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#include "caffe2/operators/reciprocal_op.h"
#include <string>
#include <vector>
namespace caffe2 {
REGISTER_CPU_OPERATOR(
Reciprocal,
UnaryElementwiseOp<
TensorTypes<float, double>,
CPUContext,
ReciprocalFunctor<CPUContext>>);
// Input: X, output: Y
OPERATOR_SCHEMA(Reciprocal)
.NumInputs(1)
.NumOutputs(1)
.AllowInplace({{0, 0}})
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
Performs element-wise reciprocal ($\1/x$) of input tensor $X$.
Github Link:
- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/reciprocal_op.cc
<details>
<summary> <b>Example</b> </summary>
**Code**
```
workspace.ResetWorkspace()
op = core.CreateOperator(
"Reciprocal",
["X"],
["Y"],
)
workspace.FeedBlob("X", (np.random.randint(10, size=(3,3))).astype(np.float32))
print("X:", workspace.FetchBlob("X"))
workspace.RunOperatorOnce(op)
print("Y:", workspace.FetchBlob("Y"))
```
**Result**
```
X:
[[8. 3. 3.]
[4. 0. 0.]
[1. 2. 5.]]
Y:
[[0.125 0.3333333 0.3333333 ]
[0.25 inf inf ]
[1 0.5 0.2 ]]
```
</details>
)DOC")
.Input(0, "X", "*(type: Tensor`<float, double>`)* Input data tensor.")
.Output(0, "Y", "*(type: Tensor`<float, double>`)* Output tensor.");
OPERATOR_SCHEMA(ReciprocalGradient).NumInputs(2).NumOutputs(1).AllowInplace({{1, 0}});
} // namespace caffe2
|
