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-rw-r--r--runtimes/tests/neural_networks_test/generated/models/mean.model.cpp28
1 files changed, 28 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/mean.model.cpp b/runtimes/tests/neural_networks_test/generated/models/mean.model.cpp
new file mode 100644
index 000000000..7d26f9fa8
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/mean.model.cpp
@@ -0,0 +1,28 @@
+// Generated file (from: mean.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT32, {1, 2, 1});
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
+ OperandType type1(Type::TENSOR_INT32, {1});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto keepDims = model->addOperand(&type2);
+ auto output = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t axis_init[] = {2};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ static int32_t keepDims_init[] = {0};
+ model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input},
+ {output});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}