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https://github.com/zebrajr/pytorch.git
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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
59 lines
1.7 KiB
C++
59 lines
1.7 KiB
C++
#include "caffe2/operators/expand_op.h"
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#include <algorithm>
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#include <functional>
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#include <vector>
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#include <caffe2/utils/math.h>
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(
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Expand,
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ExpandOp<
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TensorTypes<std::int32_t, std::int64_t, float, double>,
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CPUContext>);
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REGISTER_CPU_OPERATOR(
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ExpandGradient,
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ExpandGradientOp<
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TensorTypes<std::int32_t, std::int64_t, float, double>,
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CPUContext>);
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OPERATOR_SCHEMA(Expand)
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.NumInputs(2)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Broadcast the input tensor to a materialized new tensor using given shape.
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Broadcast rule is similar to "numpy.array(input) * numpy.ones(shape)":
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Dimensions are right alignment;
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Two corresponding dimensions must have the same value, or one of them
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equals to 1.
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In order to align with PyTorch's `expand`, `shape` is allowed to have entries
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equal to -1, which means to preserve the size of the corresponding dimension
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in `X` (so it's actually equivalent to equal to 1).
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)DOC")
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.Input(0, "X", "(*Tensor`<NumericType>`*): input tensor")
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.Input(1, "shape", "(*Tensor`<int>`*): expand shape")
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.Output(0, "Y", "(*Tensor`<NumericType>`*): expanded tensor");
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OPERATOR_SCHEMA(ExpandGradient).NumInputs(2).NumOutputs(1);
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namespace {
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class GetExpandGradient final : public GradientMakerBase {
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using GradientMakerBase::GradientMakerBase;
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std::vector<OperatorDef> GetGradientDefs() override {
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return SingleGradientDef(
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"ExpandGradient",
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"",
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std::vector<string>{GO(0), I(0)},
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std::vector<string>{GI(0)});
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}
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};
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} // namespace
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REGISTER_GRADIENT(Expand, GetExpandGradient);
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} // namespace caffe2
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