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-rw-r--r--runtimes/tests/neural_networks_test/generated/models/squeeze_quant8_1.model.cpp24
1 files changed, 0 insertions, 24 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/squeeze_quant8_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/squeeze_quant8_1.model.cpp
deleted file mode 100644
index f122d43f5..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/squeeze_quant8_1.model.cpp
+++ /dev/null
@@ -1,24 +0,0 @@
-// Generated file (from: squeeze_quant8_1.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type1(Type::TENSOR_INT32, {1});
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 24, 1}, 1.0, 0);
- OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 24}, 1.0, 0);
- // Phase 1, operands
- auto input = model->addOperand(&type0);
- auto squeezeDims = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t squeezeDims_init[] = {2};
- model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {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();
-}