diff --git a/array_api_compat/common/_helpers.py b/array_api_compat/common/_helpers.py
index ff2c213f..ec6b3e0d 100644
--- a/array_api_compat/common/_helpers.py
+++ b/array_api_compat/common/_helpers.py
@@ -144,7 +144,6 @@ def is_paddle_array(x):
 
     import paddle
 
-    # TODO: Should we reject ndarray subclasses?
     return paddle.is_tensor(x)
 
 def is_ndonnx_array(x):
@@ -725,7 +724,7 @@ def device(x: Array, /) -> Device:
             return "cpu"
         elif "gpu" in raw_place_str:
             return "gpu"
-        raise NotImplementedError(f"Unsupported device {raw_place_str}")
+        raise ValueError(f"Unsupported Paddle device: {x.place}")
 
     return x.device
 
diff --git a/array_api_compat/paddle/_aliases.py b/array_api_compat/paddle/_aliases.py
index dabe2928..14d3de7f 100644
--- a/array_api_compat/paddle/_aliases.py
+++ b/array_api_compat/paddle/_aliases.py
@@ -42,37 +42,18 @@
     paddle.complex128,
 }
 
+# NOTE: Implicit promotion rules of Paddle is a bit strict than other frameworks,
+# see details: https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/advanced/auto_type_promotion_cn.html
 _promotion_table = {
     # bool
     (paddle.bool, paddle.bool): paddle.bool,
     # ints
     (paddle.int8, paddle.int8): paddle.int8,
-    (paddle.int8, paddle.int16): paddle.int16,
-    (paddle.int8, paddle.int32): paddle.int32,
-    (paddle.int8, paddle.int64): paddle.int64,
-    (paddle.int16, paddle.int8): paddle.int16,
     (paddle.int16, paddle.int16): paddle.int16,
-    (paddle.int16, paddle.int32): paddle.int32,
-    (paddle.int16, paddle.int64): paddle.int64,
-    (paddle.int32, paddle.int8): paddle.int32,
-    (paddle.int32, paddle.int16): paddle.int32,
     (paddle.int32, paddle.int32): paddle.int32,
-    (paddle.int32, paddle.int64): paddle.int64,
-    (paddle.int64, paddle.int8): paddle.int64,
-    (paddle.int64, paddle.int16): paddle.int64,
-    (paddle.int64, paddle.int32): paddle.int64,
     (paddle.int64, paddle.int64): paddle.int64,
     # uints
     (paddle.uint8, paddle.uint8): paddle.uint8,
-    # ints and uints (mixed sign)
-    (paddle.int8, paddle.uint8): paddle.int16,
-    (paddle.int16, paddle.uint8): paddle.int16,
-    (paddle.int32, paddle.uint8): paddle.int32,
-    (paddle.int64, paddle.uint8): paddle.int64,
-    (paddle.uint8, paddle.int8): paddle.int16,
-    (paddle.uint8, paddle.int16): paddle.int16,
-    (paddle.uint8, paddle.int32): paddle.int32,
-    (paddle.uint8, paddle.int64): paddle.int64,
     # floats
     (paddle.float32, paddle.float32): paddle.float32,
     (paddle.float32, paddle.float64): paddle.float64,
@@ -158,12 +139,12 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.float16: {
             paddle.bfloat16: True,
@@ -172,12 +153,12 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.float32: {
             paddle.bfloat16: True,
@@ -186,12 +167,12 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.float64: {
             paddle.bfloat16: True,
@@ -200,40 +181,40 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.complex64: {
-            paddle.bfloat16: False,
-            paddle.float16: False,
-            paddle.float32: False,
-            paddle.float64: False,
+            paddle.bfloat16: True,
+            paddle.float16: True,
+            paddle.float32: True,
+            paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.complex128: {
-            paddle.bfloat16: False,
-            paddle.float16: False,
-            paddle.float32: False,
-            paddle.float64: False,
+            paddle.bfloat16: True,
+            paddle.float16: True,
+            paddle.float32: True,
+            paddle.float64: True,
             paddle.complex64: True,
             paddle.complex128: True,
-            paddle.uint8: False,
-            paddle.int8: False,
-            paddle.int16: False,
-            paddle.int32: False,
-            paddle.int64: False,
-            paddle.bool: False,
+            paddle.uint8: True,
+            paddle.int8: True,
+            paddle.int16: True,
+            paddle.int32: True,
+            paddle.int64: True,
+            paddle.bool: True,
         },
         paddle.uint8: {
             paddle.bfloat16: True,
@@ -247,7 +228,7 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.int16: True,
             paddle.int32: True,
             paddle.int64: True,
-            paddle.bool: False,
+            paddle.bool: True,
         },
         paddle.int8: {
             paddle.bfloat16: True,
@@ -261,7 +242,7 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.int16: True,
             paddle.int32: True,
             paddle.int64: True,
-            paddle.bool: False,
+            paddle.bool: True,
         },
         paddle.int16: {
             paddle.bfloat16: True,
@@ -275,7 +256,7 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.int16: True,
             paddle.int32: True,
             paddle.int64: True,
-            paddle.bool: False,
+            paddle.bool: True,
         },
         paddle.int32: {
             paddle.bfloat16: True,
@@ -289,7 +270,7 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.int16: True,
             paddle.int32: True,
             paddle.int64: True,
-            paddle.bool: False,
+            paddle.bool: True,
         },
         paddle.int64: {
             paddle.bfloat16: True,
@@ -303,7 +284,7 @@ def can_cast(from_: Union[Dtype, array], to: Dtype, /) -> bool:
             paddle.int16: True,
             paddle.int32: True,
             paddle.int64: True,
-            paddle.bool: False,
+            paddle.bool: True,
         },
         paddle.bool: {
             paddle.bfloat16: True,
diff --git a/tests/_helpers.py b/tests/_helpers.py
index 0321bcb4..07f1859a 100644
--- a/tests/_helpers.py
+++ b/tests/_helpers.py
@@ -3,7 +3,7 @@
 
 import pytest
 
-wrapped_libraries = ["numpy", "paddle"]
+wrapped_libraries = ["numpy", "paddle", "torch"]
 all_libraries = wrapped_libraries + []
 
 # `sparse` added array API support as of Python 3.10.
diff --git a/tests/test_all.py b/tests/test_all.py
index 969d5cfb..7528b22e 100644
--- a/tests/test_all.py
+++ b/tests/test_all.py
@@ -40,5 +40,5 @@ def test_all(library):
         all_names = module.__all__
 
         if set(dir_names) != set(all_names):
-            assert set(dir_names) - set(all_names) == set(), f"Some dir() names not included in __all__ for {mod_name}"
-            assert set(all_names) - set(dir_names) == set(), f"Some __all__ names not in dir() for {mod_name}"
+            assert set(dir_names) - set(all_names) == set(), f"Failed in library '{library}', some dir() names not included in __all__ for {mod_name}"
+            assert set(all_names) - set(dir_names) == set(), f"Failed in library '{library}', some __all__ names not in dir() for {mod_name}"
diff --git a/tests/test_common.py b/tests/test_common.py
index 5c0b5826..a46a2be2 100644
--- a/tests/test_common.py
+++ b/tests/test_common.py
@@ -17,7 +17,7 @@
 is_array_functions = {
     'numpy': 'is_numpy_array',
     # 'cupy': 'is_cupy_array',
-    # 'torch': 'is_torch_array',
+    'torch': 'is_torch_array',
     # 'dask.array': 'is_dask_array',
     # 'jax.numpy': 'is_jax_array',
     # 'sparse': 'is_pydata_sparse_array',
@@ -27,7 +27,7 @@
 is_namespace_functions = {
     'numpy': 'is_numpy_namespace',
     # 'cupy': 'is_cupy_namespace',
-    # 'torch': 'is_torch_namespace',
+    'torch': 'is_torch_namespace',
     # 'dask.array': 'is_dask_namespace',
     # 'jax.numpy': 'is_jax_namespace',
     # 'sparse': 'is_pydata_sparse_namespace',
@@ -103,6 +103,13 @@ def test_asarray_cross_library(source_library, target_library, request):
     if source_library == "cupy" and target_library != "cupy":
         # cupy explicitly disallows implicit conversions to CPU
         pytest.skip(reason="cupy does not support implicit conversion to CPU")
+    if source_library == "paddle" or target_library == "paddle":
+        pytest.skip(
+            reason=(
+                "paddle does not support implicit conversion from/to other framework "
+                "via 'asarray', dlpack is recommend now."
+            )
+        )
     elif source_library == "sparse" and target_library != "sparse":
         pytest.skip(reason="`sparse` does not allow implicit densification")
     src_lib = import_(source_library, wrapper=True)