{
  "id": 164428,
  "title": "Submission failed. ",
  "url": "/competitions/landmark-retrieval-2020/discussion/164428",
  "author_name": "",
  "post_date": "2020-07-06T08:09:32.349343800Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3556209%2F8c221b8fd06c467eb68cb61cacb6ac8b%2Ferror.jpg?generation=1594022946675270&amp;alt=media\" alt=\"\"></p>\n\n<p>follow \"Your First Submission (Baseline Example)\",  I saved my model successfully，and load with follw code:\n loaded = tf.saved_model.load(model_save_path) <br>\n print(list(loaded.signatures.keys()))  # [\"serving_default\"] <br>\n infer = loaded.signatures[\"serving_default\"] <br>\n print(infer.structured_outputs) <br>\nmy code  output infomation:\n {'global_descriptor': TensorSpec(shape=(2048,), dtype=tf.float32, name='global_descriptor')} \nBut, when i load model from Baseline Example submission.zip ,which output:\n{'global_descriptor': }</p>",
  "messages": [
    {
      "id": "917073",
      "postDate": "07/06/2020 08:09:32",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3556209%2F8c221b8fd06c467eb68cb61cacb6ac8b%2Ferror.jpg?generation=1594022946675270&amp;alt=media\" alt=\"\"></p>\n\n<p>follow \"Your First Submission (Baseline Example)\",  I saved my model successfully，and load with follw code:\n loaded = tf.saved_model.load(model_save_path) <br>\n print(list(loaded.signatures.keys()))  # [\"serving_default\"] <br>\n infer = loaded.signatures[\"serving_default\"] <br>\n print(infer.structured_outputs) <br>\nmy code  output infomation:\n {'global_descriptor': TensorSpec(shape=(2048,), dtype=tf.float32, name='global_descriptor')} \nBut, when i load model from Baseline Example submission.zip ,which output:\n{'global_descriptor': }</p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3556209%2F8c221b8fd06c467eb68cb61cacb6ac8b%2Ferror.jpg?generation=1594022946675270&amp;alt=media)\n\nfollow \"Your First Submission (Baseline Example)\",  I saved my model successfully，and load with follw code:\n loaded = tf.saved_model.load(model_save_path)                                                                                                          \n print(list(loaded.signatures.keys()))  # [\"serving_default\"]                                                                                                                                                                                                                                         \n infer = loaded.signatures[\"serving_default\"]                                                                                                           \n print(infer.structured_outputs)  \nmy code  output infomation:\n {'global_descriptor': TensorSpec(shape=(2048,), dtype=tf.float32, name='global_descriptor')} \nBut, when i load model from Baseline Example submission.zip ,which output:\n{'global_descriptor':",
      "votes": null
    },
    {
      "id": "928885",
      "postDate": "07/14/2020 09:56:58",
      "content": "<p>It seems the output should be ''global_descriptor'' instead of \"globaldescriptor\".</p>\n\n<p>You may have solved it. Congratulations!</p>",
      "rawMarkdown": "It seems the output should be ''global_descriptor'' instead of \"globaldescriptor\".\n\nYou may have solved it. Congratulations!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 928885,
      "author_name": "kxhit14",
      "author_url": "",
      "post_date": "07/14/2020 09:56:58",
      "content": "<p>It seems the output should be ''global_descriptor'' instead of \"globaldescriptor\".</p>\n\n<p>You may have solved it. Congratulations!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "917073": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3556209%2F8c221b8fd06c467eb68cb61cacb6ac8b%2Ferror.jpg?generation=1594022946675270&amp;alt=media)\n\nfollow \"Your First Submission (Baseline Example)\",  I saved my model successfully，and load with follw code:\n loaded = tf.saved_model.load(model_save_path)                                                                                                          \n print(list(loaded.signatures.keys()))  # [\"serving_default\"]                                                                                                                                                                                                                                         \n infer = loaded.signatures[\"serving_default\"]                                                                                                           \n print(infer.structured_outputs)  \nmy code  output infomation:\n {'global_descriptor': TensorSpec(shape=(2048,), dtype=tf.float32, name='global_descriptor')} \nBut, when i load model from Baseline Example submission.zip ,which output:\n{'global_descriptor':",
    "928885": "It seems the output should be ''global_descriptor'' instead of \"globaldescriptor\".\n\nYou may have solved it. Congratulations!"
  },
  "source": "meta"
}