1 files changed, 15 insertions, 8 deletions
diff --git a/numpy/array_api/_creation_functions.py b/numpy/array_api/_creation_functions.py
index e36807468..741498ff6 100644
--- a/numpy/array_api/_creation_functions.py
+++ b/numpy/array_api/_creation_functions.py
@@ -9,7 +9,6 @@ if TYPE_CHECKING:
         Device,
         Dtype,
         NestedSequence,
-        SupportsDLPack,
         SupportsBufferProtocol,
     )
     from collections.abc import Sequence
@@ -36,14 +35,13 @@ def asarray(
         int,
         float,
         NestedSequence[bool | int | float],
-        SupportsDLPack,
         SupportsBufferProtocol,
     ],
     /,
     *,
     dtype: Optional[Dtype] = None,
     device: Optional[Device] = None,
-    copy: Optional[bool] = None,
+    copy: Optional[Union[bool, np._CopyMode]] = None,
 ) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.asarray <numpy.asarray>`.
@@ -57,11 +55,13 @@ def asarray(
     _check_valid_dtype(dtype)
     if device not in ["cpu", None]:
         raise ValueError(f"Unsupported device {device!r}")
-    if copy is False:
+    if copy in (False, np._CopyMode.IF_NEEDED):
         # Note: copy=False is not yet implemented in np.asarray
         raise NotImplementedError("copy=False is not yet implemented")
-    if isinstance(obj, Array) and (dtype is None or obj.dtype == dtype):
-        if copy is True:
+    if isinstance(obj, Array):
+        if dtype is not None and obj.dtype != dtype:
+            copy = True
+        if copy in (True, np._CopyMode.ALWAYS):
             return Array._new(np.array(obj._array, copy=True, dtype=dtype))
         return obj
     if dtype is None and isinstance(obj, int) and (obj > 2 ** 64 or obj < -(2 ** 63)):
@@ -152,8 +152,9 @@ def eye(
 
 
 def from_dlpack(x: object, /) -> Array:
-    # Note: dlpack support is not yet implemented on Array
-    raise NotImplementedError("DLPack support is not yet implemented")
+    from ._array_object import Array
+
+    return Array._new(np._from_dlpack(x))
 
 
 def full(
@@ -240,6 +241,12 @@ def meshgrid(*arrays: Array, indexing: str = "xy") -> List[Array]:
     """
     from ._array_object import Array
 
+    # Note: unlike np.meshgrid, only inputs with all the same dtype are
+    # allowed
+
+    if len({a.dtype for a in arrays}) > 1:
+        raise ValueError("meshgrid inputs must all have the same dtype")
+
     return [
         Array._new(array)
         for array in np.meshgrid(*[a._array for a in arrays], indexing=indexing)