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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_float_large_weights_as_inputs.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/fully_connected_float_large_weights_as_inputs.model.cpp27
1 files changed, 0 insertions, 27 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_large_weights_as_inputs.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_large_weights_as_inputs.model.cpp
deleted file mode 100644
index 2b1f58697..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_large_weights_as_inputs.model.cpp
+++ /dev/null
@@ -1,27 +0,0 @@
-// Generated file (from: fully_connected_float_large_weights_as_inputs.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type3(Type::INT32, {});
- OperandType type2(Type::TENSOR_FLOAT32, {1, 1});
- OperandType type0(Type::TENSOR_FLOAT32, {1, 5});
- OperandType type1(Type::TENSOR_FLOAT32, {1});
- // Phase 1, operands
- auto op1 = model->addOperand(&type0);
- auto op2 = model->addOperand(&type0);
- auto b0 = model->addOperand(&type1);
- auto op3 = model->addOperand(&type2);
- auto act = model->addOperand(&type3);
- // Phase 2, operations
- static int32_t act_init[] = {0};
- model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {op1, op2, b0},
- {op3});
- assert(model->isValid());
-}
-
-bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}