hydra.errors.InstantiationException: Error locating target 'fhmap.factory.dataset.Cifar10DataModule'

[qm-intel]

@gatheluck

Thanks for your contribution

I have downloaded the resnet56 weights from this link., and the weight has been saved in the following folder:

FourierHeatmap
├── weights
│	└── resnet56-4bfd9763.th

CIFAR10 data is in the following folder

FourierHeatmap
├── data
│	└── cifar10
│		├── train/
│		└── val/

When I am trying to run the code,

poetry run python fhmap/apps/eval_fhmap.py dataset=cifar10 arch=resnet56 weightpath=weights/resnet56-4bfd9763.th eps=4.0

I am getting this error:

hydra.errors.InstantiationException: Error locating target 'fhmap.factory.dataset.Cifar10DataModule', set env var HYDRA_FULL_ERROR=1 to see chained exception.
full_key: dataset

which is related to this line of code

How this can be resolved? Am I making mistakes somewhere in the command?

and this is the full output:

poetry run python fhmap/apps/eval_fhmap.py dataset=cifar10 arch=resnet56 weightpath=weights/resnet56-4bfd9763.th eps=4.0
/home/user/PycharmProjects/FrequencyAnalysis/FourierHeatmap/fhmap/apps/eval_fhmap.py:72: UserWarning: 
The version_base parameter is not specified.
Please specify a compatability version level, or None.
Will assume defaults for version 1.1
  @hydra.main(config_path="../config", config_name="eval_fhmap")
Wed Dec 27 13:24:56 2023       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA RTX 6000 Ada Gene...    On  | 00000000:41:00.0  On |                    0 |
| 30%   38C    P8              23W / 300W |  18816MiB / 46068MiB |      8%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   1  NVIDIA RTX 6000 Ada Gene...    On  | 00000000:61:00.0 Off |                    0 |
| 30%   36C    P8              27W / 300W |     25MiB / 46068MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|    0   N/A  N/A      1964      G   /usr/lib/xorg/Xorg                           39MiB |
|    0   N/A  N/A      2827      G   /usr/lib/xorg/Xorg                          193MiB |
|    0   N/A  N/A      2958      G   /usr/bin/gnome-shell                         40MiB |
|    0   N/A  N/A      4985      G   ...seed-version=20231214-180149.265000      105MiB |
|    0   N/A  N/A     13682      C   .../anaconda3/envs/text2seg/bin/python     8260MiB |
|    0   N/A  N/A     69924      C   .../anaconda3/envs/text2seg/bin/python    10068MiB |
|    0   N/A  N/A     72210      G   .../anaconda3/envs/text2seg/bin/python       31MiB |
|    0   N/A  N/A    167619      G   ...ures=SpareRendererForSitePerProcess       24MiB |
|    1   N/A  N/A      1964      G   /usr/lib/xorg/Xorg                            4MiB |
|    1   N/A  N/A      2827      G   /usr/lib/xorg/Xorg                            4MiB |
+---------------------------------------------------------------------------------------+
INFO:__main__:0
/home/user/anaconda3/envs/freq-env/lib/python3.9/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'eval_fhmap': Defaults list is missing `_self_`. See https://hydra.cc/docs/1.2/upgrades/1.0_to_1.1/default_composition_order for more information
  warnings.warn(msg, UserWarning)
sys:1: UserWarning: 
'eval_fhmap' is validated against ConfigStore schema with the same name.
This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.
See https://hydra.cc/docs/1.2/upgrades/1.0_to_1.1/automatic_schema_matching for migration instructions.
/home/user/anaconda3/envs/freq-env/lib/python3.9/site-packages/hydra/main.py:94: UserWarning: 
'eval_fhmap' is validated against ConfigStore schema with the same name.
This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.
See https://hydra.cc/docs/1.2/upgrades/1.0_to_1.1/automatic_schema_matching for migration instructions.
  _run_hydra(
/home/user/anaconda3/envs/freq-env/lib/python3.9/site-packages/hydra/_internal/hydra.py:119: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default.
See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information.
  ret = run_job(
[2023-12-27 13:24:56,781][__main__][INFO] - arch:
  _target_: fhmap.factory.archs.resnet.resnet56
  pretrained: false
dataset:
  _target_: fhmap.factory.dataset.Cifar10DataModule
env:
  device: cuda:0
  num_nodes: 1
  num_workers: 8
  savedir: outputs
batch_size: 512
eps: 4.0
ignore_edge_size: 0
num_samples: -1
topk:
- 1
- 5
weightpath: weights/resnet56-4bfd9763.th

Error executing job with overrides: ['dataset=cifar10', 'arch=resnet56', 'weightpath=weights/resnet56-4bfd9763.th', 'eps=4.0']
Error locating target 'fhmap.factory.dataset.Cifar10DataModule', set env var HYDRA_FULL_ERROR=1 to see chained exception.
full_key: dataset

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

[qiqiiii]

I had the same problem as you. How did you solve it?