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-rw-r--r--runtimes/tests/neural_networks_test/generated/models/gather_2D_float.model.cpp26
1 files changed, 26 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/gather_2D_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/gather_2D_float.model.cpp
new file mode 100644
index 000000000..3d80c4496
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/gather_2D_float.model.cpp
@@ -0,0 +1,26 @@
+// Generated file (from: gather_2D_float.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT32, {2,4});
+ OperandType type0(Type::TENSOR_FLOAT32, {3,4});
+ OperandType type1(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto axis = model->addOperand(&type2);
+ auto op3 = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperationEx(ANEURALNETWORKS_GATHER_EX, {op1, op2, axis}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1, op2},
+ {op3});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}