`exp show`: checkpoint data is no longer returned when running checkpoints based experiment

[mattseddon]

Bug Report

Description

After upgrading to 2.9.4.dev94+g95731e9a I noticed that when running checkpoint experiments only a single experiment is returned in the exp show data. This happens even if multiple experiments are present in the workspace.

The easiest way to demonstrate is with screen recording from the extension and example data.

2.9.3:

Screen.Recording.2022-02-01.at.11.54.21.am.mov

example data

{                                                                     
  "workspace": {
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        "queued": false,
        "running": false,
        "executor": null,
        "metrics": {
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            "data": {
              "step": 1,
              "loss": 2.271583318710327,
              "acc": 0.1145
            }
          }
        }
      }
    }
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        "timestamp": "2022-02-01T09:57:33",
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            "data": {
              "step": 8,
              "loss": 2.1331353187561035,
              "acc": 0.5172
            }
          }
        },
        "name": "remove-size-update"
      }
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        "timestamp": "2022-02-01T13:12:17",
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        "queued": false,
        "running": true,
        "executor": "workspace",
        "metrics": {
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            "data": {
              "step": 1,
              "loss": 2.271583318710327,
              "acc": 0.1145
            }
          }
        },
        "name": "exp-1c3f1",
        "checkpoint_parent": "f0020fd8a96dabe8f650a6d5b17938d3eadbc712"
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}

2.9.4.dev94+g95731e9a:

start:

Screen.Recording.2022-02-01.at.1.00.22.pm.mov

end:

Screen.Recording.2022-02-01.at.1.01.59.pm.mov

example data

{                                                                     
  "workspace": {
    "baseline": {
      "data": {
        "timestamp": null,
        "params": {
          "params.yaml": {
            "data": {
              "seed": 473987,
              "lr": 0.001,
              "weight_decay": 0
            }
          }
        },
        "deps": {
          "data/MNIST": {
            "hash": "0aed307494600d178fbdc0d000d6db38.dir",
            "size": 66544866,
            "nfiles": 10
          },
          "train.py": {
            "hash": "b6291190036da6a4c61d408826d1c7d5",
            "size": 3895,
            "nfiles": null
          }
        },
        "outs": {
          "model.pt": {
            "hash": "96219500eba0370875719b57c7684fee",
            "size": 410191,
            "nfiles": null
          },
          "raw": {
            "hash": "8c257df187855c681f88bde92d721ccd.dir",
            "size": 66544770,
            "nfiles": 8
          }
        },
        "queued": false,
        "running": false,
        "executor": null,
        "metrics": {
          "logs.json": {
            "data": {
              "step": 7,
              "loss": 2.22721004486084,
              "acc": 0.2427
            }
          }
        }
      }
    }
  },
  "7c58a9cb8ed740039d066d64bf9c1ed584482be6": {
    "baseline": {
      "data": {
        "timestamp": "2022-02-01T13:02:38",
        "params": {
          "params.yaml": {
            "data": {
              "seed": 473987,
              "lr": 0.001,
              "weight_decay": 0
            }
          }
        },
        "deps": {
          "data/MNIST": {
            "hash": "0aed307494600d178fbdc0d000d6db38.dir",
            "size": 66544866,
            "nfiles": 10
          },
          "train.py": {
            "hash": "b6291190036da6a4c61d408826d1c7d5",
            "size": 3895,
            "nfiles": null
          }
        },
        "outs": {
          "model.pt": {
            "hash": "96219500eba0370875719b57c7684fee",
            "size": 410191,
            "nfiles": null
          },
          "raw": {
            "hash": "8c257df187855c681f88bde92d721ccd.dir",
            "size": 66544770,
            "nfiles": 8
          }
        },
        "queued": false,
        "running": true,
        "executor": "workspace",
        "metrics": {
          "logs.json": {
            "data": {
              "step": 7,
              "loss": 2.22721004486084,
              "acc": 0.2427
            }
          }
        },
        "name": "exp-b551e"
      }
    }
  }
}

Reproduce

1. have a repo with checkpoints
2. install dvc from main
3. run experiment
4. monitor exp show

Expected

All checkpoint data for experiments within the workspace is returned.

Environment information

Output of dvc doctor:

$ dvc doctor
DVC version: 2.9.4.dev94+g95731e9a 
---------------------------------
Platform: Python 3.9.5 on macOS-12.1-x86_64-i386-64bit
Supports:
        webhdfs (fsspec = 2021.11.1),
        http (aiohttp = 3.7.4.post0, aiohttp-retry = 2.4.5),
        https (aiohttp = 3.7.4.post0, aiohttp-retry = 2.4.5),
        s3 (s3fs = 2021.11.1, boto3 = 1.17.49)
Cache types: reflink, hardlink, symlink
Cache directory: apfs on /dev/disk1s5s1
Caches: local
Remotes: s3
Workspace directory: apfs on /dev/disk1s5s1
Repo: dvc (subdir), git

Additional Information (if any):

Please LMK if I have stumbled across some WIP and you were already addressing this.

Thanks,
Matt

[daavoo]

Able to reproduce. This was introduced in #7204

[efiop]

@karajan1001 Could you take a look, please?

[karajan1001]

It is because in
https://github.com/iterative/dvc/blob/9b5ccb75549ab950ece23b7938ea0eea637c440d/dvc/repo/experiments/show.py#L142-L143

The HEAD is in a continuous changing condition. While in the previous version we use a

fix_exp_head(repo.scm, f"HEAD~{n}") which translate the HEAD into refs/exps/exec/EXEC_BASELINE

I had created a PR for it, it can solve the problem on my computer.