From 95cadc117b659aa12cf5ed643d75e69ffaa6ff7d Mon Sep 17 00:00:00 2001
From: kshitij12345 <kshitijkalambarkar@gmail.com>
Date: Thu, 11 Jul 2019 20:33:43 +0530
Subject: [PATCH] update comments

---
 src/operator/tensor/elemwise_unary_op_trig.cc | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/operator/tensor/elemwise_unary_op_trig.cc b/src/operator/tensor/elemwise_unary_op_trig.cc
index 8f7fd9b1cabc..522a97e41947 100644
--- a/src/operator/tensor/elemwise_unary_op_trig.cc
+++ b/src/operator/tensor/elemwise_unary_op_trig.cc
@@ -49,7 +49,7 @@ The storage type of ``sin`` output depends upon the input storage type:
 MXNET_OPERATOR_REGISTER_BINARY_WITH_SPARSE_CPU_DR(_backward_sin, unary_bwd<mshadow_op::sin_grad>)
 .set_attr<nnvm::FGradient>("FGradient",
     [](const nnvm::NodePtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
-      // ograds[0]: head_grad_grads (dL/dxgrad)
+      // ograds[0]: head_grad_grads (dL/dy_grad)
       // inputs[0]: dL/dy
       // inputs[1]: x (ElemwiseUseIn)
       // f(x) = sin(x)
@@ -92,7 +92,7 @@ The storage type of ``cos`` output is always dense
 MXNET_OPERATOR_REGISTER_BINARY_WITH_SPARSE_CPU(_backward_cos, unary_bwd<mshadow_op::cos_grad>)
 .set_attr<nnvm::FGradient>("FGradient",
     [](const nnvm::NodePtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
-      // ograds[0]: head_grad_grads (dL/dx_grad)
+      // ograds[0]: head_grad_grads (dL/dy_grad)
       // inputs[0]: dL/dy
       // inputs[1]: x (ElemwiseUseIn)
       // f(x) = cos(x)
@@ -260,7 +260,7 @@ The storage type of ``sinh`` output depends upon the input storage type:
 MXNET_OPERATOR_REGISTER_BINARY_WITH_SPARSE_CPU_DR(_backward_sinh, unary_bwd<mshadow_op::sinh_grad>)
 .set_attr<nnvm::FGradient>("FGradient",
     [](const nnvm::NodePtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
-      // ograds[0]: d^2L/dx^2
+      // ograds[0]: dL/dy_grad
       // inputs[0]: dL/dy
       // inputs[1]: x (ElemwiseUseIn)
       // f(x) = sinh(x)
@@ -298,7 +298,7 @@ The storage type of ``cosh`` output is always dense
 MXNET_OPERATOR_REGISTER_BINARY_WITH_SPARSE_CPU(_backward_cosh, unary_bwd<mshadow_op::cosh_grad>)
 .set_attr<nnvm::FGradient>("FGradient",
     [](const nnvm::NodePtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
-      // ograds[0]: d^2L/dx^2
+      // ograds[0]: dL/dy_grad
       // inputs[0]: dL/dy
       // inputs[1]: x (ElemwiseUseIn)
       // f(x) = cosh(x)