diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/resize_bilinear_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/resize_bilinear_2.model.cpp | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/resize_bilinear_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/resize_bilinear_2.model.cpp new file mode 100644 index 000000000..b0f0768ec --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/resize_bilinear_2.model.cpp @@ -0,0 +1,27 @@ +// Generated file (from: resize_bilinear_2.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type2(Type::INT32, {}); + OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 2}); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto height = model->addOperand(&type2); + auto width = model->addOperand(&type2); + // Phase 2, operations + static int32_t height_init[] = {3}; + model->setOperandValue(height, height_init, sizeof(int32_t) * 1); + static int32_t width_init[] = {3}; + model->setOperandValue(width, width_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op1}, + {op2}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |