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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
76 lines
1.5 KiB
C++
76 lines
1.5 KiB
C++
#include "is_empty_op.h"
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(IsEmpty, IsEmptyOp<CPUContext>);
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OPERATOR_SCHEMA(IsEmpty)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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The *IsEmpty* op accepts a single input $tensor$, and produces a single boolean output $is\_empty$. The output is *True* if and only if $tensor$ has size == 0.
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Github Links:
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- https://github.com/caffe2/caffe2/blob/master/caffe2/operators/utility_ops.cc
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- https://github.com/caffe2/caffe2/blob/master/caffe2/operators/utility_ops.h
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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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"IsEmpty",
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["tensor"],
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["is_empty"],
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)
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// Use a not-empty tensor
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workspace.FeedBlob("tensor", np.random.randn(2, 2).astype(np.float32))
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print("tensor:\n", workspace.FetchBlob("tensor"))
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workspace.RunOperatorOnce(op)
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print("is_empty: ", workspace.FetchBlob("is_empty"),"\n")
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// Use an empty tensor
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workspace.FeedBlob("tensor", np.empty(0))
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print("tensor:\n", workspace.FetchBlob("tensor"))
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workspace.RunOperatorOnce(op)
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print("is_empty: ", workspace.FetchBlob("is_empty"))
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```
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**Result**
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```
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tensor:
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[[ 0.26018378 0.6778789 ]
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[-1.3097627 -0.40083608]]
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is_empty: False
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tensor:
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[]
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is_empty: True
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```
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</details>
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)DOC")
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.ScalarType(::caffe2::TensorProto_DataType::TensorProto_DataType_BOOL)
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.Input(0, "tensor", "Input data tensor to check if empty.")
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.Output(
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0,
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"is_empty",
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"Output scalar boolean tensor. True if input has size == 0.");
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} // namespace caffe2
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