sanitize arrays when logging as hyperparameters in TensorBoardLogger (#9031)

Co-authored-by: Justus Schock <[email protected]>
Co-authored-by: Justus Schock <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: thomas chaton <[email protected]>

Author: 4 people

CHANGELOG.md

@@ -63,6 +63,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added DeepSpeed Stage 1 support ([#8974](https://github.com/PyTorchLightning/pytorch-lightning/pull/8974))
 
 
+- Added sanitization of tensors when they get logged as hyperparameters in `TensorBoardLogger` ([#9031](https://github.com/PyTorchLightning/pytorch-lightning/pull/9031))
+
+
 - Added `InterBatchParallelDataFetcher` ([#9020](https://github.com/PyTorchLightning/pytorch-lightning/pull/9020))
 
 

pytorch_lightning/loggers/tensorboard.py

@@ -21,6 +21,7 @@
 from argparse import Namespace
 from typing import Any, Dict, Optional, Union
 
+import numpy as np
 import torch
 from torch.utils.tensorboard import SummaryWriter
 from torch.utils.tensorboard.summary import hparams
@@ -286,6 +287,12 @@ def _get_next_version(self):
 
         return max(existing_versions) + 1
 
+    @staticmethod
+    def _sanitize_params(params: Dict[str, Any]) -> Dict[str, Any]:
+        params = LightningLoggerBase._sanitize_params(params)
+        # logging of arrays with dimension > 1 is not supported, sanitize as string
+        return {k: str(v) if isinstance(v, (torch.Tensor, np.ndarray)) and v.ndim > 1 else v for k, v in params.items()}
+
     def __getstate__(self):
         state = self.__dict__.copy()
         state["_experiment"] = None

tests/loggers/test_tensorboard.py

@@ -17,6 +17,7 @@
 from argparse import Namespace
 from unittest import mock
 
+import numpy as np
 import pytest
 import torch
 import yaml
@@ -178,6 +179,8 @@ def test_tensorboard_log_hyperparams(tmpdir):
         "list": [1, 2, 3],
         "namespace": Namespace(foo=Namespace(bar="buzz")),
         "layer": torch.nn.BatchNorm1d,
+        "tensor": torch.empty(2, 2, 2),
+        "array": np.empty([2, 2, 2]),
     }
     logger.log_hyperparams(hparams)
 
@@ -193,6 +196,8 @@ def test_tensorboard_log_hparams_and_metrics(tmpdir):
         "list": [1, 2, 3],
         "namespace": Namespace(foo=Namespace(bar="buzz")),
         "layer": torch.nn.BatchNorm1d,
+        "tensor": torch.empty(2, 2, 2),
+        "array": np.empty([2, 2, 2]),
     }
     metrics = {"abc": torch.tensor([0.54])}
     logger.log_hyperparams(hparams, metrics)