fix: convert to str for torch.load (#2277)

* fix: convert to str for torch.load

* fix: map to cpu

* fix: skip the test if < 1.5.0

* revert: remove pull_request

Author: ydcjeff

tests/ignite/test_utils.py

@@ -2,6 +2,7 @@
 import os
 import sys
 from collections import namedtuple
+from distutils.version import LooseVersion
 
 import pytest
 import torch
@@ -244,6 +245,7 @@ def test_smoke__utils():
     from ignite._utils import apply_to_tensor, apply_to_type, convert_tensor, to_onehot  # noqa: F401
 
 
+@pytest.mark.skipif(LooseVersion(torch.__version__) < LooseVersion("1.5.0"), reason="Skip if < 1.5.0")
 def test_hash_checkpoint(tmp_path):
     # download lightweight model
     from torchvision.models import squeezenet1_0
@@ -253,7 +255,7 @@ def test_hash_checkpoint(tmp_path):
         "https://download.pytorch.org/models/squeezenet1_0-b66bff10.pth", f"{tmp_path}/squeezenet1_0.pt",
     )
     hash_checkpoint_path, sha_hash = hash_checkpoint(f"{tmp_path}/squeezenet1_0.pt", str(tmp_path))
-    model.load_state_dict(torch.load(hash_checkpoint_path), True)
+    model.load_state_dict(torch.load(str(hash_checkpoint_path), "cpu"), True)
     assert sha_hash[:8] == "b66bff10"
     assert hash_checkpoint_path.name == f"squeezenet1_0-{sha_hash[:8]}.pt"