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, 0 insertions, 26 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
deleted file mode 100644
index 8c5970d1c..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/hashtable_lookup_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// 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();
-}