Add is_floating_point to docs (#15704)

Summary:
Fixes #15700 .

Changelog:

- Expose torch.*.is_floating_point to docs

Differential Revision: D13580734

Pulled By: zou3519

fbshipit-source-id: 76edb4af666c08237091a2cebf53d9ba5e6c8909

6 files changed, 23 insertions, 1 deletions

diff --git a/docs/source/tensor_attributes.rst b/docs/source/tensor_attributes.rst
index 230b74d7dd..8233211dba 100644
--- a/docs/source/tensor_attributes.rst
+++ b/docs/source/tensor_attributes.rst
@@ -30,6 +30,9 @@ Data type                  dtype                                         Tensor
 64-bit integer (signed)    ``torch.int64`` or ``torch.long``             ``torch.*.LongTensor``
 ========================   ===========================================   ===========================
 
+To find out if a :class:`torch.dtype` is a floating point data type, the property :attr:`is_floating_point`
+can be used, which returns ``True`` if the data type is a floating point data type.
+
 .. _device-doc:
 
 torch.device
diff --git a/docs/source/tensors.rst b/docs/source/tensors.rst
index 977cf2b52f..4e89392082 100644
--- a/docs/source/tensors.rst
+++ b/docs/source/tensors.rst
@@ -259,6 +259,7 @@ view of a storage and defines numeric operations on it.
    .. automethod:: int
    .. automethod:: inverse
    .. automethod:: is_contiguous
+   .. automethod:: is_floating_point
    .. automethod:: is_pinned
    .. automethod:: is_set_to
    .. automethod:: is_signed
diff --git a/docs/source/torch.rst b/docs/source/torch.rst
index eb34f1ac70..f04b7fb21a 100644
--- a/docs/source/torch.rst
+++ b/docs/source/torch.rst
@@ -6,6 +6,7 @@ Tensors
 ----------------------------------
 .. autofunction:: is_tensor
 .. autofunction:: is_storage
+.. autofunction:: is_floating_point
 .. autofunction:: set_default_dtype
 .. autofunction:: get_default_dtype
 .. autofunction:: set_default_tensor_type
diff --git a/test/test_torch.py b/test/test_torch.py
index 006b25632f..58b6e8f931 100644
--- a/test/test_torch.py
+++ b/test/test_torch.py
@@ -197,7 +197,6 @@ class _TestTorchMixin(object):
                        'index_put',
                        'is_coalesced',
                        'is_distributed',
-                       'is_floating_point',
                        'is_complex',
                        'is_nonzero',
                        'is_same_size',
diff --git a/torch/_tensor_docs.py b/torch/_tensor_docs.py
index 08e9547c47..bcc7d0578d 100644
--- a/torch/_tensor_docs.py
+++ b/torch/_tensor_docs.py
@@ -1263,6 +1263,13 @@ is_contiguous() -> bool
 Returns True if :attr:`self` tensor is contiguous in memory in C order.
 """)
 
+add_docstr_all('is_floating_point',
+               r"""
+is_floating_point() -> bool
+
+Returns True if the data type of :attr:`self` is a floating point data type.
+""")
+
 add_docstr_all('is_set_to',
                r"""
 is_set_to(tensor) -> bool
diff --git a/torch/_torch_docs.py b/torch/_torch_docs.py
index 857b8a684e..162c2af8a9 100644
--- a/torch/_torch_docs.py
+++ b/torch/_torch_docs.py
@@ -2202,6 +2202,17 @@ Example::
     tensor(1.9073e-06)
 """)
 
+add_docstr(torch.is_floating_point,
+           r"""
+is_floating_point(tensor) -> (bool)
+
+Returns True if the data type of :attr:`tensor` is a floating point data type i.e.,
+one of ``torch.float64``, ``torch.float32`` and ``torch.float16``.
+
+Args:
+    tensor (Tensor): the PyTorch tensor to test
+""")
+
 add_docstr(torch.kthvalue,
            r"""
 kthvalue(input, k, dim=None, keepdim=False, out=None) -> (Tensor, LongTensor)