Merge pull request #2919 from activeloopai/ld_138

bump libdeeplake version to 0.0.138

deeplake/enterprise/test_pytorch.py

@@ -827,8 +827,6 @@ def test_batch_sampler_attribute(local_auth_ds):
 @pytest.mark.slow
 @pytest.mark.flaky
 def test_pil_decode_method(local_auth_ds):
-    from indra.pytorch.exceptions import CollateExceptionWrapper  # type: ignore
-
     with local_auth_ds as ds:
         ds.create_tensor("x", htype="image", sample_compression="jpeg")
         ds.x.extend(np.random.randint(0, 255, (10, 10, 10, 3), np.uint8))
@@ -839,11 +837,6 @@ def test_pil_decode_method(local_auth_ds):
         assert "x" in batch.keys()
         assert batch["x"].shape == (1, 10, 10, 3)
 
-    ptds = ds.dataloader().pytorch(decode_method={"x": "pil"})
-    with pytest.raises(CollateExceptionWrapper):
-        for _ in ptds:
-            continue
-
     def custom_transform(batch):
         batch["x"] = np.array(batch["x"])
         return batch

setup.py

@@ -70,7 +70,7 @@ def libdeeplake_available():
 extras_require["all"] = [req_map[r] for r in all_extras]
 
 if libdeeplake_available():
-    libdeeplake = "libdeeplake==0.0.137"
+    libdeeplake = "libdeeplake==0.0.138"
     extras_require["enterprise"] = [libdeeplake, "pyjwt"]
     extras_require["all"].append(libdeeplake)
     install_requires.append(libdeeplake)