summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp
diff options
context:
space:
mode:
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.cpp26
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();
+}