blob: b14fe4c7c73d4c0f6039ce0db19648ba93e36ef6 [file] [log] [blame]
#include "caffe2/operators/cosh_op.h"
#include <algorithm>
#include <functional>
namespace caffe2 {
template <>
template <typename T>
bool CoshGradientFunctor<CPUContext>::Forward(
const std::vector<int>& /* dY_dims */,
const std::vector<int>& X_dims,
const T* dY,
const T* X,
T* dX,
CPUContext* /* context */) const {
const int size = std::accumulate(
// NOLINTNEXTLINE(modernize-use-transparent-functors)
X_dims.cbegin(), X_dims.cend(), 1, std::multiplies<int>());
ConstEigenVectorArrayMap<T> dY_arr(dY, size);
ConstEigenVectorArrayMap<T> X_arr(X, size);
EigenVectorMap<T>(dX, size) = dY_arr * (X_arr.exp() - (-X_arr).exp()) / 2;
return true;
}
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(
Cosh,
UnaryElementwiseOp<
TensorTypes<float>,
CPUContext,
CoshFunctor<CPUContext>>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_CPU_OPERATOR(
CoshGradient,
BinaryElementwiseOp<
TensorTypes<float>,
CPUContext,
CoshGradientFunctor<CPUContext>>);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(Cosh)
.NumInputs(1)
.NumOutputs(1)
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
Calculates the hyperbolic cosine of the given input tensor, element-wise.
Github Links:
- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/cosh_op.cc
<details>
<summary> <b>Example</b> </summary>
**Code**
```
workspace.ResetWorkspace()
op = core.CreateOperator(
"Cosh",
["X"],
["Y"]
)
workspace.FeedBlob("X", np.random.rand(5).astype(np.float32))
print("X:", workspace.FetchBlob("X"))
workspace.RunOperatorOnce(op)
print("Y:", workspace.FetchBlob("Y"))
```
**Result**
```
X: [0.66423494 0.32074615 0.81523746 0.90423071 0.39275789]
Y: [1.22883528 1.05188156 1.35112322 1.43744212 1.07812598]
```
</details>
)DOC")
.Input(0, "input", "Input tensor")
.Output(
0,
"output",
"The hyperbolic cosine values of the input tensor, computed "
"element-wise")
.InheritOnnxSchema();
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
OPERATOR_SCHEMA(CoshGradient)
.NumInputs(2)
.NumOutputs(1)
.IdenticalTypeAndShapeOfInput(0);
namespace {
class GetCoshGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
std::vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"CoshGradient",
"",
std::vector<std::string>{GO(0), I(0)},
std::vector<std::string>{GI(0)});
}
};
} // namespace
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_GRADIENT(Cosh, GetCoshGradient);
} // namespace caffe2