pytorch/caffe2/operators/quantized/int8_concat_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

28 lines
924 B
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#include "caffe2/operators/quantized/int8_concat_op.h"
#include "caffe2/operators/concat_split_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(Int8Concat, int8::Int8ConcatOp);
OPERATOR_SCHEMA(Int8Concat)
.NumInputs(1, INT_MAX)
.NumOutputs(1, 2)
.Arg("Y_scale", "Output tensor quantization scale")
.Arg("Y_zero_point", "Output tensor quantization offset")
.Arg("axis", "Which axis to concat on")
.Arg(
"add_axis",
"Pass 1 to add the axis specified in arg 'axis' to all "
"input tensors")
.TensorInferenceFunction(
OpSchema::NeedsAllInputShapes(TensorInferenceForConcat))
.CostInferenceFunction(CostInferenceForConcat)
.SetDoc("Concatenate a list of tensors into a single tensor")
.Output(0, "concat_result", "Concatenated tensor")
.Output(1, "split_info", "The dimensions of the inputs.")
.InheritOnnxSchema("Concat");
} // namespace caffe2