Trial details page empty

[Interfish]

Describe the issue:
Trial details page is empty while overview page and others seems okay. I am using Edge browser. Here is a screenshot of total blank details page below, after clicking the button:

Overview page is okay:

Environment:

• NNI version: 3.0
• Training service (local|remote|pai|aml|etc): local
• Client OS: Ubuntu 22.04 docker container
• Server OS (for remote mode only): NaN
• Python version: 3.10.12
• PyTorch/TensorFlow version: PyTorch 2.3.1+cu121
• Is conda/virtualenv/venv used?:No
• Is running in Docker?: Yes

Configuration:

• Experiment config (remember to remove secrets!):

{
  "params": {
    "experimentType": "hpo",
    "trialCommand": "python dl_run.py --use_nni --config /life_changer/experiments/ws_related/train/nni/v25/default.yaml",
    "trialCodeDirectory": "/life_changer/experiments/ws_related/train",
    "trialConcurrency": 1,
    "maxTrialDuration": "1h",
    "useAnnotation": false,
    "debug": false,
    "logLevel": "info",
    "experimentWorkingDirectory": "/life_changer/experiments/ws_related/train/nni/experiments",
    "tuner": {
      "name": "GridSearch"
    },
    "trainingService": {
      "platform": "local",
      "trialCommand": "python dl_run.py --use_nni --config /life_changer/experiments/ws_related/train/nni/v25/default.yaml",
      "trialCodeDirectory": "/life_changer/experiments/ws_related/train",
      "debug": false,
      "maxTrialNumberPerGpu": 1,
      "reuseMode": false
    }
  },
  "execDuration": "1m 40s",
  "nextSequenceId": 2,
  "revision": 14
}

• Search space:

{
  "model.embedding.mark_unknown_as_padding": {
    "_type": "choice",
    "_value": [true, false]
  },
  "model.embedding.init_weight_by_numerical_intensity": {
    "_type": "choice",
    "_value": [true, false]
  },
  "model.cross_layer.sub_net_dims": {
    "_type": "choice",
    "_value": [4, 16]
  },
  "model.cross_layer.score_fn": {
    "_type": "choice",
    "_value": [
      {
        "softplus": {"use": true, "beta": 5, "threshold": 100}
      },
      {
        "softmax": {"use": true}
      },
      {
        "silu": {"use": true}
      }
    ]
  },
  "model.cross_layer.use_lhuc": {
    "_type": "choice",
    "_value": [true, false]
  },
  "model.cross_layer.global_score_fn": {
    "_type": "choice",
    "_value": [true, false]
  },
  "model.output_layer.moe.topk": {
    "_type": "choice",
    "_value": [
      null,
      2
    ]
  },
  "model.output_layer.moe.num_experts": {
    "_type": "choice",
    "_value": [8, 32]
  },
  "model.output_layer.moe.experts_share_input": {
    "_type": "choice",
    "_value": [true, false]
  },
  "model.output_layer.moe.gating_input": {
    "_type": "choice",
    "_value": ["odds_team_ha_emb", "same_as_expert"]
  },
  "model.loss": {
    "_type": "choice",
    "_value": [
      {
        "focal": {"use": true, "gamma": 2}
      },
      {
        "ghmc": {"use": true, "bins": 10}
      },
      {
        "wdl_prob_rank": {"use": true, "top_k_frac": 0.1, "top_k_weight"": 10}
      },
      {
        "odds_weighted": {"use": true, "pow_of_n": 2}
      },
      {
        "pred_odds_topk": {
          "use": true,
          "top_k_frac": 0.1,
          "top_k_weight": 10,
          "weight_by_odds": false
        }
      },
      {
        "pred_odds_topk": {
          "use": true,
          "top_k_frac": 0.1,
          "top_k_weight": null,
          "weight_by_odds": true
        }
      },
      {
        "pred_odds_topk": {
          "use": true,
          "top_k_frac": 0.2,
          "top_k_weight": 5,
          "weight_by_odds": false
        }
      },
      {
        "preds_correct_odds": {
          "use": true,
          "threshold": 3,
          "weight": 10,
          "weight_by_odds": false
        }
      },
      {
        "preds_correct_odds": {
          "use": true,
          "threshold": 3,
          "weight": null,
          "weight_by_odds": true
        }
      }
    ]
  },
  "model.degree_1.last_n": {
    "_type": "choice",
    "_value": [1, 3]
  },
  "model.degree_1.use_lhuc": {
    "_type": "choice",
    "_value": [true, false]
  },
  "optimizer": {
    "_type": "choice",
    "_value": [
      {
        "_name": "RAdam",
        "weight_decay": {
          "_type": "choice",
          "_value": [0.0001, 0.001]
        }
      },
      {
        "_name": "Ranger",
        "weight_decay": {
          "_type": "choice",
          "_value": [0.0001, 0.001]
        }
      }
    ]
  }
}

Log message:

• nnimanager.log:

[2024-06-17 01:58:52] INFO (main) Start NNI manager
[2024-06-17 01:58:52] INFO (RestServer) Starting REST server at port 8888, URL prefix: "/"
[2024-06-17 01:58:52] INFO (RestServer) REST server started.
[2024-06-17 01:58:53] INFO (NNIDataStore) Datastore initialization done
[2024-06-17 01:58:54] INFO (NNIManager) Starting experiment: l2yv4dn1
[2024-06-17 01:58:54] INFO (NNIManager) Setup training service...
[2024-06-17 01:58:54] INFO (NNIManager) Setup tuner...
[2024-06-17 01:58:54] INFO (NNIManager) Change NNIManager status from: INITIALIZED to: RUNNING
[2024-06-17 01:58:54] INFO (NNIManager) Add event listeners
[2024-06-17 01:58:54] INFO (LocalV3.local) Start
[2024-06-17 01:58:54] INFO (NNIManager) NNIManager received command from dispatcher: ID, 
[2024-06-17 01:58:54] INFO (NNIManager) NNIManager received command from dispatcher: TR, {"parameter_id": 0, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.0001}}, "parameter_index": 0}
[2024-06-17 01:58:55] INFO (NNIManager) submitTrialJob: form: {
  sequenceId: 0,
  hyperParameters: {
    value: '{"parameter_id": 0, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.0001}}, "parameter_index": 0}',
    index: 0
  },
  placementConstraint: { type: 'None', gpus: [] }
}
[2024-06-17 01:58:55] INFO (LocalV3.local) Register directory trial_code = /life_changer/experiments/ws_related/train
[2024-06-17 01:58:55] INFO (LocalV3.local) Created trial FOUTA
[2024-06-17 01:58:58] INFO (LocalV3.local) Trial parameter: FOUTA {"parameter_id": 0, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.0001}}, "parameter_index": 0}
[2024-06-17 02:00:08] INFO (NNIManager) Trial job FOUTA status changed from RUNNING to SUCCEEDED
[2024-06-17 02:00:09] INFO (NNIManager) NNIManager received command from dispatcher: TR, {"parameter_id": 1, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.001}}, "parameter_index": 0}
[2024-06-17 02:00:09] INFO (NNIManager) submitTrialJob: form: {
  sequenceId: 1,
  hyperParameters: {
    value: '{"parameter_id": 1, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.001}}, "parameter_index": 0}',
    index: 0
  },
  placementConstraint: { type: 'None', gpus: [] }
}
[2024-06-17 02:00:09] INFO (LocalV3.local) Created trial sCcur
[2024-06-17 02:00:12] INFO (LocalV3.local) Trial parameter: sCcur {"parameter_id": 1, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "RAdam", "weight_decay": 0.001}}, "parameter_index": 0}
[2024-06-17 02:01:20] INFO (NNIManager) Trial job sCcur status changed from RUNNING to SUCCEEDED
[2024-06-17 02:01:20] INFO (NNIManager) NNIManager received command from dispatcher: TR, {"parameter_id": 2, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "Ranger", "weight_decay": 0.0001}}, "parameter_index": 0}
[2024-06-17 02:01:20] INFO (NNIManager) submitTrialJob: form: {
  sequenceId: 2,
  hyperParameters: {
    value: '{"parameter_id": 2, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "Ranger", "weight_decay": 0.0001}}, "parameter_index": 0}',
    index: 0
  },
  placementConstraint: { type: 'None', gpus: [] }
}
[2024-06-17 02:01:20] INFO (LocalV3.local) Created trial y553t
[2024-06-17 02:01:23] INFO (LocalV3.local) Trial parameter: y553t {"parameter_id": 2, "parameter_source": "algorithm", "parameters": {"model.embedding.mark_unknown_as_padding": true, "model.embedding.init_weight_by_numerical_intensity": true, "model.cross_layer.sub_net_dims": 4, "model.cross_layer.score_fn": {"softplus": {"use": true, "beta": 5, "threshold": 100}}, "model.cross_layer.use_lhuc": true, "model.cross_layer.global_score_fn": true, "model.output_layer.moe.topk": null, "model.output_layer.moe.num_experts": 8, "model.output_layer.moe.experts_share_input": true, "model.output_layer.moe.gating_input": "odds_team_ha_emb", "model.loss": {"focal": {"use": true, "gamma": 2}}, "model.degree_1.last_n": 1, "model.degree_1.use_lhuc": true, "optimizer": {"_name": "Ranger", "weight_decay": 0.0001}}, "parameter_index": 0}

• dispatcher.log:

[2024-06-17 01:58:54] INFO (nni.runtime.msg_dispatcher_base/MainThread) Dispatcher started
[2024-06-17 01:58:54] INFO (nni.runtime.msg_dispatcher/Thread-1 (command_queue_worker)) Initial search space: {'model.embedding.mark_unknown_as_padding': {'_type': 'choice', '_value': [True, False]}, 'model.embedding.init_weight_by_numerical_intensity': {'_type': 'choice', '_value': [True, False]}, 'model.cross_layer.sub_net_dims': {'_type': 'choice', '_value': [4, 16]}, 'model.cross_layer.score_fn': {'_type': 'choice', '_value': [{'softplus': {'use': True, 'beta': 5, 'threshold': 100}}, {'softmax': {'use': True}}, {'silu': {'use': True}}]}, 'model.cross_layer.use_lhuc': {'_type': 'choice', '_value': [True, False]}, 'model.cross_layer.global_score_fn': {'_type': 'choice', '_value': [True, False]}, 'model.output_layer.moe.topk': {'_type': 'choice', '_value': [None, 2]}, 'model.output_layer.moe.num_experts': {'_type': 'choice', '_value': [8, 32]}, 'model.output_layer.moe.experts_share_input': {'_type': 'choice', '_value': [True, False]}, 'model.output_layer.moe.gating_input': {'_type': 'choice', '_value': ['odds_team_ha_emb', 'same_as_expert']}, 'model.loss': {'_type': 'choice', '_value': [{'focal': {'use': True, 'gamma': 2}}, {'ghmc': {'use': True, 'bins': 10}}, {'wdl_prob_rank': {'use': True, 'top_k_frac': 0.1, 'top_k_weight"': 10}}, {'odds_weighted': {'use': True, 'pow_of_n': 2}}, {'pred_odds_topk': {'use': True, 'top_k_frac': 0.1, 'top_k_weight': 10, 'weight_by_odds': False}}, {'pred_odds_topk': {'use': True, 'top_k_frac': 0.1, 'top_k_weight': None, 'weight_by_odds': True}}, {'pred_odds_topk': {'use': True, 'top_k_frac': 0.2, 'top_k_weight': 5, 'weight_by_odds': False}}, {'preds_correct_odds': {'use': True, 'threshold': 3, 'weight': 10, 'weight_by_odds': False}}, {'preds_correct_odds': {'use': True, 'threshold': 3, 'weight': None, 'weight_by_odds': True}}]}, 'model.degree_1.last_n': {'_type': 'choice', '_value': [1, 3]}, 'model.degree_1.use_lhuc': {'_type': 'choice', '_value': [True, False]}, 'optimizer': {'_type': 'choice', '_value': [{'_name': 'RAdam', 'weight_decay': {'_type': 'choice', '_value': [0.0001, 0.001]}}, {'_name': 'Ranger', 'weight_decay': {'_type': 'choice', '_value': [0.0001, 0.001]}}]}}
[2024-06-17 01:58:54] INFO (nni.tuner.gridsearch/Thread-1 (command_queue_worker)) Grid initialized, size: (2×2×2×3×2×2×2×2×2×2×9×2×2×2×2×2) = 442368

• nnictl stdout and stderr:

--------------------------------------------------------------------------------
Experiment l2yv4dn1 start: 2024-06-17 01:58:52.009267
--------------------------------------------------------------------------------

How to reproduce it?:
Maybe hard to reproduce because the exact env is complicated on my machine.

[Interfish]

After experiments of my own, I found that the root cause is "null" in my exp config yaml file. If I replace them for some values like "True" or "1", then details page can display normally. Since this repo is no longer maintained, just for record for those who is stilling use nni.