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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
32 lines
1.7 KiB
C++
32 lines
1.7 KiB
C++
#include "caffe2/operators/tensor_protos_db_input.h"
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(TensorProtosDBInput, TensorProtosDBInput<CPUContext>);
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OPERATOR_SCHEMA(TensorProtosDBInput)
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.NumInputs(1)
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.NumOutputs(1, INT_MAX)
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.SetDoc(R"DOC(
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TensorProtosDBInput is a simple input operator that basically reads things
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from a db where each key-value pair stores an index as key, and a TensorProtos
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object as value. These TensorProtos objects should have the same size, and they
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will be grouped into batches of the given size. The DB Reader is provided as
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input to the operator and it returns as many output tensors as the size of the
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TensorProtos object. Each output will simply be a tensor containing a batch of
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data with size specified by the 'batch_size' argument containing data from the
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corresponding index in the TensorProtos objects in the DB.
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)DOC")
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.Arg("batch_size", "(int, default 0) the number of samples in a batch. The "
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"default value of 0 means that the operator will attempt to insert the "
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"entire data in a single output blob.")
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.Input(0, "data", "A pre-initialized DB reader. Typically, this is obtained "
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"by calling CreateDB operator with a db_name and a db_type. The "
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"resulting output blob is a DB Reader tensor")
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.Output(0, "output", "The output tensor in which the batches of data are "
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"returned. The number of output tensors is equal to the size of "
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"(number of TensorProto's in) the TensorProtos objects stored in the "
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"DB as values. Each output tensor will be of size specified by the "
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"'batch_size' argument of the operator");
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NO_GRADIENT(TensorProtosDBInput);
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} // namespace caffe2
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