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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
79 lines
1.7 KiB
C++
79 lines
1.7 KiB
C++
#include "caffe2/operators/shape_op.h"
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(Shape, ShapeOp<CPUContext>);
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OPERATOR_SCHEMA(Shape)
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.NumInputs(1)
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.NumOutputs(1)
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.Arg(
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"axes",
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"*(type: int[])* Array of interested axes."
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"If given, this operator only returns the dimensions of the given axes."
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"Otherwise, the operator returns the dimensions of all axes.")
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.TensorInferenceFunction([](const OperatorDef& def,
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const vector<TensorShape>& in) {
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ArgumentHelper args(def);
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const vector<int>& axes = args.GetRepeatedArgument<int>("axes");
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vector<TensorShape> out(1);
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if (axes.empty()) {
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out[0].add_dims(in[0].dims().size());
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} else {
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out[0].add_dims(axes.size());
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}
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out[0].set_data_type(TensorProto::INT64);
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return out;
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})
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.SetDoc(R"DOC(
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Produce a 1D int64 tensor with the shape of the input tensor.
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If called with an optional argument `axes`, the result will only
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contain the dimensions of specified axes.
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Github Link:
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- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/shape_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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"Shape",
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["X"],
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["shape"],
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)
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workspace.FeedBlob("X", (np.random.randint(10, size=(2,3))))
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print("X:", workspace.FetchBlob("X"))
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workspace.RunOperatorOnce(op)
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print("shape:", workspace.FetchBlob("shape"))
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```
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**Result**
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```
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X:
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[[3 2 5]
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[5 7 3]]
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shape: [2 3]
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```
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</details>
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)DOC")
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.Input(0,"X", "*(type: Tensor)* Input tensor.")
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.Output(0,"shape", "*(type: Tensor)* Output tensor containing shape of input tensor.");
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SHOULD_NOT_DO_GRADIENT(Shape);
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} // namespace caffe2
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