68     const Shape& inputShape = input->shape();  in Prepare()  local
71     hiddenStateShape->type = inputShape.type;  in Prepare()
75     outputShape->type = inputShape.type;  in Prepare()
116 bool RNN::RNNStep(const T* inputData, const Shape& inputShape, const T* hiddenStateInputData,  in RNNStep()  argument
124     return RNNStep<T>(inputData, inputShape, /*auxInputData=*/nullptr, /*auxInputShape=*/dummyShape,  in RNNStep()
136 bool RNN::RNNStep(const T* inputData, const Shape& inputShape, const T* auxInputData,  in RNNStep()  argument
145     const uint32_t batch_size = inputShape.dimensions[0];  in RNNStep()
147     const uint32_t input_size = inputShape.dimensions[1];  in RNNStep()
223 template bool RNN::RNNStep<_Float16>(const _Float16* inputData, const Shape& inputShape,
229 template bool RNN::RNNStep<_Float16>(const _Float16* inputData, const Shape& inputShape,
239 template bool RNN::RNNStep<float>(const float* inputData, const Shape& inputShape,
245 template bool RNN::RNNStep<float>(const float* inputData, const Shape& inputShape,