Searched refs:input1_array (Results 1 – 4 of 4) sorted by relevance
72 const auto& input1_array = model->GetArray(binary_op->inputs[1]); in EvaluateBinaryOperatorOnConstantInputs() local76 CHECK(input1_array.data_type == InputsDataType); in EvaluateBinaryOperatorOnConstantInputs()82 CHECK(input1_array.buffer); in EvaluateBinaryOperatorOnConstantInputs()87 const auto& input1_data = input1_array.GetBuffer<InputsDataType>().data; in EvaluateBinaryOperatorOnConstantInputs()100 Shape input1_shape = input1_array.shape(); in EvaluateBinaryOperatorOnConstantInputs()215 const auto& input1_array = model->GetArray(binary_op->inputs[1]); in Run() local217 if (!input0_array.buffer || !input1_array.buffer) { in Run()239 CHECK(input0_array.data_type == input1_array.data_type) in Run()244 << static_cast<int>(input1_array.data_type) << ")."; in Run()
485 const auto& input1_array = model->GetArray(op->inputs[1]); in ProcessSimpleBinaryOperator() local487 if (!input0_array.has_shape() || !input1_array.has_shape()) { in ProcessSimpleBinaryOperator()492 ComputeBinaryOperatorOutputSize(input0_array.shape(), input1_array.shape(), in ProcessSimpleBinaryOperator()506 const auto& input1_array = model->GetArray(op->inputs[1]); in ProcessSelectOperator() local508 output_array.copy_shape(input1_array.shape()); in ProcessSelectOperator()
61 Array& input1_array = input_model_.GetOrCreateArray(op->inputs[0]); in AddOperatorsByName() local64 input1_array.data_type = ArrayDataType::kFloat; in AddOperatorsByName()72 Array& input1_array = input_model_.GetOrCreateArray(op->inputs[0]); in AddOperatorsByName() local75 input1_array.data_type = ArrayDataType::kFloat; in AddOperatorsByName()78 input1_array.copy_shape({1, 2, 2, 2}); in AddOperatorsByName()146 Array& input1_array = input_model_.GetOrCreateArray(op->inputs[0]); in BuildQuantizableTestModel() local149 input1_array.data_type = ArrayDataType::kFloat; in BuildQuantizableTestModel()
276 const Array& input1_array = op_signature.model->GetArray(input1_name); in GetVersion() local280 if (input1_array.has_shape() && input2_array.has_shape()) { in GetVersion()282 std::max(input1_array.shape().dimensions_count(), in GetVersion()285 (input1_array.shape() != input2_array.shape()); in GetVersion()313 const Array& input1_array = op_signature.model->GetArray(input1_name); in GetVersion() local317 if (input1_array.has_shape() && input2_array.has_shape()) { in GetVersion()319 std::max(input1_array.shape().dimensions_count(), in GetVersion()322 (input1_array.shape() != input2_array.shape()); in GetVersion()671 const Array& input1_array = op_signature.model->GetArray(input1_name); in GetVersion() local674 const auto& input1_quant = input1_array.quantization_params; in GetVersion()