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https://github.com/pytorch/pytorch.git
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149 lines
4.7 KiB
C++
149 lines
4.7 KiB
C++
#include "counter_ops.h"
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#include "caffe2/core/blob_serialization.h"
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namespace caffe2 {
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namespace {
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namespace {
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/**
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* @brief CounterSerializer is the serializer for Counter type.
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*
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* CounterSerializer takes in a blob that contains a Counter, and serializes
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* it into a BlobProto protocol buffer. At the moment only int64_t counters are
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* supported (since it's the only once that is really used).
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*
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*/
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class CounterSerializer : public BlobSerializerBase {
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public:
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CounterSerializer() {}
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~CounterSerializer() {}
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void Serialize(
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const Blob& blob,
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const string& name,
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SerializationAcceptor acceptor) override {
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CAFFE_ENFORCE(blob.IsType<std::unique_ptr<Counter<int64_t>>>());
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BlobProto blob_proto;
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blob_proto.set_name(name);
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blob_proto.set_type("std::unique_ptr<Counter<int64_t>>");
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TensorProto& proto = *blob_proto.mutable_tensor();
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proto.set_name(name);
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proto.set_data_type(TensorProto_DataType_INT64);
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proto.add_dims(1);
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proto.add_int64_data(
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blob.template Get<std::unique_ptr<Counter<int64_t>>>()->retrieve());
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acceptor(name, blob_proto.SerializeAsString());
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}
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};
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/**
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* @brief CounterDeserializer is the deserializer for Counters.
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*
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*/
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class CounterDeserializer : public BlobDeserializerBase {
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public:
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bool Deserialize(const BlobProto& proto, Blob* blob) override {
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auto tensorProto = proto.tensor();
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CAFFE_ENFORCE_EQ(tensorProto.dims_size(), 1, "Unexpected size of dims");
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CAFFE_ENFORCE_EQ(tensorProto.dims(0), 1, "Unexpected value of dims");
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CAFFE_ENFORCE_EQ(
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tensorProto.data_type(),
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TensorProto_DataType_INT64,
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"Only int64_t counters supported");
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CAFFE_ENFORCE_EQ(
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tensorProto.int64_data_size(), 1, "Unexpected size of data");
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*blob->GetMutable<std::unique_ptr<Counter<int64_t>>>() =
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caffe2::make_unique<Counter<int64_t>>(tensorProto.int64_data(0));
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return true;
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}
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};
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}
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// TODO(jiayq): deprecate these ops & consolidate them with
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// IterOp/AtomicIterOp
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REGISTER_CPU_OPERATOR(CreateCounter, CreateCounterOp<int64_t, CPUContext>);
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REGISTER_CPU_OPERATOR(ResetCounter, ResetCounterOp<int64_t, CPUContext>);
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REGISTER_CPU_OPERATOR(CountDown, CountDownOp<int64_t, CPUContext>);
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REGISTER_CPU_OPERATOR(
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CheckCounterDone,
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CheckCounterDoneOp<int64_t, CPUContext>);
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REGISTER_CPU_OPERATOR(CountUp, CountUpOp<int64_t, CPUContext>);
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REGISTER_CPU_OPERATOR(RetrieveCount, RetrieveCountOp<int64_t, CPUContext>);
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OPERATOR_SCHEMA(CreateCounter)
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.NumInputs(0)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Creates a count-down counter with initial value specified by the 'init_count'
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argument.
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)DOC")
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.Output(0, "counter", "A blob pointing to an instance of a new counter.")
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.Arg("init_count", "Initial count for the counter, must be >= 0.");
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OPERATOR_SCHEMA(ResetCounter)
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.NumInputs(1)
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.NumOutputs(0)
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.SetDoc(R"DOC(
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Resets a count-down counter with initial value specified by the 'init_count'
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argument.
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)DOC")
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.Input(0, "counter", "A blob pointing to an instance of a new counter.")
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.Arg("init_count", "Resets counter to this value, must be >= 0.");
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OPERATOR_SCHEMA(CountDown)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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If the internal count value > 0, decreases count value by 1 and outputs false,
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otherwise outputs true.
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)DOC")
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.Input(0, "counter", "A blob pointing to an instance of a counter.")
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.Output(0, "done", "false unless the internal count is zero.");
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OPERATOR_SCHEMA(CheckCounterDone)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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If the internal count value <= 0, outputs true, otherwise outputs false,
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)DOC")
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.Input(0, "counter", "A blob pointing to an instance of a counter.")
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.Output(0, "done", "true if the internal count is zero or negative.");
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OPERATOR_SCHEMA(CountUp)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Increases count value by 1 and outputs the previous value atomically
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)DOC")
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.Input(0, "counter", "A blob pointing to an instance of a counter.")
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.Output(0, "previous_count", "count value BEFORE this operation");
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OPERATOR_SCHEMA(RetrieveCount)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Retrieve the current value from the counter.
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)DOC")
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.Input(0, "counter", "A blob pointing to an instance of a counter.")
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.Output(0, "count", "current count value.");
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SHOULD_NOT_DO_GRADIENT(CreateCounter);
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SHOULD_NOT_DO_GRADIENT(ResetCounter);
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SHOULD_NOT_DO_GRADIENT(CountDown);
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SHOULD_NOT_DO_GRADIENT(CountUp);
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SHOULD_NOT_DO_GRADIENT(RetrieveCount);
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} // namespace
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CAFFE_KNOWN_TYPE(std::unique_ptr<Counter<int64_t>>);
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REGISTER_BLOB_SERIALIZER(
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(TypeMeta::Id<std::unique_ptr<Counter<int64_t>>>()),
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CounterSerializer);
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REGISTER_BLOB_DESERIALIZER(
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std::unique_ptr<Counter<int64_t>>,
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CounterDeserializer);
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} // namespace caffe2
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