93         Execution execution(&compilation);  in invoke()  local
96         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kInputTensor, input_),  in invoke()
98         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kInputToInputWeightsTensor,  in invoke()
101         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kInputToForgetWeightsTensor,  in invoke()
104         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kInputToCellWeightsTensor,  in invoke()
107         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kInputToOutputWeightsTensor,  in invoke()
110         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kRecurrentToInputWeightsTensor,  in invoke()
113         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kRecurrentToForgetWeightsTensor,  in invoke()
116         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kRecurrentToCellWeightsTensor,  in invoke()
119         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kRecurrentToOutputWeightsTensor,  in invoke()
123                 setInputTensor(&execution, QuantizedLSTMCell::kInputGateBiasTensor, inputGateBias_),  in invoke()
125         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kForgetGateBiasTensor,  in invoke()
128         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kCellGateBiasTensor, cellGateBias_),  in invoke()
130         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kOutputGateBiasTensor,  in invoke()
134                 setInputTensor(&execution, QuantizedLSTMCell::kPrevCellStateTensor, prevCellState_),  in invoke()
136         ASSERT_EQ(setInputTensor(&execution, QuantizedLSTMCell::kPrevOutputTensor, prevOutput_),  in invoke()
140                 setOutputTensor(&execution, QuantizedLSTMCell::kCellStateOutTensor, &cellStateOut_),  in invoke()
142         ASSERT_EQ(setOutputTensor(&execution, QuantizedLSTMCell::kOutputTensor, &output_),  in invoke()
145         ASSERT_EQ(execution.compute(), Result::NO_ERROR);  in invoke()
225     Result setInputTensor(Execution* execution, int tensor, const std::vector<T>& data) {  in setInputTensor()  argument
226         return execution->setInput(tensor, data.data(), sizeof(T) * data.size());  in setInputTensor()
229     Result setOutputTensor(Execution* execution, int tensor, std::vector<T>* data) {  in setOutputTensor()  argument
230         return execution->setOutput(tensor, data->data(), sizeof(T) * data->size());  in setOutputTensor()