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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp29
1 files changed, 29 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp
new file mode 100644
index 000000000..d3a7bf338
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp
@@ -0,0 +1,29 @@
+// Generated file (from: l2_pool_float.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto cons1 = model->addOperand(&type1);
+ auto pad0 = model->addOperand(&type1);
+ auto act = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type0);
+ // Phase 2, operations
+ static int32_t cons1_init[] = {1};
+ model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
+ static int32_t pad0_init[] = {0};
+ model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
+ static int32_t act_init[] = {0};
+ model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op3});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}