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-rw-r--r--runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp26
1 files changed, 0 insertions, 26 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp
deleted file mode 100644
index 2938a1aec..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// Generated file (from: concat_float_2.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type2(Type::INT32, {});
- OperandType type1(Type::TENSOR_FLOAT32, {40, 230});
- OperandType type0(Type::TENSOR_FLOAT32, {52, 230});
- OperandType type3(Type::TENSOR_FLOAT32, {92, 230});
- // Phase 1, operands
- auto input1 = model->addOperand(&type0);
- auto input2 = model->addOperand(&type1);
- auto axis0 = model->addOperand(&type2);
- auto output = model->addOperand(&type3);
- // Phase 2, operations
- static int32_t axis0_init[] = {0};
- model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input1, input2},
- {output});
- assert(model->isValid());
-}
-
-bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}