Files
pytorch/caffe2/operators/is_empty_op.cc
Nikita Shulga a9b0a921d5 Disable avoid-non-const-global-variables lint check (#62008)
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
2021-07-22 18:04:40 -07:00

76 lines
1.5 KiB
C++

#include "is_empty_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(IsEmpty, IsEmptyOp<CPUContext>);
OPERATOR_SCHEMA(IsEmpty)
.NumInputs(1)
.NumOutputs(1)
.SetDoc(R"DOC(
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.
Github Links:
- https://github.com/caffe2/caffe2/blob/master/caffe2/operators/utility_ops.cc
- https://github.com/caffe2/caffe2/blob/master/caffe2/operators/utility_ops.h
<details>
<summary> <b>Example</b> </summary>
**Code**
```
workspace.ResetWorkspace()
op = core.CreateOperator(
"IsEmpty",
["tensor"],
["is_empty"],
)
// Use a not-empty tensor
workspace.FeedBlob("tensor", np.random.randn(2, 2).astype(np.float32))
print("tensor:\n", workspace.FetchBlob("tensor"))
workspace.RunOperatorOnce(op)
print("is_empty: ", workspace.FetchBlob("is_empty"),"\n")
// Use an empty tensor
workspace.FeedBlob("tensor", np.empty(0))
print("tensor:\n", workspace.FetchBlob("tensor"))
workspace.RunOperatorOnce(op)
print("is_empty: ", workspace.FetchBlob("is_empty"))
```
**Result**
```
tensor:
[[ 0.26018378 0.6778789 ]
[-1.3097627 -0.40083608]]
is_empty: False
tensor:
[]
is_empty: True
```
</details>
)DOC")
.ScalarType(::caffe2::TensorProto_DataType::TensorProto_DataType_BOOL)
.Input(0, "tensor", "Input data tensor to check if empty.")
.Output(
0,
"is_empty",
"Output scalar boolean tensor. True if input has size == 0.");
} // namespace caffe2