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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp32
1 files changed, 0 insertions, 32 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp
deleted file mode 100644
index 04c4efece..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_1_nnfw.model.cpp
+++ /dev/null
@@ -1,32 +0,0 @@
-// Generated file (from: fully_connected_float_1_nnfw.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type4(Type::INT32, {});
- OperandType type3(Type::TENSOR_FLOAT32, {1, 1});
- OperandType type1(Type::TENSOR_FLOAT32, {1, 24});
- OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 4, 2});
- OperandType type2(Type::TENSOR_FLOAT32, {1});
- // Phase 1, operands
- auto op1 = model->addOperand(&type0);
- auto op2 = model->addOperand(&type1);
- auto b0 = model->addOperand(&type2);
- auto op3 = model->addOperand(&type3);
- auto act_relu = model->addOperand(&type4);
- // Phase 2, operations
- static float op2_init[] = {-0.25449711f, 0.0f, -2.1247749f, 0.0f, -1.143796f, 0.0f, -1.0299346f, 0.0f, -2.2373879f, 0.0f, -0.083096743f, 0.0f, -1.3230739f, 0.0f, 0.15294921f, 0.0f, -0.53045893f, 0.0f, -0.46075189f, 0.0f, -1.4482396f, 0.0f, -1.609534f, 0.0f};
- model->setOperandValue(op2, op2_init, sizeof(float) * 24);
- static float b0_init[] = {0.70098364f};
- model->setOperandValue(b0, b0_init, sizeof(float) * 1);
- static int32_t act_relu_init[] = {0};
- model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {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();
-}