determinism (seeding) not working for transform RandSimulateLowResolutiond

[jwc-rad]

Describe the bug
Determinism (seeding) is not working for dictionary transform RandSimulateLowResolutiond. It does work for RandSimulateLowResolution (array transform).

To Reproduce
Steps to reproduce the behavior:

import torch
from monai.utils import set_determinism
from monai.transforms import (
    Compose, 
    EnsureChannelFirst, EnsureChannelFirstd, 
    RandSimulateLowResolution, RandSimulateLowResolutiond, 
    RandGaussianNoise, RandGaussianNoised
)

seed = 12345
check_tfms = []
for _ in range(2):
    torch.manual_seed(seed)
    set_determinism(seed)    
    
    tfm = Compose([
        EnsureChannelFirstd(keys='image', channel_dim=0),
        RandSimulateLowResolutiond(keys='image',prob=1, zoom_range=[0.5,1], downsample_mode='nearest', upsample_mode='trilinear'),
    ])
    
    tx = torch.randn(1,64,64,64)
    ty = tfm({'image': tx})
    check_tfms.append(ty['image'])
print(((check_tfms[0] - check_tfms[1])**2).sum())

Expected behavior
The code runs seeded transform twice, so the two results should be the same, but the print shows non-zero value.

Screenshots
Other transforms including array transform RandSimulateLowResolution produce zero for the same code.

Environment

Ensuring you use the relevant python executable, please paste the output of:

Printing MONAI config...

MONAI version: 1.3.1
Numpy version: 1.26.4
Pytorch version: 2.2.2+cu118
MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False
MONAI rev id: 96bfda0
MONAI file: /home//anaconda3/envs/py39torch2/lib/python3.9/site-packages/monai/init.py

Optional dependencies:
Pytorch Ignite version: NOT INSTALLED or UNKNOWN VERSION.
ITK version: NOT INSTALLED or UNKNOWN VERSION.
Nibabel version: 5.2.1
scikit-image version: 0.22.0
scipy version: 1.13.1
Pillow version: 10.2.0
Tensorboard version: NOT INSTALLED or UNKNOWN VERSION.
gdown version: 5.2.0
TorchVision version: 0.17.2+cu118
tqdm version: 4.66.4
lmdb version: NOT INSTALLED or UNKNOWN VERSION.
psutil version: 5.9.0
pandas version: 2.2.2
einops version: 0.8.0
transformers version: NOT INSTALLED or UNKNOWN VERSION.
mlflow version: NOT INSTALLED or UNKNOWN VERSION.
pynrrd version: NOT INSTALLED or UNKNOWN VERSION.
clearml version: NOT INSTALLED or UNKNOWN VERSION.

For details about installing the optional dependencies, please visit:
https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies

Printing system config...

System: Linux
Linux version: Ubuntu 22.04.4 LTS
Platform: Linux-5.15.0-113-generic-x86_64-with-glibc2.35
Processor: x86_64
Machine: x86_64
Python version: 3.9.19
Process name: python
Command: ['python', '-c', 'import monai; monai.config.print_debug_info()']
Open files: [popenfile(path='/home/jwchoi/.vscode-server/data/logs/20240710T132329/ptyhost.log', fd=19, position=2015, mode='a', flags=33793), popenfile(path='/home/jwchoi/.vscode-server/data/logs/20240710T132329/remoteagent.log', fd=24, position=488, mode='a', flags=33793), popenfile(path='/home/jwchoi/.vscode-server/data/logs/20240710T132329/network.log', fd=25, position=0, mode='a', flags=33793)]
Num physical CPUs: 16
Num logical CPUs: 32
Num usable CPUs: 32
CPU usage (%): [9.2, 7.5, 5.2, 5.1, 5.2, 5.2, 5.1, 5.1, 5.2, 37.7, 5.2, 5.1, 5.2, 5.2, 6.0, 5.2, 5.1, 5.1, 5.2, 5.2, 5.2, 6.0, 5.2, 5.9, 5.1, 25.6, 5.2, 5.2, 5.2, 5.2, 6.8, 43.6]
CPU freq. (MHz): 4
Load avg. in last 1, 5, 15 mins (%): [0.1, 0.1, 0.0]
Disk usage (%): 5.2
Avg. sensor temp. (Celsius): UNKNOWN for given OS
Total physical memory (GB): 125.0
Available memory (GB): 121.3
Used memory (GB): 2.5

Printing GPU config...

Num GPUs: 1
Has CUDA: True
CUDA version: 11.8
cuDNN enabled: True
NVIDIA_TF32_OVERRIDE: None
TORCH_ALLOW_TF32_CUBLAS_OVERRIDE: None
cuDNN version: 8700
Current device: 0
Library compiled for CUDA architectures: ['sm_50', 'sm_60', 'sm_70', 'sm_75', 'sm_80', 'sm_86', 'sm_37', 'sm_90']
GPU 0 Name: NVIDIA GeForce RTX 4090
GPU 0 Is integrated: False
GPU 0 Is multi GPU board: False
GPU 0 Multi processor count: 128
GPU 0 Total memory (GB): 23.6
GPU 0 CUDA capability (maj.min): 8.9

[25benjaminli]

@jwc-rad I found and resolved the issue, the line self.sim_lowres_tfm.set_random_state(seed, state) was omitted in the dictionary transform (i.e. the helper function wasn't seeded). Submitting a pull request for this - thanks for bringing it up.