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-rw-r--r--runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp24
1 files changed, 24 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp
new file mode 100644
index 000000000..e074783e5
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp
@@ -0,0 +1,24 @@
+// Generated file (from: batch_to_space_float_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 4, 1});
+ OperandType type0(Type::TENSOR_FLOAT32, {4, 2, 2, 1});
+ OperandType type1(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto block_size = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t block_size_init[] = {2, 2};
+ model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
+ model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {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();
+}