[Discussion] How can I make sure separate running on GPU?

The separate worked, I use --verbose and it shows some info, but i'm not sure it run on GPU. how can i make sure it?

```
C:\Users\Administrator\Desktop\testSound>python -m spleeter separate -p spleeter:5stems -o output --verbose audio_example.mp3
INFO:tensorflow:Using config: {'_model_dir': 'pretrained_models\\5stems', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': gpu_options {
per_process_gpu_memory_fraction: 0.7
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_checkpoint_save_graph_def': True, '_service': None, '_cluster_spec': ClusterSpec({}), '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
WARNING:tensorflow:From C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\site-packages\spleeter\separator.py:146: calling DatasetV2.from_generator (from tensorflow.python.data.ops.dataset_ops) with output_types is deprecated and will be removed in a future version.
Instructions for updating:
Use output_signature instead
WARNING:tensorflow:From C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\site-packages\spleeter\separator.py:146: calling DatasetV2.from_generator (from tensorflow.python.data.ops.dataset_ops) with output_shapes is deprecated and will be removed in a future version.
Instructions for updating:
Use output_signature instead
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Apply unet for vocals_spectrogram
WARNING:tensorflow:From C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\layers\normalization\batch_normalization.py:532: _colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
INFO:tensorflow:Apply unet for piano_spectrogram
INFO:tensorflow:Apply unet for drums_spectrogram
INFO:tensorflow:Apply unet for bass_spectrogram
INFO:tensorflow:Apply unet for other_spectrogram
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Graph was finalized.
INFO:tensorflow:Restoring parameters from pretrained_models\5stems\model
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:spleeter:File output\audio_example/piano.wav written succesfully
INFO:spleeter:File output\audio_example/other.wav written succesfully
INFO:spleeter:File output\audio_example/vocals.wav written succesfully
INFO:spleeter:File output\audio_example/drums.wav written succesfully
INFO:spleeter:File output\audio_example/bass.wav written succesfully
```
I don't think it worked on GPU, because it run 28s. I don't think this is the right speed. Am I right?

Reproduce the `python -m spleeter separate` command with `--verbose` and compare the TensorFlow output with the expected device information. The issue names no repository files or tests, so start with the command-line entry point and the TensorFlow configuration shown in the report. Done means establishing whether GPU execution occurs and documenting or correcting the reported behavior.

Written by the indexing model from the issue text.