diff --git a/python/cudf/cudf/_lib/interop.pyx b/python/cudf/cudf/_lib/interop.pyx
index 2b38f6b655f..04971b58cd2 100644
--- a/python/cudf/cudf/_lib/interop.pyx
+++ b/python/cudf/cudf/_lib/interop.pyx
@@ -1,7 +1,6 @@
 # Copyright (c) 2020, NVIDIA CORPORATION.
 
 import cudf
-import warnings
 
 from cudf._lib.table cimport Table
 from libcpp.vector cimport vector
@@ -32,10 +31,6 @@ def from_dlpack(dlpack_capsule):
 
     DLPack Tensor PyCapsule is expected to have the name "dltensor".
     """
-    warnings.warn("WARNING: cuDF from_dlpack() assumes column-major (Fortran"
-                  " order) input. If the input tensor is row-major, transpose"
-                  " it before passing it to this function.")
-
     cdef DLManagedTensor* dlpack_tensor = <DLManagedTensor*>pycapsule.\
         PyCapsule_GetPointer(dlpack_capsule, 'dltensor')
     pycapsule.PyCapsule_SetName(dlpack_capsule, 'used_dltensor')
@@ -61,11 +56,6 @@ def to_dlpack(Table source_table):
 
     DLPack Tensor PyCapsule will have the name "dltensor".
     """
-
-    warnings.warn("WARNING: cuDF to_dlpack() produces column-major (Fortran "
-                  "order) output. If the output tensor needs to be row major, "
-                  "transpose the output of this function.")
-
     for column in source_table._columns:
         if column.null_count:
             raise ValueError(
diff --git a/python/cudf/cudf/io/dlpack.py b/python/cudf/cudf/io/dlpack.py
index 3db3b056f87..65055293804 100644
--- a/python/cudf/cudf/io/dlpack.py
+++ b/python/cudf/cudf/io/dlpack.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019, NVIDIA CORPORATION.
+# Copyright (c) 2019-2020, NVIDIA CORPORATION.
 
 from cudf._lib import interop as libdlpack
 from cudf.core.column import ColumnBase
@@ -28,6 +28,11 @@ def from_dlpack(pycapsule_obj):
     -------
     A cuDF DataFrame or Series depending on if the input DLPack tensor is 1D
     or 2D.
+
+    Notes
+    -----
+    cuDF from_dlpack() assumes column-major (Fortran order) input. If the input
+    tensor is row-major, transpose it before passing it to this function.
     """
 
     res = libdlpack.from_dlpack(pycapsule_obj)
@@ -46,8 +51,8 @@ def to_dlpack(cudf_obj):
     `dmlc/dlpack <https://github.com/dmlc/dlpack>`_.
 
     This function takes a cuDF object as input, and returns a PyCapsule object
-    which contains a pointer to DLPack tensor. This function deep
-    copies the data in the cuDF object into the DLPack tensor.
+    which contains a pointer to DLPack tensor. This function deep copies
+    the data in the cuDF object into the DLPack tensor.
 
     Parameters
     ----------
@@ -57,6 +62,11 @@ def to_dlpack(cudf_obj):
     Returns
     -------
     A  DLPack tensor pointer which is encapsulated in a PyCapsule object.
+
+    Notes
+    -----
+    cuDF to_dlpack() produces column-major (Fortran order) output. If the
+    output tensor needs to be row major, transpose the output of this function.
     """
     if len(cudf_obj) == 0:
         raise ValueError("Cannot create DLPack tensor of 0 size")