update comments

apache · Jul 11, 2019 · 95cadc1 · 95cadc1
1 parent cb051fe
commit 95cadc1
Showing 1 changed file with 4 additions and 4 deletions.
diff --git 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)