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c2402a9257
Just a change pytorch/tree/master -> pytorch/tree/main pytorch/blob/master -> pytorch/blob/main Pull Request resolved: https://github.com/pytorch/pytorch/pull/100129 Approved by: https://github.com/huydhn
94 lines
2.1 KiB
C++
94 lines
2.1 KiB
C++
#include "caffe2/operators/sqr_op.h"
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#include <string>
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#include <vector>
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(
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Sqr,
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UnaryElementwiseOp<TensorTypes<float>, CPUContext, SqrFunctor<CPUContext>>);
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OPERATOR_SCHEMA(Sqr)
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.NumInputs(1)
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.NumOutputs(1)
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.AllowInplace({{0, 0}})
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.IdenticalTypeAndShape()
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.SetDoc(R"DOC(
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Performs element-wise squaring ($x^2$) of input tensor.
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Github Link:
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- https://github.com/pytorch/pytorch/blob/main/caffe2/operators/sqr_op.cc
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<details>
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<summary> <b>Example</b> </summary>
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**Code**
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```
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workspace.ResetWorkspace()
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op = core.CreateOperator(
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"Sqr",
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["X"],
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["Y"],
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)
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workspace.FeedBlob("X", (np.random.randint(10, size=(3,3))).astype(np.float32))
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print("X:", workspace.FetchBlob("X"))
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workspace.RunOperatorOnce(op)
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print("Y:", workspace.FetchBlob("Y"))
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```
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**Result**
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```
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X:
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[[4. 6. 2.]
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[0. 1. 6.]
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[9. 2. 7.]]
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Y:
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[[16. 36. 4.]
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[ 0. 1. 36.]
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[81. 4. 49.]]
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```
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</details>
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)DOC")
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.Input(0, "X", "*(type: Tensor`<float>`)* Input data tensor.")
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.Output(0, "Y", "*(type: Tensor`<float>`)* Output tensor.");
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namespace {
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class GetSqrGradient : public GradientMakerBase {
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using GradientMakerBase::GradientMakerBase;
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std::vector<OperatorDef> GetGradientDefs() override {
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Argument scale_arg;
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scale_arg.set_name("scale");
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scale_arg.set_f(2.0);
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return std::vector<OperatorDef>{CreateOperatorDef(
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"Scale",
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"",
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std::vector<std::string>{GO(0)},
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std::vector<std::string>{GO(0)},
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std::vector<Argument>{scale_arg}),
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CreateOperatorDef(
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"Mul",
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"",
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std::vector<std::string>{GO(0), I(0)},
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std::vector<std::string>{GI(0)})};
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}
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};
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} // namespace
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REGISTER_GRADIENT(Sqr, GetSqrGradient);
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} // namespace caffe2
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