879000239896045_dropout:False_batchnorm:True.out | 78 | [('conv2d', 14713600, 320), ('batchnorm2d', 14713600, 64), ('SiLU', 14713600, 0), ('conv2d', 14713600, 9536), ('batchnorm2d', 14713600, 64), ('SiLU', 14713600, 0), ('conv2d', 14713600, 18752), ('batchnorm2d', 14713600, 64), ('SiLU', 14713600, 0), ('conv2d', 14713600, 27968), ('batchnorm2d', 14713600, 64), ('SiLU', 1471... | SiLU | 12,779,962 | 2,771,325 | 38 | 9,029 | 92.671875 | 0.915587 | 0.813222 | 0.412667 | 0.114232 | 25 | 25 | 0 | 1 | 1 | SUCCESSFUL | 1.9 | 7,469.28 | 10.57 | 7,481.75 | dense |
input_channels:3_num_classes:186_depth:9_arch:uniform_base_filters:35_batch:2_input_size:178_act:relu_dropout:0.229215997093005_dropout:False_batchnorm:False.out | 21 | [('conv2d', 2217880, 980), ('ReLU', 2217880, 0), ('conv2d', 2217880, 11060), ('ReLU', 2217880, 0), ('conv2d', 2217880, 11060), ('ReLU', 2217880, 0), ('conv2d', 2217880, 11060), ('ReLU', 2217880, 0), ('conv2d', 2217880, 11060), ('ReLU', 2217880, 0), ('conv2d', 2217880, 11060), ('ReLU', 2217880, 0), ('conv2d', 2217880, 1... | ReLU | 19,961,327 | 96,156 | 2 | 1,843 | -1 | -1 | -1 | -1 | -1 | 9 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.72 | 456.88 | 0.37 | 457.97 | uniform |
input_channels:1_num_classes:464_depth:13_arch:dense_base_filters:122_batch:42_input_size:132_act:selu_dropout:0.1632770865763225_dropout:True_batchnorm:False.out | 41 | [('conv2d', 23417856, 320), ('SELU', 23417856, 0), ('dropout', 23417856, 0), ('conv2d', 23417856, 9536), ('SELU', 23417856, 0), ('dropout', 23417856, 0), ('conv2d', 23417856, 18752), ('SELU', 23417856, 0), ('dropout', 23417856, 0), ('conv2d', 23417856, 27968), ('SELU', 23417856, 0), ('dropout', 23417856, 0), ('conv2d',... | SELU | 12,267,744 | 619,600 | 42 | 6,683 | -1 | -1 | -1 | -1 | -1 | 13 | 0 | 12 | 1 | 1 | SUCCESSFUL | 2.94 | 6,973.68 | 2.36 | 6,978.98 | dense |
input_channels:1_num_classes:306_depth:22_arch:gradual_base_filters:79_batch:30_input_size:50_act:mish_dropout:0.25702048201729766_dropout:False_batchnorm:False.out | 47 | [('conv2d', 5925000, 790), ('Mish', 5925000, 0), ('conv2d', 6375000, 60520), ('Mish', 6375000, 0), ('conv2d', 6825000, 69706), ('Mish', 6825000, 0), ('conv2d', 7350000, 80360), ('Mish', 7350000, 0), ('conv2d', 7950000, 93598), ('Mish', 7950000, 0), ('conv2d', 8550000, 108870), ('Mish', 8550000, 0), ('conv2d', 9225000, ... | Mish | 20,995,985 | 8,183,498 | 30 | 5,791 | 93.109375 | 0.918127 | 0.858537 | 0.322593 | 0.037473 | 22 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.3 | 7,208.4 | 31.22 | 7,239.92 | gradual |
input_channels:3_num_classes:864_depth:28_arch:pyramid_base_filters:30_batch:44_input_size:108_act:prelu_dropout:0.27757374025542_dropout:True_batchnorm:True.out | 115 | [('conv2d', 15396480, 840), ('batchnorm2d', 15396480, 60), ('PReLU', 15396480, 0), ('dropout', 15396480, 0), ('conv2d', 17449344, 9214), ('batchnorm2d', 17449344, 68), ('PReLU', 17449344, 0), ('dropout', 17449344, 0), ('conv2d', 20528640, 12280), ('batchnorm2d', 20528640, 80), ('PReLU', 20528640, 0), ('dropout', 205286... | PReLU | 577,698,081 | 93,628,218 | 44 | 40,145 | 43.5 | 0.1112 | 0.371 | 0.096 | 0.006 | 28 | 28 | 28 | 1 | 1 | OOM_CRASH | 5.72 | 242,411.4 | 357.16 | 242,774.28 | pyramid |
input_channels:3_num_classes:542_depth:27_arch:gradual_base_filters:45_batch:54_input_size:36_act:tanh_dropout:0.3274594166189795_dropout:False_batchnorm:True.out | 84 | [('conv2d', 3149280, 1260), ('batchnorm2d', 3149280, 90), ('Tanh', 3149280, 0), ('conv2d', 3359232, 19488), ('batchnorm2d', 3359232, 96), ('Tanh', 3359232, 0), ('conv2d', 3569184, 22083), ('batchnorm2d', 3569184, 102), ('Tanh', 3569184, 0), ('conv2d', 3849120, 25300), ('batchnorm2d', 3849120, 110), ('Tanh', 3849120, 0)... | Tanh | 13,671,574 | 5,093,108 | 54 | 5,047 | -1 | -1 | -1 | -1 | -1 | 27 | 27 | 0 | 1 | 1 | SUCCESSFUL | 0.54 | 7,509.78 | 19.43 | 7,529.75 | gradual |
input_channels:1_num_classes:543_depth:24_arch:uniform_base_filters:115_batch:6_input_size:168_act:softplus_dropout:0.37527497047970904_dropout:True_batchnorm:True.out | 99 | [('conv2d', 19474560, 1150), ('batchnorm2d', 19474560, 230), ('Softplus', 19474560, 0), ('dropout', 19474560, 0), ('conv2d', 19474560, 119140), ('batchnorm2d', 19474560, 230), ('Softplus', 19474560, 0), ('dropout', 19474560, 0), ('conv2d', 19474560, 119140), ('batchnorm2d', 19474560, 230), ('Softplus', 19474560, 0), ('... | Softplus | 311,594,161 | 2,809,878 | 6 | 9,705 | -1 | -1 | -1 | -1 | -1 | 24 | 24 | 24 | 1 | 1 | SUCCESSFUL | 0.66 | 17,829.54 | 10.72 | 17,840.92 | uniform |
input_channels:3_num_classes:5_depth:29_arch:pyramid_base_filters:104_batch:56_input_size:170_act:gelu_dropout:0.22935792736750116_dropout:True_batchnorm:True.out | 119 | [('conv2d', 168313600, 2912), ('batchnorm2d', 168313600, 208), ('GELU', 168313600, 0), ('dropout', 168313600, 0), ('conv2d', 186116000, 107755), ('batchnorm2d', 186116000, 230), ('GELU', 186116000, 0), ('dropout', 186116000, 0), ('conv2d', 205536800, 131572), ('batchnorm2d', 205536800, 254), ('GELU', 205536800, 0), ('d... | GELU | 2,074,559,457 | 148,712,316 | 56 | 39,603 | -1 | -1 | -1 | -1 | -1 | 29 | 29 | 29 | 1 | 1 | OOM_CRASH | 18.48 | 1,107,934.24 | 567.29 | 1,108,520.01 | pyramid |
input_channels:3_num_classes:787_depth:6_arch:bottleneck_base_filters:22_batch:22_input_size:100_act:softplus_dropout:0.11973899218918063_dropout:False_batchnorm:True.out | 21 | [('conv2d', 9680000, 1232), ('batchnorm2d', 9680000, 88), ('Softplus', 9680000, 0), ('conv2d', 4840000, 8734), ('batchnorm2d', 4840000, 44), ('Softplus', 4840000, 0), ('conv2d', 11880000, 10746), ('batchnorm2d', 11880000, 108), ('Softplus', 11880000, 0), ('conv2d', 29480000, 65258), ('batchnorm2d', 29480000, 268), ('So... | Softplus | 42,452,401 | 3,630,363 | 22 | 7,665 | -1 | -1 | -1 | -1 | -1 | 6 | 6 | 0 | 1 | 1 | SUCCESSFUL | 2.42 | 9,500.48 | 13.85 | 9,516.75 | bottleneck |
input_channels:1_num_classes:890_depth:23_arch:uniform_base_filters:113_batch:28_input_size:212_act:swish_dropout:0.21876314864445623_dropout:False_batchnorm:True.out | 72 | [('conv2d', 142202816, 1130), ('batchnorm2d', 142202816, 226), ('SiLU', 142202816, 0), ('conv2d', 142202816, 115034), ('batchnorm2d', 142202816, 226), ('SiLU', 142202816, 0), ('conv2d', 142202816, 115034), ('batchnorm2d', 142202816, 226), ('SiLU', 142202816, 0), ('conv2d', 142202816, 115034), ('batchnorm2d', 142202816,... | SiLU | 350,430,261 | 2,638,536 | 28 | 39,903 | -1 | -1 | -1 | -1 | -1 | 23 | 23 | 0 | 1 | 1 | OOM_CRASH | 4.76 | 99,813.28 | 10.07 | 99,828.11 | uniform |
input_channels:3_num_classes:430_depth:18_arch:dense_base_filters:18_batch:44_input_size:12_act:relu_dropout:0.40423482856948545_dropout:False_batchnorm:True.out | 54 | [('conv2d', 202752, 896), ('batchnorm2d', 202752, 64), ('ReLU', 202752, 0), ('conv2d', 202752, 10112), ('batchnorm2d', 202752, 64), ('ReLU', 202752, 0), ('conv2d', 202752, 19328), ('batchnorm2d', 202752, 64), ('ReLU', 202752, 0), ('conv2d', 202752, 28544), ('batchnorm2d', 202752, 64), ('ReLU', 202752, 0), ('conv2d', 41... | ReLU | 126,157 | 1,095,394 | 44 | 1,811 | 31.238095 | 0.286953 | 0.107123 | 0.025518 | 0.012625 | 17 | 17 | 0 | 1 | 1 | SUCCESSFUL | 0 | 75.68 | 4.18 | 79.86 | dense |
input_channels:1_num_classes:617_depth:16_arch:bottleneck_base_filters:71_batch:28_input_size:170_act:gelu_dropout:0.41387214354836666_dropout:False_batchnorm:False.out | 35 | [('conv2d', 114906400, 1420), ('GELU', 114906400, 0), ('conv2d', 57453200, 90809), ('GELU', 57453200, 0), ('conv2d', 71209600, 56320), ('GELU', 71209600, 0), ('conv2d', 89821200, 88023), ('GELU', 89821200, 0), ('conv2d', 112478800, 139000), ('GELU', 112478800, 0), ('conv2d', 140800800, 217848), ('GELU', 140800800, 0), ... | GELU | 462,634,070 | 54,287,179 | 28 | 38,641 | 26 | 0.0365 | 0.322 | 0.063 | 0 | 16 | 0 | 0 | 1 | 1 | OOM_CRASH | 3.08 | 148,243.76 | 207.09 | 148,453.93 | bottleneck |
input_channels:1_num_classes:61_depth:27_arch:dense_base_filters:67_batch:56_input_size:86_act:elu_dropout:0.32543640163756493_dropout:False_batchnorm:False.out | 53 | [('conv2d', 13253632, 320), ('ELU', 13253632, 0), ('conv2d', 13253632, 9536), ('ELU', 13253632, 0), ('conv2d', 13253632, 18752), ('ELU', 13253632, 0), ('conv2d', 13253632, 27968), ('ELU', 13253632, 0), ('conv2d', 26507264, 8320), ('ReLU', 26507264, 0), ('conv2d', 3313408, 18464), ('ELU', 3313408, 0), ('conv2d', 3313408... | ELU | 5,207,610 | 2,228,221 | 56 | 7,841 | -1 | -1 | -1 | -1 | -1 | 25 | 0 | 0 | 1 | 1 | SUCCESSFUL | 1.68 | 5,615.68 | 8.5 | 5,625.86 | dense |
input_channels:3_num_classes:61_depth:9_arch:dense_base_filters:90_batch:54_input_size:104_act:gelu_dropout:0.3082159729117378_dropout:True_batchnorm:True.out | 38 | [('conv2d', 18690048, 896), ('batchnorm2d', 18690048, 64), ('GELU', 18690048, 0), ('dropout', 18690048, 0), ('conv2d', 18690048, 10112), ('batchnorm2d', 18690048, 64), ('GELU', 18690048, 0), ('dropout', 18690048, 0), ('conv2d', 18690048, 19328), ('batchnorm2d', 18690048, 64), ('GELU', 18690048, 0), ('dropout', 18690048... | GELU | 9,031,675 | 210,240 | 54 | 5,455 | -1 | -1 | -1 | -1 | -1 | 9 | 9 | 8 | 1 | 1 | SUCCESSFUL | 6.48 | 5,667.3 | 0.8 | 5,674.58 | dense |
input_channels:1_num_classes:273_depth:21_arch:gradual_base_filters:94_batch:4_input_size:126_act:tanh_dropout:0.25122313648211103_dropout:False_batchnorm:False.out | 45 | [('conv2d', 5969376, 940), ('Tanh', 5969376, 0), ('conv2d', 6413904, 85547), ('Tanh', 6413904, 0), ('conv2d', 6858432, 98280), ('Tanh', 6858432, 0), ('conv2d', 7429968, 113841), ('Tanh', 7429968, 0), ('conv2d', 8001504, 132804), ('Tanh', 8001504, 0), ('conv2d', 8573040, 153225), ('Tanh', 8573040, 0), ('conv2d', 9208080... | Tanh | 143,488,241 | 9,724,852 | 4 | 4,071 | -1 | -1 | -1 | -1 | -1 | 21 | 0 | 0 | 1 | 1 | SUCCESSFUL | 0.24 | 6,568.36 | 37.1 | 6,605.7 | gradual |
input_channels:1_num_classes:948_depth:28_arch:dense_base_filters:89_batch:16_input_size:50_act:tanh_dropout:0.26409647167184447_dropout:False_batchnorm:True.out | 93 | [('conv2d', 1280000, 320), ('batchnorm2d', 1280000, 64), ('Tanh', 1280000, 0), ('conv2d', 1280000, 9536), ('batchnorm2d', 1280000, 64), ('Tanh', 1280000, 0), ('conv2d', 1280000, 18752), ('batchnorm2d', 1280000, 64), ('Tanh', 1280000, 0), ('conv2d', 1280000, 27968), ('batchnorm2d', 1280000, 64), ('Tanh', 1280000, 0), ('... | Tanh | 3,357,672 | 3,352,916 | 16 | 2,487 | 74.046875 | 0.697631 | 0.486491 | 0.19886 | 0.029259 | 30 | 30 | 0 | 1 | 1 | SUCCESSFUL | 0.16 | 787.2 | 12.79 | 800.15 | dense |
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GPUMemNet Dataset
This dataset accompanies the paper "GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations" and is released as part of the GPUMemNet repository.
Description
A synthetic, extensible dataset for GPU memory and utilization estimation across three neural network architecture families: MLPs, CNNs, and Transformers. Each sample captures architectural properties (layer counts, depth, batch size, number of parameters, number of activations) alongside measured GPU memory consumption and hardware utilization metrics (SMACT, SMOCC, DRAMA), collected under controlled training conditions.
The dataset is designed to support the development and evaluation of training-aware GPU resource management systems, with a focus on pre-execution memory estimation and interference-aware scheduling through utilization prediction.
Repository
Code, models, and reproducibility artifacts are available at: https://github.com/itu-rad/GPUMemNet
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