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