diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp new file mode 100644 index 000000000..8c5970d1c --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp @@ -0,0 +1,26 @@ +// Generated file (from: hashtable_lookup_float.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type2(Type::TENSOR_FLOAT32, {3, 2}); + OperandType type3(Type::TENSOR_FLOAT32, {4, 2}); + OperandType type1(Type::TENSOR_INT32, {3}); + OperandType type0(Type::TENSOR_INT32, {4}); + OperandType type4(Type::TENSOR_QUANT8_ASYMM, {4}, 1.f, 0); + // Phase 1, operands + auto lookup = model->addOperand(&type0); + auto key = model->addOperand(&type1); + auto value = model->addOperand(&type2); + auto output = model->addOperand(&type3); + auto hits = model->addOperand(&type4); + // Phase 2, operations + model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {lookup, key, value}, + {output, hits}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |