82     input_ = GetInput(operation, operands, kInputTensor);  in BidirectionalSequenceLSTM()
176     if (input_->type == OperandType::TENSOR_FLOAT32) {  in BidirectionalSequenceLSTM()
253     if (input_->type == OperandType::TENSOR_FLOAT32) {  in Prepare()
267     NN_CHECK(NumDimensions(input_) == 3);  in Prepare()
268     const uint32_t max_time = SizeOfDimension(input_, params_.time_major ? 0 : 1);  in Prepare()
269     const uint32_t n_batch = SizeOfDimension(input_, params_.time_major ? 1 : 0);  in Prepare()
270     const uint32_t n_fw_input = SizeOfDimension(input_, 2);  in Prepare()
288                 input_, fw_input_to_input_weights_, fw_input_to_forget_weights_,  in Prepare()
336         NN_CHECK_EQ(aux_input_->shape().dimensions[0], input_->shape().dimensions[0]);  in Prepare()
337         NN_CHECK_EQ(aux_input_->shape().dimensions[1], input_->shape().dimensions[1]);  in Prepare()
341         int n_aux_input = SizeOfDimension(input_, 2);  in Prepare()
382     const Shape& inputShape = input_->shape();  in Prepare()
392             linkingMode == LinkingMode::PARALLEL_LINKING ? aux_input_ : input_;  in Prepare()
442     std::vector<uint32_t> fw_output_dims = input_->shape().dimensions;  in Eval()
456     switch (input_->type) {  in Eval()
458             const float* bwInput = GetBuffer<const float>(input_);  in Eval()
459             Shape bwInputShape = input_->shape();  in Eval()
485                     params_, GetBuffer<const float>(input_), input_->shape(),  in Eval()
581             const _Float16* bwInput = GetBuffer<const _Float16>(input_);  in Eval()
582             Shape bwInputShape = input_->shape();  in Eval()
609                     params_, GetBuffer<const _Float16>(input_), input_->shape(),  in Eval()
706             LOG(ERROR) << "Unsupported data type: " << static_cast<int>(input_->type);  in Eval()