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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
81 lines
2.4 KiB
C++
81 lines
2.4 KiB
C++
#include "caffe2/operators/map_ops.h"
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namespace caffe2 {
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using MapType64To64 = MapTypeTraits<int64_t, int64_t>::MapType;
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CAFFE_KNOWN_TYPE(MapType64To64);
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using MapType64To32 = MapTypeTraits<int64_t, int32_t>::MapType;
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CAFFE_KNOWN_TYPE(MapType64To32);
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using MapType32To32 = MapTypeTraits<int32_t, int32_t>::MapType;
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CAFFE_KNOWN_TYPE(MapType32To32);
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using MapType32To64 = MapTypeTraits<int32_t, int64_t>::MapType;
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CAFFE_KNOWN_TYPE(MapType32To64);
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namespace {
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REGISTER_BLOB_SERIALIZER(
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TypeMeta::Id<MapType64To64>(),
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MapSerializer<int64_t, int64_t>);
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REGISTER_BLOB_SERIALIZER(
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TypeMeta::Id<MapType64To32>(),
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MapSerializer<int64_t, int32_t>);
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REGISTER_BLOB_SERIALIZER(
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TypeMeta::Id<MapType32To32>(),
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MapSerializer<int32_t, int32_t>);
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REGISTER_BLOB_SERIALIZER(
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TypeMeta::Id<MapType32To64>(),
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MapSerializer<int32_t, int64_t>);
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REGISTER_BLOB_DESERIALIZER(
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(std::unordered_map<int64_t, int64_t>),
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MapDeserializer<int64_t, int64_t>);
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REGISTER_BLOB_DESERIALIZER(
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(std::unordered_map<int64_t, int32_t>),
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MapDeserializer<int64_t, int32_t>);
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REGISTER_BLOB_DESERIALIZER(
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(std::unordered_map<int32_t, int32_t>),
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MapDeserializer<int32_t, int32_t>);
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REGISTER_BLOB_DESERIALIZER(
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(std::unordered_map<int32_t, int64_t>),
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MapDeserializer<int32_t, int64_t>);
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REGISTER_CPU_OPERATOR(CreateMap, CreateMapOp<CPUContext>);
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REGISTER_CPU_OPERATOR(KeyValueToMap, KeyValueToMapOp<CPUContext>);
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REGISTER_CPU_OPERATOR(MapToKeyValue, MapToKeyValueOp<CPUContext>);
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OPERATOR_SCHEMA(CreateMap)
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.NumInputs(0)
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.NumOutputs(1)
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.SetDoc("Create an empty map blob")
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.Arg("key_dtype", "Key's TensorProto::DataType (default INT32)")
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.Arg("value_dtype", "Value's TensorProto::DataType (default INT32)")
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.Output(0, "map blob", "Blob reference to the map")
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.ScalarType(TensorProto_DataType_UNDEFINED);
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OPERATOR_SCHEMA(KeyValueToMap)
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.NumInputs(2)
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.NumOutputs(1)
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.SetDoc("Convert key and value blob pairs into a map blob")
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.Input(0, "key blob", "Blob reference to the key")
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.Input(1, "value blob", "Blob reference to the value")
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.Output(0, "map blob", "Blob reference to the map");
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OPERATOR_SCHEMA(MapToKeyValue)
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.NumInputs(1)
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.NumOutputs(2)
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.SetDoc("Convert a map blob into key and value blob pairs")
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.Input(0, "map blob", "Blob reference to the map")
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.Output(0, "key blob", "Blob reference to the key")
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.Output(1, "value blob", "Blob reference to the value");
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}
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} // namespace caffe2
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