diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large_weights_as_inputs.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large_weights_as_inputs.model.cpp | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large_weights_as_inputs.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large_weights_as_inputs.model.cpp new file mode 100644 index 000000000..5d70dc9be --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large_weights_as_inputs.model.cpp @@ -0,0 +1,27 @@ +// Generated file (from: fully_connected_quant8_large_weights_as_inputs.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type3(Type::INT32, {}); + OperandType type1(Type::TENSOR_INT32, {1}, 0.04, 0); + OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1}, 1.f, 0); + OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5}, 0.2, 0); + // 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(); +} |