Move _cumsum and _cumprod to _th_ prefixes.

Summary: Pull Request resolved: pytorch#13311

Reviewed By: ezyang

Differential Revision: D12839706

Pulled By: gchanan

fbshipit-source-id: 79e20b31c6ca2f22229ad3903aacf70dc674c25c

Author: gchanan

aten/src/ATen/Declarations.cwrap

@@ -1972,7 +1972,7 @@
     - THTensor* self
 ]]
 [[
-  name: _cumsum
+  name: _th_cumsum
   cname: cumsum
   variants: function
   return: argument 0
@@ -1984,7 +1984,7 @@
       wrap_dim: self
 ]]
 [[
-  name: _cumprod
+  name: _th_cumprod
   cname: cumprod
   variants: function
   return: argument 0

aten/src/ATen/native/ReduceOps.cpp

@@ -102,7 +102,7 @@ static std::unique_ptr<TensorIterator> make_reduction(
 }
 
 static inline Tensor cumsum(const Tensor& self, int64_t dim, optional<ScalarType> dtype) {
-  return at::_cumsum(integer_upcast(self, dtype), dim);
+  return at::_th_cumsum(integer_upcast(self, dtype), dim);
 }
 
 Tensor cumsum(const Tensor& self, int64_t dim, ScalarType dtype) {
@@ -122,7 +122,7 @@ static inline Tensor& cumsum_out(Tensor& result, const Tensor& self, int64_t dim
       " and ",
       at::toString(dtype.value()),
       ".");
-  return at::_cumsum_out(result, self.toType(result.type().scalarType()), dim);
+  return at::_th_cumsum_out(result, self.toType(result.type().scalarType()), dim);
 }
 
 Tensor& cumsum_out(Tensor& result, const Tensor& self, int64_t dim, ScalarType dtype) {
@@ -134,7 +134,7 @@ Tensor& cumsum_out(Tensor& result, const Tensor& self, int64_t dim) {
 }
 
 static inline Tensor cumprod(const Tensor& self, int64_t dim, optional<ScalarType> dtype) {
-  return at::_cumprod(integer_upcast(self, dtype), dim);
+  return at::_th_cumprod(integer_upcast(self, dtype), dim);
 }
 
 Tensor cumprod(const Tensor& self, int64_t dim, ScalarType dtype) {
@@ -154,7 +154,7 @@ static inline Tensor& cumprod_out(Tensor& result, const Tensor& self, int64_t di
       " and ",
       at::toString(dtype.value()),
       ".");
-  return at::_cumprod_out(result, self.toType(result.type().scalarType()), dim);
+  return at::_th_cumprod_out(result, self.toType(result.type().scalarType()), dim);
 }
 
 Tensor& cumprod_out(Tensor& result, const Tensor& self, int64_t dim, ScalarType dtype) {

tools/autograd/derivatives.yaml

@@ -211,10 +211,10 @@
   self: other.cross(grad, dim)
   other: grad.cross(self, dim)
 
-- name: _cumprod(Tensor self, int64_t dim)
+- name: _th_cumprod(Tensor self, int64_t dim)
   self: cumprod_backward(grad, self, dim)
 
-- name: _cumsum(Tensor self, int64_t dim)
+- name: _th_cumsum(Tensor self, int64_t dim)
   self: cumsum_backward(grad, dim)
 
 - name: conv_tbc(Tensor self, Tensor weight, Tensor bias, int64_t pad)