| #include "lstm_unit_op.h" |
| |
| namespace caffe2 { |
| |
| namespace { |
| REGISTER_CPU_OPERATOR(LSTMUnit, LSTMUnitOp<float, CPUContext>); |
| OPERATOR_SCHEMA(LSTMUnit).NumInputs(4).NumOutputs(2).SetDoc(R"DOC( |
| |
| LSTMUnit computes the activations of a standard LSTM (without peephole |
| connections), in a sequence-length aware fashion. |
| |
| Concretely, given the (fused) inputs X (TxNxD), the previous cell |
| state (NxD), and the sequence lengths (N), computes the LSTM |
| activations, avoiding computation if the input is invalid (as in, the |
| value at X{t][n] >= seqLengths[n]. |
| |
| )DOC"); |
| REGISTER_CPU_OPERATOR(LSTMUnitGradient, LSTMUnitGradientOp<float, CPUContext>); |
| OPERATOR_SCHEMA(LSTMUnitGradient).NumInputs(8).NumOutputs(2); |
| |
| class GetLSTMUnitGradient : public GradientMakerBase { |
| using GradientMakerBase::GradientMakerBase; |
| vector<OperatorDef> GetGradientDefs() override { |
| return SingleGradientDef( |
| "LSTMUnitGradient", |
| "", |
| vector<string>{I(0), I(1), I(2), I(3), O(0), O(1), GO(0), GO(1)}, |
| vector<string>{GI(0), GI(1)}); |
| } |
| }; |
| REGISTER_GRADIENT(LSTMUnit, GetLSTMUnitGradient); |
| } |
| } |